IDENTIFYING THE ECOTOURISM SUITABILITY SCORE FOR MARINA BEACH AND ELLIOT'S BEACH OF CHENNAI COAST, TAMIL NADU, INDIA.

At the Chennai Coast in Tamil Nadu, India, research is done. Finding out whether Marina Beach and Elliott's Beach are suitable for ecotourism is the study's main goal. For the research using the ecotourism suitability index methodology, land use, land cover, erosion, accretion, beach type, beach width, proximity to bus stop, proximity to train station, and suspended sediment load have all been taken into account. The suitability index of eco tourism is assigned into 4 (four) classes, which are: Class S1 (Highly suitable), Class S2 (Quite Suitable), Class S3 (Suitable with condition) and Class N (Not Suitable). Result of analysis indicates that coast area of Marina Beach and Elliots beach area comes in the class of Highly suitable (S1) by score total of 129 or 95.5 % and 116 or 85.9 % respectively. According to the research, Marina Beach has a sand feature as a land use land cover, 213 metres of beach width, good clarity (500 mg/L), is located 361 metres from a bus stop and 681 metres from a train station, has moderate erosion, and has not experienced any accretion. The beach type is white sand. Likewise, Elliots Beach has a sand feature as a land use land cover, with 222 metres of beach width, good clarity (600 mg/L), 642 metres from the bus stop, and 2351 metres from the railway station, which is high. There is moderate erosion and no accretion, and the sand is of the beach type, which is white. Marina beach has high tourism suitability index as compared to Elliot's beach. By considering marina beach, all the eight parameters are considered to be ne whereas Elliot's beach has far away accessibility this is the main reason for lowering the tourism suitability.

Normalized difference vegetation index for desiccation evaluation with glyphosate + 2, 4-D in magnetized spray solution / Índice de vegetação por diferença normalizada para avaliação de dessecação com glyphosate + 2, 4-D em calda magnetizada

Abstract Water magnetization and geoprocessing are increasingly utilized tools in weed management. Our objective was to study the influence of water magnetization on herbicide efficiency and to verify whether there is a relationship between control scores and the normalized difference vegetation index (NDVI). In the laboratory experiment, water was subjected to magnetization and evaluated with respect to four characteristics. In the field experiment, plots of Brachiaria grass were subjected to treatments in a factorial scheme (6 × 2 + 1). Six herbicidal factors (doses of glyphosate and glyphosate + 2,4-D) and the magnetization or absence of magnetization of the spray solution were evaluated and compared against the control treatment (without spraying). Weed control assessments were carried out six times. Images were obtained using an embedded multispectral camera to determine the NDVI values. Data related to water characteristics were analyzed using the t test. Weed control and NDVI data were subjected to analysis of variance and are presented in regression graphs. Dispersion analysis of NDVI data was performed according to the control scores. The magnetization process decreased the pH of the water and increased the surface tension, but it did not influence the control scores or the NDVI. As the glyphosate dose was increased, the control scores were higher and the NDVI values were lower. Magnetized water did not affect the biological efficiency of the herbicides, and there was a strong correlation between the control scores and the NDVI values.

Resumo A magnetização da água e o geoprocessamento são ferramentas cada vez mais utilizadas no manejo de ervas daninhas. Nosso objetivo foi estudar a influência da magnetização da água na eficiência do herbicida e verificar se existe uma relação entre os escores de controle e o índice de vegetação por diferença normalizada (NDVI). No experimento de laboratório, a água foi submetida à magnetização e avaliada em relação a quatro características. No experimento de campo, parcelas de capim-braquiária foram submetidas a tratamentos em esquema fatorial (6 × 2 + 1). Seis fatores herbicidas (doses de glyphosate e glyphosate + 2,4-D) e a magnetização ou ausência de magnetização da calda foram avaliados e comparados com o tratamento controle (sem pulverização). Avaliações de controle de plantas daninhas foram realizadas seis vezes. As imagens foram obtidas usando uma câmera multiespectral incorporada para determinar os valores de NDVI. Os dados relacionados às características da água foram analisados ​​por meio do teste t. O controle de plantas daninhas e os dados de NDVI foram submetidos à análise de variância e são apresentados em gráficos de regressão. A análise de dispersão dos dados NDVI foi realizada de acordo com os escores de controle. O processo de magnetização diminuiu o pH da água e aumentou a tensão superficial, mas não influenciou nos escores de controle ou no NDVI. Conforme a dose de glyphosate foi aumentada, os escores de controle foram maiores e os valores de NDVI foram menores. A água magnetizada não afetou a eficiência biológica dos herbicidas, e houve uma forte correlação entre os escores de controle e os valores de NDVI.

Mapping threatened canga ecosystems in the Brazilian savanna using U-Net deep learning segmentation and Sentinel-2 images: a first step toward conservation planning / Mapeamento de ecossistemas de canga ameaçados no Cerrado brasileiro utilizando deep learning segmentação U-Net e imagens Sentinel-2: um primeiro passo para o planejamento de conservação

Abstract Canga ecosystems are iron-rich habitats and pose a challenge for conservation and environmental governance in Brazil. They support high levels of biodiversity and endemism and, at the same time, have suffered intense losses and degradation due to large-scale iron ore mining. The Peixe Bravo River Valley in the Brazilian savanna is one of the last natural canga areas that has yet to face the irreversible impacts of mining. However, there are vast gaps in data on the vegetation cover, location, spatial distribution, and area of occurrence of this ecosystem. Therefore, more information is needed on the appropriate scale, without which it is difficult to establish conservation planning and strategies to prevent, mitigate or compensate for impacts on canga ecosystems. In this study, we provide the first map of canga ecosystems in Brazil using the U-Net deep learning model and Sentinel-2 images. In addition, we estimate the degree of direct threat faced by ecosystems due to the spatial overlap of the mapped cangas and the location of mining concession areas for iron ore exploitation. The deep learning algorithm identified and segmented 762 canga patches (overall accuracy of 98.5%) in an area of 30,000 ha in the Peixe Bravo River Valley, demonstrating the high predictive power of the mapping approach. We conclude that the direct threat to canga ecosystems is high since 99.6% of the observed canga patches are included in mining concession areas. We also highlight that the knowledge acquired about the distribution of cangas through the application of an effective method of artificial intelligence and the use of open-source satellite images is especially important for supporting conservation strategies and environmental public policies.

Resumo Os ecossistemas de Canga, habitats com elevadas concentrações de ferro, são um desafio para conservação e governança ambiental no Brasil. Eles sustentam uma alta biodiversidade e endemismo, e sofreram intensas perdas e degradações de áreas naturais devido à mineração de ferro em larga escala. O Vale do Rio Peixe Bravo, localizado no Cerrado brasileiro, é uma das últimas regiões com ecossistemas de canga que ainda não sofreu impactos irreversíveis da mineração. Mas ainda há ausência de dados sobre a cobertura vegetal, localização, distribuição geográfica e a área de ocorrência desse ecossistema. Portanto, a ausência de informações em escala adequada dificulta o planejamento em conservação e as estratégias para prevenir, mitigar ou compensar os impactos nos ecossistemas de canga. Neste estudo, nós fornecemos o primeiro mapa de ecossistemas de canga no Brasil elaborado a partir de deep learning segmentação U-Net e imagens de satélite Sentinel-2. Além disso, nós estimamos o grau de ameaça direta dos ecossistemas devido a sobreposição espacial das manchas de cangas preditas e a localização dos títulos de concessão minerária para exploração do minério de ferro. O algoritmo de aprendizado profundo identificou 762 manchas de canga (acurácia acima de 98,5%) em uma área de 30.000 ha no Vale do Rio Peixe Bravo, demonstrando o alto poder preditivo do método de mapeamento. Nós estimamos que há um alto grau de ameaça direta aos ecossistemas de canga, uma vez que 99,6% das manchas de cangas preditas estão incluídas em áreas de concessão de mineração. Nós também destacamos que o conhecimento adquirido sobre a distribuição das cangas por meio da aplicação de um método eficaz de inteligência artificial e do uso de imagens de satélite de código aberto é especialmente importante para apoiar estratégias de conservação e políticas públicas ambientais.

Normalized difference vegetation index for desiccation evaluation with glyphosate + 2, 4-D in magnetized spray solution / Índice de vegetação por diferença normalizada para avaliação de dessecação com glyphosate + 2, 4-D em calda magnetizada

Water magnetization and geoprocessing are increasingly utilized tools in weed management. Our objective was to study the influence of water magnetization on herbicide efficiency and to verify whether there is a relationship between control scores and the normalized difference vegetation index (NDVI). In the laboratory experiment, water was subjected to magnetization and evaluated with respect to four characteristics. In the field experiment, plots of Brachiaria grass were subjected to treatments in a factorial scheme (6 × 2 + 1). Six herbicidal factors (doses of glyphosate and glyphosate + 2,4-D) and the magnetization or absence of magnetization of the spray solution were evaluated and compared against the control treatment (without spraying). Weed control assessments were carried out six times. Images were obtained using an embedded multispectral camera to determine the NDVI values. Data related to water characteristics were analyzed using the t test. Weed control and NDVI data were subjected to analysis of variance and are presented in regression graphs. Dispersion analysis of NDVI data was performed according to the control scores. The magnetization process decreased the pH of the water and increased the surface tension, but it did not influence the control scores or the NDVI. As the glyphosate dose was increased, the control scores were higher and the NDVI values were lower. Magnetized water did not affect the biological efficiency of the herbicides, and there was a strong correlation between the control scores and the NDVI values.

A magnetização da água e o geoprocessamento são ferramentas cada vez mais utilizadas no manejo de ervas daninhas. Nosso objetivo foi estudar a influência da magnetização da água na eficiência do herbicida e verificar se existe uma relação entre os escores de controle e o índice de vegetação por diferença normalizada (NDVI). No experimento de laboratório, a água foi submetida à magnetização e avaliada em relação a quatro características. No experimento de campo, parcelas de capim-braquiária foram submetidas a tratamentos em esquema fatorial (6 × 2 + 1). Seis fatores herbicidas (doses de glyphosate e glyphosate + 2,4-D) e a magnetização ou ausência de magnetização da calda foram avaliados e comparados com o tratamento controle (sem pulverização). Avaliações de controle de plantas daninhas foram realizadas seis vezes. As imagens foram obtidas usando uma câmera multiespectral incorporada para determinar os valores de NDVI. Os dados relacionados às características da água foram analisados por meio do teste t. O controle de plantas daninhas e os dados de NDVI foram submetidos à análise de variância e são apresentados em gráficos de regressão. A análise de dispersão dos dados NDVI foi realizada de acordo com os escores de controle. O processo de magnetização diminuiu o pH da água e aumentou a tensão superficial, mas não influenciou nos escores de controle ou no NDVI. Conforme a dose de glyphosate foi aumentada, os escores de controle foram maiores e os valores de NDVI foram menores. A água magnetizada não afetou a eficiência biológica dos herbicidas, e houve uma forte correlação entre os escores de controle e os valores de NDVI.

Normalized difference vegetation index for desiccation evaluation with glyphosate + 2,4-D in magnetized spray solution

Abstract Water magnetization and geoprocessing are increasingly utilized tools in weed management. Our objective was to study the influence of water magnetization on herbicide efficiency and to verify whether there is a relationship between control scores and the normalized difference vegetation index (NDVI). In the laboratory experiment, water was subjected to magnetization and evaluated with respect to four characteristics. In the field experiment, plots of Brachiaria grass were subjected to treatments in a factorial scheme (6 × 2 + 1). Six herbicidal factors (doses of glyphosate and glyphosate + 2,4-D) and the magnetization or absence of magnetization of the spray solution were evaluated and compared against the control treatment (without spraying). Weed control assessments were carried out six times. Images were obtained using an embedded multispectral camera to determine the NDVI values. Data related to water characteristics were analyzed using the t test. Weed control and NDVI data were subjected to analysis of variance and are presented in regression graphs. Dispersion analysis of NDVI data was performed according to the control scores. The magnetization process decreased the pH of the water and increased the surface tension, but it did not influence the control scores or the NDVI. As the glyphosate dose was increased, the control scores were higher and the NDVI values were lower. Magnetized water did not affect the biological efficiency of the herbicides, and there was a strong correlation between the control scores and the NDVI values.

Resumo A magnetização da água e o geoprocessamento são ferramentas cada vez mais utilizadas no manejo de ervas daninhas. Nosso objetivo foi estudar a influência da magnetização da água na eficiência do herbicida e verificar se existe uma relação entre os escores de controle e o índice de vegetação por diferença normalizada (NDVI). No experimento de laboratório, a água foi submetida à magnetização e avaliada em relação a quatro características. No experimento de campo, parcelas de capim-braquiária foram submetidas a tratamentos em esquema fatorial (6 × 2 + 1). Seis fatores herbicidas (doses de glyphosate e glyphosate + 2,4-D) e a magnetização ou ausência de magnetização da calda foram avaliados e comparados com o tratamento controle (sem pulverização). Avaliações de controle de plantas daninhas foram realizadas seis vezes. As imagens foram obtidas usando uma câmera multiespectral incorporada para determinar os valores de NDVI. Os dados relacionados às características da água foram analisados por meio do teste t. O controle de plantas daninhas e os dados de NDVI foram submetidos à análise de variância e são apresentados em gráficos de regressão. A análise de dispersão dos dados NDVI foi realizada de acordo com os escores de controle. O processo de magnetização diminuiu o pH da água e aumentou a tensão superficial, mas não influenciou nos escores de controle ou no NDVI. Conforme a dose de glyphosate foi aumentada, os escores de controle foram maiores e os valores de NDVI foram menores. A água magnetizada não afetou a eficiência biológica dos herbicidas, e houve uma forte correlação entre os escores de controle e os valores de NDVI.

Ajuste del coeficiente basal de cultivo (Kcb) de frijol (Phaseolus vulgaris) mediante teledetección

Para realizar un manejo eficiente del agua en la agricultura es necesario conocer los requerimientos hídricos del cultivo, lo cual, se puede realizar de manera sencilla y rápida, con la ayuda de cámaras convencionales. En este estudio, se determinaron los requerimientos hídricos de un cultivo de frijol (variedad DIACOL CALIMA G4494), sembrado en CIAT, Palmira - Valle del Cauca, Colombia, mediante la estimación de la curva del coeficiente basal de cultivo (Kcb), derivada de la curva de fracción de cobertura vegetal (Fcv). Para determinar la curva de fracción de cobertura vegetal, se emplearon imágenes tomadas con una cámara digital en el espectro visible (RGB), a baja altura (menos de 3 m). Las necesidades hídricas del cultivo de frijol, se calcularon empleando los valores del coeficiente basal de cultivo derivados junto con la modelación FAO-56. Los resultados indican que la curva de Kcb ajustada por fotografía fue diferente a la curva estándar presentada en la publicación FAO-56 para frijol, mostrando, principalmente, diferencia en la duración de las etapas y los valores de Kcb, en estas etapas. En cuanto a las necesidades hídricas, al emplear la curva de Kcb ajustada por fotografías, se evidencia que el cultivo requiere más agua en las etapas media y final, para evitar estrés hídrico en las plantas.

To carry out efficient water management in agriculture, it is necessary to know the water requirements of the crop, which can be done easily and quickly with the help of conventional cameras. In this study, the water requirements of a bean crop (DIACOL CALIMA G4494 variety) planted in CIAT, Palmira - Valle del Cauca, Colombia, were determined by estimating the curve of the basal crop coefficient (Kcb) derived from the vegetation cover fraction curve (Fcv). To determine the vegetation cover fraction curve, images taken with a digital camera in the visible spectrum (RGB) at low height (less than 3m) were used. The water needs of the bean crop were calculated using the basal crop coefficient values derived together with the FAO-56 modelling. The results indicate that the Kcb curve adjusted by photography was different from the standard curve presented in the publication FAO-56 for beans, mainly showing a difference in the duration of the stages and the Kcb values in these stages. Regarding water needs, when using the Kcb curve adjusted by photographs, it is evident that the crop requires more water in the middle and final stages, to avoid water stress in the plants.

Wetland Inventory, Assessment and Monitoring

The destruction caused to natural resources by human activity to a certain extent is rectified by the wetland, but the pace of disappearing wetland created a situation to find requisite program and tool for Wetland Inventory, Assessment and Monitoring. Several organizations are working cumulatively designing methodologies and policies to restore and improve the biotic characteristic. Wetland inventory provide guidance for the systematic collection of resource data using both tradition manual and advanced remote sensing tools.Whereas Wetland assessment includes identification of ecological stature and extent threat caused. Wetland monitoring is collection of information of the assessment activities as a result of the management and conducting surveillance in the existing and reduced threat. This review discusses the various methodologies followed by different situations around the globe.

Correlation between vegetation indexes generated at Vitis Vinifera L. and soil, plant and production parameters for emergency application in decision making / Correlação entre indices de vegetação gerados em Vitis Vinifera L. e parâmetros de solo, planta e produção para aplicação emergencial na tomada de decisão

Correlation between proximal sensing techniques and laboratory results of qualitative variables plus agronomic attributes was evaluated of a 3,0 ha vineyard in the county of Muitos Capões, Northeast of Rio Grande do Sul State, Brazil, in Vitis vinifera L. at 2017/2018 harvest, aiming to evaluate the replacement of conventional laboratory analysis in viticulture by Vegetation Indexes, at situations were laboratory access are unavailable. Based on bibliographic research, looking for vegetative indexes developed or used for canopy reflectance analysis on grapevines and whose working bands were within the spectral range provided by the equipment used, a total of 17 viable candidates were obtained. These chosen vegetation indices were correlated, through Pearson (5%), with agronomic soil attributes (apparent electrical conductivity, clay, pH in H2O, phosphorus, potassium, organic matter, aluminum, calcium, magnesium, effective CTC, CTC at pH 7.0, zinc, copper, sulfur and boron) for depths 0 -20 cm and 20-40 cm, and plant tissue (Nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, copper, zinc, iron, manganese and boron) , in addition to some key oenological and phytotechnical parameters for the quantification of wine production and quality. One hundred and thirty ninesignificant correlations were obtained from this cross, with 36 moderate coefficients between 19 parameter variables versus 12 of the indexes. We concluded that in cases where access or availability of laboratory analyzes is difficult or impracticable, the use of vegetation indices is possible if the correlation coefficients reach, at least, the moderate magnitude, serving as a support to decision making until the lack analytical structure to be remedied.

Avaliou-se a correlação entre as técnicas de sensoriamento proximal e os resultados laboratoriais de variáveis qualitativas, mais os atributos agronômicos do solo de um vinhedo de 3,0 ha no município de Muitos Capões, região nordeste do estado do Rio Grande do Sul, Brasil, na safra 2017/2018. Objetivou avaliar a substituição das análises laboratoriais convencionais em viticultura por Índices de Vegetação, em situações de indisponibilidade de acesso ao laboratório. Com base em pesquisa bibliográfica, buscaram-se índices vegetativos desenvolvidos ou utilizados para análise de refletância de dossel em videiras e cujas bandas de trabalho estavam dentro do intervalo espectral fornecido pelo equipamento utilizado, obtendo-se um total de 17 candidatos viáveis. Esses índices de vegetação escolhidos foram correlacionados, por meio de Pearson (5%), com atributos agronômicos do solo (condutividade elétrica aparente, argila, pH em H2O, fósforo, potássio, matéria orgânica, alumínio, cálcio, magnésio, CTC efetivo, CTC em pH 7,0, zinco, cobre, enxofre e boro) para profundidades de 0 - 20 cm e 20 - 40 cm, e tecido vegetal (nitrogênio, fósforo, potássio, cálcio, magnésio, enxofre, cobre, zinco, ferro, manganês e boro), além de alguns parâmetros enológicos e fitotécnicos essenciais para a quantificação da produção e qualidade do vinho. Deste cruzamento foram obtidas 139 correlações significativas, resultando 36 coeficientes moderados entre 19 variáveis de parâmetros versus 12 dos índices. Concluímos que nos casos em que o acesso ou disponibilidade de análises laboratoriais é difícil ou impraticável, a utilização de índices de vegetação é possível, desde que os coeficientes de correlação atinjam, pelo menos, a magnitude moderada, servindo como suporte para a tomada de decisão até a falta de estrutura analítica ser remediada.

Spectral responses at visible and near-infrared wavelengths of soybean plants to fungicides / Respostas espectrais em comprimentos de onda visível e infravermelho-próximo de plantas de soja a fungicidas

The study evaluated the efficacy and soybean spectral responses to fifteen foliar fungicide mixtures labeled to control Asian soybean rust. Canopy level reflectance was measured using a multispectral camera onboard a multirotor drone before and two hours after each spray. The third application of fungicides improved control of soybean rust and increased yield. Nevertheless, up to three consecutive foliar fungicides applications did not affect the reflectance of soybean plants at visible and infrared wavelengths. Thus, drones can be a viable strategy for data acquisition regardless of the application of the fungicides.

Esse estudo avaliou a eficácia e as respostas espectrais de plantas de soja a quinze misturas de fungicidas utilizados no controle da ferrugem asiática da soja (FAS). A refletância do nível do dossel foi medida usando uma câmera multiespectral a bordo de um drone multirotor antes e duas horas após cada pulverização. A terceira aplicação de fungicidas melhorou o controle de FAS e aumentou a produtividade. Porém, três aplicações foliares consecutivas de fungicidas não afetaram a refletância de plantas de soja nos comprimentos de onda visível e infravermelho. Assim, drones podem ser uma estratégia viável para aquisição de dados independentemente da aplicação de fungicidas.

Unmanned aerial vehicle, and GIS tools, to monitor the reproduction of the flamingo Phoenicopterus chilensis (Aves: Phoenicopteridae) / Vehículos aéreos sin tripulación, y mapeo digital, para monitorear la reproducción del flamenco, Phoenicopterus chilensis (Aves: Phoenicopteridae)

Abstract Introduction: High Andean flamingos also known as parihuanas, are species of recurrent presence in the high Andean areas which find this area as an important resting, feeding and in some cases breeding area The species recorded here correspond to Phoenicoparrus jamesi, Phoenicoparrus andinus and Phoenicopterus chilensis, the latter being the most abundant and common. During the censuses performed during 2018 and 2019, in the high Andean lake of Salinas, Ramsar site, located within the Reserva Nacional Salinas y Aguada Blanca in Southern Peru, atypical behaviors of these birds were recorded in a sector of the lake, observing reproductive courtship and the settlement of colonies of P. chilensis. Objective: The study aimed to confirm and evaluate reproductive events of P. chilenesis (Chilean flamingo) through the use of an unmanned aerial vehicle (UAV) and image processing tools using geographic information systems. Methodology: Monitoring was conducted during 2018 and 2019 to breeding colonies of P. chilensis, we used a UAV Phantom 4 testing different flight altitudes to avoid disturbing the birds and performed records of aerial photographs and GIS post-processing with the creation of panchromatic images for the identification and counting of individuals and eggs automated, and manual verification. Results: During 2018 were identified nests and presence of six eggs, this occurred between March and June where the event was interrupted not observing chicks or juveniles during this period, for 2019 the breeding was more successful, where a higher number of eggs were counted (40-66) and with the formation of three reproductive colonies with 4 185 adult individuals, also verified the presence of chicks and juveniles that reached a maximum of 1 491 individuals. Conclusions: We confirmed two continuous reproductive events of P. chilensis in the Salinas lake, where during 2019 was the most successful incorporating several new individuals to the initial population, likewise the methodology applied in the image processing allowed differentiating between adult individuals and eggs but did not allow differentiating juveniles, however, the images directly acquired by the UAV allow distinguishing the types of individuals to perform a manual count.

Resumen Introducción: Los flamencos altoandinos también conocidos como parihuanas, son especies con presencia recurrente en las zonas altoandinas, principalmente en humedales salinos donde suelen arribar para descanso, alimentación y en algunos casos reproducción. Las especies que se registran aquí corresponden a Phoenicoparrus jamesi, Phoenicoparrus andinus y Phoenicopterus chilenesis, siendo esta última la más abundante y común. Durante los censos desarrollados en 2018 y 2019, en la laguna de Salinas, ubicada en la Reserva Nacional de Salinas y Aguada Blanca en el sur del Perú, se registraron comportamientos atípicos de estas aves en un sector del humedal, se observaron cortejos reproductivos y el asentamiento de colonias de flamencos chilenos. Objetivo: Confirmar y evaluar eventos reproductivos de Phoenicopterus chilenesis mediante la incorporación de un vehículo aéreo no tripulado (UAV) y herramientas de procesamiento de imágenes mediante sistemas de información geográfica. Metodología: Se realizaron censos aéreos durante 2018 y 2019 a colonias reproductivas del P. chilensis, utilizando un UAV Phantom 4 a diferentes alturas de vuelo para evitar la perturbación de las colonias de flamencos. Se realizaron registros de fotografías aéreas y post procesamiento SIG con la creación de imágenes pancromáticas para la identificación y conteo de individuos y huevos automatizada, así como la verificación manual. Resultados: En 2018 se identificaron nidos y la presencia de seis huevos, entre marzo y junio donde el evento fue interrumpido, no se observaron pollos o juveniles durante este periodo. En 2019 la nidificación tuvo éxito, se contabilizó un mayor número de huevos (40-66) con la formación de tres colonias reproductivas de 4 185 individuos adultos, se verificó la presencia de pollos y juveniles que alcanzaron un máximo de 1 491 individuos. Conclusiones: Se confirman dos eventos reproductivos continuos de P. chilensis en la laguna Salinas, durante el 2019 incorporando varios nuevos individuos a la población inicial. La metodología aplicada en el tratamiento de imágenes permitió diferenciar entre individuos adultos y huevos, pero no permitió diferenciar juveniles, aunque las imágenes directamente adquiridas por el UAV permiten diferenciar los tipos de individuos para realizar un conteo manual.

A tecnologia a favor da educação continuada no implante coclear / Technology in favor of continuous professional development in cochlear implant

RESUMO Objetivo avaliar a teleconsulta de forma síncrona no mapeamento do implante coclear (IC) como ferramenta de educação continuada para fonoaudiólogos em capacitação e treinamento. Métodos estudo prospectivo longitudinal, na modalidade de preceptorado clínico, com teleconsulta de forma síncrona direcionada ao atendimento de mapeamento dos usuários de IC. A educação continuada foi oferecida aos fonoaudiólogos aprimorandos em um hospital e o fonoaudiólogo tutor, em unidade remota. A plataforma utilizada permitiu ao tutor visualizar e realizar intervenções na tela de mapeamento do IC. Foram aplicados três questionários abrangendo os marcadores de ensino; qualidade e importância da teleconsulta; interação entre os profissionais e autoavaliação sobre a confiança na realização das etapas do mapeamento antes e após as teleconsultas. Resultados participaram sete fonoaudiólogos e foram analisados 268 atendimentos, ao longo de três anos. Os marcadores clínicos mostraram, na média e individualmente, que houve correlação estatística com diminuição do número de intervenções totais, nas intervenções do mapeamento do IC e raciocínio clínico, no decorrer das sessões. A média das notas nas avaliações da importância da teleconsulta foi 9,7 e a interação com o tutor, 9,3. Na autoavaliação, todos os aprimorandos responderam que estavam "nada/pouco confiantes" para as etapas do mapeamento antes da intervenção e, ao final do curso, responderam "moderadamente/muito confiantes" para as mesmas etapas. Conclusão o uso da teleconsulta síncrona foi viável e eficiente como ferramenta de ensino para fonoaudiólogos. Foi possível observar a diminuição do número de intervenções ao longo do tempo, evidenciando a curva de aprendizado.

ABSTRACT Purpose To evaluate the teleconsultation synchronously in the mapping of the cochlear implant (CI) as an ongoing professional development tool in training programmes for audiologists. Methods It was a prospective longitudinal study, in the form of clinical preceptor with teleconsultation in a synchronous way directed at assisting the mapping of CI users. Distance learning was offered to fellow audiologists in a hospital and the audiology tutor in the remote unit. The chosen platform allowed the tutor to view and perform interventions on the CI mapping screen. Three questionnaires covering teaching markers were applied; the quality and importance of teleconsultation; interaction between professionals; and self-assessment of confidence in carrying out the mapping steps before and after teleconsultations. Results Seven audiologists participated; 268 consultations were analyzed over three years. The clinical markers showed, on average and individually, that there is a statistical correlation with a decrease in the number of total interventions, in the interventions of CI mapping and clinical reasoning throughout the sessions. The average of the scores of the importance of teleconsultation was 9.7 and the interaction with the tutor was 9.3. In the self-assessment, all audiologists responded that they were "not at all/not very confident" for the mapping steps before the intervention, and at the end of the course they responded "moderately/very confident" for the same steps. Conclusion The use of synchronous teleconsultation was feasible and efficient as a teaching tool for audiologists. It was possible to observe the decrease in the number of interventions over time, evidencing the learning curve.

Spectral detection of nematodes in soybean at flowering growth stage using unmanned aerial vehicles / Detecção espectral de nematóides na soja em estádio de florescimento por meio de veículos aéreos não-tripulados

ABSTRACT: Soybean is one of the main crop species grown in the world. However, there is a decline in productivity due to the various types of stress, including the nematodes Heterodera glycines and Pratylenchus brachyurus. The objectives were to determine the best spectral band for detecting H. glycines and P. brachyurus at the beginning of flowering (R1). Soil and root sampling was conducted at nine sampling sites in each of the five nematode-infested regions, totaling 45 sampling points. Flights were made at all regions using Phantom 4 Advanced, Sequoia and 14-band customized Sentera. For H. glycines, the red spectral band best explained the variability on soil and root nematode counts as well as the second stage of juveniles in soil. For P. brachyurus, Sentera RedEdge best explained the variability in root nematode counts and Sequoia NIR best explained soil juveniles. A multiple linear regression model using spectral data for detecting P. brachyurus and H. glycines improved R² compared to simple linear regressions. At flowering growth stage (R1), soybean spectral reflectance was associated with the number of H. glycines and P. brachyurus on soil and roots using low-cost and multispectral sensors.

RESUMO: A soja é uma das principais espécies de planta cultivadas no mundo. Todavia, perdas de produtividade são ocasionadas por vários tipos de estresses, incluindo os nematoides H. glycines e P. brachyurus. Como objetivo, buscou-se determinar a melhor banda espectral para a detecção do H. glycines e P. brachyurus com o uso de modelos de regressões lineares simples e definir um modelo matemático de regressão linear múltiplo para sua detecção, no início do florescimento (R1). Para isto, foram definidos nove pontos de coleta em cinco reboleiras, totalizando 45 pontos. As coletas foram feitas em um padrão específico de distâncias, de forma a ter amostras com tipos variados de populações de nematoides. Foram realizados voos com o Phantom 4 Advanced, Sequoia e Sentera sobre cada uma das reboleiras. O comprimento de onda do vermelho melhor explicou a variabilidade dos dados para H. glycines no solo e na raiz, bem como dos juvenis de segundo estádio no solo. Para P. brachyurus, a RedEdge da Sentera foi a que explicou melhor a variabilidade dos dados para nematoide na raiz e a NIR da Sequoia a que melhor explicou para juvenis no solo. Quando se utilizou um modelo matemático para a detecção do P. brachyurus e H. glycines, percebe-se uma grande melhora no R² e p-valor com relação às regressões lineares simples. No início da floração (R1), a refletância espectral da soja foi associada ao número de H. glycines e P. brachyurus no solo e nas raízes, usando sensores de baixo custo e multiespectrais.

Evaluation of the nutritional status of corn by vegetation indices via aerial images / Avaliação do estado nutricional do milho por índices de vegetação de imagens aéreas

ABSTRACT: The objective of this study is to determine the vegetation indices (IV) as a means of identifying the nutritional status of corn, with respect to the soil nitrogen and potassium, using the aerial images received through an RGB camera loaded on an unmanned aerial vehicle. The images were obtained for an experiment of the nitrogen levels (0, 60, 120 and 180 kg ha-1) and potassium levels (0, 50, 100 and 150 kg ha-1), in the random block design, with a factorial scheme of 4 x 4, having three repetitions. Ten leaves were plucked per plot during the flowering phase to assess the total N (NF) and K+ leaf contents. The Pearson's correlation analysis, as well as the analyses of variance and regression between the IV and the concentrations of N and K2O. NF, K+ and the grain yield, responded only to the soil N levels. A significant correlation was observed for the indices of Red Index, Normalized Difference Index and Visible Atmospherically Resistant Index with the NF, which endorses them as favorable in identifying the nutritional standing of corn, with respect to the N level. Not even a single one of the indices evaluated could detect the nutritional ranking of corn in the context of the potassium level.

RESUMO: O estudo teve como objetivo avaliar índices de vegetação (IV) para detecção do status nutricional do milho com relação ao nitrogênio e potássio por meio de imagens aéreas obtidas por câmera RGB embarcada em veículo aéreo não tripulado. As imagens foram adquiridas em ensaio de níveis de nitrogênio (0, 60, 120 e 180 kg ha-1) e potássio (0, 50, 100 e 150 kg ha-1), em blocos ao acaso, fatorial 4 x 4, com três repetições. Coletaram-se dez folhas por parcela na fase de florescimento para avaliação do teor foliar de N total (NF) e K+. Efetuou-se análise de correlação de Pearson, análise de variância e de regressão entre os IV e os níveis de N e de K2O. NF, K+ e a produtividade de grãos responderam apenas aos níveis de N no solo. Houve correlação significativa para os índices Excess Red Index, Normalized Difference Index e Visible Atmospherically Resistant Index com o NF, que os credencia como promissores na detecção do status nutricional do milho em relação ao N. Nenhum dos índices avaliados foi capaz de detectar o status nutricional do milho com relação ao potássio.

Research progress on identification and monitoring of the appropriate habitat of Himalayan marmot / 中华地方病学杂志

Qinghai-Tibet Plateau is one of the major plague foci in China. Himalayan marmot (hereinafter referred to as the marmot) is the main host animals of the foci. Effective identification and monitoring of its habitat in Qinghai-Tibet Plateau is important for active prevention and effective control of the marmot plague epidemic. Spatial information technology is an important means for rapid identification and effective monitoring of marmot. This review analyzed the factors that affect the distribution patterns of marmot habitat, including topographical features, soil properties, vegetation types and cover, climatic conditions and human activities, and reviewed and summarized the progress and shortcomings of relevant research on identifying and monitoring marmot habitat based on spatial information technologies such as remote sensing and geographic information system. Meanwhile, combined with the emerging low-altitude remote sensing, crowdsource data acquisition, machine learning and other big data mining methods, from the perspective of multi-source data, integration of emerging technologies and comprehensive evaluation system, the new ideas of using spatial information technology to quickly identify and effectively monitor the habitat of marmot, was discussed. It is expected to provide technical support for prediction and effective control of marmot plague in Qinghai-Tibet Plateau under the background of changing global climate and increasing human activities.

Application of remote sensing technology in medicinal plant resources / 中国中药杂志

The sustainable use of medicinal plants is the foundation of the inheritance of traditional Chinese medicine(TCM) and the acquisition of information on medicinal plants is the basis for the development of TCM. The traditional methods of investigating medicinal plant resources are disadvantageous in strong subjectivity and poor timeliness, making it difficult to real-time monitor medicinal plant resources. In recent years, remote sensing technology has become an important means of obtaining information on medicinal plants. The application of this technology has made up for the shortcomings of traditional methods. The open-access remote sensing data with medium spatial resolution satellites provide an opportunity for extracting information on medicinal plant resources. This study firstly introduced the principles of remote sensing technology, summarized the satellites and the parameters commonly used in the field of medicinal plant resources, and compared the survey methods of remote sensing technology with traditional methods. Secondly, it reviewed the applications of remote sensing technology in the extraction of information on the cultivation of medicinal plants and the common methods for extracting the planting structure information of medicinal plants based on remote sensing technology. Thirdly, the applications of remote sensing technology in the investigation and monitoring of medicinal plants were further analyzed with the research objects divided into wild and cultivated medicinal plants according to the characteristics of the habitats. Finally, it pointed out the key unsolved technical problems in the remote sensing monitoring of medicinal plant resources, and proposed solutions for the intelligent information processing of medicinal plants based on remote sensing big data, which is expected to provide references for the development of remote sensing technology in derivative application in medicinal plant resources.

Contrastive analysis of extraction of Polygonatum cyrtonema planting area based on data of "Resource 3" / 中国中药杂志

Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.

Suitable planting area of Poria cocos in Jinzhai county of Dabie Mountains region / 中国中药杂志

Dabie Mountain in Anhui province is a genuine producing area of Poria cocos, commonly known as Anling. Jinzhai county in Anhui province is a traditional producing area of P. cocos, and it is also a key county for poverty alleviation in Dabie Mountains. Poverty alleviation of traditional Chinese medicine producing area is an important measure to implement the major strategic deployment of the central government. The planting of P. cocos is helpful to promote the development of traditional Chinese medicine industry in Dabie Mountains and help poverty alleviation. P. cocos is a saprophytic fungus with special demands on soil and ecological environment, and its planting appears a scattered and irregular distribution. Traditional investigation methods are time-consuming and laborious, and the results are greatly influenced by subjective factors. In order to obtain the suitable planting area of P. cocos in Jinzhai county, according to the field survey, the research team has explored the regional, biological characteristics and cultivation methods of P. cocos in the county, and obtained the altitude distribution area suitable for the growth of P. cocos. Then, the MaxEnt niche model was used to analyze the relationship between ecological factors and distribution areas, and the potential distribution zoning of P. cocos in Jinzhai county was studied. Combined with the characteristics of P. cocos planting pattern, taking ZY-3 remote sensing image as the data source, the maximum likelihood method was used to extract the area that could be used for P. cocos cultivation in Jinzhai county, and the reason why artificial planting P. cocos was mainly distributed in the west of Jinzhai county was analyzed. The suitable regional classification of P. cocos in Jinzhai county was obtained by superposition of suitable altitude distribution area, MaxEnt analysis and area extracted from remote sensing image, which provided data support for the planting planning of P. cocos in Jinzhai county.

Relationship between vegetation indices and agronomic performance of maize varieties under different nitrogen rates / Relação entre índices de vegetação e desempenho agronômico de variedades de milho sob diferentes doses de nitrogênio

Precision agriculture is a set of techniques that assist the monitoring of the agronomic performance of the maize crop by using vegetation indices. This study aimed to verify the relationship between vegetation indices, plant height, leaf N content, and grain yield of three maize varieties, grown under high and low N as topdressing. The experiment was carried out at the Fundação de Apoio à Pesquisa Agropecuária de Chapadão (Fundação Chapadão), located in the municipality of Chapadão do Sul, during the 2017/2018 season. The experiment consisted of a randomized block design with four replications, arranged in a 3x2 split-plot scheme. The first factor (plots) corresponded to three open-pollinated maize varieties (BRS 4103, BRS Gorotuba, and SCS 154), and the second factor (subplots) consisted of two N rates applied as topdressing (80 and 160 kg- 1). All the evaluated variables showed varieties x N interaction. Vegetation indices in maize varieties were influenced by the N rate applied as topdressing. Normalized Difference Vegetation Index (NDVI) and Soil-adjusted Vegetation Index (SAVI) showed a higher correlation with plant height. At the same time, Normalized Difference Red Edge (NDRE) had a stronger association with leaf N content.

A agricultura de precisão é um conjunto de técnicas que auxiliam no monitoramento do desempenho agronômico da cultura do milho utilizando índices de vegetação. Este trabalho teve como objetivo verificar a relação entre índices de vegetação, altura de planta, teor de N foliar e rendimento de grãos de três variedades de milho, cultivadas sob alto e baixo N, em cobertura. O experimento foi realizado na Fundação de Apoio à Pesquisa Agropecuária de Chapadão, localizada no município de Chapadão do Sul, na safra 2017/2018. O experimento consistiu de um delineamento de blocos casualizados com quatro repetições, dispostos em esquema de parcelas subdivididas 3x2. O primeiro fator (parcelas) correspondeu a três variedades de milho de polinização aberta (BRS 4103, BRS Gorotuba e SCS 154), e o segundo fator (subparcelas) consistiu de duas doses de N aplicadas como cobertura (80 e 160 kg-1). Todas as variáveis avaliadas apresentaram interação variedades x N. Os índices de vegetação nas variedades de milho foram influenciados pela dose de N aplicada como cobertura. Os índices NDVI e SAVI mostraram uma maior correlação com a altura da planta, enquanto o NDRE apresentou uma associação mais forte com o conteúdo de N foliar.

Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome

Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an evaluation based on agreement matrices. The overall agreement between the projects was 87.4% (TerraClass x MapBiomas 2) and 92.0% (TerraClass x MapBiomas 3). We analyzed methodological differences to explain the disagreements in class identification. We conclude that using these maps together without a properly adapted legend is not recommended for the analysis of land use and land cover change. Depending on the application, one mapping system may be more suitable than the other. (AU)

Time-series modelling of dengue incidence in the Mekong Delta region of Viet Nam using remote sensing data

Objective@#This study aims to enhance the capacity of dengue prediction by investigating the relationship of dengue incidence with climate and environmental factors in the Mekong Delta region (MDR) of Viet Nam by using remote sensing data.@*Methods@#To produce monthly data sets for each province, we extracted and aggregated precipitation data from the Global Satellite Mapping of Precipitation project and land surface temperatures and normalized difference vegetation indexes from the Moderate Resolution Imaging Spectroradiometer satellite observations. Monthly data sets from 2000 to 2016 were used to construct autoregressive integrated moving average (ARIMA) models to predict dengue incidence for 12 provinces across the study region. @*Results@#The final models were able to predict dengue incidence from January to December 2016 that concurred with the observation that dengue epidemics occur mostly in rainy seasons. As a result, the obtained model presents a good fit at a regional level with the correlation value of 0.65 between predicted and reported dengue cases; nevertheless, its performance declines at the subregional scale. @*Conclusion@#We demonstrated the use of remote sensing data in time-series to develop a model of dengue incidence in the MDR of Viet Nam. Results indicated that this approach could be an effective method to predict regional dengue incidence and its trends.