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| Moraes,André Geraldo de Lima; Carvalho,Daniel Fonseca de; Antunes,Mauro Antonio Homem; Ceddia,Marcos Bacis. |
| Abstract: The objective of this work was to evaluate the relationship between different remote sensing data, derived from satellite images, and interrill soil losses obtained in the field by using a portable rainfall simulator. The study was carried out in an area of a hydrographic basin, located in Médio Paraíba do Sul, in the state of Rio de Janeiro - one of the regions most affected by water erosion in Brazil. Evaluations were performed for different vegetation indices (NDVI, Savi, EVI, and EVI2) and fraction images (FI), derived from linear spectral mixture analysis (LSMA), obtained from RapidEye, Sentinel2A, and Landsat 8 OLI images. Vegetation indices are more adequate to predict soil loss than FI, highlighting EVI2, whose exponential model showed R2... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Linear spectral mixing analysis; Rainfall simulator; Vegetation indices. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000300332 |
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| Costa,Elias Mendes; Antunes,Mauro Antonio Homem; Debiasi,Paula; Anjos,Lúcia Helena Cunha dos. |
| Resumo O objetivo deste trabalho foi analisar características de imagem do satélite RapidEye, bem como avaliar sua qualidade, quanto à ortorretificação, e sua aplicação no mapeamento de uso do solo, em ambiente de Mar de Morros. As imagens passaram por correção atmosférica, seguida por avaliação dos seguintes aspectos: resposta espectral a diferentes alvos, na imagem sem correção e na corrigida; acurácia da imagem ortorretificada; e exatidão da classificação supervisionada. A correção atmosférica permitiu melhor avaliação da resposta espectral dos alvos. A avaliação da ortorretificação da imagem, quanto ao Padrão de Exatidão Cartográfico, enquadrou-se na classe C da escala 1:20.000. A classificação supervisionada quantificou áreas e percentagem de cada... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Acurácia de imagem; Conservação dos solos; Correções radiométricas; Sensoriamento remoto. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901417 |
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| Carvalho,Daniel Fonseca de; Durigon,Valdemir Lucio; Antunes,Mauro Antonio Homem; Almeida,Wilk Sampaio de; Oliveira,Paulo Tarso Sanches de. |
| The objective of this work was to evaluate the seasonal variation of soil cover and rainfall erosivity, and their influences on the revised universal soil loss equation (Rusle), in order to estimate watershed soil losses in a temporal scale. Twenty-two TM Landsat 5 images from 1986 to 2009 were used to estimate soil use and management factor (C factor). A corresponding rainfall erosivity factor (R factor) was considered for each image, and the other factors were obtained using the standard Rusle method. Estimated soil losses were grouped into classes and ranged from 0.13 Mg ha-1 on May 24, 2009 (dry season) to 62.0 Mg ha-1 on March 11, 2007 (rainy season). In these dates, maximum losses in the watershed were 2.2 and 781.5 Mg ha-1 , respectively. Mean... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: C factor; Rainfall erosivity; Remote sensing; Soil loss; Vegetation index. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000300215 |
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| Hott,Marcos Cicarini; Carvalho,Luis Marcelo Tavares de; Antunes,Mauro Antonio Homem; Santos,Polyanne Aguiar dos; Arantes,Tássia Borges; Resende,João Cesar de; Rocha,Wadson Sebastião Duarte da. |
| Abstract: The objective of this work was to analyze the development of grasslands in Zona da Mata, in the state of Minas Gerais, Brazil, between 2000 and 2013, using a parameter based on the growth index of the normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (Modis) data series. Based on temporal NDVI profiles, which were used as indicators of edaphoclimatic conditions, the growth index (GI) was estimated for 16-day periods throughout the spring season of 2012 to early 2013, being compared with the average GI from 2000 to 2011, used as the reference period. Currently, the grassland areas in Zona da Mata occupy approximately 1.2 million hectares. According to the used methods, 177,322 ha (14.61%) of these... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Growth index; Pastures; Remote sensing; Time series; Zona da Mata.. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000700858 |
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