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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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| Moraes,André Geraldo de Lima; Francelino,Marcio Rocha; Carvalho Junior,Waldir de; Pereira,Marcos Gervasio; Thomazini,André; Schaefer,Carlos Ernesto Gonçalves Reynaud. |
| ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Peninsula, Maritime Antarctica. We considered the hypothesis that covariates normally used for environmental correlation elsewhere can be adequately employed in periglacial areas in Maritime Antarctica. For that purpose, 138 soil samples from 47 soil sites were collected for analysis of soil chemical and physical properties. We tested the correlation between soil properties (clay, potassium, sand, organic... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Kriging; Geostatistical methods; Soil variability. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100316 |
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| Bernini,Thiago de Andrade; Pereira,Marcos Gervasio; Fontana,Ademir; Anjos,Lúcia Helena Cunha dos; Calderano,Sebastião Barreiros; Wadt,Paulo Guilherme Salvador; Moraes,André Geraldo de Lima; Santos,Lauana Lopes dos. |
| Os solos do Estado do Acre na maioria são formados sobre material de origem com grande influência da orogênese Andina, com elevados teores de Ca2+, Mg2+ e Al3+ concomitantemente, associado às combinações diferenciadas dos valores da CTC, V e m. O objetivo deste trabalho foi caracterizar e classificar os solos de uma topossequência sobre material sedimentar da Formação Solimões, no município de Feijó, Acre. Foram abertas trincheiras em três pontos de uma topossequência: terço superior (P1), terço médio (P2) e terço inferior (P3). Os solos foram analisados quanto a morfologia, granulometria (areia, silte e argila), complexo sortivo (Ca2+, Mg2+, Na+, K+ e Al3+), acidez potencial (H+Al), P assimilável, pH (água e KCl), superfície específica, ataque sulfúrico... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Amazônia Ocidental; Pedogênese; Classificação; SiBCS. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052013000100010 |
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