Espectrorradiometria de solos e comparação com sensores orbitais

Abstract

ResumoEste trabalho teve por objetivo caracterizar e comparar o comportamento espectral de diferentes classes de solo obtidos de sensores orbitais e terrestres. Para tanto, em Rafard (SP), uma área de 184 ha foi estaqueada em grade regular de 100 x 100 m e amostras de solo foram coletadas e seus pontos georreferenciados. Posteriormente, foram obtidas as curvas espectrais das amostras com o sensor IRIS e os pontos amostrais, sobrepostos às imagens Landsat e ASTER da área para coleta dos dados espectrais orbitais. Na sequência, as amostras de terra foram divididas por classe de solo e geradas curvas espectrais médias, por classe de solo, para todos os sensores. Verificou-se que essas classes foram diferenciadas pela textura, matéria orgânica e pelo ferro total para todos os sensores estudados, ressaltando-se que os sensores orbitais, apesar da menor resolução espectral, mantiveram as características das curvas de solo quanto à intensidade de reflectância.Palavras-chave: sensoriamento remoto, pedologia, atributos do solo. Spectroradiometry of soil and comparison with orbital sensors AbstractThe aim of this study was to characterize and compare the spectral behavior of different soil classes obtained by orbital and terrestrial sensors. For this, an area of 184 ha in Rafard (SP) Brazil was staked on a regular grid of 100x100 m and soil samples were collected and georeferenced. After that, soil spectral curves were obtained with IRIS sensor and the sample points were overlaid at Landsat and ASTER images for spectral data collection. The soil samples were classified and mean soil curves for all sensors were generated by soil classes. The soil classes were differentiated by texture, organic matter and total iron for all sensors studied, the orbital sensors despite the lower spectral resolution, maintained the characteristics of the soil and the curves of reflectance intensity.

Pedological mapping through integration of digital terrain models spectral sensing and photopedology

“…This, however, does not interfere in soil classification but in its discrimination. Interpretation of surface curves allows initial inference of probable soil characteristics, agreeing with Genú and Demattê (2012). Data on soil surface may be related to altitude, relief and affect soil classes.…”

Characterisation of the Spectral-Temporal Pattern of the Crambe Crop Using Hyperspectral Sensors

“…This fact was related to the large soil area still exposed during data collection; in these phenological stages, the soil was only partially covered by the crambe canopy. The soil of the experimental area was rich in iron oxide, causing the red tonality, which may have contributed to this behaviour (Sousa Jr., Demattê, & Genú, 2008;Genú & Demattê, 2012).…”

Evaluación De Textura Del Suelo Con Espectroscopía De Infrarrojo Cercano en Un Oxisol De Colombia

“…Para esta investigación, en esta región del espectro se manifiesta la caolinita. Según Genú & Demattê (2012), la caolinita se manifiesta en los picos ubicados a 1900 y 2200 nm para diferentes clases de suelo. Para los suelos de Carimagua, este es el mineral predominante en la fracción arcilla.…”