Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions

• Published in: International Soil and Water Conservation Research Vol. 7; no. 4; pp. 325 - 334
• Main Authors: Almagro, André, Thomé, Thais Caregnatto, Colman, Carina Barbosa, Pereira, Rodrigo Bahia, Marcato Junior, José, Rodrigues, Dulce Buchala Bicca, Oliveira, Paulo Tarso Sanches
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2019; KeAi Communications Co., Ltd
• Subjects: basins; Brazil; Land use/land cover; Landsat 8; monitoring; NDVI; normalized difference vegetation index; prediction; rain; remote sensing; Revised Universal Soil Loss Equation; RUSLE; sediment yield; soil; Soil erosion; tropics; water conservation; Brazil; RUSLE; Soil erosion; Landsat 8; NDVI; Land use/land cover

The Revised Universal Soil Loss Equation (RUSLE)'s cover and management factor (C-factor) is one of the most difficult factors to obtain, mainly because long-term monitoring soil erosion plots under natural rainfall are needed. Therefore, remote sensing approaches have been used as an alternati...