Improving RUSLE predictions through UAV-based soil cover management factor (C) assessments: A novel approach for enhanced erosion analysis in sugarcane fields

Author:

Felix Filipe C.,Cândido Bernardo M.,Moraes Jener F.L. de

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference84 articles.

1. Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions;Almagro;Int. Soil Water Conserv. Res.,2019

2. Evaluating Soil Carbon as a Proxy for Erosion Risk in the Spatio-Temporal Complex Hydropower Catchment in Upper Pangani;Amasi;Northern Tanzania. Earth,2021

3. Quantifying watershed surface depression storage: Determination and application in a hydrologic model;Amoah;Hydrol. Process.,2013

4. An instance-based learning approach for thresholding in crop images under different outdoor conditions;Arroyo;Comput. Electron. Agric.,2016

5. A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing with uncertainty in models and the observational data;Batista;Environ. Model. Softw.,2021

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