Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions-Reference-Cited by-同舟云学术

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

Published:2019-12 Issue:4 Volume:7 Page:325-334
ISSN:2095-6339
Container-title:International Soil and Water Conservation Research
language:en
Short-container-title:International Soil and Water Conservation Research

Author:

Almagro André,Thomé Thais Caregnatto,Colman Carina Barbosa,Pereira Rodrigo Bahia,Marcato Junior José,Rodrigues Dulce Buchala Bicca,Oliveira Paulo Tarso Sanches

Funder

Ministry of Science, Technology, Innovation and Communication-MCTIC

National Council for Scientific and Technological Development-CNPq

Coordination for the Improvement of Higher Education Personnel - Brasil

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Soil Science,Agronomy and Crop Science,Water Science and Technology

Reference57 articles.

1. The importance of Accounting for atmospheric effects in the application of NDVI and Interpretation of satellite imagery supporting Archaeological research: The case studies of Palaepaphos and Nea Paphos Sites in Cyprus;Agapiou;Remote Sensing,2011

2. Projected climate change impacts in rainfall erosivity over Brazil;Almagro;Scientific Reports,2017

3. Assessment of methods for predicting soil erodibility in soil loss modeling;Anache;Geosciências,2015

4. Object-oriented soil erosion modelling: A possible paradigm shift from potential to actual risk assessments in agricultural environments;Borrelli;Land Degradation & Development,2018

5. Impacts of climate and land use changes on soil erosion in the Upper Paraguay Basin;Colman,2018

Cited by 108 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran;Soil and Tillage Research;2024-12

2. Assessing monthly dynamics of agricultural soil erosion risk in Poland;Geoderma Regional;2024-12

3. Soil and Water Bioengineering in Fire-Prone Lands: Detecting Erosive Areas Using RUSLE and Remote Sensing Methods;Fire;2024-09-13

4. A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector;Ecological Indicators;2024-09

5. Adaptation of the RUSLE2 Model to Assess Soil Losses Due To Water Erosion in the Northern Part of the Great Chinese Plain (Using the Example of Beijing);Moscow University Soil Science Bulletin;2024-09