scholarly journals Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using RUSLE, remote sensing and GIS

2004 ◽  
Vol 15 (5) ◽  
pp. 499-512 ◽  
Author(s):  
D. Lu ◽  
G. Li ◽  
G. S. Valladares ◽  
M. Batistella
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Brazilian Amazonia ◽  
Soil Erosion Risk

Integration of Remote Sensing and GIS for Evaluating Soil Erosion Risk in Northwestern Zhejiang, China

2012 ◽  
Vol 78 (9) ◽  
pp. 935-946 ◽  
Author(s):  
Jianqin Huang ◽  
Dengsheng Lu ◽  
Jin Li ◽  
Jiasen Wu ◽  
Shiquan Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk

EVALUATION OF SOIL EROSION RISK USING REMOTE SENSING AND GIS DATA (A CASE STUDY: LANG CHANH DISTRICT, THANH HOA PROVINCE, VIETNAM)

2015 ◽  
Vol 3 (54) ◽  
pp. 57-64 ◽  
Author(s):  
Le Hung Trinh ◽  
◽  
Danh Tuyen Vu ◽  
Nhu Hiep Do ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Gis Data

Assessment of Post-fire Soil Erosion Risk in Fire-Affected Watersheds Using Remote Sensing and GIS

2009 ◽  
Vol 46 (4) ◽  
pp. 388-410 ◽  
Author(s):  
G. Mallinis ◽  
F. Maris ◽  
I. Kalinderis ◽  
N. Koutsias
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
In Fire

scholarly journals Mapping Soil Erosion Risk: Using Remote Sensing and Gis

2017 ◽  
Vol 05 (03) ◽  
pp. 01-05
Author(s):  
Balaji Waghmare ◽  
Madan Suryawanshi
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk

scholarly journals Terrain Characterization and Soil Erosion Risk Assessment for Watershed Prioritization Using Remote Sensing and GIS (A case study of Nawagaon Maskara Rao Watershed, Saharanpur, India)

2009 ◽  
Vol 23 (1) ◽  
pp. 86
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Land Use ◽  
Soil Erosion ◽  
Soil Conservation ◽  
Soil Loss ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Conservation Measures

Soil erosion is crucial problem in India where more than 70% of land in degraded. This study is to establish conservation priorities of the sub watersheds across the entire terrain, and suggest suitable conservation measures. Soil conservation practices are not only from erosion data both qualitative SES (Soil Erosion Status) model and quantitative MMF (Morgan, Morgan and Finney) model erosion, but we have to consider LCC (Land Capability Classification) and LULC (Land Use Land Cover). Study demonstrated the use of RS (Remote Sensing) and GIS (Geographic Information System) in soil erosion risk assessment by deriving soil and vegetation parameters in the erosion models. Sub-watersheds were prioritized based on average soil loss and the area falls under various erosion risk classes for conservation planning. The annual rate of soil loss based on MMF model was classified into five soil erosion risk classes for soil conservation measures. From 11 sub watersheds, for the first priority of the watershed is catchment with the small area and the steep slope. Recommendation for steep areas (classes VI, VII, and VIII) land use allocation should be made to maintain forest functions.

scholarly journals Estimation and Assessment of Soil Erosion Risk of Nun Watershed Using Remote Sensing and GIS

2019 ◽  
pp. 1-14
Author(s):  
V. B. Kale
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Soil Erosion ◽  
Crop Productivity ◽  
Remote Sensing And Gis ◽  
Hilly Terrain ◽  
Major Objective ◽  
Degraded Soil ◽  
Erosion Risk ◽  
Soil Erosion Risk

This study aims to investigate the soil erosion from selected watershed from Dehradun area having hilly terrain and human’s development activities The remote sensing based model was decided to perform the estimations and assessment of soil eroded from watershed. The Nun river watershed was selected for study. From the estimated quantity of soil eroded we can predict the risk due degraded soil in terms of decreasing crop productivity. The present study assists to decide the optimum land use for specific purpose at the Nun watershed in Deharadun, Uttarakhand. The major objective of the study is to assess the soil erosion risk in the study area.

scholarly journals Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jarbou A. Bahrawi ◽  
Mohamed Elhag ◽  
Amal Y. Aldhebiani ◽  
Hanaa K. Galal ◽  
Ahmad K. Hegazy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Saudi Arabia ◽  
Soil Erosion ◽  
Decision Support Tool ◽  
Data Availability ◽  
Productive Capacity ◽  
Support Tool ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Key Aspects

Soil erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia. Soil erosion leads to significant on- and off-site impacts such as significant decrease in the productive capacity of the land and sedimentation. The key aspects influencing the quantity of soil erosion mainly rely on the vegetation cover, topography, soil type, and climate. This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam. Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the assessment of the data, applying the Revised Universal Soil Loss Equation (RUSLE) for the calculation of the risk of erosion. Thirty-four soil samples were randomly selected for the calculation of the erodibility factor, based on calculating theK-factor values derived from soil property surfaces after interpolating soil sampling points. Soil erosion risk map was reclassified into five erosion risk classes and 19.3% of the Wadi Yalamlam is under very severe risk (37,740 ha). GIS and RS proved to be powerful instruments for mapping soil erosion risk, providing sufficient tools for the analytical part of this research. The mapping results certified the role of RUSLE as a decision support tool.

Assessment and Monitoring of Soil Erosion Risk and Land Degradation in Arable Land Combining Remote Sensing Methodologies and RUSLE Factors

2021 ◽  
pp. 704-716
Author(s):  
Biagio Tucci ◽  
Gabriele Nolè ◽  
Antonio Lanorte ◽  
Valentina Santarsiero ◽  
Giuseppe Cillis ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Land Degradation ◽  
Arable Land ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Assessment And Monitoring
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