Predicting soil erosion using Rusle and NDVI time series from TM Landsat 5
نویسندگان
چکیده
منابع مشابه
Predicting Soil Erosion With RUSLE in Mediterranean
Accurate assessment of soil loss is essential for sustainable agricultural production, 11 management and conservation planning, especially in productive rain-fed agro-ecosystems 12 and protected areas. The European Union considers soil as a non-renewable resource and 13 identifies that soil degradation has strong impacts on soil and water resources. In this work the 14 Revised Universal Soil Lo...
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Birte Schoettker, Peter Scarth, Stuart Phinn, Michael Schmidt, Robert Denham Centre for Remote Sensing and Spatial Information Science, The School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane QLD 4072, Australia. Corresponding author: [email protected] The Department of Environment and Resource Management, 80 Meiers Road, Indooroopilly, Queens...
متن کاملModeling Soil Erosion Using Rusle and Gis Tools
Soil erosion involves detachment and transport of soil particles from top soil layers, degrading soil quality and reducing the productivity of affected lands. Soil eroded from the upland catchment causes depletion of fertile agricultural land and the resulting sediment deposited at the river networks creates river morphological change and reservoir sedimentation problems. However, land managers...
متن کاملSoil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands
Clay content (fraction < 2 μm) is one of the most important soil properties. It controls soil hydraulic properties like wilting point, field capacity and saturated hydraulic conductivity, which in turn control the various fluxes of water in the unsaturated zone. In our study site, the Kairouan plain in central Tunisia, existing soil maps are neither exhaustive nor sufficiently precise for water...
متن کاملPredicting soil erosion in conservation tillage cotton production systems using the revised universal soil loss equation (RUSLE)
Despite being one of the most pro®table crops for the southeastern USA, cotton (Gossypium hirsutum L.) is considered to create a greater soil erosion hazard than other annual crops such as corn (Zea mays L.) and soybeans (Glycine max (L.) Merr.). Reduced tillage systems and cover cropping can reduce soil erosion and leaching of nutrients into ground water. The objectives of this study, which wa...
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ژورنال
عنوان ژورنال: Pesquisa Agropecuária Brasileira
سال: 2014
ISSN: 0100-204X
DOI: 10.1590/s0100-204x2014000300008