Evaluation of soil erosion using imagery SPOT5 satellite in Chehel chi catchment of Golestan Province

Document Type : Complete scientific research article

Authors

1 Gorgan university of agricaltural sciences and natural resources- college of Forest sciences

2 Gorgan university of agricultural sciences and natural resources- college of water and soil sciences

3 Gorgan university of agricultural sciences and natural resources- college of Forest sciences

Abstract

Background and objectives: Soil erosion is a natural processing that occurs on the earth continues and it is considered as one of the most important environment problems in world. It has been presented different methods to estimate erosion rate including simple until complex methods. Revised Universal Soil Loss Equation (RUSLE) is an experimental relation and it has a strong physical base compared the rest of experimental methods. This model that is revised of the USLE equation, include different erosion forms and some parameters such land cover and rainfall in the daily and monthly scale effect on the erosion.
Materials and methods: Current research was done of forest cover and soil erosion relation between density and canopy of forest cover and soil erosion using RUSLE and SPOT5 imagery satellite at the Chelchai watershed in Minoodasht city. For this purpose, provided NDVI map from SPOT5 imagery satellite, after determination of erosion in the place of samples and finding relation between cover and erosion with SPSS software. Then soil erosion estimated with NDVI map in GIS environment. Soil erosion estimation was classified in 5 class including very low, low, moderate, high and sever.Materials and methods: Current research was done of forest cover and soil erosion relation between density and canopy of forest cover and soil erosion using RUSLE and SPOT5 imagery satellite at the Chelchai watershed in Minoodasht city. For this purpose, provided NDVI map from SPOT5 imagery satellite, after determination of erosion in the place of samples and finding relation between cover and erosion with SPSS software. Then soil erosion estimated with NDVI map in GIS environment. Soil erosion estimation was classified in 5 class including very low, low, moderate, high and sever.Materials and methods: Current research was done of forest cover and soil erosion relation between density and canopy of forest cover and soil erosion using RUSLE and SPOT5 imagery satellite at the Chelchai watershed in Minoodasht city. For this purpose, provided NDVI map from SPOT5 imagery satellite, after determination of erosion in the place of samples and finding relation between cover and erosion with SPSS software. Then soil erosion estimated with NDVI map in GIS environment. Soil erosion estimation was classified in 5 class including very low, low, moderate, high and sever.
Results: Results indicated that dangerous condition of erosion moderate to severe in the low plant cover(less 5%), is average from‌ 14.11 to 34.683 ton/ha/year. Meanwhile agricultural areas with 28.33 percentage of total area, include more than 64.99 percentage of erosion, need to necessary designs.
Conclusion: According to results, the dense and semidence forest area, comprise very low erosion about 0.66 to 1.91 ton/ha/year, and showed that dense land cover is very efficient in soil conservation.

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Main Subjects

References

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Journal of Wood and Forest Science and Technology
Volume 24, Issue 2
September 2017
Pages 73-86

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