TAILIEUCHUNG - Tích hợp hệ thống thông tin địa lý và viễn thám để đánh giá xói mòn đất theo phương trình mất đất phổ dụng: Trường hợp nghiên cứu tại tỉnh Sơn La
Sơn La là tỉnh thuộc vùng núi phía Bắc Việt Nam với điều kiện địa hình phức tạp, phần lớn diện tích đất có độ dốc lớn, địa hình hiểm trở và chia cắt, xói mòn đất là nguyên nhân chính gây thoái hóa đất của tỉnh. | VNU Journal of Science: Earth and Environmental Sciences, Vol. 35, No. 1 (2019) 10-20 Review article Integrated Geographical Information System (GIS) and Remote Sensing for Soil Erosion Assessment by Using Universal Soil Loss Equation (USLE): Case Study in Son La Province Phan Ba Hoc1,2, Nguyen Quoc Viet1, Pham Anh Hung1,*, Le Xuan Thai3, Le Sy Chinh4, Nguyen Xuan Hai5 1 Faculty of Environmetal Sciences,VNU University of Science, 334 Nguyen Trai, Hanoi, Vietnam 2 Centre for Planning and Rural Development , National Institution for Agricultural Project and Planning 3 Faculty of Civil Engineering, University of Transport Technology 4 HongDuc University, 565 Quang Trung, Thanh Hoa, Vietnam 4 Dept. of Environmental Impact Assessment, General Department of Environment, MONRE Received 12 December 2018 Revised 19 December 2018; Accepted 13 March 2019 Abstract: Son La is a mountainous province in the North of Vietnam with complicated terrain, high slope, rugged and fragmentation terrain. Mountainous land occupies 92% of the natural area, in which land with sloping over 15 degree occupies 67% of natural land area, erosion is the main cause of soil degradation. The result show that, the average soil loss due to erosion in Son La province is tons/ha/year. On the level of erosion, soil erosion is very low ( 50 tons/ha/year) accounts for a large proportion with the area and the percentage respectively is 51, ha, occupying of the natural area and 45, ha accounting for of the natural area. Then there is low level (1-5 tons/ha/year) with an area of 19, hectares, accounting for of natural area. Moderate (5-10 tons/ha/year) and high (10-50 tons/ha/year) levels account for a small proportion of 7, hectares, accounting for and 8, hectares, accounting for , respectively, of the natural area. The combination of remote sensing, geographic information system and RUSLE with available data can calculate soil erosion,
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