Classification of objects and LUCC dynamic monitoring in mining area: A case study of Hailiutu watershed
GAO Wenlong1(), SU Tengfei1,2,3, ZHANG Shengwei1,2,3(), DU Yinlong1, LUO Meng1
1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China 2. Key Laboratory of Protection and Utilization of Water Resources of Inner Mongolia Atuonomous Region,Hohhot 010018, China 3. Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, Hohhot 010018, China
To tackle the problem whether mining will cause great changes in the types of surface features and environmental deterioration, the authors used Landsat (TM,OLI) images to classify the land in 2006, 2010, 2014 and 2018 in Hailiutu watershed, and revealed the temporal and spatial characteristics of land use changes in three stages (one stage every four years) from 2006 to 2018. Screening and comparing the classification methods MLE, SVM, RF and applying the statistical methods of features change and transfer matrix show that the accuracy of land classification map obtained by RF is better than that of the other classification methods, and the quantitative interpretation of land classification analysis was carried out for many years. In the three stages, the transformation of sandy land and grassland/shrub was frequent, the total area of sandy land decreased by 16.83%, the grassland/shrub increased by 12.68%, and the construction land increased steadily year by year. By 2018, the development of the mining area had not caused great damage to the ecological environment, and the change of the geological structure of the mine was consistent with the trend of the geological structure of Hailiutu basin.
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GAO Wenlong, SU Tengfei, ZHANG Shengwei, DU Yinlong, LUO Meng. Classification of objects and LUCC dynamic monitoring in mining area: A case study of Hailiutu watershed. Remote Sensing for Land & Resources, 2020, 32(3): 232-239.
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2020, Vol. 32 
), 苏腾飞1,2,3, 张圣微1,2,3(
