Classification of objects and LUCC dynamic monitoring in mining area: A case study of Hailiutu watershed

doi:10.6046/gtzyyg.2020.03.30

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Abstract

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.

Keywords remote sensing transfer matrix mining disturbance land use

TP79

Corresponding Authors: ZHANG Shengwei E-mail: Gao19950723@126.com;zsw@imau.edu.cn

Issue Date: 09 October 2020

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	Wenlong GAO
	Tengfei SU
	Shengwei ZHANG
	Yinlong DU
	Meng LUO

Cite this article:

Wenlong GAO,Tengfei SU,Shengwei ZHANG, et al. Classification of objects and LUCC dynamic monitoring in mining area: A case study of Hailiutu watershed[J]. Remote Sensing for Land & Resources, 2020, 32(3): 232-239.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.03.30 OR https://www.gtzyyg.com/EN/Y2020/V32/I3/232

Fig.1 Geographic location of the study area

Tab.1 Image information

Fig.2 Remote sensing image interpretation signs of Hailiutu watershed

Tab.2 Remote sensing image interpretation instructions

Fig.3 Flow chart of land use/cover change dynamic monitoring

Fig.4 Accuracy comparison of MLE,SVM and RF

Fig.5 Land classification maps

Tab.3 Area and proportion of different land use types in Hailiutu watershed in 4 stages

Tab.4 Transfer matrix of land use/cover change in Hailiutu Watershed from 2006 to 2018(km²)

Fig.6-1 Time series changes of coal mine features in Balasu,Yinpanhao and Dahaize

Fig.6-2 Time series changes of coal mine features in Balasu,Yinpanhao and Dahaize

Fig.7 Statistics of each mineral surface area

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