Remotely sensed mapping and analysis of spatio-temporal patterns of land use change across China in 2015-2020

被引：0

作者：

Kuang W. ^{[1
]}

Zhang S. ^{[2
]}

Du G. ^{[3
]}

Yan C. ^{[4
]}

Wu S. ^{[5
]}

Li R. ^{[6
]}

Lu D. ^{[7
]}

Pan T. ^{[8
]}

Ning J. ^{[3
]}

Guo C. ^{[1
]}

Dong J. ^{[1
]}

Bao Y. ^{[9
]}

Chi W. ^{[10
]}

Dou Y. ^{[1
]}

Hou Y. ^{[1
,11
]}

Yin Z. ^{[8
]}

Chang L. ^{[2
]}

Yang J. ^{[2
]}

Xie J. ^{[4
]}

Qiu J. ^{[6
]}

Zhang H. ^{[3
]}

Zhang Y. ^{[2
,12
]}

Yang S. ^{[1
,11
]}

Sa R. ^{[9
]}

Liu J. ^{[1
]}

机构：

[1] Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing

[2] Northeast Institute of Geography and Agroecology, CAS, Changchun

[3] Northeast Agricultural University, Harbin

[4] Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou

[5] Xinjiang Institute of Ecology and Geography, CAS, Urumqi

[6] Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan

[7] Fujian Normal University, Fuzhou

[8] Qufu Normal University, Rizhao

[9] Inner Mongolia Normal University, Hohhot

[10] Inner Mongolia University of Finance and Economics, Hohhot

[11] University of Chinese Academy of Sciences, Beijing

[12] Jilin University, Changchun

来源：

Dili Xuebao/Acta Geographica Sinica | 2022年 / 77卷 / 05期

关键词：

China; Cloud computation; Cultivated land; Land use; Remote sensing; Spatial pattern; Urban expansion;

D O I：

10.11821/dlxb202205002

中图分类号：

学科分类号：

摘要：

The continuous remote sensing monitoring of land use/cover change at the national scale is of great scientific significance for land spatial planning and blueprint drawing of "Beautiful China" in the new era. Landsat 8 OLI, GF-2 and other satellite remote sensing data were used to develop the data of land use change across China during 2015-2020 and China Land Use/Cover Dataset in 2020 (CLUD 2020) by integrating remote sensing big data and expert knowledge-assisted human-computer interaction interpretation methods. Long time series land use dynamic database at a 30-m resolution in China was established at 5-year interval in the end of 1980s-2020. On this basis, the general trend, regional differences and main characteristics of land use change in 2015-2020 were revealed from national and regional scales. The research indicated that integrating vegetation cover change at a 30-m resolution and land change information generated by remotely sensed big-data cloud calculation into the expert human-computer interaction interpretation can effectively improve the efficiency of mapping and the accuracy of land use change detection. The overall accuracy of CLUD 2020 first-level type mapping reaches 95%. In general, the intensity of territorial development entered a stable state compared with 2010-2015. During the period, the cropland continued to decrease. Nationwide farmland was encroached by urban development and construction, paddy fields in Northeast China continued to decrease, and cultivated land in Xinjiang was reclaimed in the south and abandoned in the north. The built-up land continued to increase, showing a spatial pattern that "the expansion of built-up land changed from the agglomeration of coastal areas and mega and large cities in 2010-2015 to the surrounding sprawl of large, medium and small towns in the central and western regions in 2015-2020". Although the area of natural ecological land for forest and grass continued to decrease nationwide, the intensity decreased compared with 2010-2015. Under the continuous impact of climate change, the area of water in the Qinghai-Tibet Plateau increased significantly. The pattern of land use change is closely related to the national macro strategy for high-quality development during the "13th Five-Year Plan" period (2016-2020) and ecological civilization construction, as well as the impact of climate change. © 2022, Science Press. All right reserved.

引用

页码：1056 / 1071

页数：15

共 36 条

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