Spatiotemporal Conflict Analysis and Prediction of Long Time Series Land Cover Changes in the Black Soil Region of Northeast China Using Remote Sensing and GIS

被引:2
作者
Ma, Ding [1 ]
Jiang, Sijia [1 ]
Tan, Xin [1 ]
Yang, Mingyu [1 ]
Jiao, Qingbin [1 ]
Xu, Liang [1 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
基金
中国国家自然科学基金;
关键词
land cover; long time series; GM (1; 1) model; black soil region; spatiotemporal analysis; human activities; Northeast China; TRANSITION MATRIX; DYNAMICS; CROPLAND;
D O I
10.3390/ijgi12070271
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Using remote sensing and GIS techniques to monitor long time series land cover changes is of great significance to understanding the impact of human activities on spatiotemporal conflicts and changes in cropland and forest ecosystems in the black soil region of Northeast China. Spatial analysis and dynamic degree were used to analyze the evolutionary process and spatiotemporal association of land cover from 1990 to 2020; the transfer matrix was used to analyze and reveal dynamic conversions of land cover from 1990 to 2000, 2000 to 2010, and 2010 to 2020; and the GM (1,1) model was used to forecast the changes in land cover by 2025 based on historical data. The results indicated that the dominance of forest and cropland did not change from 1990 to 2020, and the average area of forest and cropland was 512,713 km(2) and 486,322 km(2), respectively. The mutual conversion between cropland, forest, grassland, and bare areas was the most frequent. The area of cropland converted into forest and grassland was 14,167 km(2) and 25,217 km(2), respectively, and the area of forest and grassland converted into cropland was 27,682 km(2) and 23,764 km(2), respectively, from 1990 to 2000. A similar law of land cover change was also presented from 2000 to 2020. In addition, the predicted values of cropland, forest, grassland, shrubland, wetland, water bodies, impervious surfaces, and bare areas were 466,942 km(2), 499,950 km(2), 231,524 km(2), 1329 km(2), 11,775 km(2), 18,453 km(2), 30,549 km(2), and 189,973 km(2), respectively, by 2025. The maximum and minimum residuals between the predicted and actual values were 6241 km(2) and -156 km(2) from 1990 to 2020. The evaluation results of the GM (1,1) model showed that all of the evaluation indices were within an acceptable range, and that the posteriori error ratio and class ratio dispersion were both less than 0.25. Through comparison with other studies, this study is not only able to provide some experience for further analyzing the spatial and temporal changes in land cover and its future prediction but also provide a basis for comprehensive management in Northeast China.
引用
收藏
页数:20
相关论文
共 116 条
[41]   Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia [J].
Leta, Megersa Kebede ;
Demissie, Tamene Adugna ;
Traenckner, Jens .
SUSTAINABILITY, 2021, 13 (07)
[42]   Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China [J].
Li, Kongming ;
Feng, Mingming ;
Biswas, Asim ;
Su, Haohai ;
Niu, Yalin ;
Cao, Jianjun .
SENSORS, 2020, 20 (10)
[43]   Dynamic Variation of Ecosystem Services Value under Land Use/Cover Change in the Black Soil Region of Northeastern China [J].
Li, Quanfeng ;
Wang, Lu ;
Du, Guoming ;
Faye, Bonoua ;
Li, Yunkai ;
Li, Jicheng ;
Liu, Wei ;
Qu, Shijin .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (12)
[44]   Multi-Level Dynamic Analysis of Landscape Patterns of Chinese Megacities during the Period of 2016-2021 Based on a Spatiotemporal Land-Cover Classification Model Using High-Resolution Satellite Imagery: A Case Study of Beijing, China [J].
Li, Zhi ;
Lu, Yi ;
Yang, Xiaomei .
REMOTE SENSING, 2023, 15 (01)
[45]  
Liu B., 2021, DIGIT J GLOB CHANGE
[46]   Delineating the black soil region and typical black soil region of northeastern China [J].
Liu, Baoyuan ;
Zhang, Ganlin ;
Xie, Yun ;
Shen, Bo ;
Gu, Zhijia ;
Ding, Yingying .
CHINESE SCIENCE BULLETIN-CHINESE, 2021, 66 (01) :96-106
[47]   Land Use and Land Cover Change in the Yellow River Basin from 1980 to 2015 and Its Impact on the Ecosystem Services [J].
Liu, Bo ;
Pan, Libo ;
Qi, Yue ;
Guan, Xiao ;
Li, Junsheng .
LAND, 2021, 10 (10)
[48]   Land Use/Land Cover Changes and Their Driving Factors in the Northeastern Tibetan Plateau Based on Geographical Detectors and Google Earth Engine: A Case Study in Gannan Prefecture [J].
Liu, Chenli ;
Li, Wenlong ;
Zhu, Gaofeng ;
Zhou, Huakun ;
Yan, Hepiao ;
Xue, Pengfei .
REMOTE SENSING, 2020, 12 (19)
[49]   Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects [J].
Liu, Liangyun ;
Zhang, Xiao ;
Gao, Yuan ;
Chen, Xidong ;
Shuai, Xie ;
Mi, Jun .
JOURNAL OF REMOTE SENSING, 2021, 2021
[50]  
Liu S., 2000, Syst Eng Theory Pract, P121