Spatio-Temporal Land-Use/Cover Change Dynamics Using Spatiotemporal Data Fusion Model and Google Earth Engine in Jilin Province, China

Spatio-Temporal Land-Use/Cover Change Dynamics Using Spatiotemporal Data Fusion Model and Google Earth Engine in Jilin Province, China

Jilin Province is located in the northeast of China, and has fragile ecosystems, and a vulnerable environment. Large-scale, long time series, high-precision land-use/cover change (LU/CC) data are important for spatial planning and environmental protection in areas with high surface heterogeneity. In...

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Bibliographic Details
Main Authors: Zhuxin Liu, Yang Han, Ruifei Zhu, Chunmei Qu, Peng Zhang, Yaping Xu, Jiani Zhang, Lijuan Zhuang, Feiyu Wang, Fang Huang
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Land
Subjects:
spatio-temporal data fusion
OL-STARFM
LU/CC
GEE
random forest
spatio-temporal characteristics
Online Access:https://www.mdpi.com/2073-445X/13/7/924

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https://www.mdpi.com/2073-445X/13/7/924

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