Impacts study of GEE-based land use changes on Ecosystem Service Value(ESV)：take the Beijing-Tianjin-Hebei Region as an example
DONG Xin1,2， LIU Pengcheng1,2
1.Key Laboratory for Geographical Process Analysis & Simulation，Hubei Province，Wuhan 430079， China；2.College of Urban and Environmental Science，Central China Normal University，Wuhan 430079， China
Abstract：Based on the random forest classification algorithm provided by the Google Earth Engine (GEE) cloud platform， the Remote Sensing images of Beijing-Tianjin-Hebei Region from 2017 to 2019 are classified， and the distribution of types including forest， cropland， grassland， construction land， water and unused land are interpreted in the region.It is found that the land use within three years exhibits the largest change in the area of forest， cropland and grassland， followed by construction land， water area and unused land. The land use type mainly changed from cropland to forest and grassland. Changes in land use area have led to an increase in the total ESV of the research region from 391.4 billion yuan in 2017 to 401.399 billion yuan in 2019， of which the change in forest land area plays a major role， while the unused land contributes the least.It's inelastic for ESV to the ecological value coefficient of the three places， suggesting that the Ecosystem Service Value coefficient has little effect on ESV.The results are reliable. Studies have shown that with the advancement of the Beijing-Tianjin-Hebei collaborative development strategy， ecological services have improved， but land use should be rationally planned according to the actual situation of each region pattern， and it's necessary to strengthen the protection of forest land， grassland and waters， promote intensive land use， and rationally develop unused land.
董 欣,刘鹏程,. 基于GEE的土地利用变化对生态系统服务价值的影响研究——以京津冀地区为例[J]. 华中师范大学学报(自然科学版), 2020, 54(4): 670-678.
DONG Xin,LIU Pengcheng,. Impacts study of GEE-based land use changes on Ecosystem Service Value(ESV)：take the Beijing-Tianjin-Hebei Region as an example. journal1, 2020, 54(4): 670-678.
2020, Vol. 54 
