Vegetation dynamics along an urban–rural gradient in the Yangtze River Delta: patterns, mechanisms, and scenario projections using a mixed-cell cellular automata (MCCA) framework

IF 6.9 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2025-10-01 DOI:10.1080/15481603.2025.2562725

Chen Li, Weifeng Qiao, Juan Tang, Hua Qiu, Yan Wu, Binpin Gao

引用次数: 0

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基于混合元胞自动机（MCCA）框架的长江三角洲城乡梯度植被动态模式、机制和情景预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.