土地覆盖
土地利用
地理
土地信息系统
土地利用、土地利用的变化和林业
遥感
自然地理学
变更检测
环境科学
环境资源管理
土地管理
生态学
生物
作者
Simon Moulds,Wouter Buytaert,Ana Mijić
标识
DOI:10.1038/sdata.2018.159
摘要
In recent decades India has undergone substantial land use/land cover change as a result of population growth and economic development. Historical land use/land cover maps are necessary to quantify the impact of change at global and regional scales, improve predictions about the quantity and location of future change and support planning decisions. Here, a regional land use change model driven by district-level inventory data is used to generate an annual time series of high-resolution gridded land use/land cover maps for the Indian subcontinent between 1960-2010. The allocation procedure is based on statistical analysis of the relationship between contemporary land use/land cover and various spatially explicit covariates. A comparison of the simulated map for 1985 against remotely-sensed land use/land cover maps for 1985 and 2005 reveals considerable discrepancy between the simulated and remote sensing maps, much of which arises due to differences in the amount of land use/land cover change between the inventory data and the remote sensing maps.
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