AnPing Liao

TL;DR: In this article, an approach based on the integration of pixel-and object-based methods with knowledge (POK-based) has been developed to handle the classification process of 10 land cover types, i.e., firstly each class identified in a prioritized sequence and then results are merged together.

TL;DR: The overall study on land water in the program of global land cover remote sensing mapping achieves an effective overlay of global multi-spectral image of 30 m resolution for two base years, namely, 2000 and 2010, with the image rectification accuracy meeting the requirements of 1:200000 mapping.

TL;DR: This web-based system not only facilitates the integration of heterogeneous data and services required by GLC data production, but also provides online access, visualization and analysis of the images, ancillary data and interim 30 m global land-cover maps.

TL;DR: Wang et al. as mentioned in this paper compared five global cropland datasets in circa 2010 of China from in terms of croplland area and spatial location, including GlobalLand30, FROM-GLC, GlobCover, MODIS Collection 5, and MODIS Cropland.

TL;DR: In this article, the authors analyzed the spatial distribution pattern and temporal fluctuation of land surface water under scale-levels of global, latitude and longitude, continents, and climate zones, and calculated the indices such as water area, water ration and coefficient of spatial variation for further analysis.