LiJun Chen

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: In this article, the spectral gradient difference (SGD) is used to quantitatively describe the spectral shapes and the differences in shape between two spectra, and a chain model is employed to represent the SGD pattern both qualitatively and quantitatively.

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: The spatial heterogeneity with three-level LSIs is characterized and the subsequent sample sizes and their spatial distributions are determined and it is demonstrated that the LSI-based sampling approach obtains more appropriate sample sizes for each region, sufficient sample numbers for rare classes, and optimal sample distributions in the geographical space.

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.