Dafang Zhuang

TL;DR: Wang et al. as mentioned in this paper used Landsat TM/ ETM data at a spatial resolution of 30 in to reconstruct spatial and temporal patterns of cropland across China for the time period of 1990-2000.

TL;DR: In this paper, the authors developed a paddy rice mapping algorithm that uses time series of three vegetation indices (LSWI, EVI, and NDVI) derived from MODIS images to identify that initial period of flooding and transplanting in paddy Rice fields, based on the sensitivity of LSWI to the increased surface moisture during the period flooding and rice transplanting.

TL;DR: In this paper, the authors developed a paddy rice mapping algorithm that uses time series of three vegetation indices (LSWI, EVI, and NDVI) derived from MODIS images to identify that initial period of flooding and transplanting in paddy Rice fields, based on the sensitivity of LSWI to the increased surface moisture during the period flooding and rice transplanting.

TL;DR: In this article, the spatial patterns and temporal variation of land-use change during 1995-2000 are studied by using the Landsat TM digital images, supported by the 1km GRID data of land use change and the comprehensive characters of physical, economic and social features.

TL;DR: In this paper, the authors explored the potential of multi-temporal SPOT-4 VEGETATION (VGT) sensor data for characterization of temperate and boreal forests in Northeastern China.