Huajun Tang

TL;DR: MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat yield in one of the main winter-wheat-growing regions and the method suggested was good for predicting regional winter wheat production and yield estimation.

TL;DR: In this article, the authors show that there are significant additional pressures on existing agricultural land through increased competition from the biofuel sector and the need to elevate feed production, which is being driven by higher levels of meat consumption in low and middle-income countries.

TL;DR: Evaluating the Collection 3 MODIS land cover and the Collection 4 MODIS LAI products in the North China Plain indicates that an apparent misclassification exists between grasses/cereal crop and broadleaf crop biomes in the MODis land cover product.

TL;DR: Wang et al. as discussed by the authors used time series of global inventory modeling and mapping studies (GIMMS) normalized difference vegetation index (NDVI) datasets at a spatial resolution of 8 km and 15-d interval to investigate the spatial patterns of cropland phenology in China.

TL;DR: In this paper, the authors decompose global change/food security studies into different levels in accordance with the previous mentioned issues, field, regional, and global, and categorize them into the life sciences, earth and environmental sciences, and social and sustainability sciences, respectively (yet not necessarily one to one correspondence).