Wen-bin Wu

TL;DR: This review provides a comprehensive and intensive overview of crop LAI estimation based on hyperspectral remote sensing techniques, and categorizes the approaches used for crop Los Angeles Index (LAI) estimation into three types: approaches based on statistical models, physical models, and hybrid inversions.

TL;DR: In this article, the authors systematically proposed and analyzed three interactive strategies that could possibly raise future food production under global change by reviewing the current literatures, and suggest that cropland expansion is less possible amid fierce land competition, and it is likely to do less in increasing food production.

TL;DR: In this paper, a perspective of using high-resolution remote sensing data from satellite GF-1 for agriculture monitoring is provided, which assesses the applicability of high resolution imagery data for agricultural monitoring, and identifies potential applications from regional to national scales.

TL;DR: In this article, a remote sensing-based model for mapping winter wheat on the North China Plain was built through integration with Landsat images and land-use data, employing the unique phenological feature of winter wheat extracted from peak before winter (PBW).

TL;DR: In this paper, the authors explored the spatio-temporal changes in the Northeast China rice planting area over the period of 1980-2010 and analyzed their relationship to climate change.