Suming Jin

TL;DR: In this article, a post-fire Landsat image acquired on August 5th, 2004 was used to reveal the spatially explicit land surface change by minimizing the confounding factors of weather variability, seasonal offset, topography, land cover, and drainage.

TL;DR: In this article, a light-use efficiency model was proposed to quantify the spatially explicit GPP change caused by fires and succession, which was driven by maximum light use efficiency (Emax) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR).

TL;DR: In this paper, the authors integrated remote sensing (Landsat and MODIS) and models (carbon consumption model, emission factors model, and radiative forcing model) to calculate the carbon consumption, GHGs and aerosol emissions, and their radiativeforcing of 2001-2010 fires at 30m resolution in the Yukon River Basin of Alaska.

TL;DR: In this paper, the authors used an image reconstruction approach to compare postfire albedo with the albedos assumed that no fires had occurred, and examined the spatiotemporal variation of surface shortwave forcing (SSF) in the early successional stage of approximately 10 years.

TL;DR: The majority of the commission errors in the NLCD 2006 cultivated crops were confused with low-intensity developed classes, while the majority of omission errors were from herbaceous and shrub classes.