Teng Fei

TL;DR: Wang et al. as discussed by the authors compared partial least squares regression PLSR and support vector machine regression SVMR methods for estimating the nitrogen C N, phosphorus C P, and potassium C K contents present in leaves of diverse plants using laboratory-based visible and near-infrared Vis-NIR reflectance spectroscopy.

TL;DR: In this paper, the authors compared stepwise multiple linear regression (SMLR), partial least squares regression (PLSR), and support vector machine regression(SVMR) for estimating soil total nitrogen (TN) contents with laboratory visible/near-infrared reflectance (Vis/NIR) of selected coarse and heterogeneous soils.

TL;DR: The results indicated that it was feasible to monitor the As contamination in agricultural soils using the reflectance spectra of rice plants, and the prediction mechanism might be the relationship between the As contents in soils and the chlorophyll-a/-b contents and cell structure in leaves or canopies of Rice plants.

TL;DR: In this article, the authors applied MODIS images from 2000 to 2010 to obtain and analyze the spatiotemporal variation of suspended sediment concentration (SSC) and discussed factors affecting it in Poyang Lake, China.

TL;DR: Li et al. as discussed by the authors proposed a novel framework for predicting and calculating the solar radiation and electric energy that can be collected from the roads, where Google Street View images are collected to measure the sky obstruction of roads which is integrated with the solar irradiation model to estimate the irradiation receiving capability.