Jinsong Deng

TL;DR: A new method using multitemporal and multisensor data (SPOT‐5 and Landsat data) to detect land‐use changes in an urban environment based on principal‐component analysis (PCA) and hybrid classification methods suggested that significant land‐ use changes have occurred in Hangzhou City from 2000 to 2003.

TL;DR: Wang et al. as discussed by the authors introduced a new generation of high spatial resolution and multi-spectral night-time light imagery from the satellite JL1-3B and examined its effectiveness for monitoring the spatial pattern and discriminating the types of artificial light based on a case study of Hangzhou, China.

TL;DR: In this paper, a comparison of five regression approaches (stepwise linear regression, KNN, support vector regression, random forest, stochastic gradient boosting, and stochastically gradient boosting) with two different candidate variable strategies to implement the optimal spatial above-ground biomass (AGB) estimation was performed.

TL;DR: In this article, a deep neural network (DNN) was employed for incorporating historical data and predicting future crop evapotranspiration (ETc) values to eliminate the limitations mentioned, and analyze the long-term dynamics of ETc based on limited climate data and simple method.

TL;DR: The maximum entropy (Maxent) model along with agricultural big data were combined to measure and map CESs supply with respect to aesthetics and recreation, within farmlands in the Hangzhou metropolitan area of China between 2010 and 2016 and indicated that the Maxent model was robust in mapping CESs Supply.