Using nighttime data and POI big data to detect the urban centers of Hangzhou.
A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China.
A new approach for obtaining precipitation estimates with a finer spatial resolution on a daily scale based on TMPA V7 data over the Tibetan Plateau.
X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content.
杨梅花，史舟等Evaluation of Machine Learning Approaches toPredict Soil Organic Matter and pH Usingvis-NIR Spectra
Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China
Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs
Coastal Aquaculture Mapping from Very High Spatial Resolution Imagery by Combining Object-Based Neighbor Features
Quantifying the spatiotemporal dynamics and multi-aspect performance of non-grain production during 2000–2015 at a fine scale
Multi-sensor fusion for the determination of several soil properties in the Yangtze River Delta, China