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 ofnon-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
Rapid determination of soil classes in soil profiles usingvis–NIR spectroscopy and multiple objectives mixedsupport vector classification
