A methodological framework for identifying potential sources of soilheavy metal pollution based on machine learning: A case study in theYangtze Delta, China
An Approach to Improve Leaf Pigment Content Retrieval by Removing Specular Reflectance Through Polarization Measurements
Estimating Tea Plantation Area Based on Multi-source Satellite Data
Identify the optimization strategy of nitrogen fertilization level based on trade-off analysis between rice production and greenhouse gas emission
Using nighttime data and POI big data to detect the urban centers of Hangzhou.
Finer Resolution Mapping of Marine Aquaculture Areas Using WorldView-2 Imagery and a Hierarchical Cascade Convolutional Neural Network
Assessing and mapping cultural ecosystem services supply, demand and flow of farmlands in the Hangzhou metropolitan area, China
Improvement of spatial modeling of Cr, Pb, Cd, As and Ni in soil based on protable X-ray fluorescence (PXRF) and geostatistics: A case study in east China.
A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China.
2018年1月低温雨雪冰冻天气对广西糖料蔗影响的量化评估