Reconstruction of high spatial resolution surface air temperature data across China: A new geo-intelligent multisource data-based machine learning technique-Reference-Cited by-同舟云学术

Reconstruction of high spatial resolution surface air temperature data across China: A new geo-intelligent multisource data-based machine learning technique

Published:2019-05 Issue: Volume:665 Page:300-313
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zhu Xiudi,Zhang Qiang^ORCID,Xu Chong-Yu^ORCID,Sun Peng,Hu Pan

Funder

National Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

Fund for Creative Research Groups

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference69 articles.

1. Biophysical climate impacts of recent changes in global forest cover;Alkama;Science,2016

2. Using the Special Sensor Microwave/Imager to monitor land surface temperatures, wetness, and snow cover;Basist;J. Appl. Meteorol.,1998

3. Estimating air surface temperature in Portugal using MODIS LST data;Benali;Remote Sens. Environ.,2012

4. Random forests;Breiman;Mach. Learn.,2001

5. A statistical method based on remote sensing for the estimation of air temperature in China;Chen;Int. J. Climatol.,2015

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