An Adaptive Stacking Regressor With a Self-Iterative Optimization Module for Improving Fractional Woody Cover Mapping-Reference-Cited by-同舟云学术

An Adaptive Stacking Regressor With a Self-Iterative Optimization Module for Improving Fractional Woody Cover Mapping

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Cai Yaotong¹^ORCID,Zhang Yutian²,Ma Liyu³,Luo Kaijian³,Liu Xiaoping¹^ORCID,Li Bingjie¹,Zhuang Haoming¹^ORCID

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. College of Forestry, Central South University of Forestry and Technology, Changsha, China

3. Forestry Administration of Guangdong Province, Guangzhou, China

Funder

National Key Research and Development Program

National Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10138882.pdf?arnumber=10138882

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4. Support vector regression and synthetically mixed training data for quantifying urban land cover

5. Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations;liao;Int J Appl Earth Observ Geoinf,2020