An integration method to improve the quality of global land cover-Reference-Cited by-同舟云学术

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An integration method to improve the quality of global land cover

Published:2022-02 Issue:3 Volume:69 Page:1427-1438
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Qian Xinyu,Zhang Lei

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference35 articles.

1. Global land cover mapping at 30m resolution: a POK-based operational approach;Chen;ISPRS J. Photogramm. Remote Sens.,2015

2. Land cover mapping of large areas from satellites: status and research priorities;Cihlar;Int. J. Remote Sens.,2000

3. Unmanned aerial systems for photogrammetry and remote sensing: a review;Colomina;ISPRS J. Photogramm. Remote Sens.,2014

4. Global land cover classifications at 8 km spatial resolution: the use of training data derived from Landsat imagery in decision tree classifiers;Fries;Int. J. Remote Sens.,1998

5. Global land cover mapping from MODIS: algorithms and early results;Friedl;Remote Sens. Environ.,2002

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Land use and land cover classification using machine learning algorithms in google earth engine;Earth Science Informatics;2023-08-19

2. INCREASING THE SPATIAL ACCURACY OF THE LAND USE MAP USING FUSION OF OPTICAL AND RADAR IMAGES OF SENTINEL AND GOOGLE EARTH ENGINE;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-01-13

3. On Satellite Imagery of Land Cover Classification for Agricultural Development;The International Arab Journal of Information Technology;2023

4. Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods;Remote Sensing;2022-04-20

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