期刊论文

Peng, Feifei

英文

International Journal of Applied Earth Observation and Geoinformation

1569-8432

2019

81

13-26

10.1016/j.jag.2019.05.006

This work was supported by the National Natural Science Foundation of China ( 41701511 and 41871176 ), the Hubei Provincial Natural Science Foundation of China ( 2017CFB278 ), the Fundamental Research Funds for the Central Universities ( CCNU19QN048, CCNU19QN047, and CCNU19TD002 ), and the Key Laboratory for National Geographic State Monitoring of National Administration of Surveying, Mapping and Geoinformation ( 2018NGCMZD03 ). Special thanks are extended to Google for provision of the GEE platform, USGS for provision of NLCD products, JAXA Earth Observation Research Center for provision of the AW3D30, and Pawel Netzel et al. for provision of the GeoWeb application of LandEx. The authors would like to thank the anonymous reviewers for their very constructive comments.

本校为第一且通讯机构

Public Earth Observation (EO) data archives, e.g., MODIS, Landsat, and Sentinels, are valuable sources of information for a broad range of applications. For decision-supporting applications used in urban planning, land management, and sustainable development, images covering regions similar to the study area are prerequisites for high-accuracy decision making. These desirable images cannot be quickly searched for in the EO data archives via image metadata alone but can be obtained through content-based image retrieval methods. Land cover (LC) information, traditionally obtained through image s...