Danxia Song
Orcid: 0000-0002-6475-7016Affiliations:
- Central China Normal University, College of Urban and Environmental Sciences, Wuhan, China
- University of Maryland, Department of Geographical Sciences, MD, USA (PhD 2016)
According to our database1,
Danxia Song
authored at least 14 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology.
Remote. Sens., June, 2024
2023
Developing Spatial and Temporal Continuous Fractional Vegetation Cover Based on Landsat and Sentinel-2 Data with a Deep Learning Approach.
Remote. Sens., 2023
Spatiotemporal Analysis of Vegetation Dynamics Based on Multi-Resolution Vegetation Products in the Three Parallel Rivers Basin from 2000 to 2018.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Land Surface Phenology Retrieval through Spectral and Angular Harmonization of Landsat-8, Sentinel-2 and Gaofen-1 Data.
Remote. Sens., 2022
Time-Series Reconstruction of 30M Fractional Vegetation Cover Based on Multi-Source Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Very Rapid Forest Cover Change in Sichuan Province, China: 40 Years of Change Using Images From Declassified Spy Satellites and Landsat.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product.
Int. J. Digit. Earth, 2021
Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2019
Evaluation of forest disturbance and its patch size distribution in china from remote sensing product.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data.
Int. J. Digit. Earth, 2016
2015
Land Surface Albedo Estimation from Chinese HJ Satellite Data Based on the Direct Estimation Approach.
Remote. Sens., 2015
2014
Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2012
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digit. Earth, 2012