Spatiotemporal Image Fusion With Spectrally Preserved Pre-Prediction: Tackling Complex Land-Cover Changes
Author:
Affiliation:
1. Department of Geography, The University of Hong Kong, Hong Kong, SAR, China
2. Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Center For Ocean Research in Hong Kong and Macau
Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/36/10354519/10552886.pdf?arnumber=10552886
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1. Remote Sensing Satellites for Digital Earth
2. The Harmonized Landsat and Sentinel-2 surface reflectance data set
3. A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery
4. Monitoring and characterizing multi-decadal variations of urban thermal condition using time-series thermal remote sensing and dynamic land cover data
5. Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors
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