An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series

Meng Liu(University of Utah), Eileen H. Helmer(US Forest Service), Linqing Yang(Beijing Normal University), Wei Yang(Chiba University), Xuehong Chen(Chinese Academy of Sciences), Jin Chen(Beijing Normal University), Xiaolin Zhu(Hong Kong Polytechnic University)
Remote Sensing of Environment
April 12, 2019
10.1016/j.rse.2019.03.012
Cited by 166

Related Papers

Plant phenology and global climate change: Current progresses and challenges
|Global Change Biology|2019|2k
Hyperspectral Image Classification with Capsule Network Using Limited Training Samples
|Sensors|2018|144
Climate-driven disturbances amplify forest drought sensitivity
|Nature Climate Change|2024|70
Estimation of biomass burning emissions by integrating ICESat-2, Landsat 8, and Sentinel-1 data
|Remote Sensing of Environment|2022|58
Feasibility of Burned Area Mapping Based on ICESAT−2 Photon Counting Data
|Remote Sensing|2019|41