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Title Year Author Dataset
Deep learning-based spatiotemporal data fusion using a patch-to-pixel mapping strategy and model comparisons Ao, Z.
Agricultural landscape change impact on the quality of land—An African continent-wide assessment in gained and displaced agricultural lands Akinyemi, F. O.
Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics Wang, X.
How well can we predict vegetation growth through the coming growing season? Peng, Q.
Fractional vegetation cover derived from UAV and Sentinel-2 imagery as a proxy for in situ FAPAR in a dense mixed-coniferous forest? Putzenlechner, B.
Satellite-based long-term spatiotemporal patterns of surface ozone concentrations in China—2005-2019 Zhu, Q.
Assessment of SMAP and SMOS soil moisture products using triple collocation method over Inner Mongolia Hu, F.
Early spring onset increases carbon uptake more than late fall senescence: modeling future phenological change in a US northern deciduous forest
Desert locust cropland damage differentiated from drought, with multi-source remote sensing in Ethiopia Alemu, W. G.
Assessing the utility of remote sensing data to accurately estimate changes in groundwater storage
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