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Title Year Author Dataset
Climate-driven phenological changes in the Russian Arctic derived from MODIS LAI time series 2000-2019 Shabanov, N. V.
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data Zhang, Q.
Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios Vilar, L.
Spatio-temporal changes of land surface temperature and the influencing factors in the tarim basin, northwest China Abbas, A.
Evaluating eco-environment in urban agglomeration from a vegetation-impervious surface-soil-air framework: an example in Ningxia, China Sun, H.
Topographic controls on subpixel change detection in western Himalayas Sood, V.
Fractional vegetation cover estimation in southern African rangelands using spectral mixture analysis and Google Earth Engine Vermeulen, L. M.
Unraveling uncertainty drivers of the maize yield response to nitrogen: A Bayesian and machine learning approach
A satellite-based method for national winter wheat yield estimating in china Fu, Y.
Evaluating the differenced normalized burn ratio for assessing fire severity using sentinel-2 imagery in northeast siberian larch forests Delcourt, C. J. F.
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