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Spatiotemporal climate variability in the Andes of northern Peru—Evaluation of gridded datasets to describe cloud forest microclimate and local rainfall Newell, F. L.
A comparative study of convolutional neural networks and conventional machine learning models for lithological mapping using remote sensing data Shirmard, H.
Using spectral indices and terrain attribute datasets and their combination in the prediction of cadmium content in agricultural soil Agyeman, P. C.
Sedimentary evidence of glacial entrainment at Patriot Hills and Union Glacier moraines, Ellsworth Mountains, West Antarctica Costa, V.
Uncertainties in partitioning evapotranspiration by two remote sensing-based models Chen, H.
Spatiotemporal quantification of key environmental changes in Stok and Kang Yatze regions of Ladakh Himalaya, India Soheb, M.
Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring Li, Y.
Efficient machine learning regression algorithm using Naïve Bayes classifier for crop yield prediction and optimal utilization of fertilizer Chandana, C.
Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda
An unmixing-based spatial downscaling fusion approach for the MODIS evapotranspiration product Lu, H.
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