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Exploring discrepancies between in situ phenology and remotely derived phenometrics at <scp>NEON</scp> sites
Estimating urban LST using multiple remotely sensed spectral indices and elevation retrievals Mushore, T. D.
A synthetic algorithm on the skew-normal decomposition for satellite LiDAR waveforms Zhu, T. H.
A new spatial–temporal depthwise separable convolutional fusion network for generating Landsat 8-day surface reflectance time series over forest regions Zhang, Y.
Improving forest above-ground biomass retrieval using multi-sensor L- and C- Band SAR data and multi-temporal spaceborne LiDAR data Musthafa, M.
An Improved Zhang's Dynamic Water Balance Model Using Budyko-Based Snow Representation for Better Streamflow Predictions
Landslide susceptibility mapping—Improvements in variable weights estimation through machine learning algorithms, a case study of upper Indus River Basin, Pakistan Imtiaz, I.
Dynamic forecast of desert locust presence using machine learning with a multivariate time lag sliding window technique Sun, R.
Assessing vegetation ecosystem resistance to drought in the middle reaches of the Yellow River Basin, China Shi, X. L.
Spatial prioritization for wildfire mitigation by integrating heterogeneous spatial data—A new multi-dimensional approach for tropical rainforests Sakti, A. D.
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