Introduces ChronoEarth-492K, a 492K-patch temporally calibrated hyperspectral dataset from the EO-1 Hyperion archive spanning 2001-2017, plus a benchmark for static, short-horizon, and long-horizon spatiotemporal tasks using open geospatial products.
C., Potapov, P
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Adding Landsat data to a hybrid ML-physical model for TanDEM-X forest height estimation reduces RMSE by 13.5% and MAE by 16.6% on the Lopé national park site versus the original model.
Vegetation impacts on water yield are determined by atmospheric circulation changes, making moisture-recycling models biased toward negative effects and suggesting transient streamflow reductions in dry regions that may reverse with ecosystem maturity.
Bent-cable regression within a Bayesian hierarchical model on Queensland deforestation data identifies GDP growth as the sole clear driver and a weak bend signal between 2000-2007 amid high spatial variation.
citing papers explorer
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ChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark
Introduces ChronoEarth-492K, a 492K-patch temporally calibrated hyperspectral dataset from the EO-1 Hyperion archive spanning 2001-2017, plus a benchmark for static, short-horizon, and long-horizon spatiotemporal tasks using open geospatial products.
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Hybrid Machine Learning Model for Forest Height Estimation from TanDEM-X and Landsat Data
Adding Landsat data to a hybrid ML-physical model for TanDEM-X forest height estimation reduces RMSE by 13.5% and MAE by 16.6% on the Lopé national park site versus the original model.
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On the Methodology for Assessing Vegetation Impacts on the Atmospheric Branch of the Hydrological Cycle
Vegetation impacts on water yield are determined by atmospheric circulation changes, making moisture-recycling models biased toward negative effects and suggesting transient streamflow reductions in dry regions that may reverse with ecosystem maturity.
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Quantitative evaluation of regulatory policies for reducing deforestation using the bent-cable regression model
Bent-cable regression within a Bayesian hierarchical model on Queensland deforestation data identifies GDP growth as the sole clear driver and a weak bend signal between 2000-2007 amid high spatial variation.