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Publications Citing ORNL DAAC Data

List of peer-reviewed publications that cite using ORNL DAAC data.
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New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests
Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data
Model-Based Estimation of Forest Canopy Height and Biomass in the Canadian Boreal Forest Using Radar, LiDAR, and Optical Remote Sensing
Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska
Mutual Information Feature Selection (MIFS) Based Crop Yield Prediction on Corn and Soybean Crops Using Multilayer Stacked Ensemble Regression (MSER)
Color-based SAR image segmentation using HSV+FKM clustering for estimating the deforestation rate of LBA-ECO LC-14 modeled deforestation scenarios, Amazon basin: 2002-2050
On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine
The impact of solar activity on ambient ultrafine particle concentrations: An analysis based on 19-year measurements in Boston, USA
Seasonal Variability in Local Carbon Dioxide Biomass Burning Sources Over Central and Eastern US Using Airborne In Situ Enhancement Ratios
Strategic Forest Reserves can protect biodiversity in the western United States and mitigate climate change
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