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Publications Citing ORNL DAAC Data

List of peer-reviewed publications that cite using ORNL DAAC data.
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Satellite quantification of methane emissions and oil?gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action
Assessment of the regeneration of landslides areas using unsupervised and supervised methods and explainable machine learning models
Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L?Band InSAR and P?Band PolSAR
An enhanced deep learning approach to assessing inland lake water quality and its response to climate and anthropogenic factors
Preparing coastal erosion vulnerability index applying deep learning techniques in Odisha state of India
Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat
Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities
Flood Risk Assessment for Mpazi Basin Focusing on Land Use/Land Cover Alteration for the Kigali Master Plan 2050
Fusion of Multiple Models for Improving Gross Primary Production Estimation With Eddy Covariance Data Based on Machine Learning
Time-series satellite data for assessment of Bucharest city thermal environment
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