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Publications Citing Landsat 9 Data

List of peer-reviewed publications that cite using Landsat 9 data.
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Augmenting Landsat time series with Harmonized Landsat Sentinel-2 data productsAssessment of spectral correspondence Reflectance
Assessing within-field corn and soybean yield variability from worldview-3, planet, sentinel-2, and landsat 8 satellite imagery Reflectance
Investigation of land surface phenology detections in shrublands using multiple scale satellite data Reflectance, Anisotropy, Albedo, Plant Phenology, Enhanced Vegetation Index (EVI)
Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy Evapotranspiration, Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review Reflectance, Anisotropy, Albedo, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology
Land cover composition, climate, and topography drive land surface phenology in a recently burned landscape: An application of machine learning in phenological ... Reflectance, Anisotropy, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Albedo
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI), Reflectance, Land Use/Land Cover Classification, Plant Characteristics, Vegetation Cover, Vegetation Index
Analyzing daily estimation of forest gross primary production based on Harmonized Landsat-8 and Sentinel-2 product using SCOPE process-based model Reflectance
Crop yield estimation using multi-source satellite image series and deep learning Reflectance, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux