Kwanak-gu
Seoul, 151-742
Korea, Republic of (South Korea)
Seoul National University
Maize mapping, Without field-visits, Cropping intensity, Transfer-learning, Google Earth Engine
Maize mapping, Without field-visits, Cropping intensity, Random Forest, Google Earth Engine
carbon, gross primary productivity, Geostationary Satellite, GOES-R, Machine learning, gradient boosting, downwelling shortwave radiation, surface reflectance, eddy covariance, zarr, near real-time, sub-daily, CONUS, visible, near infrared, shortwave infrared, NIRv, NIRvP, MODIS, BESS
Gross primary productivity, Near-infrared reflectance of vegetation, Photosynthetically active radiation, Sentinel-2, Deep Learning
Leaf area index (LAI), Hybrid method, Canopy structure, Soil background, Near-infrared reflectance of vegetation (NIRV), PROSAIL model, Sentinel-2
mobile mapping system, LiDAR-camera fusion, street tree, urban carbon stock
Canopy Height Model (CHM), Canopy structure, Lidar, Sentinel-2, Time-series, Species, Phenology, Convolution Neural Network (CNN)
Far-red sun induced chlorophyll fluorescence, spectral fitting method, DCMU, mid spectral resolution imaging spectroscopy
Agroforestry, trees in croplands, trees in rows, scattered trees, U-Net
Proximal remote sensing, Viewing geometry, Sun-Induced Chlorophyll Fluorescence (SIF), Hyperspectral reflectance, Hyperspectral instrument, Rice paddy, mixed forest
Fraction of absorbed photosynthetically active radiation, Near-infrared albedo of vegetation, Spectral invariants theory, Directional effect, Energy conservation law
SIF, atmospheric correction, airborne, isofit, pressure elevation, aerosol
Soybean mapping, Early-season mapping, Source-free domain adaptation, Contrastive learning, Deep learning, Sentinel-2 imagery
