PhD/Paper of the Week34 October.2022 Week-1 Detecting crop phenology from vegetation index time-series data by improved shape model fitting in each phenological stage ★★★★★ 2022. 9. 29. September.2022 Week-4 Characterizing spatiotemporal patterns of crop phenology across North America during 2000-2016 using satellite imagery and agricultural survey data ★★★★★ 2022. 9. 27. September.2022 Week-3 Exploring Google Street View with deep learning for crop type mapping ★★★ 2022. 9. 16. September.2022 Week-2 Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis ★★★★ 2022. 9. 11. September.2022 Week-1 Evaluation of four image fusion NDVI products against in-situ spectral measurements over a heterogeneous rice paddy landscape ★★★ A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky-Golay filter ★★★★★ 2022. 9. 4. August.2022 Week-4 Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogeneous landscape ★★★★ An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions ★★★★★ 2022. 8. 28. August.2022 Week-3 NIRv and SIF better estimate phenology than NDVI and EVI: Effects of spring and autumn phenology on ecosystem production of planted forests Canopy near-infrared reflectance and terrestrial photosynthesis Deep learning in agriculture: A survey Estimating crop yields with deep learning and remotely sensed data Machine learning for large-scale crop yield forecasting ★★★★★ A scalable satellite-based.. 2022. 8. 20. 이전 1 2 3 4 다음 728x90
