Agri-Hub/Deep-Learning-for-Cloud-Gap-Filling-on-Normalized-Difference-Vegetation-Index
A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index (NDVI) time-series of a static 6-day time resolution and can be used for Events Detection tasks
Jupyter NotebookMIT
Stargazers
- ajigeo
- AlexCornelius
- alkiskk
- Alyeko
- dilaraozdemirMitsubishi Electric Innovation Center
- dunchay
- elifmeseciSimurgAI
- enguy-hub
- eupassarinhoUniversidade Federal de Viçosa
- fdbesanto2
- gchoumosNational Observatory of Athens
- gognlin
- huangjingyuan7Dalian University of Technology
- huangzq681Sun Yat-sen University
- iameztoy
- ishaankochhar@blueskyanalytics
- itsoumNational Observatory of Athens
- JalesBussinguerUniversidade de Brasília
- JasonTarzanAthens,Greece
- JavierLopatinUniversidad Adolfo Ibáñez
- jdilger
- julianblueDüsseldorf
- Kikysee
- lyyxiaoyun
- MrZombie69232OMD EMEA
- nghenziSouth Korea
- prateekralhan@SwissRe
- pyroman1337First Climate
- robmarkcole@earthdaily
- RPLzzzz
- Samorodowv
- Shuwen-Liu
- stinebUniversity Bern
- theroggyBelgium
- Tolgaisikpidefix
- ZZMitchNatural Resources Canada