ID:
technologies-882
Name:
Rainfed Cereal Production and Agricultural Drought Assessment Tool
Technology:
Remote Sensing Indices (VCI, TCI, VHI, SMCI, SWI), Land Data Assimilation System (LDAS)
Type:
Drought Monitoring, Yield Prediction
Data used as input:
Remote sensing data, LDAS
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco
Paper DOI (if available):
10.3390/rs12244018
Project ID (if available):
823965
Project Acronym (if available):
ACCWA
Service description:
Assesses rainfed cereal production and agricultural drought using remote sensing and LDAS.
