Earth Observation
GIEWS

Research Corner
With intention to inspire users to ingest earth-observation based datasets and geo-spatial analysis into their own research works, this section highlights some analytical and research work using these datasets. Particular attention is given to work that has used Global Agricultural Stress Index System (ASIS) datasets. We welcome submissions of new work in this area. Please send contributions that have at least been peer reviewed at the working paper level to [email protected].

ASIS near-real time (dekadal and monthly) datasets have been used regularly by FAO and other institutions/agencies for crop/grassland production monitoring.
For example:
GIEWS Early Warning Reports (GIEWS Updates, Special Alerts, CFSAMs Reports)    GIEWS Country Briefs (update at least 4 times a year)
 
FAO-WFP Hunger Hotspots (3 times a year)    GEOGLAM Crop Monitor for Early Warning (monthly)
ASIS annual and multi-annual datasets have contributed to various climate and social-economic studies.
For example:
O. Rojas, Y. Li, R.Cumani: Understanding the drought impact of El Niño on the global agricultural areas: An assessment using FAO’s Agricultural Stress Index (ASI)    FAO: State Of The World’s Land and Water Resources for Food and Agriculture (SOLAW) 2021, Sustainable Land Resources Planning And Management
 
FAO:State of Food and Agriculture (SOFA) 2020, Population affected by water stress    OECD-FAO Agricultural Outlook 2016-2025, Drought impact on agricultural production
 
FAO:Practical guidelines for Early Warning Early Action plans on agricultural drought    Y. Li, A. Strapasson, O. Rojas: Assessment of El Niño and La Niña impacts on China: Enhancing the Early Warning System on Food and Agriculture
O. Rojas, A. Piersante, M. Cumani, Y. Li: Understanding the Drought Impact of El Niño/La Niña in the Grain Production Areas in Eastern Europe and Central Asia : Russia, Ukraine, and Kazakhstan    O. Rojas, Shukri Ahmed: Feasibility of using the FAO-Agricultural Stress Index System (ASIS) as a Remote Sensing based Index for Crop Insurance
 
M. Doan, R. Hill, S.Hallegatte, etc.: Counting People Exposed to, Vulnerable to, or at High Risk From Climate Shocks, A Methodology.