Remotely sensed data can provide information about conditions on the ground that may affect food supply chains and food security during pandemics. Your challenge is to demonstrate the agricultural socio-economic impacts from COVID-19.
- Project will be as long as the challenge requirements and will be sintetized in 7 slides for the 'demo' solution- Will contain names of teammates ordered alphabetically by last name- Front page logo may be discussed.- Well crafted index- Well crafted conclusions- References in APA style- Content must be discussed among teammates- Content should have graphics, charts, pictures and/or animated simulations- As a team we agree to work under the EODH 2021 rules- Any other team's rules are open to be discussed- Have joy to help humanity developing solutions in a team based environment where everyone is a leader
Project starts in blank. Will be updated trough the EODH. Project must be about exactly about the topic of the challenge 'Agricultural Impacts'.
Main Objective: "Demonstrate the agricultural socio-economic impacts from COVID-19, especially with regard to restriction of human movement in country and internationally.
How can you assess the impacts on agriculture production by using publicly available time series trend information, especially in the lower Mekong region for rice crops?" (EODH, 2021).
BackGround: "During socioeconomic disruptions such as the COVID-19 pandemic, individuals and governments are often concerned with the risk of disruptions in supply chains and logistics that could impact food security in a region or globally.
Space-based Earth observations and remotely sensed data can provide information about conditions on the ground that may affect food supply chains and food security. For example, the data can allow you to assess precipitation, soil moisture, land cover, water stress, changes in agricultural food production systems, water resource management, and other associated changes caused by the response to COVID-19" (EODH, 2021).
Special Considerations: "You may (but are not required to) use publicly available rice planting and growing information from ESA/GeoRice and JAXA ALOS-2 with open mobility data (labor resource migration / movement) and agromet condition by JAXA JASMIN and GEOGLAM in combination with socio-economic data" (EODH,2021).
This project has been submitted for consideration during the Judging process.