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.
In the summer of 2020, according to satellite data analysis, Thai rice (Rice2) was monitoring poor crops due to a number of downstream phenomena in the construction of an irrigation dam in the upper reaches of the Mekong River (Tibetan, China) in COVID-19. From GEOGRAM CROP MONITOR.
In May and June 2020, there was a sudden crop failure of Thai rice in the lower reaches of the Mekong River.
May 2019 is good (Rice1 (Japanese rice) AVERAGE Rice2 (Thai rice) AVERAGE)
May 2020 is bad (especially Thai rice(THAI RICE), not Japanese rice)
o
Poor Thai rice condition in downstream in May 2021 (especially Thai rice, not Japanese rice)
Global Impacet on Rice2 Thai Rice
https://cropmonitor.org/index.php/eodatatools/cmet/
Cause:
It is possible that the dam construction is progressing upstream of the Mekong River and the water level of the river has decreased due to the dam.
tps://globe.asahi.com/article/13885341
https://natgeo.nikkeibp.co.jp/atcl/news/20/021300095/
he reason why rice is susceptible to this effect is that rice uses the paddy field method and cannot grow without a water level for cultivation.
IMF said the Thailand Economic impact to Afrigultre was negative untill 2020-Q3
In the future, I will always explain the photographic data from the earth satellites.
I wrote the Python code.
On a national scale, it is necessary to deliberate the Mekogong river water use between countries, based on the Dam plot data set . It allows to observe the number of growth of the irrigation dams seen from satellite by NASA WOLD VIEW for each cultivation type.
Understanding the number of large-scale dams and soil moisture content
Soil moisture content needs to be deliberated while investigating the latest SMAP data.
In futue, in a domestic country scale, more localized and detailed agriculture impact dataset withh bwill be enhanced using ALOS-3, which is scheduled to be launched in 2021.
htps://www.eorc.jaxa.jp/ALOS/a/jp/alos-3/a3_about_j.htm
Data analysis using the open source QGIS or KML data available in the Google Earth app.
STEP1: Set the Timestamp (before covid 2019 May, Mid point 2020 May, Now point 2021 May)
STEP2: Compare the Agicultre impact with 3 timestamp by GEOGLAM Crop monitor
STEP3: Find the areas which have drastic negative or positive impact and the time.
STEP4: Find the crop kind by swiching the data.
STEP5: Resarch articles and studies from the web to figure out the cause and events the time stamp.
STEP6: Prove the incidents (this time number increase of irrigation dam) from Satelite data.
STEP7: Think to prevent in future from Sattelite data.
IWe have accessed the eruodatacube and rum the notebook python code.
https://eurodatacube.com/dashboard
https://github.com/codeforhodogaya/EO_Dashbord_Hackerthon_Eurocube_GEODB
https://youtu.be/yPO7UHqU3b0
DASHBORD
https://cropmonitor.org/index.php/eodatatools/cmet/
https://worldview.earthdata.nasa.gov/?v=58.85630199448255,-1.5346671738615605,139.4833998122894,39.39478317670567&l=NDH_Drought_Proportional_Economic_Loss_Risk_Deciles_2000(hidden),NDH_Drought_Mortality_Risks_Distribution_2000(hidden),NDH_Drought_Hazard_Frequency_Distribution_1980-2000(hidden),GRanD_Dams,Reference_Labels_15m(hidden),Reference_Features_15m(hidden),Coastlines_15m,VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor(hidden),MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor&lg=true&l1=NDH_Drought_Proportional_Economic_Loss_Risk_Deciles_2000(hidden),NDH_Drought_Mortality_Risks_Distribution_2000(hidden),NDH_Drought_Hazard_Frequency_Distribution_1980-2000(hidden),GRanD_Dams,Reference_Labels_15m(hidden),Reference_Features_15m(hidden),Coastlines_15m,VIIRS_NOAA20_CorrectedReflectance_TrueColor(hidden),VIIRS_SNPP_CorrectedReflectance_TrueColor(hidden),MODIS_Aqua_CorrectedReflectance_TrueColor(hidden),MODIS_Terra_CorrectedReflectance_TrueColor&lg1=true&ca=true&cv=63&t=2020-07-16-T22%3A00%3A00Z&t1=2019-04-24-T12%3A31%3A35Z
DOCUMENTS
https://www.eorc.jaxa.jp/ALOS/a/jp/alos-3/a3_about_j.htm
https://globe.asahi.com/article/13885341
https://natgeo.nikkeibp.co.jp/atcl/news/20/021300095/
#RICE #THAILAND #RIVER #DAM
This project has been submitted for consideration during the Judging process.