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.
According to the research given by Pai Deetes,Thailand & Myanmar campaigns directors , The global Covid-19crisis has shed a light on the deep-seated inequities in the way our rivers and the people who depend on themare treated. It came as an opportunity for many communities who depend on the natural resources such asforests and rivers. Members of the indigenous Karen community in northern Thailand deliver rice from theirland to the neighboring Bang Kloi community experiencing food shortages. Over 7,000 tonnes of rice weredelivered – recognizing that the people of Bang Kloi have the right to eat in the land of their ancestors. Fordecades the Karen community has been strongly united in mekong
Agricultural production in the Mekong region has been and is being shaped by a drive towards modernization and trade expansion as well as the continued importance of the sector for food security and income generation. Thailand and, more recently, Vietnam have emerged as important players in the global agriculture market. By pursuing agricultural development through promoting export-led
growth since the 1950s, Thailand has become one of the world's leading agricultural exporters, in particular of rice, sugar and natural rubber Similarly, Vietnam has been turning towards higher-value,export-driven agriculture over the past 20 years to become one of the world's leading exporters of pepper, coffee, rice and cashew .While the sector's share of GDP in the two countries has fallen well below those of the services and industrial goods sectors, agriculture continues to employ a significant proportion of the labour force.
Data analysis allowed us to assess the influence of salinity intrusion on WS seasons for each province It also shows the rice area affected by salinity (>4 g/L) in 2015, 2016, 2019, and 2020, and the corresponding percentages per year (Figure 11b). The results show that the rice area in Bến Tre province was regularly affected by salinity intrusion (greater than 30%, and in 2016 and 2020 affecting over 95% of the rice-growing area). The rice area in Trà Vinh affected by salinity intrusion was about 17% in 2016 and 20% in 2020. Similarly, the rice area in Sóc Trăng province was also affected by salinity intrusion with less than 15% in 2015 and 2019, and up to 32% in 2016 and 2020. Results indicate that in Bạc Liêu province, around 33–47% of the rice-growing area was affected by salinity intrusion. Unlike other three provinces, Bạc Liêu province displayed an opposite trend in the years 2019 and 2020, in which the area of rice affected by severe salinity intrusion in 2020 was smaller than the previous years. This can be explained by the fact that some areas that were frequently affected by salinity intrusion no longer cultivate rice, so the rice area decreases during the year with the severe drought warned. In summary, results have shown that the provinces in the study area were frequently affected by salinity intrusion and were often affected more widely in severe drought years.
Sentinel-1 time series data were used in this study, and they consists of 282 Sentinel-1A and -1B C-band images with ground range detected (GRD) level 1, interferometry wide swath mode (IW), and VH (vertical transmit and horizontal receive) backscatter across a swath width of about 250 km. The images were collected for different years: 1 September 2014–30 April 2015 (33 scenes), 1 September 2015–30 April 2016 (41 scenes) and 1 August 2018–30 April 2020 (208 scenes). Starting from 25 April 2016, we have one image every 6 days instead of 12 days in the earlier time. These images have been processed for the period from 2015–2020 to generate maps of phenological stages and rice-planted areas for the whole MD covering the four coastal provinces of Bến Tre, Trà Vinh, Sóc Trăng and Bạc Liêu selected for this study
The Demo of the project is hereby attached with Public access
Data analysis allowed us to assess the influence of salinity intrusion on WS seasons for each province. It also shows the rice area affected by salinity (>4 g/L) in 2015, 2016, 2019, and 2020, and the corresponding percentages per year (Figure 11b). The results show that the rice area in Bến Tre province was regularly affected by salinity intrusion (greater than 30%, and in 2016 and 2020 affecting over 95% of the rice-growing area). The rice area in Trà Vinh affected by salinity intrusion was about 17% in 2016 and 20% in 2020. Similarly, the rice area in Sóc Trăng province was also affected by salinity intrusion with less than 15% in 2015 and 2019, and up to 32% in 2016 and 2020. Results indicate that in Bạc Liêu province, around 33–47% of the rice-growing area was affected by salinity intrusion. Unlike other three provinces, Bạc Liêu province displayed an opposite trend in the years 2019 and 2020, in which the area of rice affected by severe salinity intrusion in 2020 was smaller than the previous years. This can be explained by the fact that some areas that were frequently affected by salinity intrusion no longer cultivate rice, so the rice area decreases during the year with the severe drought warned. In summary, results have shown that the provinces in the study area were frequently affected by salinity intrusion and were often affected more widely in severe drought years.
EO dashboard
Sentinel 1
ESA
Jaxa
#economic impact #water # agriculture
This project has been submitted for consideration during the Judging process.