[U-05] Geospatial Applications for Natural Resources, Environment and Agriculture

[U05-05] Exploring Cyclone-Induced Rice Crop Damage and Yield Loss in the Coastal Area of Bangladesh Using Satellite Remote Sensing

★Invited Papers

*Md Shamsuzzoha¹, Tofael Ahamed² (1.Graduate School of Life and Environmental Sciences, University of Tsukuba, Tennodai 1-1-1, 305-8572, Japan, Email: [e-mail], 2.Faculty of Life and Environmental Sciences, University of Tsukuba, Tennodai 1-1-1, 305-8572, Japan, Email: [e-mail])

Keywords:Normalized Difference Vegetation Index, Disaster Vegetation Damage Index, Rice Yield Loss Assessment, Satellite Remote Sensing

Bangladesh is one of the global south disaster-prone countries for tropical cyclones and suffers agricultural crop production losses yearly due to the impact of cyclone-induced damages. This study was conducted in the coastal district of the country named Patuakhali. We used two sets of Landsat-8 OLI image datasets before and after cyclone, Bulbul made landfall on November 9th, 2019. In the last 52 years of Bangladesh in south Asia, it was one of the longest-enduring transboundary cyclones lasting approximately 36 h. We calculated the normalized difference vegetation index (NDVI) and their differences due to the cyclone impact to explore the crop-soil phenological characteristics. We prepared agricultural land use data of the study district using country data sheets collected from the Survey of Bangladesh (SoB). The modified vegetation condition index (mVCI) was developed to examine the disaster vegetation damage index (DVDI) for measuring the not damage, slight damage, moderate damage, extreme damage, and exceptional damage of the agricultural lands. The yield estimation of rice crops was calculated respectively before and after the cyclone using simple linear regression utilizing field data based on the SoB-provided ground reference points (GRPs) on agricultural lands. This study also explored the marginal, slight, moderate, very, and extreme loss of transplanted Aman rice crops due to the tropical cyclone Bulbul. This research, with differences in NDVI (DNDVI), DVDI, and yield loss statistics, could be helpful for researchers creating new needs assessment policies to help affected farmers to prepare an effective emergency management plan for their risk-reduction purposes in cyclone-prone countries.