A framework for multi-sensor satellite data to evaluate crop production losses: the case study of 2022 Pakistan floods.

ABSTRACT: In August 2022, one of the most severe floods in the history of Pakistan was triggered due to the exceptionally high monsoon rainfall. It has affected ~ 33 million people across the country. The agricultural losses in the most productive Indus plains aggravated the risk of food insecurity in the country. As part of the loss and damage (L&D) assessment methodologies, we developed an approach for evaluating crop-specific post-disaster production losses based on multi-sensor satellite data. An integrated assessment was performed using various indicators derived from pre- and post-flood images of Sentinel-1 (flood extent mapping), Sentinel-2 (crop cover), and GPM (rainfall intensity measurements) to evaluate crop-specific losses. The results showed that 2.5 million ha (18% of Sindh's total are

SUBMITTER: Qamer FM 

PROVIDER: S-EPMC10015072 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature