2022
DOI: 10.1016/j.uclim.2022.101162
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Identifying the effect of monsoon floods on vegetation and land surface temperature by using Google Earth Engine

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Cited by 11 publications
(3 citation statements)
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“…In the Monsoon Climate Region (MCR) and the Equatorial Climate Region (ECR) of Southeast Asia, agricultural yield reduction was measured over 47,192 grid points at a 10-km resolution. Drought and flood levels, as well as crop damage stages, were determined using the Palmer Drought Severity Index (PDSI) [54], [55].…”
Section: Statistical Evaluation Of Climatic Variables 1) Regression A...mentioning
confidence: 99%
“…In the Monsoon Climate Region (MCR) and the Equatorial Climate Region (ECR) of Southeast Asia, agricultural yield reduction was measured over 47,192 grid points at a 10-km resolution. Drought and flood levels, as well as crop damage stages, were determined using the Palmer Drought Severity Index (PDSI) [54], [55].…”
Section: Statistical Evaluation Of Climatic Variables 1) Regression A...mentioning
confidence: 99%
“…The threshold value of 1.25 is an empirically derived standardized threshold, selected through trial and error [68], that demonstrates optimal recognition performance [69]. This rapid change detection method, along with the threshold selection of 1.25, was successfully validated and applied in recent inundation extraction studies [70,71]. The runnable code on GEE to reproduce this process is provided in Part A of Appendix A.…”
Section: Historical Inundation Scenarios With Sentinel-1 Datamentioning
confidence: 99%
“…Within this framework, one of the most promising developments for mapping and monitoring wetland forests is Google Earth Engine (GEE), a free cloud-based platform to process vast geospatial datasets that allows users to access, observe and analyze geospatial data across the entire planet (Gorelick et al 2017, Tassi & Vizzari 2020, Kafy et al 2023. The GEE platform contains petabytes of fully accessible images from multiple remote sensing platforms; it offers an enormous volume of Earth observation data and high-performance parallel computing equipment to analyze them (Rahaman & Shermin 2022, Hemati et al 2023). Thus, one major advantage of operating on the GEE platform is a significant reduction in satellite image processing time, which in a short period has contributed to improving the assessment of land use and land cover change, on top of traditional mapping and vegetation monitoring efforts (Mahdianpari et al 2020, Nasiri et al 2022.…”
Section: Monitoring Wetland Forest Dynamicsmentioning
confidence: 99%