Review of coastal land transformation: Factors, impacts, adaptation strategies, and future scopes

A systematic review of cyclonic disaster: Damage-loss, consequences, adaptation strategies, and future scopes

“…This review's results showed that 41 % of studies relied on either image analysis exclusively or field surveys, with the majority using Landsat satellite images. Similarly, Gani et al [ 70 ] and Siddik & Islam [ 38 ] found Landsat to be the most widely used satellite image for identifying the changing nature of LULC. Landsat images are the most familiar satellite images to detect changes in vegetation, crop land, built-up area, etc.…”

“…Landsat images are the most familiar satellite images to detect changes in vegetation, crop land, built-up area, etc. because of their large coverage, enormous archive, high spectral resolution, and easy and free access [ 38 , 70 , 71 ]. Moreover, Avitabile et al [ 72 ] and Wijedasa et al [ 73 ] found Landsat images suitable for identifying field biomass and forest cover.…”

“…We conducted this critical review using the world's most familiar abstract and citation-related databases of peer-reviewed literature, Scopus and Web of Science. These databases are the foremost and most esteemed platforms for conducting reviews and meta-analyses of scholarly publications [ 37 , 38 ]. We carried out this systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline [ 39 ].…”