2022
DOI: 10.1016/j.envc.2022.100578
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Geo-environmental monitoring and assessment of land degradation and desertification in the semi-arid regions using Landsat 8 OLI / TIRS, LST, and NDVI approach

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Cited by 62 publications
(23 citation statements)
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“…The NDVI has been categorized into eight classes including urban and built-up lands, savannas, open shrublands, non-vegetated lands, grasslands, croplands, water bodies, and closed shrublands. Several studies have used NDVI to detect, assess, and monitor drought (Nanzad et al, 2019) and land degradation (Higginbottom and Symeonakis, 2014;Kumar et al, 2022). This index also estimates agricultural production (Roznik et al, 2022) and map fire risk (Michael et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…The NDVI has been categorized into eight classes including urban and built-up lands, savannas, open shrublands, non-vegetated lands, grasslands, croplands, water bodies, and closed shrublands. Several studies have used NDVI to detect, assess, and monitor drought (Nanzad et al, 2019) and land degradation (Higginbottom and Symeonakis, 2014;Kumar et al, 2022). This index also estimates agricultural production (Roznik et al, 2022) and map fire risk (Michael et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…To ensure accurate land cover analysis reflecting habitat quality, the land cover data were derived from Landsat 8 image bands (Gemeda et al, 2023;Yu et al, 2015). Prior to the classification of Landsat images, preprocessing steps were employed to enhance the quality of the imagery (Kumar et al, 2022). The radiometric corrections were applied to calibrate the data, remove atmospheric effects and normalise the influence of light factors using QGIS 3.28.2.…”
Section: Bird Surveys and Samplingmentioning
confidence: 99%
“…Remote sensing uses electromagnetic radiation sensors to record images of the earth's Environment that can be interpreted to produce helpful information (Read & Torrado, 2009). Utilization of image results captured by satellites with different sensors (such as TM, OLI, TIRS) has an excellent ability to determine surface characteristics by using re ected waves at speci c wavelengths (Kumar et al, 2022;Acharki, 2022;Thenkabail et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…These changes can affect the region's temperature and cause local warming (Wong & Yu, 2005; Srivanit & Hokao, 2013; Wibowo & Salleh, 2018). This warming on a local scale can be detected using satellite sensors which are often used to see patterns of Land Surface Temperature (LST) or surface temperature (Kumar et al, 2022;Sahani, 2021;Cilek & Cilek, 2021). Variation of surface temperature in various urban landscapes is strongly in uenced by the dominant land cover and land use in the region (Njoku & Tenenbaum, 2022).…”
Section: Introductionmentioning
confidence: 99%