2021
DOI: 10.1016/j.ejrs.2021.02.003
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Past and future land use/land cover changes from multi-temporal Landsat imagery in Mpologoma catchment, eastern Uganda

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Cited by 29 publications
(44 citation statements)
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“…All the three sites (COM, SHD, and Uncul) were similar by being wetland areas located close to each other within a 10 km radius and had been under the particular land use/cover type and climatic conditions for at least 30 years [42].…”
Section: Study Sitesmentioning
confidence: 99%
“…All the three sites (COM, SHD, and Uncul) were similar by being wetland areas located close to each other within a 10 km radius and had been under the particular land use/cover type and climatic conditions for at least 30 years [42].…”
Section: Study Sitesmentioning
confidence: 99%
“…In this study, pre-processing of the images like atmospheric and geometric corrections, suitable band selection, sub-setting, layer stacking and image enhancements (such as histogram equalization and focal analysis) were applied before performing the classification of the remote sensing data [6,16,31,47]. Atmospheric correction of the top of atmosphere (TOA) reflectance to surface reflectance removes atmospheric interference and it is required to implement the LULC changes detection [1,6,35]. Therefore, to obtain surface reflectance data, Landsat images were atmospherically corrected using FLASH algorithm in the ENVI software tools.…”
Section: Data Processing and Analysismentioning
confidence: 99%
“…Recently, geographical information systems (GIS) and remote sensing have been extensively used for LULC mapping and change detection across the world [6,16,[33][34][35]. Moreover, advances in remote sensing such as the use of digital image processing algorithms have increased the use of satellite imageries such as Landsat data in studies concerned with LULC changes across multiple spatial and temporal scales [35,36]. In this regard, several image classification algorithms have been developed and used for mapping LULC changes at a range of spatial scales [37].…”
Section: Introductionmentioning
confidence: 99%
“…Land 2022, 11, 962 2 of 18 pollution, fragmentation and transformation [15][16][17][18][19]. Amid the ever-growing human population and changing climate, encroachment on wetlands is projected to exponentially increase in the near future [20][21][22]. This will further reduce the range of ecosystem services that society derives from these areas.…”
Section: Introductionmentioning
confidence: 99%
“…The information from the previous studies was not robust enough to guide policy or influence management or user decisions. Consequently, wetland encroachment is still high [20] mainly due to the conflict between resource users and conservation policies, which has fueled increased reduction in wetland area and quality. In 1994, Uganda's wetlands covered approximately 15.5% of the country's total land surface [66].…”
Section: Introductionmentioning
confidence: 99%