Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed DOI Creative Commons
Akil V. Memon, Nirav R. Shah,

Yogesh Patel

и другие.

E3S Web of Conferences, Год журнала: 2024, Номер 596, С. 01003 - 01003

Опубликована: Янв. 1, 2024

This study investigates land cover/land use (LULC) changes within the Panam River Watershed between 2011 and 2023. Leveraging freely available Landsat imagery geospatial technologies like remote sensing GIS, research analyzes four LULC classes: settlement, waterbodies, agricultural land, wasteland. A supervised classification approach using Support Vector Machines (SVM) ArcGIS software is employed to detect cover for both years. The analysis reveals significant over twelve-year period. Settlements wastelands experienced increases of 2.3% 9%, respectively. Conversely, waterbodies exhibited declines 1.95% 9.38%, observed increase in settlements wastelands, coupled with decrease raises concerns about potential environmental raise important considerations sustainable management practices.

Язык: Английский

Impacts of land Use/land cover dynamics on ecosystem services in Jimma Rare District, Western Ethiopia DOI Creative Commons

Gamachu Wayesa,

Moges Kidane,

Terefe Tolessa

и другие.

Sustainable Environment, Год журнала: 2024, Номер 11(1)

Опубликована: Дек. 12, 2024

Land use/land cover (LULC) change is one of the most important environmental phenomena that have affected earth's system and its ecosystem services. This study was conducted to assess impacts LULC on services in Jimma Rare district for over four decades (1974–2019). To understand spatial temporal changes LULC, a four-time period satellite images (1974, 1991, 2005, 2019) were obtained. In addition, respondent interviews, focus group discussions (FGD) field observations employed identify drivers land use changes. Moreover, service value coefficients developed at global level used provision area. The showed grassland decreased from 4518.87 ha (13.09%) 902.42 (2.61%), forest 3287.79 (9.52%) 2506.63 (7.26%) wetlands 1182.08 (3.42%) 562.37 (1.63%) period. remarkable expansion cultivated settlement area occurred 1974 1991. total reduced 662.75 million $/ha/yr 577.03 period, indicating impact values. From this study, it possible conclude District has experienced significant past 45 years. Hence, appropriate policy packages are required curb such vital thereby enhancing sustainable flow district.

Язык: Английский

Процитировано

1
Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed DOI Creative Commons
Akil V. Memon, Nirav R. Shah,

Yogesh Patel

и другие.

E3S Web of Conferences, Год журнала: 2024, Номер 596, С. 01003 - 01003

Опубликована: Янв. 1, 2024

This study investigates land cover/land use (LULC) changes within the Panam River Watershed between 2011 and 2023. Leveraging freely available Landsat imagery geospatial technologies like remote sensing GIS, research analyzes four LULC classes: settlement, waterbodies, agricultural land, wasteland. A supervised classification approach using Support Vector Machines (SVM) ArcGIS software is employed to detect cover for both years. The analysis reveals significant over twelve-year period. Settlements wastelands experienced increases of 2.3% 9%, respectively. Conversely, waterbodies exhibited declines 1.95% 9.38%, observed increase in settlements wastelands, coupled with decrease raises concerns about potential environmental raise important considerations sustainable management practices.

Язык: Английский

Процитировано

0