CHANGE IN LAND USE/LAND COVER USING REMOTELY SENSED IMAGES IN KAFANCHAN AREA OF KADUNA STATE, NIGERIA

H. Mande, A. Olaniyi, Mercy Richard, Bulus Sule, Deborah Abasha
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Abstract

Vegetation cover in Kafanchan has been on the decrease which has suffered more and undue depletion and degradation. This research assessed the change of land use/land cover for the span of 45 years (1988-2023). This study made use of LANDSAT 2, 4, 8 and 8 images of the year 1988, 1998, 2016 and 2023 accordingly. The images were processed using Arcmap 10.3. For the secondary data collection, the area was demarcated into bare land, water bodies, vegetation and built-up areas. The results shows that there has been an increase of built-up areas from 28.19% of the study area in 1988 to 44.73% in 1998 and 45.98% in 2023. Vegetation land use has also shown a decrease from 49.75% in 1988 to 30.54% in 2023. Water bodies decreased from 12.3% in 1988 to 10.92% in 2023. Vegetated land was the most dominant land cover class in the study area but decreased to 28.84% in 1998, and increase from 28.84% in 1998 to 30.54% in 2023 this is supported by the continuous decline of high-end Normalized Difference vegetation index (NDVI) values from 1988 (0.536), 1998 (0.411), 2016 (0.380) and 2023 (0.280) implying that vegetation cover in Kafanchan is steadily being depleted. The applications of RS and GIS will promote better understanding in the monitoring of land use-land cover interactions to aid planning, management and enterprise.
利用遥感图像研究尼日利亚卡杜纳州卡凡昌地区土地利用/土地覆被的变化情况
卡凡昌的植被覆盖率一直在下降,遭受了更多不应有的损耗和退化。本研究评估了 45 年(1988-2023 年)间土地利用/土地植被的变化情况。本研究使用了 1988 年、1998 年、2016 年和 2023 年的 LANDSAT 2、4、8 和 8 图像。图像使用 Arcmap 10.3 进行处理。在收集二手数据时,将区域划分为裸地、水体、植被和建筑区。结果显示,建筑密集区从 1988 年占研究区域的 28.19% 增加到 1998 年的 44.73% 和 2023 年的 45.98%。植被用地也从 1988 年的 49.75% 减少到 2023 年的 30.54%。水体从 1988 年的 12.3% 下降到 2023 年的 10.92%。植被地是研究区域最主要的土地覆被类别,但在 1998 年降至 28.84%,并从 1998 年的 28.84%增至 2023 年的 30.54%,这从高端归一化差异植被指数(NDVI)值从 1988 年(0.536)、1998 年(0.411)、2016 年(0.380)和 2023 年(0.280)的持续下降中得到佐证,意味着卡凡昌的植被正在稳步减少。RS 和 GIS 的应用将有助于更好地了解土地利用与土地植被之间的相互作用,从而帮助规划、管理和企业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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