Larbi Isaac
School of Sustainable Development, University of Environment and Sustainable Development, Somanya, Ghana.
Heliyon. 2023 Mar 24;9(4):e14859. doi: 10.1016/j.heliyon.2023.e14859. eCollection 2023 Apr.
The changes in land use and land cover (LULC) contribute to carbon emissions that lead to climate change and global warming. Obtaining information on LULC change is of necessity to ensure land transformation planning, and anthropogenic and natural impact evaluation. The objective of this study is to analyze the historical changes in LULC in the Tano River Basin of Ghana, to provide scientific information for decision-making on achieving sustainable development. A supervised classification of Landsat images (1986, 2010, and 2020) using the Random Forest algorithm was performed, as well as a post-classification comparison of LULC maps in terms of area and size. A "from-to" matrix was used to identify the changes in LULC that occurred between the periods 1986-2010, 2010-2020, and 1986-2020. The results show an overall classification accuracy of 88.9, 88.5, and 88% for LULC maps for the years 1986, 2010, and 2020, respectively. Between the period 1986 and 2020, there is a conversion of the greater part of dense forest to open forest, and subsequently to settlement and cropland as a major historical LULC change pattern in the Tano basin. Cropland and Settlement increased at the rate of 24.8 km/yr and 1.5 km/yr respectively, while Dense forest and Open forest decreased at the rate of 298.4 km/yr and 173.9 km/yr over the period 1986 to 2020. The study outputs are not only useful for formulating and implementing national policies and programs but also, can contribute to assessing and monitoring progress towards attaining Sustainable Development Goal 13 (climate action).
土地利用和土地覆盖(LULC)的变化会导致碳排放,进而引发气候变化和全球变暖。获取LULC变化信息对于确保土地转型规划以及人为和自然影响评估至关重要。本研究的目的是分析加纳塔诺河流域LULC的历史变化,为实现可持续发展的决策提供科学依据。利用随机森林算法对Landsat影像(1986年、2010年和2020年)进行了监督分类,并对LULC地图在面积和大小方面进行了分类后比较。使用“从-到”矩阵来识别1986 - 2010年、2010 - 2020年和1986 - 2020年期间发生的LULC变化。结果表明,1986年、2010年和2020年LULC地图的总体分类精度分别为88.9%、88.5%和88%。在1986年至2020年期间,塔诺河流域主要的历史LULC变化模式是大部分茂密森林转变为开阔森林,随后转变为定居点和农田。在1986年至2020年期间,农田和定居点分别以每年24.8平方公里和1.5平方公里的速度增加,而茂密森林和开阔森林分别以每年298.4平方公里和173.9平方公里的速度减少。该研究成果不仅有助于制定和实施国家政策与计划,并有助于评估和监测实现可持续发展目标13(气候行动)的进展情况。