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Land Use and Land Cover Changes at Hova Farm in Bindura District, Zimbabwe

机译:津巴布韦丁迪拉区Hova Farm的土地利用和土地覆盖变化

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Land use and land cover (LULC) change analyses are critical for the sustainable planning and management of natural resources in the face of rapid population growth across the globe. It is believed that LULC changes cause severe environmental challenges such as climate change, biodiversity loss, pollution, alteration to the physical and chemical properties of the soil as well as the destruction of the ozone layer. The main objective of the study was to assess the LULC changes at Hova Farm from 1992 to 2011 using geospatial technologies. Three Landsat images for 1992, 2001, and EMT+ for 2011 were used. The Landsat images had a resolution of 30m by 30m. Five LULC classes of woodland, wooded grassland, cultivated land, bushland and water body were created using the supervised classification maximum likelihood in ENVI 5.0. Field observation and measurements were also used to validate remotely sensed data. The accuracy assessment for the classified maps for 1992, 2001 and 2011 was 88.74%, 86, 67% and 87% respectively. The results indicated that the greatest LULC changes occurred between 1992 and 2001 and was attributed to the fast-track land reform programme and illegal mining activities on the farm. The study recommends the creation of a LULC database for the periodic monitoring and sustainable management of natural resources at both local and national levels in Zimbabwean.
机译:土地利用和陆地覆盖(LULC)变更分析对于面全球人口迅速增长面临自然资源的可持续规划和管理至关重要。据信,LULC变化导致严重的环境挑战,如气候变化,生物多样性损失,污染,土壤物理和化学性质的变化以及臭氧层的破坏。该研究的主要目标是使用地理空间技术从1992年到2011年评估Hova Farm的Lulc变化。使用了1992年,2001年的三个Landsat图像和2011年的EMT +。 Landsat图像的分辨率为30米30米。五大林地林地,树木繁茂的草原,耕地,丛林和水体采用了Envi 5.0的监督分类最大可能性。场观察和测量也用于验证远程感测的数据。 1992年1992年,2001和2011年的分类地图的准确性评估分别为88.74%,86,67%和87%。结果表明,1992年至2001年期间最大的LULC变化发生,归因于农场的快速土地改革方案和非法采矿活动。该研究建议在津巴布韦的地方和国家层面建立一个LULC数据库,以获得定期监测和可持续管理自然资源。

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