生态系统保护与生物多样性保护:地理空间技术方法

S. Ogunlade
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引用次数: 1

摘要

利用地理空间技术方法保护生态系统和生物多样性是本研究的目的。该频道利用卫星遥感和地理信息系统技术监测尼日利亚阿库雷联邦科技大学在2002年至2018年期间的空间变化。Landsat 7 Enhanced Thematic Mapper (ETM) plus(2002年)、Landsat 8 Operational Land成像仪(OLI)和热红外传感器(TIRS)(2014年和2018年)的卫星图像均为32m分辨率。使用ArcGIS 10.3软件对图像进行监督最大似然分类处理。为了验证分类并确保高准确性,使用来自google earth参考图像的每个卫星图像上的60个点的训练样本,结合实际访问研究区域收集的地面数据,进行准确性评估,以验证现场存在的真实土地覆盖类型。所得的图像被认为适合分析,分为建筑,厚植被,轻植被和裸地,土地覆盖类。利用Microsoft Excel电子表格进行土地覆盖面积计算,识别土地覆盖动态和空间扩展。结果显示:堆积(13.58%、14.59%、20.75%);植被茂密(33.78%、26.26%、12.18%);轻植被(24.57%、32.29%、30.51%);裸地占28.08%,26.26%,36.56%。特别关注的是(厚的和轻的)植被的普遍损耗,其中树木是一个主要因素。这些损耗被归因于其他土地覆盖类别通过重点土地利用的积极转变。研究得出结论,绿色生态系统中树木的改变、枯竭和随之消失对环境的可持续性、生态系统的保护和生物多样性的保存构成威胁。该研究建议将该研究作为控制树木和茂密森林的砍伐,种植更多树木和植物等因素的工具,以保护生态系统和保护生物多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protection of Ecosystem and Preservation of Biodiversity: The Geospatial Technology Approach
he protection of ecosystem and preservation of biodiversity through the approach of geospatial technology was the aim of this research. The channel was monitoring the spatial transformation of the Federal University of Technology, Akure, Nigeria between year 2002 and year 2018 using Satellite Remote Sensing and Geographical Information System techniques. Landsat 7 Enhanced Thematic Mapper (ETM) plus of year 2002, Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) of year 2014 and year 2018 all of 32m resolution were the satellite images obtained for the study. These images were processed with supervised maximum likelihood classification algorithm using ArcGIS 10.3 software. To validate the classification and ensure high accuracy, an accuracy assessment was performed using training samples from 60 points on each of the satellite imagery on a reference image from google earth combined with ground data collected on actual visitation to the study area to verify the true land-cover type existing on the site. The resultant images deemed fit for analyses were classified into built-up, thick vegetation, light vegetation and bare land, land cover classes. Microsoft Excel spreadsheet was used to perform land cover area calculations through which the land cover dynamics and the spatial expansion were identified. The result showed built-up (13.58%, 14.59%, 20.75%); thick vegetation (33.78%, 26.26%, 12.18%); Light vegetation (24.57%, 32.29%, 30.51%); Bare land (28.08%, 26.26%, 36.56%) for the three years respectively. A special focus was put on the general depletion of the (thick and light) vegetation of which trees are a major actor. These depletion were adduced to the positive transformation of other land cover classes through the underlining landuse. The study concluded that alteration, depletion and consequent disappearance of trees in the green ecosystem is a threat to environment’s sustainability and the protection of ecosystem and preservation of biodiversity. The study recommended the research as a tool to controlling the removal of trees and thick forest, growing more trees and plants among other factors to protect ecosystem and preserve biodiversity.
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