Mapping the spatial distribution of endangered and key species of Khunjerab National park through remote sensing techniques

Ayesha Sikandar
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Abstract

Mapping of the key species of Khunjerab national park is carried out through remote sensing techniques. The methods adopted to carry out this study were Georeferencing, digitization, unsupervised classification for LULC (Land use Land cover), change detection and clipping of heads of key faunal species of Khunjerab National Park. In this study ISO cluster unsupervised classification was used in which four classes (snow, Bare Rocks/Bare Soil, Shadowed Rocks and mixed grasses/pastures) were set to determine the (LULC) of khunjerab national park and the accuracy assessment came out to be 80% which is quite satisfactory. Future perspectives of this study may include the following: Conservation Efforts, Monitoring and Management and Scientific Knowledge. The study contributes to the scientific community's understanding of the biodiversity and ecological dynamics within Khunjerab National Park. It provides valuable data on the distribution and status of key mammalian species, as well as insights into the impact of environmental changes on the park's ecosystem. This study also recommends different conservative approaches to protect the key and endangered mammalian species of Khunjerab national park.
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利用遥感技术绘制红其拉甫国家公园濒危和重点物种的空间分布图
通过遥感技术对红其拉甫国家公园的重点物种进行了测绘。采用地理参考、数字化、土地利用、土地覆被无监督分类、变化检测和红其拉甫国家公园重点动物物种头部剪影等方法进行研究。本研究采用ISO聚类无监督分类方法,设置雪、裸岩/裸土、阴影岩和混合草/牧场4个类别,确定红其拉甫国家公园的LULC,准确率评价达到80%,较为满意。未来的研究方向可能包括:保护工作、监测和管理以及科学知识。该研究有助于科学界对红其拉甫国家公园内生物多样性和生态动态的了解。它提供了有关主要哺乳动物物种分布和状况的宝贵数据,以及对环境变化对公园生态系统影响的见解。本研究还提出了不同的保护措施,以保护红其拉甫国家公园的重点和濒危哺乳动物。
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