利用遥感和地理信息系统技术评估土地利用和土地覆被的变化:克什米尔山谷案例研究

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Injila Hamid, Lateef Ahmad Dar, Bertug Akintug
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引用次数: 0

摘要

土地利用、土地覆被 (LULC) 的变化会极大地影响生态系统的生态平衡,对居民造成不利影响,使他们更容易受到自然灾害的影响。因此,开展土地利用、土地覆被变化研究,分析这些变化对一个地区整体生态的影响,对制定政策和妥善管理现有自然资源非常有帮助。在这项研究中,利用从美国地质调查局/美国国家航空航天局的 Landsat 资源库中获得的遥感卫星数据,对克什米尔山谷从 1992 年到 2020 年三十年间的土地利用和土地覆被变化进行了监测。在过去三十年中,土地利用、土地利用变化和土地利用变化模式发生了显著变化,水(18.21%)、森林(13.56%)、雪/冰川覆盖(29.32%)和农业(22.37%)覆盖面积大幅减少。与此同时,城市地区(22.33%)、贫瘠土地(37.32%)、种植园(14.53%)和沼泽(13.21%)覆盖的土地面积也有所扩大。计算得出的归一化差异水指数(NDWI)证实,研究区域的水和冰川覆盖面积总体减少了 51.1%。森林、水域和冰川覆盖形式的显著变化,转变为城市、沼泽和贫瘠地区,这在很大程度上归因于人类干预的增加,可能会对环境造成严重影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing land use land cover change using remote sensing and GIS techniques: A case study of Kashmir Valley

Assessing land use land cover change using remote sensing and GIS techniques: A case study of Kashmir Valley

Land use land cover (LULC) changes hugely influence the ecological balance of an ecosystem, which adversely affects the inhabitants, making them more vulnerable to natural calamities. The LULC change studies are therefore carried out to analyze the impact of these changes on the overall ecology of an area and are very helpful in policy framing and proper management of the available natural resources. In this study, changes in the land use and land cover for a three-decade period spanning from 1992 to 2020 have been monitored in the valley of Kashmir using remotely sensed satellite data obtained from USGS/NASA’s Landsat repository. Considerable changes in the LULC patterns were observed with a significant reduction in the area covered by water (18.21%), forest (13.56%), snow/glacial cover (29.32%) and agriculture (22.37%) during the past three decades. Concurrently, expansion in the land covered by urban areas (22.33%), barren land (37.32%), plantation (14.53%) and marshes (13.21%) were noted. The calculated Normalized Difference Water Index (NDWI) confirmed an overall reduction of 51.1% in the water and glacial cover of the study area. Significant changes in the form of forest, water and glacial cover transforming into urban, marshy and barren areas can be largely accredited to increased human interference that may have serious repercussions on the environment.

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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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