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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Land cover assessment in Jammu & Kashmir using phenology as discriminant -An approach of wide swath satellite (IRS-WiFS)
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Land cover assessment in Jammu & Kashmir using phenology as discriminant -An approach of wide swath satellite (IRS-WiFS)

机译：以物候学为判别标准的查mu和克什米尔土地覆盖评估-宽幅卫星法（IRS-WiFS）

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Climatic and seasonal variations guide the change in the internal features of vegetation and thus the vegetation mapping. A correlation between the vegetation units and the normalized difference vegetation index (NDVI) is established and the spatial distribution of phenology and seasonal distribution is deduced for mapping. High amount of spectral variability contributed by phenological phases made us generate a large number of clusters to distinguish features. The study has significance in the light of national development needs vis-il-vis advancement expected in the future indigenous and international remote sensing missions. The study suggests that multi-date data consider the variability and enables us to delineate the land use and land cover pattern of Jammu & Kashmir. The regional phyto-phenological classified map provides details on vegetation stratum. They can be an excellent source of data for understanding the land dynamic processes and human interventions in the region. The map derived can delineate finer, the biogeographical zones.
机译：气候和季节变化指导植被内部特征的变化，从而指导植被映射。建立了植被单位与归一化植被指数（NDVI）之间的相关性，并推导了物候和季节分布的空间分布以进行制图。物候期造成的大量光谱变异性使我们产生了大量的聚类以区分特征。鉴于国家发展需求与未来的土著和国际遥感任务所预期的进展相比，这项研究具有重要意义。研究表明，多日期数据考虑了变异性，使我们能够描述查Jam和克什米尔地区的土地利用和土地覆盖格局。区域植物物候分类地图提供了植被地层的详细信息。它们可以作为了解该地区土地动态过程和人为干预的极好数据来源。得出的地图可以描绘出更精细的生物地理区域。

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