首页> 外文会议>Earth resources and environmental remote sensing / GIS applications IV >Snow cover and land surface temperature assessment of Gangotri basin in the Indian Himalayan Region (IHR) using MODIS satellite data for climate change inferences
【24h】

Snow cover and land surface temperature assessment of Gangotri basin in the Indian Himalayan Region (IHR) using MODIS satellite data for climate change inferences

机译:利用MODIS卫星数据估算印度喜马拉雅地区(IHR)Gangotri盆地积雪和地表温度的气候变化推论。

获取原文
获取原文并翻译 | 示例

摘要

Climate change has become a cause of concern as well as the challenge of this century. Himalayan mountain ranges with high snow fields and numerous valley glaciers may bear the brunt of such changes already being reported including Intergovernmental Panel on Climate Change (IPCC). Gangotri is one of the most prominent snow-fed catchments of Indian Himalayan Region (IHR) due to origin of river Ganga situated within it. Spatio-temporal changes in snow covered area of this basin were examined for melting seasons of the years 2006 to 2010 and a latest reference year of 2012 as a special test case. Standard snow data products (MOD10A2) of Moderate Resolution Imaging Spectroradiometer (MODIS)-Terra sensor with spatial resolution of 500 m were used. For all the years of reference, snow covered area percentage was derived for respective months representing usual ablation or melting periods. Snow depletion curves (SDCs) were generated for such periods of the respective years. CARTOSAT digital elevation model (DEM) was used for topographic information of terrain. Relationship of SDCs with the land surface temperatures (LST) of the basin was worked upon using MODIS-Terra LST (MOD11A2) product (version 5) with 1 km resolution at 8-day interval for the day time temperature for respective months of above reference years. Thereafter, interpolation and simulation of snow covered areas was carried out on the basis of LST data. The study thus produced snow cover maps for the years of reference as well as their relationship with LST for climate change inferences.
机译:气候变化已成为引起关注和本世纪的挑战。包括政府间气候变化专门委员会(IPCC)在内的已报道的此类变化的首当其冲是喜马拉雅山脉的高雪场和众多山谷冰川。由于印度恒河的起源,甘戈特里是印度喜马拉雅地区(IHR)最著名的积雪集水区之一。作为特殊的测试案例,研究了该盆地积雪区域​​的时空变化,分析了2006年至2010年的融化季节以及2012年的最新参考年份。使用中分辨率成像光谱仪(MODIS)-Terra传感器的标准降雪数据产品(MOD10A2),其空间分辨率为500 m。对于所有参考年份,得出了代表常规消融或融化时期的各个月份的积雪面积百分比。在相应年份的这段时间内生成了降雪曲线(SDC)。 CARTOSAT数字高程模型(DEM)用于获取地形的地形信息。使用上述参考的各个月份的日间温度,以8天为间隔,使用分辨率为1 km的MODIS-Terra LST(MOD11A2)产品(版本5),对SDC与流域的地表温度(LST)的关系进行了研究。年份。此后,根据LST数据对雪域进行插值和模拟。因此,该研究产生了多年的积雪图,以及它们与LST的关系以推断气候变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号