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Snow is a significant component of the ecosystem and water resources in the Hindu Kush Himalaya (HKH). Snow monitoring is therefore a crucial component for water resource management and economic development. However, it is not possible to carry out field-based measurement for snow cover area due to its vast area coverage, so remote-sensing data are widely used for mapping and monitoring snow cover extent across the globe.
This is where Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data are instrumental in understanding snow cover change and trends; it allows climate scientists to examine and scrutinize changes in snow cover and the influence of climate change. Using Terra and Aqua MODIS snow cover data, ICIMOD scientists have developed a new method to improve interpretation of snow cover data in the region that for the first time allows users and researchers to better understand snow dynamics. This is presented in an article published on Earth System Science Data. The article also shows that use of this modified application improves the interpretation of snow cover data, greatly reducing chances of overestimation of snow cover area (since snow and cloud appear similar in satellite images), which used to be the main issue in the original snow cover data readings.
The methodology uses satellite images from Terra and Aqua MODIS eight-day snow cover combined with Randolph Glacier Inventory (RGI) for the HKH and allows further scrutiny to validate and improve data accuracy by 50%. It uses a multi-step approach – seasonal, temporal, and spatial filters to remove underestimation and combining aqua and terra snow cover products to reduce overestimation. The final result is 99.98% cloud-free, reducing 46% overestimation and 3.66% underestimation.
With the release of this product – called MOYDGL06* – it is now possible for scientists to get accurate measurements of snow cover in the HKH. It could have wider applications as well.
The improved snow data for High Mountain Asia covers the MODIS observation period between 2002 and 2018. The product is available for free download on ICIMOD’s Regional Database System. The authors – Sher Muhammad, Remote Sensing Specialist, and Amrit Thapa, RS & Geoinformation Research Analyst – believe that the products can be used as a standard reference by those working in hydrology, hydro-glaciology, or any study on the High Mountain Asia requiring snow or glaciers as input data.
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距人类首登世界之巅已70年,而气候紧急情况发生在此:在兴都库什-喜马拉雅区域内,三分之二的冰川预计将在本世纪末消失。 领先的山地机构国际山地综合发展中心(ICIMOD)、尼泊尔登山协会(NMA)和山区伙伴关系(Mountain Partnership) 呼吁全世界来拯救地球上的冰雪,以避免为时过晚。 #“拯救我们的雪”宣言在最初48小时内就收集到1000多个签名,其中包括新西兰前总理、各国外交官、传奇登山者和著名地球科学家。 尼泊尔加德满都讯(2023 年 5 月 29 日)——七十年前的今天,在埃德蒙·希拉里爵士和丹增·诺尔盖首次登上珠峰 ; 70 年后的今天,地球上最高的山峰正在经历由全球变暖引起的前所未有且基本不可逆的变化。 全球变暖正在危及珠峰与兴都库什-喜马拉雅地区的环境,该地区横跨八个国家,约长3500公里。根据目前的排放情况,科学家预计在未来70年内,该地区三分之二的冰川或将消融。 国际山地综合发展中心(ICIMOD)在包括 尼泊尔登山协会 和 山区伙伴关系(联合国自愿伙伴联盟)在内的全球山地机构的支持下,呼吁公众支持 #拯救我们的雪(#SaveOurSnow)运动。该运动要求公众: 在社交平台分享来自世界各地山区的故事和照片,使用#SaveOurSnow 标签 强调气候影响; 在网址 icimod.org/saveoursnow/declaration/ 签署一份宣言,呼吁各国政府兑现将升温限制在 1.5 ...
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