Remote Sensing and GIS

Technology is starting to fill in the blanks in the scientific record for the Hindu Kush Himalayas, whose size and remoteness has served in the past as a major obstacle to data collection. 

Remote sensing technologies are providing new data sets and spatially referenced information to help scientists, development planners and policymakers make informed decisions. From forecasts about crop yields, impending droughts and natural disasters to observations of forest growth patterns and the dynamics of snow and water, the range of topics that benefit from being analysed and modelled visually is vast.  

ICIMOD is internationally regarded as a regional resource centre for geo-information and earth observation applications with a mountain focus. Over the past two decades, we have developed and shared remote sensing and geographic information systems to assist decision-making at many levels. Within our own areas of focus, such as trans-boundary landscape conservation and river basin management, geospatial science is used to expand knowledge of scientific and socio-ecological challenges and ensure that programmes are informed by the latest and most extensive data.

Stories

Datasets

Digital polygon data of Status of Glaciers in Hindu Kush Himalayan (HKH) Region during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. The attribute data were assigned to each glacier using 90m resolution SRTM DEM. Source: ICIMOD and CAREERI (data for the Chinese part of the HKH region is a product of a national project of the Ministry of Science and Technology of China (Grant no. 2006FY110200))


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Digital polygon data of Glaciers of Nepal in 2010. This dataset is created using Landsat TM, ETM+ imageries of 2010. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 2000. This dataset is created using Landsat MSS, TM imageries of 2000. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 1990. This dataset is created using Landsat MSS, TM imageries of 1990. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 1980. This dataset is created using Landsat MSS, imageries of 1980. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Bhutan in 1990. This dataset is created using Landsat MSS, imageries of 1990. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Bhutan in 1980. This dataset is created using Landsat MSS imageries of 1980. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Bhutan in 2000. This dataset is created using Landsat TM and ETM+, imageries of 2000. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Bhutan in 1980, 1990, 2000 and 2010. This dataset is created using Landsat MSS, TM and ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glacier area inventory of 1980, 1990, 2000 and 2010 of Nepal. This dataset is created using Landsat MSS,TM and ETM+ imageries of four respective decades. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. Moreover, the glacier outlines for 2000, 1990 and 1980 were derived manually modifying the glacier outlines of 2010 by overlaying separately the images of respective decades.


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