Metadata Catalogue
Metadata Catalogue (ICIMOD)
Continents, countries, sea regions of the world.
Geological data of Nepal's Gorkha Earthquake 2015 affected area
Large landslide dams are one of the most disastrous natural phenomena in mountainous regions all over the world Such dams are formed most commonly in tectonically active settings where high mountains border narrow and steep valleys and earthquakes occur frequently. Landslide dams are very diverse in terms of their formation, geotechnical characteristics, longevity, stability, and flood hazard. The two major causes of landslide dam formation are precipitation and earthquake. About 50% of dam-forming landslides are brought about by rainstorms and snowmelts, 40% by earthquakes, and 10% by other factors Geometry of valley in relation to geometry and volume of debris and discharge of damming river are some of the factors which are responsible for the development of landslide dams. Schuster et al. (1998) mentioned four groups of governing factors responsible for the spatial distribution of landslide dams. They are i) seismic intensity, ii) slope gradient and topography, iii) lithology and weathering properties, and iv) soil moisture and groundwater content. Landslide dams are generated by various types of mass movements, which range from rock falls and rockslides in steep walled, narrow canyons to earth slumps in flat river lowlands. Managing landslide-dam hazards requires an understanding of the temporal and spatial scales on which such phenomena occur. Many previous works on landslide dams have been mainly descriptive in character, and have produced a multitude of documented case studies and inventories (e.g. Costa and Schuster, 1988; Costa and Schuster, 1991). More recent work is focused on quantitative methods of determining the post-formation development, in particular, the controls on dam longevity.
Season Integrated NDVI (productivity) of grasslands in upper Indus basin
The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.
Weather station data – precipitation and temperature – at Khasadrapchu School in Thimphu, Bhutan (2015-2020)
As part of climate change impact monitoring program on biodiversity, Ugyen Wangchuck Institute for Conservation and Environment Research (UWICER) has initiated HEROES program in 2015. 17 schools covering different altitudinal gradient and geographic region were selected as monitoring sites. In each school, weather station was installed that logs weather data such as temperature, precipitation, solar radiation, soil moisture, wind speed and wind direction every 10 minutes. Also, at the same location, the project monitor and records phenological events and its timing such as budburst, flowering and fruiting on an yearly basis. This dataset consists of daily and monthly temperature and precipitation data for 2015-2020 period derived from weather station data collected at 10 minute interval at Khasadrapchu School in Thimphu, Bhutan.
Whole Indus average data for year 1951 to 1960 for the month of May(Aphrodite)
Average data for Whole Indus from year 1951 to 1960 for the month of May in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.
Whole Indus average data for year 2001 to 2007 for the month of February(Aphrodite)
Average data for Whole Indus from year 2001 to 2007 for the month of February in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.
Whole Indus average data for year 1991 to 2000 for the month of September(Aphrodite)
Average data for Whole Indus from year 1991 to 2000 for the month of September in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.
Business zone of Kathmandu Metropolitian City
Business zone(polyline) dataset of Kathmandu Metropolitian City for the Geo-visualization on emergency response in case of earthquake disaster.
The content of this website can be accessed, printed and downloaded in an unaltered form (altered including being stretched, compressed, coloured or altered in any way so as to distort content from its original proportions or format) with copyright acknowledged, on a temporary basis for personal study that is not for a direct or indirect commercial use and any non-commercial use. Any content printed or downloaded may not be sold, licensed, transferred, copied or reproduced in whole or in part in any manner or in or on any media to any person without the prior written consent of the ICIMOD and Kathmandu Metropolitian City Office.
Telephone lines of Lalitpur Municipality
Telephone line(polyline) dataset of Lalitpur Municipality for the Geo-visualization on emergency response in case of earthquake disaster.
The content of this website can be accessed, printed and downloaded in an unaltered form (altered including being stretched, compressed, coloured or altered in any way so as to distort content from its original proportions or format) with copyright acknowledged, on a temporary basis for personal study that is not for a direct or indirect commercial use and any non-commercial use. Any content printed or downloaded may not be sold, licensed, transferred, copied or reproduced in whole or in part in any manner or in or on any media to any person without the prior written consent of the ICIMOD and Kathmandu Metropolitian City.
District Boundary of Central Karakoram National Park (CKNP), Pakistan.
Digital polygon dataset of District boundary of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is created using topographic sheet maps at scale of 20000.
This is the first inventory of glacial lakes of Bhutan Himalaya. The data is prepared using topographic maps and satellite images of Bhutan.
The accuracy of the Digital Data prepared depends on the base source Data and Maps. No assessment or ground truthing has been carried out on this data. ICIMOD accepts no responsibility for any inaccuracy, errors, or omissions in this data.
Rangelands Decision Support System in Pakistan
Central Department of Geology, Tribhuvan University
Whole Indus average data for year 1971 to 1980 for the month of March(Aphrodite)
Average data for Whole Indus from year 1971 to 1980 for the month of March in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.
Hillshade of Kayar Khola Watershed, Chitwan Nepal
Digital grid data of Hill-shade of Kayar Khola Watershed, Chitwan, Nepal. This dataset is created using Topographic sheet data at scale of 25,000/50,000, of 1995 acquired from National Geographic Information Infrastructure Project (NGIIP), Dept. of Survey, Kathmandu, Nepal. The data was prepared for the Reducing Emission from Deforestation and Forest Degradation (REDD) Pilot Project. This is a joint project of ICIMOD with Asian Network for Sustainable Agriculture and Bio-resources (ANSAB) and Federation of Community for Forest Users of Nepal (FECOFUN) funded by NORAD.
The content of this website can be accessed, printed and downloaded in an unaltered form (altered including being stretched, compressed, coloured or altered in any way so as to distort content from its original proportions or format) with copyright acknowledged, on a temporary basis for personal study that is not for a direct or indirect commercial use and any non-commercial use. Any content printed or downloaded may not be sold, licensed, transferred, copied or reproduced in whole or in part in any manner or in or on any media to any person without the prior written consent of the ICIMOD
The accuracy of the Digital Data prepared depends on the base source Data and Maps. No assessment or ground truthing has been carried out on this data.