A joint development initiative of the United States Agency for International Development (USAID) and the National Aeronautics and Space Administration (NASA), SERVIR works in partnership with leading regional organizations worldwide to help developing countries use information provided by earth observing satellites and geospatial technologies for managing climate risks and land use. SERVIR empowers decision-makers with tools, products, and services to act locally on climate-sensitive issues such as disasters, agriculture, water, and ecosystems and land use. SERVIR is improving awareness, increasing access to information and supporting analysis to help people in Africa, the Hindu Kush Himalaya (HKH), the Lower Mekong, and Mesoamerica manage challenges in the areas of food security, water resources, land use change, and natural disasters.
Forests play a vital role in combating climate change and mitigating its effects. In Nepal,...
READ MOREThe American Geophysical Union (AGU) meeting is the largest earth and space science meeting that...
READ MOREThe United Nations World Food Programme (WFP) and the International Centre for Integrated Mountain Development...
READ MOREThe International Centre for Integrated Mountain Development (ICIMOD) hosted a meeting to facilitate the implementation...
READ MOREThe training will feature theoretical discussions and hands-on basic processing procedures using data sets from active radar systems to show the limitations and error sources of each processing technique. Participants will extract information from the original SAR observations and integrate SAR data into a Geographic Information System (GIS). Algorithms and scripts on parameteric and non-parameteric models will be shared with participants.
READ MOREICIMOD, in collaboration with the Flood Forecasting and Warning Center, Bangladesh Water Development Board, is organizing a workshop to present progress and receive feedback on the design of information systems for individual partners.
READ MOREICIMOD and CIMMYT–Bangladesh, in collaboration with BARC, will conduct a five-day training workshop on the use of satellite data products for drought monitoring under the USAID-funded SERVIR–Hindu Kush Himalaya (SERVIR–HKH) initiative and the Climate Services for Resilient Development (CSRD) in South Asia partnership.
READ MOREGoogle’s GEE platform can be used for large- and small-scale scientific analysis and visualization of geospatial datasets. It stores, organizes, and provides access to a wide variety of satellite imageries and geospatial datasets, and offers global-scale environmental data analysis capabilities.
READ MOREThe main objective of SERVIR activities in Afghanistan is to provide technical assistance to the Government of Islamic Republic of Afghanistan (GIRoA) by improving the use of technology in water resources, agriculture water use and irrigation management and decision making. The activities are aligned With Strengthening Watershed And Irrigation Management (SWIM) proposal to provide capacity building and technical assistance to improve intra-GIRoA collaboration in natural resource management and to generate useful climatic and hydrographic information, particularly water resources. ICIMOD will collaborate with the SWIM project team (once it is in place) to build synergies in these efforts.
Training and capacity building are integral parts of the SERVIR-HKH initiative. The initiative organizes trainings in the development and use of science applications for partner institutions and end users to maximize the benefit of Earth observation information and geospatial technology in the region. The initiative provides technical support and conducts customized trainings and shares opportunities according to the need of its regional partners.
The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.
The dataset is part of phenometrics produced using time series MODIS 13 Q1 data throught Timesat algorithms.
Digital polygon data of Glaciers of Nepal in 2010. This dataset is created using Landsat TM, ETM+ imageries of 2010. The...