Global Water Information through Spatial Data
and Knowledge gateways @ IWMI
Water Use Trends over Space and Time through
Global Maps, Statistics, and Models
The overarching goal of the Global Water Information is to produce a series of global water and water related maps, models, and statistics over space and time and link this information to climate change. The central idea is to develop a state-of-art global water information center (GWIC) that will study water use trends of the past, present, and the future and help us understand linkages between water use, land utilization for purposes such as irrigation, population growth, environmental demands, and sustainable growth. Overwhelming emphasis will be placed on use of spatial data from remote sensing and GIS (RS\GIS). read more...
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This is the version 2.0 release (update; as of May 10, 2007) of the International Water Management Institute's (IWMI's) Global irrigated area map (GIAM) and associated products and data.
The GIAM products are produced using time-series data of: (a) AVHRR 10-km monthly from 1997-1999, (b) SPOT 1-km monthly for 1999, (c) GTOPO30 1-km elevation, (d) CRU 50-km grid monthly precipitation from 1961-2000, (e) AVHRR derived 1-km forest cover, and (f) AVHRR 10-km skin temperature. In addition JERS SAR data was used for the African and South American rainforests.
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The IWMI's Global Map of Rainfed Cropland Areas (GMRCA) is a by-product derived when working on IWMI's Global Map of Irrigated Areas (GMIA).
The datasets approaches, and methods used to produce GMRCA are, to a great extent, similar to producing GIAM. Thereby, we refer the reader to
detailed documentation on GIAM made available in this web site.
The Global Rainfed Croplands were estimated at 1.132 billion hectares at the end of the last millennium,
from the GMRCA products (Biradar et al., 2007). This is 2.78 times the TAAI or net irrigated areas (407 Mha)
of the World. The GMRCA area provided here is for the June-October period only. Like, GMIA it is possible to
estimate seasonal Global Rainfed Cropland areas using the products and methods developed in this study. However,
double crop rainfed is considered negligible.
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IWMI's Data Storehouse Pathway (DSP) provides several terabytes of high scientific quality remote sensing
and GIS products that are available through an online application. The site has more than 3,000 registered
users from more than 80 countries.
The Remote Sensing and Geographic Information System (GIS) Unit (RS GIS Unit) of the International Water
Management Institute (IWMI), is a centralized facility for all spatial data related activities of IWMI at
the headquarters in Sri Lanka and Regional Offices located in different parts of the world.
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The TSDC online data sharing platform supports information exchange for Tsunami related rehabilitation and reconstruction efforts. It is intended as a platform to provide easy access to most of the available satellite remote sensing data for the affected region. Much of the initial data currently available on this site has been provided by NASA, USGS, and individual commercial vendors in response to the Tsunami disaster. The CGIAR-CSI has developed this site as part of it Tsunami Data Sharing Platform. This site is provided by the International Water Management Institute (IWMI), in Colombo, Sri Lanka. Many thanks to CGNET in Palo Alto for donating the server, the bandwidth, and hosting this site; and to the CGIAR ICT-KM Program, IWMI, and the International Plant Genetic Resources Institute (IPGRI) for providing funding and support.
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The International Water Management Institute (IWMI) has embarked on Global wetland Mapping project (GWMP) using remote sensing and secondary data. The overarching goal of the GWMP is to map, characterize, and classify the wetlands of the world at various scales or pixel resolutions through a wide range of partnerships including the Ramsar Convention. Given the complexity and costs involved in mapping vast areas, necessity for developing methods using freely available data was identified as a top priority.
Within this context, research work was carried out to develop a methodology for mapping wetlands using freely available High-resolution Landsat ETM+ 30m Geocover and SRTM 90-m data. In our first attempts Landsat Geocover and the SRTM data, both having global coverage, were selected so the methods developed at one location can be applied elsewhere.
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