Your search found 18 records
1 Thenkabail, Prasad.; Nolte, C. 1995. Mapping and characterizing inland valley agroecosystems of West and Central Africa: A methodology integrating remote sensing, global positioning system, and ground-truth data in a Geographic Information System framework. Ibadan, Nigeria: IITA. ix, 52p. (Resource and crop management research monograph no.16)
GIS ; Mapping ; Remote sensing ; Satellite surveys ; Land use ; Cropping systems ; Agronomy / West Africa / Central Africa / Africa South of Sahara
(Location: IWMI-HQ Call no: 006 G100 THE Record No: H016815)
2 Thenkabail, Prasad. 2003. The use of remote sensing for the characterization of large river basins: issues pertaining to Challenge Program benchmark basins. [Working Paper] Colombo, Sri Lanka: IWMI. Challenge Program Secretariat. 1 CD.
(Location: IWMI-HQ Call no: CD Col Record No: H033467)
3 Thenkabail, Prasad; Biradar, Chandrashekhar; Turral, Hugh; Schull, Mitchell. 2005. A global map of irrigated area at the end of the last millennium using multi-sensor, time-series satellite sensor data. Oral presentation at Symposium Technical Session, Pecora 16 “Global Priorities in Land Remote Sensing,” Sioux Falls, South Dakota, USA, 23-27 October 2005. 4p.
Maps ; Irrigated sites ; Satellite surveys ; Remote sensing ; Supplementary irrigation ; Water use ; Crop production ; Land use
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 THE Record No: H038114)
4 Thenkabail, Prasad; Biradar, Chandrashekhar; Turral, Hugh; Schull, Mitchell. 2005. A satellite sensor based global map of irrigated areas and products. Paper presented at the 26th Asian Conference on Remote Sensing ACRS2005, Hanoi, Vietnam, 7 November 2005. 5p.
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 THE Record No: H038115)
5 Smakhtin, Vladimir; Thenkabail, Prasad; Gamage Nilantha. 2006. Developing on-line near-real time drought monitoring system for South West Asia. In Savin, I.; Nègre, T. (Eds.). Agro-meteorological monitoring in Russia and Central Asian countries. Ispra (VA), Italy: Institute for the Protection and Security of the Citizen. pp.104-118.
(Location: IWMI-HQ Call no: IWMI 551.5773 G570 SMA Record No: H039068)
(1.28 MB)
6 Thenkabail, Prasad; Biradar, Chandrashekhar; Turral, Hugh; Noojipady, Praveen; Li, Yuanjie; Vithanage, Jagath; Dheeravath, Venkateswarlu; Velpuri, Manohar; Schull, M.; Cai, Xueliang; Dutta, Rishiraj. 2006. An irrigated area map of the world (1999) derived from remote sensing. Colombo, Sri Lanka: International Water Management Institute (IWMI). 65p. (IWMI Research Report 105) [doi: https://doi.org/10.3910/2009.105]
(Location: IWMI-HQ Call no: IWMI 631.7.1 G000 THE Record No: H039270)
(1.57MB)
This document summarizes the materials and methods used to create a series of maps of irrigated areas of the world using remote sensing approaches. These maps are complementary to existing statistics (FAO-Aquastat) and the GISderived maps (FAO/University of Frankfurt Global irrigated area map). The document also provides details of how the estimates of global irrigated areas in one main season (net) and more than one season (intensity or annualized) were derived.
7 Biggs, Trent; Thenkabail, Prasad; Gumma, Murali; Scott, Christopher; Parthasaradhi, G. R.; Turral, Hugh. 2006. Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India. International Journal of Remote Sensing, 27(19):4245-4266.
Irrigated land ; Groundwater irrigation ; Surface irrigation ; Mapping ; River basins ; Time series analysis / India / Krishna Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 BIGG Record No: H039379)
8 Thenkabail, Prasad; Gangadhara Rao, P.; Biggs, Trent; Krishna, M.; Turral, Hugh. 2007. Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets. Photogrammetric Engineering & Remote Sensing, 73(9):1029-1040.
Land use ; Land cover ; Irrigated land ; Time series analysis ; Remote sensing ; Mapping / India / Krishna River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1.1 G635 THE Record No: H039380)
9 Kulawardhana, Wasantha; Thenkabail, Prasad; Masiyandima, Mutsa; Biradar, Chandrashekhar; Vithanage, Jagath; Finlayson, Max; Gunasinghe, Sarath; Alankara, Ranjith. 2006. Evaluation of different methods for delineation of wetlands in Limpopo River Basin using Landsat ETM + and SRTM data. In Proceedings, GlobWetland: Looking at Wetlands from Space, Frascati, Italy, 19-20 October 2006. 4p.
Wetlands ; Mapping ; Remote sensing / South Africa / Mozambique / Zimbabwe / Botswana / Limpopo River Basin
(Location: IWMI-HQ Call no: IWMI 333.918 G000 REB Record No: H039731)
10 Thenkabail, Prasad; Biradar, Chandrashekhar; Noojipady, Praveen; Islam, Aminul; Vithanage, Jagath; Velpuri, Manohar; Dheeravath, Venkateswarlu; Kulawardhana, Wasantha; Jie, Li Yuan; Gunasinghe, Sarath; Alankara, Ranjith. 2006. International Water Management Institute’s Data Storehouse Pathway (IWMIDSP): A unique data and knowledge gateway of spatial data with emphasis on river basins. In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6418, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 6418(64181R):1-6.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 THE Record No: H039738)
11 Biradar, Chandrashekhar; Thenkabail, Prasad; Turral, Hugh; Noojipady, Praveen; Jie, Li Yuan; Velpuri, Manohar; Dheeravath, Venkateswarlu; Vithanage, Jagath; Schull, M.; Cai, X. L.; Gumma, Murali Krishna; Rishiraj, D. 2006. A global map of rainfed cropland areas at the end of last millennium using remote sensing and geospatial techniques. In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6418, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 64181Q. 5p.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 BIR Record No: H039737)
12 Thenkabail, Prasad; Biradar, Chandrashekhar; Noojipady, Praveen; Islam, Aminul; Velpuri, Manohar; Vithanage, Jagath; Kulawardhana, Wasantha; Jie, Li Yuan; Venkateswarlu, Dheeravath; Gunasinghe, Sarath; Alankara, Ranjith. 2006. The spatial data and knowledge gateways at the International Water Management Institute (IWMI) In Li, D.; Xia, L. (Eds.). Geoinformatics 2006: GNSS and Integrated Geospatial applications. Proceedings of SPIE Vol.6421, Wuhan, China, 28-29 October 2006. Bellingham, Washington, USA: SPIE – The International Society for Optical Engineering. 64211Z. 10p.
(Location: IWMI-HQ Call no: IWMI 621.3678 G000 THE Record No: H039739)
13 Kulawardhana, Wasantha; Thenkabail, Prasad; Vithanage, Jagath; Biradar, Chandrashekhar; Islam, Aminul; Gunasinghe, Sarath; Alankara, Ranjith. 2007. Evaluation of the wetland mapping methods using Landsat ETM+ and SRTM data. Journal of Spatial Hydrology, 2. 47p.
Wetlands ; Remote sensing ; Mapping ; River basins / Botswana / Zimbabwe / South Africa / Mozambique / Limpopo River Basin
(Location: IWMI HQ Call no: IWMI 333.918 G178 KUL Record No: H040222)
14 Biggs, Trent; Gaur, Anju; Scott, C.; Thenkabail, Prasad; Gangadhara Rao, Parthasaradhi; Gumma, Murali Krishna; Acharya, Sreedhar; Turral, Hugh. 2007. Closing of the Krishna Basin: irrigation, streamflow depletion and macroscale hydrology. Colombo, Sri Lanka: International Water Management Institute (IWMI). 38p. (IWMI Research Report 111) [doi: https://doi.org/10.3910/2009.111]
River basins ; Physical geography ; Climate ; Stream flow ; Hydrology ; Rainfall runoff relationships ; Evapotranspiration ; Irrigation programs ; Water allocation ; Water transfer ; Environmental effects ; Water quality / India / Krishna River / Andhra Pradesh / Maharashtra / Karnataka
(Location: IWMI HQ Call no: IWMI 551.483 G635 BIG Record No: H040373)
(1.33MB)
Discharge from the Krishna River into the ocean decreased by 75 percent from 1960-2005, and was zero during a recent multi-year drought. This paper describes the physical geography and hydrology of the Krishna Basin, including runoff production and a basic water account based on hydronomic zones. More than 50 percent of the basin's irrigated area is groundwater irrigation, which is not currently included in inter-state allocation rules. Future water allocation will require inclusion of the interactions among all irrigated areas, including those irrigated by groundwater and surface water.
15 Biradar, Chandrashekhar; Thenkabail, Prasad; Islam, Aminul; Anputhas, Markandu; Tharme, Rebecca; Vithanage, Jagath; Alankara, Ranjith; Gunasinghe, Sarath. 2007. Establishing the best spectral bands and timing of imagery for land use-land cover (LULC) class separability using Landsat ETM+ and Terra MODIS data. Canadian Journal of Remote Sensing, 33(5):431-444.
Remote sensing ; Land use ; Land cover mapping ; Irrigated farming ; Irrigation programs / Sri Lanka / Uda Walawe River Basin
(Location: IWMI HQ Call no: IWMI 333.918 G744 BIR Record No: H040453)
16 Nagabhatla, Nidhi; Thenkabail, Prasad. 2008. Re-visioning spatial data and knowledge for sustainable development. ASM Newsletter, 14 February. 2p.
Water resource management ; Land management ; Wetlands ; Mapping ; Remote sensing ; GIS ; Decision support tools
(Location: IWMI HQ Call no: IWMI 621.3678 G000 NAG Record No: H040849)
17 Platonov, Alexander; Thenkabail, Prasad; Biradar, Chandrashekhar M.; Cai, Xueliang; Gumma, Murali Krishna; Dheeravath, Venkateswarlu; Cohen, Y.; Alchanatis, V.; Goldshlager, N.; Ben-Dor, E.; Vithanage, Jagath; Manthrithilake, Herath; Kendjabaev, S.; Isaev, S. 2008. Water productivity mapping (WPM) using Landsat ETM+ data for the irrigated croplands of the Syrdarya River Basin in Central Asia. Sensors, 8:8156-8180.
Water productivity ; Mapping ; Remote sensing ; Water use ; Crops ; Productivity ; Crop yield ; Models ; Evapotranspiration ; Irrigated farming ; River basins / Central Asia / Syr Darya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H041566)
The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce, growing “more crop per drop” (increasing water productivity) becomes crucial for food security of future generations. The study used time-series Landsat ETM+ data to produce WPMs of irrigated crops, with emphasis on cotton in the Galaba study area in the Syrdarya river basin of Central Asia. The WPM methods and protocols using remote sensing data consisted of: (1) crop productivity (ton/ha) maps (CPMs) involving crop type classification, crop yield and biophysical modeling, and extrapolating yield models to larger areas using remotely sensed data; (2) crop water use (m3/ha) maps (WUMs) (or actual seasonal evapotranspiration or actual ET) developed through Simplified Surface Energy Balance (SSEB) model; and (3) water productivity (kg/m3) maps (WPMs) produced by dividing raster layers of CPMs by WUMs. The SSEB model calculated WUMs (actual ET) by multiplying the ET fraction by reference ET. The ET fraction was determined using Landsat thermal imagery by selecting the “hot” pixels (zero ET) and “cold” pixels (maximum ET). The grass reference ET was calculated by FAO Penman-Monteith method using meteorological data. The WPMs for the Galaba study area demonstrated a wide variations (0-0.54 kg/m3) in water productivity of cotton fields with overwhelming proportion (87%) of the area having WP less than 0.30 kg/m3, 11% of the area having WP in range of 0.30-0.36 kg/m3, and only 2% of the area with WP greater than 0.36 kg/m3. These results clearly imply that there are opportunities for significant WP increases in overwhelming proportion of the existing croplands. The areas of low WP are spatially pin-pointed and can be used as focus for WP improvements through better land and water management practices.
18 Smakhtin, Vladimir; Thenkabail, Prasad; Gamage, Nilantha; Weragala, Neelanga. 2005. Drought assessment and monitoring in South Asia using climate and remote sensing data. In Mathur, G. N.; Chawla, A. S. (Eds.). Water for sustainable development - towards innovative solutions: proceedings of the XII World Water Congress, New Delhi, India, 22-25 November 2005. Vol. 3. New Delhi, India: Central Board of Irrigation and Power; Montpellier, France: International Water Resources Association (IWRA). pp.6:97-6:110.
Drought ; Rain ; Assessment ; Monitoring ; Risks ; Indicators ; Remote sensing ; Data ; Indicators / South Asia
(Location: IWMI HQ Call no: 333.91 G000 MAT Record No: H045961)
(1.07 MB)
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