Your search found 17 records
1 Chemin, Y.; Platonov, Alexander; Abdullaev, Iskandar; Ul-Hassan, Mehmood. 2005. Supplementing farm-level water productivity assessment by remote sensing in transition economies. Water International, 30(4):513-521.
Irrigation management ; Productivity ; Assessment ; Remote sensing ; GIS ; Cotton ; Evapotranspiration / Uzbekistan / Ferghana Valley / Aral Sea Basin / Kuva District / Amu-Darya / Syr-Darya
(Location: IWMI-HQ Call no: IWMI 631.7.1 G782 CHE Record No: H037629)
https://vlibrary.iwmi.org/pdf/H037629.pdf

2 Chemin, Y.; Platonov, Alexander; Ul-Hassan, Mehmood; Abdullaev, Iskander. 2004. Using remote sensing data for water depletion assessment at administrative and Irrigation-system levels: case study of the Ferghana Province of Uzbekistan. Agricultural Water Management, 64(3):183-196.
Remote sensing ; Satellite surveys ; Water management ; Water shortage ; Evapotranspiration ; Irrigation systems ; Performance indexes / Uzbekistan / Ferghana Valley / Syr-Darya
(Location: IWMI-HQ Call no: PER Record No: H033951)
https://vlibrary.iwmi.org/pdf/H033951.pdf

3 Platonov, Alexander. 2007. Enabling communities in the Aral Sea Basin to combat land and water resources degradation through the creation of ‘bright’ spots. Bi-annual report on component 2.5 of the Project, ‘Assessing salinity using RS/GIS and basin-wide water-salt management,’ during year 2007. 2p.
Water resource management ; Groundwater ; Soil salinity / Central Asia / Aral Sea / Syr Darya Province / Bayaut District
(Location: IWMI HQ Call no: IWMI 333.9163 G770 PLA Record No: H040661)
https://publications.iwmi.org/pdf/H040661.pdf
(614.37 KB)

4 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)
https://vlibrary.iwmi.org/pdf/H041566.pdf
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.

5 Biradar, C. M.; Thenkabail, Prasad S.; Platonov, Alexander; Xiao, X.; Geerken, R.; Noojipady, P.; Turral, H.; Vithanage, Jagath. 2008. Water productivity mapping methods using remote sensing. Journal of Applied Remote Sensing, 2(1):023544. 22p. (Published online only)
Water productivity ; Mapping ; Remote sensing ; Vegetation index ; Evapotranspiration ; Wheat ; Rice ; Cotton ; Irrigated farming / Central Asia / Syr Darya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H041669)
https://vlibrary.iwmi.org/pdf/H041669.pdf
The goal of this paper was to develop methods and protocols for water productivity mapping (WPM) using remote sensing data at multiple resolutions and scales in conjunction with field-plot data. The methods and protocols involved three broad categories: (a) Crop Productivity Mapping (CPM) (kg/m2); (b) Water Use (evapotranspiration) Mapping (WUM)(m3/m2); and (c) Water Productivity Mapping (WPM) (kg/m3). First, the CPMs were determined using remote sensing by: (i) Mapping crop types; (ii) modeling crop yield; and (iii) extrapolating models to larger areas. Second, WUM were derived using the Simplified Surface Energy Balance (SSEB) model. Finally, WPMs were produced by dividing CPMs and WUMs. The paper used data from Quickbird 2.44m, Indian Remote Sensing (IRS) Resoursesat-1 23.5m, Landsat-7 30m, and Moderate Resolution Imaging Spectroradiometer (MODIS) 250m and 500m, to demonstrate the methods for mapping water productivity (WP). In terms of physical water productivity (kilogram of yield produced per unit of water delivered), wheat crop had highest water productivity of 0.60 kg/m3 (WP), followed by rice with 0.5 kg/m3, and cotton with 0.42 kg/m3. In terms of economic value (dollar per unit of water delivered), cotton ranked highest at $ 0.5/m3 followed by wheat with $ 0.33/m3 and rice at $ 0.10/m3. The study successfully delineated the areas of low and high WP. An overwhelming proportion (50+%) of the irrigated areas were under low WP for all crops with nly about 10% area in high WP.

6 Cai, Xueliang; Thenkabail, P. S.; Biradar, C. M.; Platonov, Alexander; Gumma, Murali Krishna; Dheeravath, V.; Cohen, Y.; Goldlshleger, F.; Ben-Dor, E.; Alchanatis, V.; Vithanage, Jagath; Anputhas, Markandu. 2009. Water productivity mapping using remote sensing data of various resolutions to support more crop per drop. Journal of Applied Remote Sensing, 3(033557). 23p. [doi: https://doi.org/10.1117/1.3257643]
Water productivity ; Crops ; Water use ; Evapotranspiration ; Mapping ; Remote sensing ; Models / Central Asia / Kyrgyzstan / Tajikistan / Uzbekistan / Kazakhstan / Syr Darya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H042408)
https://vlibrary.iwmi.org/pdf/H042408.pdf
(4.07 MB)
The overarching goal of this research was to map crop water productivity using satellite sensor data at various spectral, spatial, radiometric, and temporal resolutions involving: (a) Moderate Resolution Imaging Spectroradiometer (MODIS) 500m, (b) MODIS 250m, (c) Landsat enhanced thematic mapper plus (ETM+) 60m thermal, (d) Indian Remote Sensing Satellite (IRS) 23.5 m, and (e) Quickbird 2.44 m data. The spectro-biophysical models were developed using IRS and Quickbird satellite data for wet biomass, dry biomass, leaf area index, and grain yield for 5 crops: (a) cotton, (b) maize, (c) winter wheat, (d) rice, and (e) alfalfa in the Sry Darya basin, Central Asia. Crop-specific productivity maps were developed by applying the best spectro-biophysical models for the respective delineated crop types. Water use maps were produced using simplified surface energy balance (SSEB) model by multiplying evaporative fraction derived from Landsat ETM+ thermal data by potential ET. The water productivity (WP) maps were then derived by dividing the crop productivity maps by water use maps. The results of cotton crop, an overwhelmingly predominant crop in Central Asian Study area, showed that about 55% area had low WP of < 0.3 kg/m3, 34% had moderate WP of 0.3-0.4 kg/m3, and only 11% area had high WP > 0.4 kg/m3. The trends were similar for other crops. These results indicated that there is highly significant scope to increase WP (to grow "more crop per drop") through better water and cropland management practices in the low WP areas, which will substantially enhance food security of the ballooning populations without having to increase: (a) cropland areas, and\or (b) irrigation water allocations.

7 Dukhovny, V.; Mukhamedjanov, S.; Manthrithilake, Herath; Averina, L.; Kazbekov, Jusipbek; Platonov, Alexander; Ruziyev, I.; Umirzakov, G.; Sagdullayev, R. 2010. Innovative partnership: on the way to water productivity improvement. Tashkent, Uzbekistan: International Water Management Institute (IWMI); Tashkent, Uzbekistan: Water Productivity Improvement at Pilot Level Project (WPI-PL); Tashkent, Uzbekistan: Scientific Information Center (SICwc). 119p.
Irrigation programs ; Water productivity ; Water use efficiency ; Evaluation ; Irrigation water ; Appropriate technology ; Training ; Farmers attitudes ; Cotton ; Wheat ; Maize ; Production costs ; Economic aspects ; Indicators ; Water user associations / Kyrgyzstan / Uzbekistan / Tajikistan / Central Asia / Fergana canal / Osh / Kaiyrma Canal / Aravan District / Karasui District
(Location: IWMI HQ Call no: IWMI 631.7.8 G782 DUK Record No: H043297)
http://vlibrary.iwmi.org/pdf/H043297_TOC.pdf

8 Dukhovny, V.; Mukhamedjanov, S.; Manthrithilake, Herath; Averina, L.; Kazbekov, Jusipbek; Platonov, Alexander; Ruziyev, I.; Umirzakov, G.; Sagdullayev, R. 2010. Innovative partnership: on the way to water productivity improvement. In Russian. Tashkent, Uzbekistan: International Water Management Institute (IWMI); Tashkent, Uzbekistan: Water Productivity Improvement at Pilot Level Project (WPI-PL); Tashkent, Uzbekistan: Scientific Information Center (SICwc). 111p.
Irrigation programs ; Water productivity ; Water use efficiency ; Evaluation ; Irrigation water ; Appropriate technology ; Training ; Farmers attitudes ; Cotton ; Wheat ; Maize ; Production costs ; Economic aspects ; Indicators ; Water user associations / Kyrgyzstan / Uzbekistan / Tajikistan / Central Asia / Fergana canal / Osh / Kaiyrma Canal / Aravan District / Karasui District
(Location: IWMI HQ Call no: IWMI 631.7.8 G782 DUK Record No: H043298)
http://vlibrary.iwmi.org/pdf/H043298_TOC.pdf

9 Dukhovny, V.; Mukhamedjanov, S.; Manthrithilake, Herath; Averina, L.; Kazbekov, Jusipbek; Platonov, Alexander; Ruziyev, I.; Umirzakov, G.; Sagdullayev, R. 2010. Innovative partnership: on the way to water productivity improvement. Tashkent, Uzbekistan: International Water Management Institute (IWMI); Tashkent, Uzbekistan: Water Productivity Improvement at Pilot Level Project (WPI-PL); Tashkent, Uzbekistan: Scientific Information Center (SICwc). 119p.
Irrigation programs ; Water productivity ; Water use efficiency ; Evaluation ; Irrigation water ; Appropriate technology ; Training ; Farmers attitudes ; Cotton ; Wheat ; Maize ; Production costs ; Economic aspects ; Indicators ; Water user associations / Kyrgyzstan / Uzbekistan / Tajikistan / Central Asia / Fergana canal / Osh / Kaiyrma Canal / Aravan District / Karasui District
(Location: IWMI HQ Call no: IWMI 631.7.8 G782 DUK c2 Record No: H043384)

10 Platonov, Alexander; Kuziev, R. K.; Abdurakhmonov, N. Y. 2010. Assessment method of salinization by means of satellite snapshots: the results on the farms of Syrdarya region, Uzbekistan. In Russian. In Proceedings of the Republican Scientific Practical Conference on Efficient Agricultural Water Use and Tropical Issues in Land Reclamation, Tashkent, Uzbekistan, 10-11 November 2010. Tashkent, Uzbekistan: Ministry of Agriculture and Water Resources; Tashkent, Uzbekistan: International Water Management Institute; Tashkent, Uzbekistan: Scientific Information Center of Interstate Commission for Water Coordination (SANIIRI). pp.265-270.
Salinity ; Assessment ; Satellite imagery ; Remote sensing / Uzbekistan / Syrdarya region
(Location: IWMI HQ Call no: e-copy only Record No: H043568)
https://vlibrary.iwmi.org/pdf/H043568.pdf
(1.69 MB)

11 Karimov, Akmal; Molden, David; Platonov, Alexander; Khamzina, A. 2011. From improved water accounting to increased water productivity in the Fergana Valley. In ICID. 21st Congress on Irrigation and Drainage: Water Productivity towards Food Security, Tehran, Iran, 15-23 October 2011. New Delhi, India: ICID. pp.141-153. (ICID Transaction No. 30-A)
Water resources ; Water accounting ; Water productivity ; River basins ; Upstream ; Downstream ; Water depletion ; Water conservation ; Water use ; Evaporation / Central Asia / Uzbekistan / Fergana valley / Syrdarya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H044425)
http://www.irncid.org/GetFileArticles.aspx?FilePrm=8327_12461.pdf
https://vlibrary.iwmi.org/pdf/H044425.pdf
(1.06 MB) (1.07MB)
Facing competition for limited water resources with domestic, industrial, hydropower and environmental uses, agriculture has to adapt to produce more food with less water. This paper proposes to apply water accounting procedure to identify the scope for water productivity improvement. The Fergana Valley, a highly productive area within the upstream of the Syrdarya River Basin, was selected to examine the proposed procedure. Significant non-productive depletions of water as evaporation at 31-34% of the available water were identified in the Fergana Valley. There is also flow to sinks and pollution in the downstream at 1-5% of the gross inflow due to the changes of the river flow regime, its quantity and quality, caused by the return flow from the irrigated land and the winter hydropower releases from the upstream. Total non-productive depletions of water at 4,200-5,200 million m3 (Mm3) were identified in the form of evaporation, flows to sinks, and pollution. Proper water saving technologies to reduce non-productive depletions will improve water productivity in the Fergana Valley and increase water availability for the downstream water uses.

12 Wegerich, Kai; Kazbekov, Jusipbek; Lautze, Jonathan; Platonov, Alexander; Yakubov, Murat. 2012. From monocentric ideal to polycentric pragmatism in the Syr Darya: searching for second best approaches. International Journal of Sustainable Society, 4(1-2):113-130. [doi: https://doi.org/10.1504/IJSSOC.2012.044669]
Water management ; River basin management ; Reservoirs ; Hydrology ; Institutions ; Water allocation ; Water use ; International waters ; Agricultural production / Central Asia / Kyrgyzstan / Uzbekistan / Tajikistan / Kazakhstan / Syr Darya River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H044659)
https://vlibrary.iwmi.org/pdf/H044659.pdf
(1.32 MB)
While best practice in water management typically calls for the use of a basin-level approach, specific guidance in the absence of basin-level management is fairly scant. This paper reviews the experience of the Syr Darya basin to identify insights related to second best practices for water management at scales below the basin level. This paper first presents the causes for the disintegration of river basin management within the Syr Darya, which include both changes in operation of the Toktogul reservoir and rising water demands due to shifts in agricultural production and land ownership. Focus is then devoted specifically to small transboundary tributaries, where bottom-up cooperation has continued or reemerged in recent times. This paper concludes by highlighting the limitations to singular focus on sub-basins and tributaries, suggesting a balance between more intense cooperation and water control on tributaries and a loose overarching framework at the basin level.

13 Karimov, Akmal; Molden, David; Khamzina, T.; Platonov, Alexander; Ivanov, Y. 2012. A water accounting procedure to determine the water savings potential of the Fergana Valley. Agricultural Water Management, 108:61-72. (Special issue on "Irrigation efficiency and productivity: scales, systems and science" with contributions by IWMI authors). [doi: https://doi.org/10.1016/j.agwat.2011.11.010]
Water management ; Water accounting ; Water conservation ; Water productivity ; Water use ; Conjunctive use ; Water power ; Upstream ; Downstream ; River basins ; Water storage ; Groundwater recharge / Central Asia / Syrdarya River Basin
(Location: IWMI HQ Call no: PER Record No: H044811)
https://vlibrary.iwmi.org/pdf/H044811.pdf
(1.37 MB)
The Syrdarya River basin in Central Asia exhibits symptoms of scarcity because of growing competition between hydropower upstream and environment, cities and agriculture downstream. Different approaches to water management, based on water savings in agriculture could relieve the stress of competition, yet keep alive a vibrant agriculture. The Fergana Valley, a highly productive area within the upstream of the Syrdarya River, was analyzed to determine the water savings potential of agriculture. This paper used a water accounting procedure to identify both the scope for savings and the strategies to realize those gains. Signi cant nonproductive depletion of water at 681–4164millionm3 (Mm3) was identi ed in the formof evaporation, ows to sinks and pollution. Thewater-saving potential is estimated at 2823Mm3 annually, which is about 10% of the total in ow into the area, through a range of practical approaches. This strategy would bring regional bene ts by reallocation of surplus winter ow from the upstream for summer use in the downstream.

14 Abdullaev, I.; Rakhmatullaev, S.; Platonov, Alexander; Sorokin, D. 2012. Improving water governance in Central Asia through application of data management tools. International Journal of Environmental Studies, 69(1):151-168. [doi: https://doi.org/10.1080/00207233.2011.641243]
Water management ; Organizations ; Water governance ; International waters ; Data management ; History ; Databases ; Remote sensing ; GIS ; Satellite imagery ; Irrigation systems ; Land use ; Land cover / Central Asia
(Location: IWMI HQ Call no: e-copy only Record No: H044921)
https://vlibrary.iwmi.org/pdf/H044921.pdf
(2.12 MB)
Contemporary water management decisions use many sources and forms of data. The paper discusses the implementation results of data management activities in the water sector carried out in five countries of the Central Asia region. Geoinformation systems, remote sensing tools and databases have been applied worldwide for improving water resources management with differing levels of success. Water management organisations, equipped with data management tools will have better capacities to adapt their decision-making in the changing availability and scarcity of water resources. Application of data management tools for improving collection, storage and processing of data and information are a first step towards improved water governance.

15 Abdullaev, I.; Noble, Andrew; Ul Hassan, M.; Platonov, Alexander. 2011. Improving water and land productivity of marginal farms in Central Asia: lessons from the "bright spots". In ICID. 21st Congress on Irrigation and Drainage: Water Productivity towards Food Security, Tehran, Iran, 15-23 October 2011. New Delhi, India: ICID. pp.11-36.
Water productivity ; Marginal farms ; Socioeconomic environment ; Indicators ; Irrigated sites ; Soil quality ; Statistical methods ; Farmers associations ; Crop production ; Economic aspects ; Land resources ; Land ownership ; Public policy / Central Asia / Uzbekistan / Turkmenistan
(Location: IWMI HQ Call no: e-copy only Record No: H044981)
http://www.irncid.org/GetFileArticles.aspx?FilePrm=9987_85221.pdf
https://vlibrary.iwmi.org/pdf/H044981.pdf
(0.91 MB) (946.93KB)
Land degradation of agricultural areas in Uzbekistan and Turkmenistan, specifically due to soil salinization, has resulted in significant declines in agricultural productivity. This study builds upon previous limited work on ‘Bright Spots’ by focusing on specific farming enterprises in the two target countries. The objective of this study was to identify factors that contributed to the enhanced performance of ‘Bright Spots’ in each of the target countries and based on this evaluation assess possible options for expansion and out-scaling of ‘Bright Spots’ to larger areas. The analysis confirms that while the resource endowment in terms of quality of land was almost identical for both the ‘Bright Spots’ and Control objects studied, the performance of the former was superior with respect to productivity and profitability. An analysis of biophysical and economic indicators of ‘Bright Spot’ farms in Uzbekistan indicated that the profitability of cotton production was predominantly dependent on inputs to the production system that had a significant impact on groundwater depth below the soil surface. In order to out-scale ‘Bright Spots’ innovative approaches in addressing existing knowledge gaps that link the products of research, and in this case ‘induce innovation’, with the majority of beneficiaries are required. This may take the form of creating linkages between farmers, researchers and markets through the formation of learning alliances. In addition, the development of enabling policies that address issues related to inequitable access to land and resources that would enable farmers to invest in rehabilitation is required. The provision of incentives which trigger private investment in rehabilitation would potentially stimulate individuals into addressing resource degradation. This would require access to financial instruments to enable investment to take place.

16 Platonov, Alexander; Wegerich, Kai; Kazbekov, Jusipbek; Kabilov, Firdavs. 2014. Beyond the state order?: second crop production in the Ferghana Valley, Uzbekistan. International Journal of Water Governance, 2:83-104. [doi: https://doi.org/10.7564/14-IJWG58]
Crop production ; Irrigated land ; Cash crops ; Cotton ; Winter wheat ; Food policies ; Farmers ; State intervention ; Water resources ; Water user associations / Central Asia / Uzbekistan / Ferghana Valley
(Location: IWMI HQ Call no: e-copy only Record No: H046615)
https://vlibrary.iwmi.org/pdf/H046615.pdf
(2.38 MB)
After independence in 1991, Uzbekistan introduced a policy on food security and consequently reduced the irrigated area allocated to cotton and increased the area of winter wheat. Shifting to winter wheat allowed farmers to grow a second crop outside the state-order system. The second crops are the most profitable and therefore farmers tried to maximize the area grown to this second crop. Although the second crops are the most profitable, only few studies have focused on this topic. Evidence is presented which shows that state control of crops has been extended from the main crops, cotton and wheat, to the second crops. Satellite images used for classification of main crops in two provinces of the Ferghana Valley for 2006–2011, highlight that the area utilized for second crops is dependent on the infrastructure that enables access to the water resource, not on the area’s position within the irrigation system.

17 Balasubramanya, Soumya; Buisson, Marie-Charlotte; Saikia, Panchali; MacDonald, K.; Aslamy, Sohrob; Horbulyk, Theodore; Hannah, C.; Yakubov, Murat; Platonov, Alexander. 2016. Impact of water-user associations on water and land productivity, equity, and food security in Tajikistan. Baseline Technical Report. Colombo, Sri Lanka: International Water Management Institute (IWMI). 131p.
Water user associations ; Water productivity ; Water management ; Water governance ; Watercourses ; Water supply ; Waterlogging ; Land productivity ; Equity ; Food security ; Gender ; Role of women ; Women's participation ; Agricultural sector ; Cotton industry ; Impact assessment ; Irrigation management ; Irrigation water ; Infrastructure ; Canals ; Financing ; Crop yield ; Cultivated land ; Farm area ; Private farms ; Living standards / Tajikistan
(Location: IWMI HQ Call no: e-copy only Record No: H047847)
https://publications.iwmi.org/pdf/H047847.pdf
(1.81 MB)

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