Using remote sensing data for water depletion assessment at administrative and irrigation-system levels: case study of the Ferghana Province of Uzbekistan

Chemin, Yann; Platonov, Alexander E.; Ul-Hassan, Mehmood; Abdullaev, Iskandar

doi:10.1016/s0378-3774(03)00209-9

Cited by 31 publications

(12 citation statements)

References 9 publications

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“…Obvious upstream-downstream gradients of river water are reported to significantly affect crop production in the downstream oasis [2]. The same situation can be observed within irrigation systems at the local scale [5][6][7]. A complex system of socio-economic and political conditions (e.g., [2,8]) together with climate change is assumed to aggravate the pressure on land and water resources in the ASB, hence with effects on the water availability [3,9,10].…”

Section: Introductionmentioning

confidence: 84%

“…Generally, the higher the MR-CI, the more intensive is the use of irrigated cropland. For both river systems, a general decrease of mapped annual MR-CI can be observed in upstream-downstream direction (Figure 8 (2) 1.05 Chardara, Aris (3) 0.84 Kyzyl Orda (4) 0.86 Syr Darya River (CZ 1-4) 1.04 Upper Amu Darya (5) 1.23 Zerafshan, Mid Amu Darya (6) 0.95 Karakum Canal (7) 0.53 Amu Darya Delta (8) 0.78 Amu Dary River (CZ [5][6][7][8] 0.83…”

Section: Irrigated Cropland Extent and Cropping Intensity In The Asb mentioning

confidence: 99%

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Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

Conrad

Schönbrodt-Stitt

Löw³

et al. 2016

Remote Sensing

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This study is aimed at a better understanding of how upstream runoff formation affected the cropping intensity (CI: number of harvests) in the Aral Sea Basin (ASB) between 2000 and 2012. MODIS 250 m NDVI time series and knowledge-based pixel masking that included settlement layers and topography features enabled to map the irrigated cropland extent (iCE). Random forest models supported the classification of cropland vegetation phenology (CVP: winter/summer crops, double cropping, etc.). CI and the percentage of fallow cropland (PF) were derived from CVP. Spearman's rho was selected for assessing the statistical relation of CI and PF to runoff formation in the Amu Darya and Syr Darya catchments per hydrological year. Validation in 12 reference sites using multi-annual Landsat-7 ETM+ images revealed an average overall accuracy of 0.85 for the iCE maps. MODIS maps overestimated that based on Landsat by an average factor of~1.15 (MODIS iCE/Landsat iCE). Exceptional overestimations occurred in case of inaccurate settlement layers. The CVP and CI maps achieved overall accuracies of 0.91 and 0.96, respectively. The Amu Darya catchment disclosed significant positive (negative) relations between upstream runoff with CI (PF) and a high pressure on the river water resources in 2000-2012. Along the Syr Darya, reduced dependencies could be observed, which is potentially linked to the high number of water constructions in that catchment. Intensified double cropping after drought years occurred in Uzbekistan. However, a 10 kmˆ10 km grid of Spearman's rho (CI and PF vs. upstream runoff) emphasized locations at different CI levels that are directly affected by runoff fluctuations in both river systems. The resulting maps may thus be supportive on the way to achieve long-term sustainability of crop production and to simultaneously protect the severely threatened environment in the ASB. The gained knowledge can be further used for investigating climatic impacts of irrigation in the region.

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Section: Introductionmentioning

confidence: 84%

Section: Irrigated Cropland Extent and Cropping Intensity In The Asb mentioning

confidence: 99%

Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

Conrad

Schönbrodt-Stitt

Löw³

et al. 2016

Remote Sensing

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“…Bastiaanssen et al, 1998b;Bastiaanssen, 2000;Chemin et al, 2004). However, few references have been made to the natural grassland in semi-arid regions.…”

Section: Discussionmentioning

confidence: 99%

Evapo-transpiration estimation over the river basin of the Loess Plateau of China based on remote sensing

Kimura

Bai

Fan

et al. 2007

Journal of Arid Environments

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“…Remote sensing is one such an alternative, and as such, over the last decade, methods for calculating the actual evapotranspiration (ET a ) have been developed (Bastiaanssen, 1995). The main advantage of this approach is that large areas are covered, and that data is easily obtainable without extensive monitoring networks in the field (Bandara, 2003;Chemin et al, 2004). In summary the objectives of this study is to use satellite images to estimate spatio temporal variation of actual evapotranspiration across the basin from 2000 to 2006.…”

Section: Introductionmentioning

confidence: 99%

Using satellite remote sensing to assess evapotranspiration: Case study of the upper Ewaso Ng’iro North Basin, Kenya

Mutiga¹,

Su²,

Woldai³

2010

International Journal of Applied Earth Observation and Geoinfor

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ABSTRACT:Actual Evapotranspiration (ET a ) is one of the most useful indicators to explain whether the water is being used as "intended". ET a variations, both in space and time and from different land use types are seen to be highly indicative for the adequacy, reliability and equity in water use; the knowledge of these terms is essential for judicious water resources management. Unfortunately, ET a estimation under actual field conditions is still a big challenge to both scientists and water managers. The complexity associated with the estimation of ET a has lead to the development of various methodological approaches for estimating it over time.During the last two to three decades, significant progress has been made to estimate actual evapotranspiration using satellite remote sensing These methods provide a powerful means to compute ET a from pixel to the entire basin scale. In this study, Surface Energy Balance Algorithm for Land (SEBAL) was used to compute a complete radiation and energy balance along with the resistances for momentum, heat and water vapour transport for each pixel and then applied to assess the ET a at the basin scale and subsequently carryout a simple water balance for the basin. This was done for the Upper Ewaso Ng'iro North River Basin, in Kenya. Landcover/ landuse for 2000, 2003 and 2006 were assessed and compared with ET a for the same periods and a significant correlation was established. The ET a values obtained for the three time periods was used to analyse water use patterns across the basin thus giving insights on the underlying factors impacting on the water resources of the basin and hence facilitating the formulation of appropriate water resources management strategies for the basin.

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Using remote sensing data for water depletion assessment at administrative and irrigation-system levels: case study of the Ferghana Province of Uzbekistan

Cited by 31 publications

References 9 publications

Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012

Evapo-transpiration estimation over the river basin of the Loess Plateau of China based on remote sensing

Using satellite remote sensing to assess evapotranspiration: Case study of the upper Ewaso Ng’iro North Basin, Kenya

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