Evaluation of seasonal water body extents in Central Asia over the past 27 years derived from medium-resolution remote sensing data

Klein, Igor; Dietz, A.J.; Geßner, Ursula; Galayeva, Anastassiya; Myrzakhmetov, Akhan; Kuenzer, Claudia

doi:10.1016/j.jag.2013.08.004

Cited by 116 publications

(108 citation statements)

References 49 publications

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“…Earth observation missions have been developed to provide images of the Earth's surface at various spatial, temporal, and spectral resolutions, which have been used to map land use and land cover dynamics over the last few decades (Kümmerle et al, 2013;Klein et al, 2014). Past (ALOS, ENVISAT), current (Formosat-2, Radarsat-2, Spot 4-5, TerraSAR-X), and future (Radarsat Constellation, Sentinel 1-2, TerraSAR-L) Earth observation missions offer high spatial resolution, frequent revisit times, and a unique opportunity to monitor the extent of global water resources, even small-sized resources.…”

Section: F Baup Et Al: Combining High-resolution Satellite Images Amentioning

confidence: 99%

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Baup

Frappart

Maubant

2014

Hydrol. Earth Syst. Sci.

100

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Abstract. This study presents an approach to determining the volume of water in small lakes (< 100 ha) by combining satellite altimetry data and high-resolution (HR) images. In spite of the strong interest in monitoring surface water resources on a small scale using radar altimetry and satellite imagery, no information is available about the limits of the remote-sensing technologies for small lakes mainly used for irrigation purposes. The lake being studied is located in the south-west of France and is only used for agricultural irrigation purposes. The altimetry satellite data are provided by an RA-2 sensor onboard Envisat, and the high-resolution images (< 10 m) are obtained from optical (Formosat-2) and synthetic aperture radar (SAR) antenna (Terrasar-X and Radarsat-2) satellites. The altimetry data (data are obtained every 35 days) and the HR images (77) have been available since 2003 and 2010, respectively. In situ data (for the water levels and volumes) going back to 2003 have been provided by the manager of the lake. Three independent approaches are developed to estimate the lake volume and its temporal variability. The first two approaches (HRBV and ABV) are empirical and use synchronous ground measurements of the water volume and the satellite data. The results demonstrate that altimetry and imagery can be effectively and accurately used to monitor the temporal variations of the lake (R 2 ABV = 0.98, RMSE ABV = 5%, R 2 HRBV = 0.90, and RMSE HRBV = 7.4 %), assuming a time-varying triangular shape for the shore slope of the lake (this form is well adapted since it implies a difference inferior to 2 % between the theoretical volume of the lake and the one estimated from bathymetry). The third method (AHRBVC) combines altimetry (to measure the lake level) and satellite images (of the lake surface) to estimate the volume changes of the lake and produces the best results (R 2 AHRBVC = 0.98) of the three methods, demonstrating the potential of future Sentinel and SWOT missions to monitor small lakes and reservoirs for agricultural and irrigation applications.

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Section: F Baup Et Al: Combining High-resolution Satellite Images Amentioning

confidence: 99%

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Baup

Frappart

Maubant

2014

Hydrol. Earth Syst. Sci.

100

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“…The largest of these is Lake Tengiz (part of the Nura River basin) in north Kazakhstan [55], but there are also a considerable number of small shallow steppe lakes [56] as well as unique ecosystems such as Burabay Lakes located in the mountain ranges along the Kazakh Uplands [24]. The Tengiz-Korgaldzhin Lake system is a large shallow lake and wetland area in northern Kazakhstan, a habitat and migration path for hundreds of waterfowl bird species, including pink flamingoes [55,57]. Lake Tengiz, at the end of the Nura River, is the largest lake in Northern Kazakhstan with an area of 1590 km 2 [21].…”

Section: Central Asiamentioning

confidence: 99%

“…Lake Tengiz, at the end of the Nura River, is the largest lake in Northern Kazakhstan with an area of 1590 km 2 [21]. Klein et al [55] reported the decrease of surface water in the Tengiz-Korgaldzhin lakes from 1992-1993 to 2012. Small depressions or "pans" (filled with water or dry, depending on rainfall input) 1-2 km 2 across are widespread in northern CA (covering the plains of west Siberia and northern Kazakhstan).…”

Section: Central Asiamentioning

confidence: 99%

Essentials of Endorheic Basins and Lakes: A Review in the Context of Current and Future Water Resource Management and Mitigation Activities in Central Asia

Yapiyev

Sagin

Inglezakis

et al. 2017

Water

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Abstract:Endorheic basins (i.e., land-locked drainage networks) and their lakes can be highly sensitive to variations in climate and adverse anthropogenic activities, such as overexploitation of water resources. In this review paper, we provide a brief overview of one major endorheic basin on each continent, plus a number of endorheic basins in Central Asia (CA), a region where a large proportion of the land area is within this type of basin. We summarize the effects of (changing) climate drivers and land surface-atmosphere feedbacks on the water balance. For the CA region, we also discuss key anthropogenic activities, related water management approaches and their complex relationship with political and policy issues. In CA a substantial increase in irrigated agriculture coupled with negative climate change impacts have disrupted the fragile water balance for many endorheic basins and their lakes. Transboundary integrated land and water management approaches must be developed to facilitate adequate climate change adaptation and possible mitigation of the adverse anthropogenic influence on endorheic basins in CA. Suitable climate adaptation, mitigation and efficient natural resource management technologies and methods are available, and are developing fast. A number of these are discussed in the paper, but these technologies alone are not sufficient to address pressing water resource issues in CA. Food-water-energy nexus analyses demonstrate that transboundary endorheic basin management requires transformational changes with involvement of all key stakeholders. Regional programs, supported by local governments and international donors, which incorporate advanced adaptation technologies, water resource research and management capacity development, are essential for successful climate change adaptation efforts in CA. However, there is a need for an accelerated uptake of such programs, with an emphasis on unification of approaches, as the pressures resulting from climate change and aggravated by human mismanagement of natural water resources leave very little time for hesitation.

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“…There are many kinds of algorithm have been adopted for water detection especially on Landsat data that categorized into four main groups: 1-classification and pattern recognition methods that include supervised (Tulbure and Broich 2013) and unsupervised methods (Ko, Kim et al 2015), 2-spectral unmixing (Sethre, Rundquist et al 2005), 3-single-band thresholding (Klein, Dietz et al 2014), 4-the spectral water index (Ji, Zhang et al 2009). Classification methods have a better performance than thresholding methods.…”

Section: Introductionmentioning

confidence: 99%

Modified Optimization Water Index (Mowi) for Landsat-8 Oli/Tirs

Moradi

Sahebi

Shokri

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Water is one of the most important resources that essential need for human life. Due to population growth and increasing need of human to water, proper management of water resources will be one of the serious challenges of next decades. Remote sensing data is the best way to the management of water resources due time and cost effectiveness over a greater range of temporal and spatial scales. Between many kinds of satellite data, from SAR to optic or from high resolution to low resolution, Landsat imagery is more interesting data for water detection and management of earth surface water. Landsat8 OLI/TIRS is the newest version of Landsat satellite series. In this paper, we investigated the full spectral potential of Landsat8 for water detection. It is developed many kinds of methods for this purpose that index based methods have some advantages than other methods. Pervious indices just use a limited number of spectral band. In this paper, Modified Optimization Water Index (MOWI) defined by consideration of a linear combination of bands that each coefficient of bands calculated by particle swarm algorithm. The result shows that modified optimization water index (MOWI) has a proper performance on different condition like cloud, cloud shadow and mountain shadow.

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Evaluation of seasonal water body extents in Central Asia over the past 27 years derived from medium-resolution remote sensing data

Cited by 116 publications

References 49 publications

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Essentials of Endorheic Basins and Lakes: A Review in the Context of Current and Future Water Resource Management and Mitigation Activities in Central Asia

Modified Optimization Water Index (Mowi) for Landsat-8 Oli/Tirs

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