DOI: 10.1016/j.jag.2013.08.004
Scopus记录号: 2-s2.0-84897891801
论文题名: Evaluation of seasonal water body extents in Central Asia over thepast 27 years derived from medium-resolution remote sensing data
作者: Klein I ; , Dietz A ; J ; , Gessner U ; , Galayeva A ; , Myrzakhmetov A ; , Kuenzer C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 335
结束页码: 349
语种: 英语
英文关键词: Central asia
; Medium resolution satellite data
; Time-series
; Water bodies
Scopus关键词: accuracy assessment
; AVHRR
; data set
; Landsat
; MODIS
; remote sensing
; satellite data
; seasonal variation
; sensor
; spatial resolution
; time series analysis
; Aral Sea
; Central Asia
; Kazakhstan
英文摘要: In this study medium resolution remote sensing data of the AVHRR and MODIS sensors were used forderivation of inland water bodies extents over a period from 1986 till 2012 for the region of CentralAsia. Daily near-infrared (NIR) spectra from the AVHRR sensor with 1.1km spatial resolution and 8-dayNIR composites from the MODIS sensor with 250 m spatial resolution for the months April, July andSeptember were used as input data. The methodological approach uses temporal dynamic thresholdsfor individual data sets, which allows detection of water pixel independent from differing conditionsor sensor differences. The individual results are summed up and combined to monthly composites ofareal extent of water bodies. The presented water masks for the months April, July, and September werechosen to detect seasonal patterns as well as inter-annual dynamics and show diverse behaviour of static,decreasing, or dynamic water bodies in the study region. The size of the Southern Aral Sea, as the mostpopular example for an ecologic catastrophe, is decreasing significantly throughout all seasons (R20.96 forApril; 0.97 for July; 0.96 for September). Same is true for shallow natural lakes in the northern Kazakhstan,exemplary the Tengiz-Korgalzhyn lake system, which have been shrinking in the last two decades dueto drier conditions (R20.91 for July; 0.90 for September). On the contrary, water reservoirs show highseasonality and are very dynamic within one year in their areal extent with maximum before growingseason and minimum after growing season. Furthermore, there are water bodies such as Alakol-Sasykollake system and natural mountainous lakes which have been stable in their areal extent throughoutthe entire time period. Validation was performed based on several Landsat images with 30 m resolutionand reveals an overall accuracy of 83% for AVHRR and 91% for MODIS monthly water masks. The resultsshould assist for climatological and ecological studies, land and water management, and as input datafor different modelling applications. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79766
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Remote Sensing, University of Wuerzburg, Germany; German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, Germany; National Hydrometeorological Service of the Republic of Kazakhstan, Kazakhstan; Institute of Geography of the Republic of Kazakhstan, Kazakhstan
Recommended Citation:
Klein I,, Dietz A,J,et al. Evaluation of seasonal water body extents in Central Asia over thepast 27 years derived from medium-resolution remote sensing data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)