Literature DB >> 26676411

Criterion definition for the identification of physical-geographical boundaries of Khorezm oasis through remotely sensed data.

Muzaffar Matchanov1, Ana Teodoro2, Christoph Schroder3.   

Abstract

The Khorezm oasis is one of the main ancient agricultural and cultural centers of Asia. Different studies have used administrative boundaries, without regard to the ecosystem complexity. Remote sensing is a technique that provides many advantages in relation to traditional land cover monitoring approaches. The main objective of this study was to identify the physical-geographical boundaries of Khorezm oasis and analyzed area change dynamics of the oasis using remote sensing data. Landsat 4-5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) images from 1998, 2010, and 2014 were used in order to identify the oasis boundaries by analyzing the normalized difference vegetation index (NDVI). The Landsat data were radiometric normalized before the NDVI estimation. Several NDVI cutoff values were tested in order to define the more adequate value to identify the oasis boundaries (NDVI ≥ 0.1 for 1998 and 2010 images and NDVI ≥ 0.2 for 2014 images). Geographical Information System (GIS) techniques were then used to calculate the oasis area (31,885.49, 30,005.58, and 28,966.08 km(2), for 1998, 2010, and 2014, respectively) and analyze the land cover changes. The oasis presents a total area loss of 2919.41 km(2) between 1998 and 2014. The mean percentage variations between 2010 and 1998 and from 2014 to 1998 were -5.9 and -9.2 %, respectively. Therefore, the Khorezm oasis lost more than 9 % of this area between 1998 and 2014. The main areas of decrease appeared in the southern parts of the Aral Sea where the last tributaries of the Amudarya River were located. This work allowed mapping the physical-geographical boundaries of Khorezm oasis and identifying its dynamics for the analyzed period. The methodology presented in this work can be applied to other oasis regions, located in different parts of the world.

Keywords:  Change detection; Landsat data; NDVI; Oasis ecosystems; Physical-geographical boundaries

Mesh:

Year:  2015        PMID: 26676411     DOI: 10.1007/s10661-015-5035-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

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Authors:  Shuixian Wang; Bin Wu; Pengnian Yang
Journal:  Environ Monit Assess       Date:  2014-08-23       Impact factor: 2.513

2.  Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS).

Authors:  Yuanzhi Zhang; Zhengyi Chen; Boqin Zhu; Xiuyue Luo; Yanning Guan; Shan Guo; Yueping Nie
Journal:  Environ Monit Assess       Date:  2008-01-16       Impact factor: 2.513

3.  Assessment of some remote sensing techniques used to detect land use/land cover changes in South-East Transilvania, Romania.

Authors:  Iosif Vorovencii
Journal:  Environ Monit Assess       Date:  2013-12-10       Impact factor: 2.513

4.  Evaluating the difference between the normalized difference vegetation index and net primary productivity as the indicators of vegetation vigor assessment at landscape scale.

Authors:  Chi Xu; Yutong Li; Jian Hu; Xuejiao Yang; Sheng Sheng; Maosong Liu
Journal:  Environ Monit Assess       Date:  2011-04-06       Impact factor: 2.513

5.  Impacts of LUCC on soil properties in the riparian zones of desert oasis with remote sensing data: a case study of the middle Heihe River basin, China.

Authors:  Penghui Jiang; Liang Cheng; Manchun Li; Ruifeng Zhao; Yuewei Duan
Journal:  Sci Total Environ       Date:  2014-11-20       Impact factor: 7.963

6.  Development of an indicator to monitor mediterranean wetlands.

Authors:  Antonio Sanchez; Dania Abdul Malak; Anis Guelmami; Christian Perennou
Journal:  PLoS One       Date:  2015-03-31       Impact factor: 3.240

  6 in total

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