Literature DB >> 25800368

Assessing and monitoring the risk of desertification in Dobrogea, Romania, using Landsat data and decision tree classifier.

Iosif Vorovencii1.   

Abstract

The risk of the desertification of a part of Romania is increasingly evident, constituting a serious problem for the environment and the society. This article attempts to assess and monitor the risk of desertification in Dobrogea using Landsat Thematic Mapper (TM) satellite images acquired in 1987, 1994, 2000, 2007 and 2011. In order to assess the risk of desertification, we used as indicators the Modified Soil Adjustment Vegetation Index 1 (MSAVI1), the Moving Standard Deviation Index (MSDI) and the albedo, indices relating to the vegetation conditions, the landscape pattern and micrometeorology. The decision tree classifier (DTC) was also used on the basis of pre-established rules, and maps displaying six grades of desertification risk were obtained: non, very low, low, medium, high and severe. Land surface temperature (LST) was also used for the analysis. The results indicate that, according to pre-established rules for the period of 1987-2011, there are two grades of desertification risk that have an ascending trend in Dobrogea, namely very low and medium desertification. An investigation into the causes of the desertification risk revealed that high temperature is the main factor, accompanied by the destruction of forest shelterbelts and of the irrigation system and, to a smaller extent, by the fragmentation of agricultural land and the deforestation in the study area.

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Year:  2015        PMID: 25800368     DOI: 10.1007/s10661-015-4428-3

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


  3 in total

1.  Modeling desertification change in Minqin County, China.

Authors:  Danfeng Sun; Richard Dawson; Hong Li; Baoguo Li
Journal:  Environ Monit Assess       Date:  2005-09       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.  Quantitative assessment of desertification using landsat data on a regional scale - a case study in the ordos plateau, china.

Authors:  Duanyang Xu; Xiangwu Kang; Dongsheng Qiu; Dafang Zhuang; Jianjun Pan
Journal:  Sensors (Basel)       Date:  2009-03-12       Impact factor: 3.576

  3 in total
  1 in total

1.  Assessing and monitoring the risk of land degradation in Baragan Plain, Romania, using spectral mixture analysis and Landsat imagery.

Authors:  Iosif Vorovencii
Journal:  Environ Monit Assess       Date:  2016-06-28       Impact factor: 2.513

  1 in total

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