45
views
1
recommends
+1 Recommend
1 collections
    3
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Spatial-Temporal Variation of Drought in China from 1982 to 2010 Based on a modified Temperature Vegetation Drought Index (mTVDI)

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Droughts cause huge losses of society and environment, therefore it is important to study the spatial-temporal pattern of drought. The traditional remote sensing drought indices (AVI, VCI and TCI) only consider the single factor representing the soil moisture (surface temperature or NDVI). The comprehensive remote sensing drought indices (VSWI and TVDI) can estimate the soil moisture more accurately, but they are not suitable for large scale region especially with great elevation variation. In this study, a modified Temperature Vegetation Drought Index (mTVDI) was constructed based on the correction of elevation and dry edge. Compared with the traditional drought indices, mTVDI had a better relationship with soil moisture in all selected months (R = −0.376, −0.406, −0.459, and −0.265, p < 0.05). mTVDI was used to analyze the spatial-temporal patterns of drought in China from 1982 to 2010. The results showed that droughts appeared more frequently in Northwest China and the southwest of Tibet while drought centers of North and Southwest China appeared in Huanghuaihai Plain and Yunnan-Guizhou Plateau respectively. The frequency of drought was increasing as a whole while the frequency of severe drought increased significantly by 4.86% and slight drought increased slowly during 1982 to 2010. The results are useful for the understanding of drought and policy making of climate change.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer

              John Price (1984)
                Bookmark

                Author and article information

                Contributors
                zhaosh@nju.edu.cn
                hekexun@126.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 December 2017
                12 December 2017
                2017
                : 7
                : 17473
                Affiliations
                [1 ]ISNI 0000 0001 2314 964X, GRID grid.41156.37, School of Geographic and Oceanographic Sciences, , Nanjing University, ; 163 Xianlin Ave, Qixia District, Nanjing, 210023 China
                [2 ]ISNI 0000 0001 2314 964X, GRID grid.41156.37, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, , Nanjing University, ; 163 Xianlin Ave, Qixia District, Nanjing, 210023 China
                [3 ]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023 China
                [4 ]ISNI 0000 0001 2324 2668, GRID grid.464230.7, China Automotive Technology & Research Center, ; 68 East Xianfeng Road, Dongli District, Tianjin, 300300 China
                [5 ]ISNI 0000 0004 4910 9859, GRID grid.454322.6, Norwegian Institute of Bioeconomy Research (NIBIO), ; Postboks 115, 1431 Ås, Norway
                [6 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, CEES, Department of Biosciences, , University of Oslo, ; Blindern, 0152 Oslo, Norway
                [7 ]ISNI 0000 0001 0526 1937, GRID grid.410727.7, Institute of Agricultural Resources and Regional Planning, , Chinese Academy of Agricultural Sciences, ; Beijing, 100081 China
                Article
                17810
                10.1038/s41598-017-17810-3
                5727209
                29234101
                ca709eef-ccdd-4646-bbcb-ee1c30ffee9c
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 June 2017
                : 1 December 2017
                Categories
                Article
                Custom metadata
                © The Author(s) 2017

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content90

                Cited by11

                Most referenced authors426