Literature DB >> 18343560

Global monitoring of wetlands--the value of ENVISAT ASAR Global mode.

A Bartsch1, W Wagner, K Scipal, C Pathe, D Sabel, P Wolski.   

Abstract

This paper elaborates on recent advances in the use of ScanSAR technologies for wetland-related research. Applications of active satellite radar systems include the monitoring of inundation dynamics as well as time series analyses of surface soil wetness. For management purposes many wetlands, especially those in dry regions, need to be monitored for short and long-term changes. Another application of these technologies is monitoring the impact of climate change in permafrost transition zones where peatlands form one of the major land cover types. Therefore, examples from boreal and subtropical environments are presented using the analysed ENVISAT ASAR Global mode (GM, 1 km resolution) data acquired in 2005 and 2006. In the case of the ENVISAT ASAR instrument, data availability of the rather coarse Global Mode depends on request priorities of other competing modes, but acquisition frequency may still be on average fortnightly to monthly depending on latitude. Peatland types covering varying permafrost regimes of the West Siberian Lowlands can be distinguished from each other and other land cover by multi-temporal analyses. Up to 75% of oligotrophic bogs can be identified in the seasonal permafrost zone in both years. The high seasonal and inter-annual dynamics of the subtropic Okavango Delta can also be captured by GM time series. Response to increased precipitation in 2006 differs from flood propagation patterns. In addition, relative soil moisture maps may provide a valuable data source in order to account for external hydrological factors of such complex wetland ecosystems.

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Year:  2008        PMID: 18343560     DOI: 10.1016/j.jenvman.2007.06.023

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Characterizing wetland change at landscape scale in Jiangsu Province, China.

Authors:  Chi Xu; Sheng Sheng; Wen Zhou; Lijuan Cui; Maosong Liu
Journal:  Environ Monit Assess       Date:  2010-10-16       Impact factor: 2.513

2.  A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data.

Authors:  Barbara Widhalm; Annett Bartsch; Birgit Heim
Journal:  Int J Remote Sens       Date:  2015-11-16       Impact factor: 3.151

Review 3.  A Review of Wetland Remote Sensing.

Authors:  Meng Guo; Jing Li; Chunlei Sheng; Jiawei Xu; Li Wu
Journal:  Sensors (Basel)       Date:  2017-04-05       Impact factor: 3.576

4.  Evaluation of the predicted error of the soil moisture retrieval from C-band SAR by comparison against modelled soil moisture estimates over Australia.

Authors:  Marcela Doubková; Albert I J M Van Dijk; Daniel Sabel; Wolfgang Wagner; Günter Blöschl
Journal:  Remote Sens Environ       Date:  2012-05-15       Impact factor: 10.164

  4 in total

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