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@ARTICLE{Muro:848151,
      author       = {Muro, Javier and Strauch, Adrian and Heinemann, Sascha and
                      Steinbach, Stefanie and Thonfeld, Frank and Waske, Björn
                      and Diekkrüger, Bernd},
      title        = {{L}and surface temperature trends as indicator of land use
                      changes in wetlands},
      journal      = {International journal of applied earth observation and
                      geoinformation},
      volume       = {70},
      issn         = {0303-2434},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-03423},
      pages        = {62 - 71},
      year         = {2018},
      abstract     = {The impacts of agricultural expansion on wetlands are
                      diverse and complex. Land surface temperature (LST) has a
                      great potential to act as a global indicator of the status
                      of wetlands and changes in their hydrological and
                      evapotranspiration regimes, which are often linked to land
                      use and cover changes. We use the whole MODIS LST archive
                      (2000–2017) to perform time series analysis in the
                      Kilombero catchment, Tanzania; a large wetland that has
                      experienced major land conversions to agriculture during the
                      last two decades. We estimated pixel based trends using
                      three models: a seasonal trend model, and aggregated time
                      series using annual means and percentile 90. We
                      characterized the trends found by using land cover change
                      maps derived from Landsat imagery and a post-classification
                      comparison. The relation between Normalized Difference
                      Vegetation Index (NDVI) and LST trends was also studied
                      (r =−0.56). The results given by the seasonal trend
                      model and annual means were similar (r = 0.81). Fewer
                      significant trends were found using the percentile 90, and
                      these had larger magnitudes. Positive LST trends (i.e.
                      increasing) corresponded to deforestation and farmland
                      expansion into the floodplain, while forestation processes
                      resulted in negative LST trends. Moderate increases of LST
                      in natural wetlands suggest that the impacts of human
                      activities extend also into non-cultivated areas. We provide
                      evidence of how time series analysis of LST data can be
                      successfully used to monitor and study changes in wetland
                      ecosystems at regional and local scales},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000434005000007},
      doi          = {10.1016/j.jag.2018.02.002},
      url          = {https://juser.fz-juelich.de/record/848151},
}