Literature DB >> 19387853

Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment.

George Ch Miliaresis1, Andreas Tsatsaris.   

Abstract

The aim of the current research effort is to include biophysical multi-temporal data and more specifically land surface temperature (LST) in the terrain modeling process that traditionally was based only on digital elevation data processing. The terrain partition framework (spatial objects) is defined by the borderlines of prefecture authorities of Greece. Each object is represented by a set of attributes derived from the digital elevation data, and objects are organized into clusters on the basis of their terrain dependent representation. Finally, the terrain is segmented to regions on the basis of the multi-temporal LST data, each region presenting a different thermal signature. The thermal regions are used in the spatial objects parametric representation and a new index is devised (LST climatic index) expressing the biophysical suitability of spatial objects at moderate resolution scale.

Mesh:

Year:  2009        PMID: 19387853     DOI: 10.1007/s10661-009-0913-x

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


  2 in total

1.  The terrain signatures of administrative units: a tool for environmental assessment.

Authors:  George Ch Miliaresis
Journal:  Environ Monit Assess       Date:  2008-04-25       Impact factor: 2.513

2.  The Landcover Impact on the Aspect/Slope Accuracy Dependence of the SRTM-1 Elevation Data for the Humboldt Range.

Authors:  George C Miliaresis
Journal:  Sensors (Basel)       Date:  2008-05-15       Impact factor: 3.576

  2 in total
  2 in total

1.  Temporal change and its spatial variety on land surface temperature and land use changes in the Red River Delta, Vietnam, using MODIS time-series imagery.

Authors:  On Van Nguyen; Kensuke Kawamura; Dung Phan Trong; Zhe Gong; Endan Suwandana
Journal:  Environ Monit Assess       Date:  2015-06-26       Impact factor: 2.513

2.  Thermal anomaly mapping from night MODIS imagery of USA, a tool for environmental assessment.

Authors:  George Ch Miliaresis
Journal:  Environ Monit Assess       Date:  2012-05-08       Impact factor: 2.513

  2 in total

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