Incorporation of human dimension into the analysis of remotely-sensed images: a spatial model of deforestation

Shojiro Tanaka, Ryuei Nishii

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

Remotely-sensed information of forest coverage was extended by applying grid-cell data in typical human dimension: population. We demonstrated that process of deforestation have strong dependence on human population in an explicit form of a mathematical model. Relative appropriateness to real data of the relation was compared with other possible relations by Akaike's Information Criterion (AIC). We propose to use the best model for evaluating regional forest environment through estimated parameter comparison.

Original languageEnglish
Pages922-924
Number of pages3
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger
Duration: Jun 28 1999Jul 2 1999

Other

OtherProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
CityHamburg, Ger
Period6/28/997/2/99

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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