Dynamic of coniferous forests areas in Baikal Region by classification of Landsat time series

Elena P. Yankovich, Ksenia S. Yankovich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the most important criterion of forest fire occurrence probability is the ratio of coniferous vegetation area to total area of the forestry. The work develops method of automated analysis of dynamic of coniferous forest area on the basis of NDVI index received from the temporal ranges of Landsat images, as well as tests it on the example of a forestry in Baikal Region. Maps of summary results of carried out spatio-temporal analysis of the forestry area are shown. Developed method and algorithm of processing Landsat images allow assessing condition and dynamics of spatio-temporal changes in vegetation (forest) cover in the area of study.

Original languageEnglish
Title of host publicationEarth Resources and Environmental Remote Sensing/GIS Applications XI
EditorsKarsten Schulz, Ulrich Michel, Konstantinos G. Nikolakopoulos
PublisherSPIE
ISBN (Electronic)9781510638815
DOIs
Publication statusPublished - 2020
EventEarth Resources and Environmental Remote Sensing/GIS Applications XI 2020 - Virtual, Online, United Kingdom
Duration: 21 Sep 202025 Sep 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11534
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceEarth Resources and Environmental Remote Sensing/GIS Applications XI 2020
CountryUnited Kingdom
CityVirtual, Online
Period21.9.2025.9.20

Keywords

  • Baikal Lake basin
  • Coniferous forest
  • Landsat
  • NDVI
  • Python

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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