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Usage of Spectral Indices in Monitoring of Green in the Selected Parts of the Pardubice Region (the Czech Republic)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913542" target="_blank" >RIV/00216275:25410/18:39913542 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Usage of Spectral Indices in Monitoring of Green in the Selected Parts of the Pardubice Region (the Czech Republic)

  • Original language description

    The aim of the project was to evaluate the possibility of using spectral indices in the monitoring of the green in part of the Pardubice region, namely municipality with extended powers Pardubice. Five Landsat datasets were selected in the time period from 1987 to 2013. The processed data comes from Landsat 5, Landsat 7 and Landsat 8 satellites. Next three scenes were taken from the Terra satellite MODIS scanner. Images were selected in such a way that the acquisition dates were approximately the same. Four vegetation indices were compared: ratio index NDVI, SAVI and MSAVI distance indexes, and orthogonal index GVI. A temporal analysis was carried out for these indices between 1987 and 2013. An unsupervised classification was performed to better interpret the images. Data were classified by ISODATA algorithm into fifteen classes, which were then aggregated into three classes. A majority filter was used for smoothening the classified results. NDVI and SAVI values show almost identical results in the area of interest and there were no significant differences after the classification. MSAVI versus NDVI and SAVI index is less sensitive to capture of concrete surfaces. The water areas were classified correctly. The GVI vegetation index differs considerably from NDVI, SAVI and MSAVI indices. After classification, GVI ranked green areas similarly to other indices. However, agricultural land was largely included in the class of water areas. Therefore, GVI is inappropriate to analyse the green of areas of interest. The best results are provided by the classified MSAVI. The minimum of concrete surfaces were assigned into the class of water bodies. At the end of the work, the detection of green changes was calculated. Changes between 1987 and 2013 were most evident in the southern part of the area. The highest changes in vegetation identified GVI index.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    7th International Conference on Cartography and GIS : proceedings vol. 1, 2

  • ISBN

  • ISSN

    1314-0604

  • e-ISSN

    1314-0604

  • Number of pages

    10

  • Pages from-to

    442-451

  • Publisher name

    Bulgarian Cartographic Association

  • Place of publication

    Sofie

  • Event location

    Sozopol

  • Event date

    Jun 18, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000526176700050