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Miscellanea Geographica

Regional Studies on Development

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CiteScore 2016: 0.40

SCImago Journal Rank (SJR) 2016: 0.227
Source Normalized Impact per Paper (SNIP) 2016: 0.404

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2084-6118
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The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains

Anna M. Jarocińska
  • Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
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/ Monika Kacprzyk
  • Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
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/ Adriana Marcinkowska-Ochtyra
  • Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
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/ Adrian Ochtyra
  • Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
  • University of Warsaw, College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences, Poland
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/ Bogdan Zagajewski
  • Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
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/ Koen Meuleman
Published Online: 2016-04-20 | DOI: https://doi.org/10.1515/mgrsd-2016-0009

Abstract

Information about vegetation condition is needed for the effective management of natural resources and the estimation of the effectiveness of nature conservation. The aim of the study was to analyse the condition of non-forest mountain communities: synanthropic communities and natural grasslands. UNESCO’s M&B Karkonosze Transboundary Biosphere Reserve was selected as the research area. The analysis was based on 40 field test polygons and APEX hyperspectral images. The field measurements allowed the collection of biophysical parameters - Leaf Area Index (LAI), fraction of Absorbed Photosynthetically Active Radiation (fAPAR) and chlorophyll content - which were correlated with vegetation indices calculated using the APEX images. Correlations were observed between the vegetation indices (general condition, plant structure) and total area of leaves (LAI), as well as fraction of Absorbed Photosynthetically Active Radiation (fAPAR). The outcomes show that the non-forest communities in the Karkonosze are in good condition, with the synanthropic communities characterised by better condition compared to the natural communities.

Keywords: Mountain meadows; vegetation condition; APEX; hyperspectal remote sensing; vegetation indices; biophysical parameters

References

  • Cho, MA & Skidmore, AK 2009, ‘Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella National Park, Italy’, International Journal of Remote Sensing, vol. 30(2), pp. 499-515.Web of ScienceGoogle Scholar

  • Darvishzadeh, R, Atzberger, C & Skidmore, AK 2006, ‘Hyperspectral vegetation indices for estimation of leaf area index’, ISPRS Commission VII Mid-term Symposium, Enschede, the Netherlands, pp. 391-396. Available from: Purdue University: <ftp://ftp.ecn.purdue.edu/jshan/proceedings/ISPRS_Comm7_2006/PDF%20FIles/233%20Darvishzadeh/isprs2006-darvish.pdf>. [5 August 2015].Google Scholar

  • di Bella, CM, Paruelos, JM, Becerra, JE, Bacour, C & Baret, F 2004, ‘Effect of senescent leaves on NDVI-based estimates of fAPAR: experimental and modelling evidences’, International Journal of Remote Sensing, vol. 25, no. 23, pp. 5415-5427.Google Scholar

  • Fourty, T, Baret, F, Jacquemoud, S, Schmuck, G & Verdebout, J 1996, ‘Leaf Optical Properties with Explicit Description of Its Biochemical Composition: Direct and Inverse Problems’, Remote Sensing of Environment, vol. 56, pp. 104-117.CrossrefGoogle Scholar

  • Gamon, J, Penuelas, J & Field, C 1992, ‘A Narrow-Waveband Spectral Index That Tracks Diurnal Changes in Photosynthetic Efficiency’, Remote Sensing of Environment, vol. 41, pp. 35-44.CrossrefGoogle Scholar

  • He, Y, Guo, X & Wilmshurst, J 2006, ‘Studying mixed grassland ecosystems I: suitable hyperspectral vegetation indices’, Journal of Remote Sensing, vol. 23, no. 2, pp. 98-107.Google Scholar

  • Hsu, CW, Chang, CC & Lin, CJ 2010, A practical guide to support vector classification. National Taiwan University. Taiwan. Available from: http://ntu.csie.org/~cjlin/papers/guide/guide.pdf. [5 August 2015].Google Scholar

  • Hunt, ER & Rock, BN 1989, ‘Detection of changes in leaf water content using near- and middle-infrared reflectances’, Remote Sensing of Environment, vol. 30, pp. 43-54.CrossrefGoogle Scholar

  • Jarocińska, A, 2014. Radiative Transfer Model parametrization for simulating the reflectance of meadow vegetation. Miscellanea Geographica, 18(2): 5-9.Google Scholar

  • Jarocińska, A & Zagajewski, B 2008, ‘Korelacje naziemnych i lotniczych teledetekcyjnych wskaźników roślinności dla zlewni Bystrzanki’, Teledetekcja Środowiska, vol. 40, pp. 100-125.Google Scholar

  • Jarocińska, A, Zagajewski, B, Ochtyra, A, Marcinkowska, A & Kupkova, L 2014a, ‘PROSAIL model for reflectance simulations of mountainous non-forest communities’, EARSeL eProceedings, vol. 13, no. 1, pp. 18-23.Google Scholar

  • Jarocińska, A, Zagajewski, B, Ochtyra, A, Marcinkowska- Ochtyra, A, Kycko, M & Pabjanek, P 2014b, ‘Przebieg klęski ekologicznej w Karkonoszach i Górach Izerskich na podstawie analizy zdjęć satelitarnych Landsat’, Wydawnictwo pokonferencyjne - konferencja naukowa z okazji 55-lecia Karkonoskiego Parku Narodowego „25 lat po klęsce ekologicznej w Karkonoszach i Górach Izerskich - obawy a rzeczywistość”, pp. 47-61.Google Scholar

  • Jelének, J, Kupková, L, Zagajewski, B, Březina, S, Ochtyra, A & Marcinkowska, A 2014, ‘Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park’, Miscellanea Geographica - Regional Studies on Development, vol. 18, no. 2, pp. 15-22.Google Scholar

  • Jensen, JR 1983, ‘Biophysical Remote sensing - Review Article’, Annals of the Associations of American Geographers, vol. 73(1), pp. 111-132.Google Scholar

  • Kycko, M, Zagajewski, B & Kozłowska, A 2014, ‘Variability in spectral characteristics of trampled high-mountain grasslands’, Miscellanea Geographica - Regional Studies on Development, vol. 18, no. 2, pp. 10-14.Google Scholar

  • Marcinkowska, A, Zagajewski, B, Ochtyra, A, Jarocińska, E, Raczko, E, Kupková, L, Stych, P & Meuleman, K 2014, ‘Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines’, Miscellanea Geographica - Regional Studies on Development, vol. 18, no. 2, pp. 23-29.Google Scholar

  • Myneni, RB & Williams, DL 1994, ‘On the relationship between FAPAR and NDVI’, Remote Sensing of Environment, vol. 49, pp. 200-211.CrossrefGoogle Scholar

  • Peñuelas, J, Filella, I, Biel, C, Serrano, L & Save, R 1995, ‘The reflectance at the 950-970 region as an indicator of plant water status’, International Journal of Remote Sensing, vol. 14, pp. 1887-1905.Google Scholar

  • Rapp, M, Schweiger, A & Haller, R 2013, ‘Biomass-mapping of alpine grassland with APEX imaging spectrometry data, Mittersill’, Conference Volume of 5th Symposium for Research in Protected Areas, pp. 631-637. Available from: <http://www.zobodat.at/pdf/NP-Hohe-Tauern-Conference_ 5_0631-0637.pdf>. [5 August 2015].Google Scholar

  • Sims, DA & Gamon, JA 2002, ‘Relationships between leaf pigment content and spectral reflectance cross a wide range of species, leaf structures and developmental stages’, Remote Sensing of Environment, vol. 81, pp. 337-354.CrossrefGoogle Scholar

  • Ustin, SL, Roberts, DA, Gamon, JA, Asner, GP, Green, RO 2004, ‘Using Imaging Spectroscopy to Study Ecosystem Processes and Properties’, Bioscience, vol. 54 (6), pp. 523-533.Google Scholar

  • Żołnierz, L & Wojtuń, B 2013, ‘Roślinność subalpejska i alpejska’ in Przyroda Karkonoskiego Parku Narodowego eds R Knapik & A Raj, Karkonoski Park Narodowy, Jelenia Góra, pp. 241-278.Google Scholar

  • Żołnierz, L, Wojtuń, B & Przewoźnik, L 2012, Ekosystemy nieleśne Karkonoskiego Parku Narodowego, Karkonoski Park Narodowy, Jelenia Góra, pp. 100.Google Scholar

About the article

Received: 2015-07-20

Accepted: 2016-02-10

Published Online: 2016-04-20

Published in Print: 2016-03-01


Citation Information: Miscellanea Geographica, ISSN (Online) 2084-6118, DOI: https://doi.org/10.1515/mgrsd-2016-0009.

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© by Anna M. Jarocińska. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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