The use of NDVI and CORINE Land Cover databases for forest management in Serbia

Authors

  • Miomir M. Jovanović University of Belgrade Faculty of Geography Studentski trg 3/3, Belgrade, Serbia
  • Miško M. Milanović University of Belgrade Faculty of Geography Studentski trg 3/3, Belgrade, Serbia
  • Matija Zorn Anton Melik Geographical Institute Research Centre of the Slovenian Academy of Sciences and Arts Gosposka ulica 13, SI – Ljubljana

DOI:

https://doi.org/10.3986/AGS.818

Keywords:

NDVI, Corine Land Cover, forest management, illegal logging, Serbia

Abstract

A normalized difference vegetation index provides local forest managers with much essential annual information about the forest inventory. This article evaluates the possible use of NDVI and CORINE Land Cover databases for better forest management in the municipalities of Kursumlija and Topola in Serbia. The forest areas obtained using CLC were up to 11.5% larger than the official forest area estimates, whereas NDVI gave more precise results. This is of a crucial importance for preventing illegal logging, which is very prevalent in southern Serbian municipalities, which have substantial forested territory. NDVI is very promising for Serbia and also for countries that rarely carry out national forest inventories. This method can also easily be applied to other Balkan countries with a similar situation regarding local forest management.

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References

Alessandrini, A., Vessella, F., Di Filippo, A., Salis, A., Santi, L., Schirone, B., Piovesan, G. 2010: Combined dendroecological and normalized difference vegetation index analysis to detect regions of provenance in forest species. Scandinavian Journal of Forest Research 25-8. DOI: https://doi.org/10.1080/02827581.2010.485776

Amacher, G., Ollikainen, M., Koskela, E. 2009: Economics of forest resources. Cambridge.

Anfodillo, T., Carrer, M., Giacoma, E., Lamedica, S., Pettenella, D. 2008: Challenges and priority for adapting the management of Carpathians forests to new environmental and socio-economic conditions. Internet: http://www.carpathianconvention.org/tl_files/carpathiancon/Downloads/03%20Meetings%20and%20Events/COP/2008_COP2_Bucharest/COP2_Information%20documents/16Report2_ForestPolicy.pdf (17. 4. 2014).

Bakx, P. 1995: Digital image processing of remotely sensed data. Enschede.

Bellone, T., Boccardo, P., Perez, F. 2009: Investigation of vegetation dynamics using long-term normalized difference vegetation index time-series. American Journal of Environmental Sciences 5-4. New York. DOI: https://doi.org/10.3844/ajessp.2009.461.467

Bossard, M., Feranec, J., Otahel, J. 2000: CORINE Land Cover technical guide – addendum 2000. Technical report 40. Copenhagen. Internet: http://www.eea.europa.eu/publications/tech40add (17. 4. 2014).

Brack, D. 2003: Illegal logging and the illegal trade in forest and timber products. International Forestry Review 5-3. Oxford. DOI: https://doi.org/10.1505/IFOR.5.3.195.19148

Büttner, G., Kleeschulte, S. 2005: Implementation of CLC2000 in Serbia-Montenegro – technical annex.

Campbell, J., Wynne, R. 2011: Introduction to remote sensing. New York.

Chakravarty, S., Ghosh, S. K., Suresh, C. P., Dey, A. N., Shukla, G. 2012: Deforestation: causes, effects and control strategies. Global Perspectives on Sustainable Forest Management. Rijeka.

Chavez , S. jr. 1996: Image-based atmospheric corrections - revisited and improved. Photogrammetric Engineering and Remote Sensing 62.

Chen, C. H. (ed.) 2008: Image processing for remote sensing. New York.

Chen, J., Jonsson, P., Tamura, M., Gu, Z., Matsushita, B., Eklundh, L. 2004: A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter. Remote sensing of environment 91, 1–2. New York. DOI: https://doi.org/10.1016/j.rse.2004.03.014

Chowdhury, R. R. 2006: Driving forces of tropical deforestation: The role of remote sensing and spatial models. Singapore Journal of Tropical Geography 27-1. Singapore. DOI: https://doi.org/10.1111/j.1467-9493.2006.00241.x

CLC2006 Technical Guidelines. EEA Technical report No. 17. Copenhagen, 2007. Internet: http://www.eea.europa.eu/publications/technical_report_2007_17 (17. 4. 2014).

Contreras-Hermosilla, A. 2000: The underlying causes of forest decline. Center for International Forestry Research occasional paper 30. Bogur. Internet: http://www.cifor.org/publications/pdf_files/OccPapers/OP-030.pdf (17. 4. 2014).

CORINE Land cover - Part 1: Methodology. European Environment Agency, 1994. Internet: http://www.eea.europa.eu/publications/COR0-part1 (17. 4. 2014).

Corral-Rivas, J. J., Wehenkel, C., Castellanos-Bocaz, H. A., Vargas-Larreta, B., Dieguez-Aranda, U. 2010: A permutation test of spatial randomness: Application to nearest neighbour indices in forest stands. Journal of Forest Research 15-4. DOI: https://doi.org/10.1007/s10310-010-0181-1

Dale, V. H. 2008: Management of forests as ecosystems: A success story or a challenge ahead? Success, limitations, and frontiers in ecosystem Science. New York.

Deforestation in the Russian Taiga. Internet: http://www-pub.naz.edu:9000/~jwitten2/about.htm (17. 4. 2014).

De Jong, S. M., Van der Meer, F. D. 2005: Remote sensing image analysis: including the spatial domain. Dordrecht.

Eastman R. J. 2001: IDRISI32 Release 2 – Tutorial. Worcester.

Fensholt, R., Rasmussen, K., Nielsen, T. T., Mbow, C. 2009: Evaluation of earth observation based long term vegetation trends – Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data. Remote Sensing of Environment 113-9. New York. DOI: https://doi.org/10.1016/j.rse.2009.04.004

Finelli, M., Gelli, G., Poggi, G. 1996: Multispectral-image coding by spectral classification. Proceedings: International conference on image processing 2. Lausanne.

Forestry development strategy for Serbia. Ministry of Agriculture, Forestry and Water Management, Directorate of Forests. Belgrade, 2006.

Franklin, S. 2001: Remote sensing for sustainable forest management. New York

Gabrovec, M., Petek, F. 2004: V Sloveniji vedno manj gozda? (Ne)uporabnost metodologije CORINE Land Cover. Delo 46-303 (30. 12. 2004). Ljubljana.

Genovese, G., Vignolles, C, Negre, T., Passera, G. 2001: A methodology for a combined use of normalised difference vegetation index and CORINE land cover data for crop yield monitoring and forecasting: A case study on Spain. Agronomie 21-1. DOI: https://doi.org/10.1051/agro:2001111

Glavonjic, B., Jovic, D., Vasiljevic, A., Kankaras, R. 2005: Forest and forest products country profile: Serbia and Montenegro. Geneva Timber and Forest Discussion Paper 40. Geneva. Internet: http://www.unece.org/fileadmin/DAM/timber/docs/dp/dp-40.pdf (17. 4. 2014).

Hájek, F. 2008: Process-based approach to automated classification of forest structures using medium format digital aerial photos and ancillary GIS information. European Journal of Forest Research 127-2. DOI: https://doi.org/10.1007/s10342-007-0188-0

Heymann, Y., Steenmans, C. H., Croissille, G., Bossard, M. 1994: CORINE land cover, technical guide. Luxembourg.

Hočevar, M., Kobler, A. 2001: Uporaba podatkov CORINE Land Cover za izgradnjo informacijskega sistema o gozdovih na državni ravni. Gozdarski vestnik 46-3.

Hočevar, M., Hladnik, D. 2006: Development of forest monitoring methods for sustainable forest management in Slovenia. Nature-based forestry in Central Europe: alternatives to industrial forestry and strict preservation. Ljubljana.

Illegal logging activities in the Republic of Serbia - A. Fact-finding study. Regional Environmental Center. Belgrade, 2009. Internet: http://illegallogging.rec.org/publications/SRB_IL%20Fact%20Finding_Final.pdf (17. 4. 2014).

Jensen, J. R. 2007: Remote sensing of the environment: an earth resource perspective. Upper Saddle River.

Johnson, L. F., Trout, T. J. 2012: Satellite NDVI assisted monitoring of vegetable crop evapotranspiration in California’s San Joaquin Valley. Remote Sensing 4-2. DOI: https://doi.org/0.3390/rs4020439

Jovanović, M. 2012: Kuznets curve and urban transport - The scope of I+M programs. Glasnik Srpskog geografskog društva 92-4. DOI: https://doi.org/10.2298/GSGD1204127J

Klaučo, M., Weis, K., Stankov, U., Arsenovic, D., Marković, V. 2012: Ecological significance of land-cover based on interpretation of human-tourism impact. a case from two different protected areas (Slovakia and Serbia). Carpathian Journal of Earth and Environmental Sciences 7-3.

Koblar, A. 2012: Daljinsko zaznavanje gozdov z lidarjem. Ljubljana.

Lee, B., Kim, S. Y., Chung, J., Park, P. S. 2008: Estimation of fire severity by use of Landsat TM images and its relevance to vegetation and topography in the 2000 Samcheok forest fire. Journal of Forest Research 13. DOI: https://doi.org/10.1007/s10310-008-0072-x

Lillesand, T. M., Kieffer, R. W., Chipman, J. W. 2004: Remote sensing and image interpretation. New York.

Lisec, A., Pišek, J., Drobne, S. 2013: Suitability analysis of land use records of agricultural and forest land for detecting land use change on the case of the Pomurska Statistical Region. Acta geographica Slovenica 53-1. DOI: https://doi.org/10.3986/AGS53104

Lunetta, R. S., Knight, J. F., Ediriwickrema, J., Lyon, J. G., Worthy, L. D. 2007: Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sensing of Environment 105-2. DOI: https://doi.org/0.1016/j.rse.2006.06.018

Martínez, B., Gilabert, M. A. 2009: Vegetation dynamics from NDVI time series analysis using the wavelet transform. Remote Sensing of Environment 113-9. DOI: https://doi.org/10.1016/j.rse.2009.04.016

McKean, M. 2000: Common Property: What is it, what is it good for, and what makes it work? People and forests: communities, institutions, and governance. Cambridge.

Meng, Q., Cieszewski, C., Madden, M. 2009: Large area forest inventory using Landsat ETM+: A geostatistical approach. ISPRS Journal of Photogrammetry and Remote Sensing 64-1. DOI: https://doi.org/10.1016/j.isprsjprs.2008.06.006

Milanović, M., Lješević, M., Bakrač, S., Novković, I. 2008: Possibility analysis of vegetation processing satellite images of infrared spectrum. Proceedings of the 9th International Conference on Fundamental and Applied Aspects of Physical Chemistry 2. Belgrade.

Montandon, L. M., Small, E. E. 2008: The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI. Remote Sensing of Environment 112-4. DOI: https://doi.org/10.1016/j.rse.2007.09.007

Municipalities and regions of the Republic of Serbia. Statistical Office of the Republic of Serbia. Belgrade, 2008.

Municipalities and regions of the Republic of Serbia. Statistical Office of the Republic of Serbia. Belgrade, 2013.

Ne Win, R., Suzuki, R., Takeda, S. 2012: Remote sensing analysis of forest damage by selection logging in the Kabaung Reserved Forest, Bago Mountains, Myanmar. Journal of Forest Research 17-2. DOI: https://doi.org/10.1007/s10310-011-0276-3

Neumann, K., Herold, M., Hartley, A., Schmullius, C. 2007: Comparative assessment of CORINE2000 and GLC2000: Spatial analysis of land cover data for Europe. International Journal of Applied Earth Observation and Geoinformation 9-4. DOI: https://doi.org/10.1016/j.jag.2007.02.004

Ojea, E., Ruiz-Benito, P., Markandya, A., Zavala, M. A. 2012: Wood provisioning in Mediterranean forests: A bottom-up spatial valuation approach. Forest Policy and Economics 20. DOI: https://doi.org/10.1016/j.forpol.2012.03.003

Oštir, K. 2006: Daljinsko zaznavanje. Ljubjana.

Pagiola, S., Landell-Mills, N, Bishop, J. 2002: Selling forest environmental services. London.

Perdigão, V., Annoni, A. 1997: Technical and methodological guide for updating CORINE land cover data base. Internet: http://www.ec-gis.org/docs/F27057/CORINE.PDF (17. 4. 2014).

Report on the status of land in the Republic of Serbia. Agency for environmental protection, Ministry of Agriculture and Environmental Protection, Belgrade, 2009.

Schmitt, U., Ruppert, G. 1996: Forest classification of multispectral mosaicking satellite images. Archives of Photogrammetry and Remote Sensing 31.

Skudnik, M., Kušar, G. 2013: Use of 3d process-based model to determine forests protecting against rockfall – case study Kamniška Bistrica. Acta geographica Slovenica 51-2. DOI: https://doi.org/10.3986/AGS51202

Steininger, M. K., Tucker, C. J, Townshend, J. R. G., Killeen, T. J., Desch, A., Bell, V., Ersts, P. 2001: Tropical deforestation in the Bolivian Amazon. Environment Conservation Journal 28-2. DOI: https://doi.org/10.1017/S0376892901000133

Tietenberg, T., Lewis, L. 2012: Environmental and natural resource economics. Boston.

Tracy, L. A. 1994: The deforestation of Siberia: economic and environmental problems in Russian Forest Management. Forest industry lecture 32. Edmonton.

Vohland, M., Stoffels, J., Hau, C., Schüler, G. 2007: Remote sensing techniques for forest parameter assessment: multispectral classification and linear spectral mixture analysis. Silva Fennica 41-3.

Wang, Q., Tenhunen, J. 2004: Vegetation mapping with multitemporal NDVI in North Eastern China Transect (NECT). International Journal of Applied Earth Observation and Geoinformation 6. DOI: https://doi.org/10.1016/j.jag.2004.07.002

Weier, J., Herring, D. 2000: Measuring vegetation (NDVI & EVI). Earth Observatory, 30. 8. 2000. Internet: http://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_1.php (4. 11. 2012).

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Published

01-01-2018

How to Cite

Jovanović, M. M., Milanović, M. M., & Zorn, M. (2018). The use of NDVI and CORINE Land Cover databases for forest management in Serbia. Acta Geographica Slovenica, 58(1), 109–123. https://doi.org/10.3986/AGS.818