Counting fuel properties as input in the wildfire spreading capacities of vegetated surfaces: case of Albania


  • Artan HYSA Epoka University, Faculty of Architecture and Engineering, Tirana (AL)
  • Zydi TEQJA Agricultural University of Tirana, Faculty of Agriculture and Environment, Tirana (AL)



analytic hierarchy process; disaster risk reduction; NDVI; QGIS; wildfire


Extreme weather conditions characterized by increased peak temperatures and stretched draught seasons are expected to boost up wildfire vulnerability in Mediterranean countries such as Albania. Thus, estimations about wildfire spread capacities of the territory are crucial. In this paper we introduce four new parameters into the indexing method for classifying the forested lands by their wildfire spreading capacity (WSCI). Land cover type via Corine Land Cover (CLC), Plant heat zones, Tree cover density (TCD), and Normalized difference vegetation index (NDVI) are integrated along with the previous set of criteria. The analytical steps of the process are performed in QGIS software including the Semi-Automatic Classification Plugin (SCP) which is useful in calculating NDVI values. The diversity among the inventory values of the selected criteria urges for a normalizing procedure within QGIS. Besides, each criterion is foreseen to have a specific impact on the WSCI value, which is weighted via Analytic Hierarchy Process (AHP). The sum of the products of the normalized class and the weighted impact factor of each criterion generates the WSCI value. The validation relies on the comparison between the index values of points being located within the burned areas and the values of the remaining locations. The results have shown that the former set of points have higher WSCI mean value then the latter group of points. Lastly, the parametric vulnerability assessment method presented here enables useful materials in support of wildfire risk reduction within the national priorities of disaster risk management and fire safety agendas in Albania. 


Alface AB, Pereira SB, Filgueiras R, Cunha FF (2019). Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI. Revista Brasileira de Engenharia Agrícola e Ambiental 23(5):330-335.

Büttner G (2014). CORINE Land Cover and Land Cover Change Products. In: Manakos I, Braun M (Eds). Land Use and Land Cover Mapping in Europe: Practices & Trends. Springer, Dordrecht, Netherlands pp 55-74.

Cardille JA, Ventura SJ, Turner MG (2001). Environmental and social factors influencing wildfires in the Upper Midwest, United States. Ecological Applications 11(1):111-127.[0111:easfiw];2

Chapin FS, Trainor SF, Huntington O, Lovecraft AL, Zavaleta E, Natcher DC, Fresco N (2008). Increasing wildfire in Alaska's boreal forest: pathways to potential solutions of a wicked problem. BioScience 58(6):531-540.

Cathey HM (1997). Announcing the AHS plant heat-zone map. American Gardener 76(5):30-37.

Chen J, Jönsson 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(3-4):332-344.

Fick SE, Hijmans RJ (2017). WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37(12):4302-4315.

Fischer AP, Spies TA, Steelman TA, Moseley C, Johnson BR, Bailey JD, Kline JD (2016). Wildfire risk as a socioecological pathology. Frontiers in Ecology and the Environment 14(5):276-284.

Goepel KD (2018). Implementation of an online software tool for the analytic hierarchy process (AHP-OS). International Journal of the Analytic Hierarchy Process 10(3):469-487.

He T, Belcher CM, Lamont BB, Lim SL (2016). A 350‐million‐year legacy of fire adaptation among conifers. Journal of Ecology 104(2):352-363.

Hysa A, Başkaya FAT (2019). A GIS based method for indexing the broad-leaved forest surfaces by their wildfire ignition probability and wildfire spreading capacity. Modeling Earth Systems and Environment 5(1):71-84.

Hysa A (2019). Identifying the forest surfaces prone to fire ignition and wildfire spread in metropolitan areas; a comparative case from western Balkans. Proceedings 30(1):1.

Hysa A, Zeka E, Dervishi S (2017). Multi-criteria Inventory of Burned Areas in Landscape Scale; Case of Albania. K-FORCE first Symposium. Novi Sad, Serbia pp 86-100.

Jaho S, Mici A (1988). Climate atlas of the PSR of Albania. Akademia e Shkencave e RPS të Shqipërisë, Instituti Hidrometeorologjik. Retrieved 2020 April 29 from

Jain A, Nandakumar K, Ross A (2005). Score normalization in multimodal biometric systems. Pattern recognition 38(12):2270-2285.

Kulig J, Botey AP (2016). Facing a wildfire: What did we learn about individual and community resilience?. Natural Hazards 82(3):1919-1929.

Leon JRR, Van Leeuwen WJ, Casady GM (2012). Using MODIS-NDVI for the modeling of post-wildfire vegetation response as a function of environmental conditions and pre-fire restoration treatments. Remote sensing 4(3):598-621.

Leroux L, Congedo L, Bellón B, Gaetano R, Bégué A (2018). Land cover mapping using Sentinel‐2 images and the semi‐automatic classification plugin: A Northern Burkina Faso case study. In: Baghdadi N, Mallet C, Zribi M (Ed). QGIS and Applications in Agriculture and Forest. ISTE Ltd and John Wiley & Sons, Inc. pp 119-151.

Levin N, Tessler N, Smith A, McAlpine C (2016). The human and physical determinants of wildfires and burnt areas in Israel. Environmental Management 58(3):549-562.

Liu Y, Stanturf J, Goodrick S (2010). Trends in global wildfire potential in a changing climate. Forest Ecology and Management 259(4):685-697.

McMahon ME, Kofranek AM, Rubatzky VE (2011). Plant Science: Growth, Development, and Utilization of Cultivated Plants. Prentice Hall (5th ed), Boston.

Moriondo M, Good P, Durao R, Bindi M, Giannakopoulos C, Corte-Real J (2006). Potential impact of climate change on fire risk in the Mediterranean area. Climate Research 31(1):85-95.

Mullaj A, Hoda P, Shuka L, Miho A, Bego F, Qirjo M (2017). About green practices for Albania. Albanian Journal of Agricultural Sciences 31-50.

Nemeth A (2015). Forest Fires in South Eastern Europe. Regional Environmental Center for Central and Eastern Europe. Retrieved 2020 April 30 from

Scott AC (2000). The Pre-Quaternary history of fire. Palaeogeography, Palaeoclimatology, Palaeoecology 164(1-4):281-329.

Sellers PJ (1985). Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing 6(8):1335-1372.

Teqja Z, Kopali A, Libohova Z, Owens PR (2017). A study of the impacts of climate change scenarios on the plant hardiness zones of Albania. Journal of Applied Meteorology and Climatology 56(3):615-631.

Teqja Z, Libohova Z, Owens P, Kopali A (2018). The impact of climate change scenarios on plant heat zones of Albania. Albanian Journal of Agricultural Sciences 56(3):10-21.

Turco M, Llasat MC, von Hardenberg J, Provenzale A (2014). Climate change impacts on wildfires in a Mediterranean environment. Climatic Change 125(3-4):369-380.

Verde JC, Zêzere JL (2010). Assessment and validation of wildfire susceptibility and hazard in Portugal. Natural Hazards & Earth System Sciences 10(3):485-497.

Vitolo C, Di Napoli C, Di Giuseppe F, Cloke HL, Pappenberger F (2019). Mapping combined wildfire and heat stress hazards to improve evidence-based decision making. Environment International 127:21-34.

Zdruli P (2005). Soil survey in Albania. Soil Resources of Europe, European Soil Bureau. Retrieved 2020 April 29 from




How to Cite

HYSA, A., & TEQJA, Z. (2020). Counting fuel properties as input in the wildfire spreading capacities of vegetated surfaces: case of Albania. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 48(3), 1667–1682.



Research Articles
DOI: 10.15835/nbha48311994