IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i1p194-d1027821.html
   My bibliography  Save this article

Environmental Forest Fire Danger Rating Systems and Indices around the Globe: A Review

Author

Listed:
  • Ioannis Zacharakis

    (Centre for the Assessment of Natural Hazards and Proactive Planning, Laboratory of Reclamation Works and Water Resources Management, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 9 Heroon Polytechniou St., Zographou, 15780 Athens, Greece)

  • Vassilios A. Tsihrintzis

    (Centre for the Assessment of Natural Hazards and Proactive Planning, Laboratory of Reclamation Works and Water Resources Management, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 9 Heroon Polytechniou St., Zographou, 15780 Athens, Greece)

Abstract

The objective of the present review is to analyze and evaluate the most used and well-performing environmental forest fire danger rating systems and indices globally, aiming to the creation of an integrated forest fire danger system for Greece. The analysis emphasizes the core input parameters that have been associated with forest fire danger (i.e., weather, vegetation, topography, and hydrology) and the computational procedure of each system index as well as the categorization of the output values. Online search engines such as Scopus, Google Scholar, WorldWideScience, ScienceDirect, and ResearchGate were used in the search for relevant literature published in scientific journals, manuals, and reports. The retrieved studies were classified and reviewed. Studies were selected for analytically describing the calculation process related to forest fire danger ignition and not being strictly geographically bound. A total of 210 studies were included in the current review, describing 63 forest fire danger systems and indices. These were analyzed and evaluated based on a scoring system. Overall, the top-rated indices were the: Nesterov’s index, Sharples’ index, Keetch and Byram’s drought index, Telicyn logarithmic, and vapor pressure deficit, and the 3rd and the 4th also proved to be the most accurate for fire-prone regions. Remote sensing indices also proved to be promising in forest fire danger estimation.

Suggested Citation

  • Ioannis Zacharakis & Vassilios A. Tsihrintzis, 2023. "Environmental Forest Fire Danger Rating Systems and Indices around the Globe: A Review," Land, MDPI, vol. 12(1), pages 1-35, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:194-:d:1027821
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/194/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/1/194/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cunha, Angélica Carvalho & Filho, Luís Roberto Almeida Gabriel & Tanaka, Adriana Aki & Goes, Bruno Cesar & Putti, Fernando Ferrari, 2021. "Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    3. Masoud Derakhshandeh & Mustafa Tombul, 2022. "Calibration of METRIC Modeling for Evapotranspiration Estimation Using Landsat 8 Imagery Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 315-339, January.
    4. Zhou, Hanmi & Ma, Linshuang & Niu, Xiaoli & Xiang, Youzhen & Chen, Jiageng & Su, Yumin & Li, Jichen & Lu, Sibo & Chen, Cheng & Wu, Qi, 2024. "A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain," Agricultural Water Management, Elsevier, vol. 296(C).
    5. Lima, Carlos Eduardo Santos de & Costa, Valéria Sandra de Oliveira & Galvíncio, Josiclêda Domiciano & Silva, Richarde Marques da & Santos, Celso Augusto Guimarães, 2021. "Assessment of automated evapotranspiration estimates obtained using the GP-SEBAL algorithm for dry forest vegetation (Caatinga) and agricultural areas in the Brazilian semiarid region," Agricultural Water Management, Elsevier, vol. 250(C).
    6. Shirin Moradi & Thomas Heinze & Jasmin Budler & Thanushika Gunatilake & Andreas Kemna & Johan Alexander Huisman, 2021. "Combining Site Characterization, Monitoring and Hydromechanical Modeling for Assessing Slope Stability," Land, MDPI, vol. 10(4), pages 1-23, April.
    7. Nguru, Wilson & Abera, Wuletawu & Ouedraogo, Issa & Chege, Christine & Kane, Babacar & Bougouma, Katiana & Mwongera, Caroline, 2023. "Spatial estimation of flood residual water cultivation (FRWC) potential for food security in Sédhiou and Tambacounda regions of Sénégal," Agricultural Water Management, Elsevier, vol. 287(C).
    8. Ayyad, Saher & Karimi, Poolad & Langensiepen, Matthias & Ribbe, Lars & Rebelo, Lisa-Maria & Becker, Mathias, 2022. "Remote sensing assessment of available green water to increase crop production in seasonal floodplain wetlands of sub-Saharan Africa," Agricultural Water Management, Elsevier, vol. 269(C).
    9. Ouaadi, Nadia & Jarlan, Lionel & Khabba, Saïd & Le Page, Michel & Chakir, Adnane & Er-Raki, Salah & Frison, Pierre-Louis, 2023. "Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?," Agricultural Water Management, Elsevier, vol. 282(C).
    10. Shirmohammadi-Aliakbarkhani, Zahra & Saberali, Seyed Farhad, 2020. "Evaluating of eight evapotranspiration estimation methods in arid regions of Iran," Agricultural Water Management, Elsevier, vol. 239(C).
    11. Yao, Ning & Li, Yi & Liu, Qingzhu & Zhang, Siyuan & Chen, Xinguo & Ji, Yadong & Liu, Fenggui & Pulatov, Alim & Feng, Puyu, 2022. "Response of wheat and maize growth-yields to meteorological and agricultural droughts based on standardized precipitation evapotranspiration indexes and soil moisture deficit indexes," Agricultural Water Management, Elsevier, vol. 266(C).
    12. Tulip, Shibli Sadik & Siddik, Md Sifat & Islam, Md. Nazrul & Rahman, Atikur & Torabi Haghighi, Ali & Mustafa, Syed Md Touhidul, 2022. "The impact of irrigation return flow on seasonal groundwater recharge in northwestern Bangladesh," Agricultural Water Management, Elsevier, vol. 266(C).
    13. Roy, Dilip Kumar & Lal, Alvin & Sarker, Khokan Kumer & Saha, Kowshik Kumar & Datta, Bithin, 2021. "Optimization algorithms as training approaches for prediction of reference evapotranspiration using adaptive neuro fuzzy inference system," Agricultural Water Management, Elsevier, vol. 255(C).
    14. Kim, Ho-Jun & Chandrasekara, Sewwandhi & Kwon, Hyun-Han & Lima, Carlos & Kim, Tae-woong, 2023. "A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 275(C).
    15. Liu, Yi & Hu, Yue & Wei, Chenchen & Zeng, Wenzhi & Huang, Jiesheng & Ao, Chang, 2024. "Synergistic regulation of irrigation and drainage based on crop salt tolerance and leaching threshold," Agricultural Water Management, Elsevier, vol. 292(C).
    16. Lai, Chengguang & Chen, Xiaohong & Zhong, Ruida & Wang, Zhaoli, 2022. "Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change," Agricultural Water Management, Elsevier, vol. 259(C).
    17. Chen, Xinguo & Li, Yi & Yao, Ning & Liu, De Li & Javed, Tehseen & Liu, Chuncheng & Liu, Fenggui, 2020. "Impacts of multi-timescale SPEI and SMDI variations on winter wheat yields," Agricultural Systems, Elsevier, vol. 185(C).
    18. Dang, Chiheng & Zhang, Hongbo & Yao, Congcong & Mu, Dengrui & Lyu, Fengguang & Zhang, Yu & Zhang, Shuqi, 2024. "IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change," Agricultural Water Management, Elsevier, vol. 291(C).
    19. Yang, Yong & Chen, Rensheng & Han, Chuntan & Liu, Zhangwen, 2021. "Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China," Agricultural Water Management, Elsevier, vol. 244(C).
    20. Chia, Min Yan & Huang, Yuk Feng & Koo, Chai Hoon, 2021. "Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine," Agricultural Water Management, Elsevier, vol. 243(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:194-:d:1027821. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.