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Mapping Forest Fuels through Vegetation Phenology: The Role of Coarse-Resolution Satellite Time-Series

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  • Sofia Bajocco
  • Eleni Dragoz
  • Ioannis Gitas
  • Daniela Smiraglia
  • Luca Salvati
  • Carlo Ricotta

Abstract

Traditionally fuel maps are built in terms of ‘fuel types’, thus considering the structural characteristics of vegetation only. The aim of this work is to derive a phenological fuel map based on the functional attributes of coarse-scale vegetation phenology, such as seasonality and productivity. MODIS NDVI 250m images of Sardinia (Italy), a large Mediterranean island with high frequency of fire incidence, were acquired for the period 2000–2012 to construct a mean annual NDVI profile of the vegetation at the pixel-level. Next, the following procedure was used to develop the phenological fuel map: (i) image segmentation on the Fourier components of the NDVI profiles to identify phenologically homogeneous landscape units, (ii) cluster analysis of the phenological units and post-hoc analysis of the fire-proneness of the phenological fuel classes (PFCs) obtained, (iii) environmental characterization (in terms of land cover and climate) of the PFCs. Our results showed the ability of coarse-resolution satellite time-series to characterize the fire-proneness of Sardinia with an adequate level of accuracy. The remotely sensed phenological framework presented may represent a suitable basis for the development of fire distribution prediction models, coarse-scale fuel maps and for various biogeographic studies.

Suggested Citation

  • Sofia Bajocco & Eleni Dragoz & Ioannis Gitas & Daniela Smiraglia & Luca Salvati & Carlo Ricotta, 2015. "Mapping Forest Fuels through Vegetation Phenology: The Role of Coarse-Resolution Satellite Time-Series," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    • Handle: RePEc:plo:pone00:0119811
    DOI: 10.1371/journal.pone.0119811
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    Cited by:

    1. Katarzyna Kopczewska, 2022. "Spatial machine learning: new opportunities for regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 713-755, June.
    2. Chaoxue Tan & Zhongke Feng, 2023. "Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    3. Rares Halbac-Cotoara-Zamfir & Gloria Polinesi & Francesco Chelli & Luca Salvati & Leonardo Bianchini & Alvaro Marucci & Andrea Colantoni, 2022. "Found in Complexity, Lost in Fragmentation: Putting Soil Degradation in a Landscape Ecology Perspective," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    4. Matteo Clemente, 2023. "Rethinking “Streetline Forestscapes” in a Broader Context of Urban Forestry: In-Between Ecological Services and Landscape Design, with Some Evidence from Rome, Italy," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    5. Salvati, Luca, 2023. "Two wrongs don't make a right: A multi-step decomposition of latent dimensions of sustainable development and desertification risk in Italy," Ecological Economics, Elsevier, vol. 212(C).
    6. Vito Imbrenda & Rosa Coluzzi & Francesca Mariani & Bogdana Nosova & Eva Cudlinova & Rosanna Salvia & Giovanni Quaranta & Luca Salvati & Maria Lanfredi, 2023. "Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    7. Mohamed Elhag & Silvena Boteva, 2021. "The Canadian versus the National Forest Fire Danger Rating Systems tested in Mediterranean forests fire Crete, Greece," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4973-4983, April.
    8. Rares Halbac-Cotoara-Zamfir & Asdrubal Jesus Farias-Ramirez & Jarbas Honorio de Miranda & Maria Alejandra Moreno-Pizani & Sergio Nascimento Duarte & Franklin Javier Paredes-Trejo & Luca Salvati & Cris, 2022. "Simulation of Subsurface Drainage in the Sugarcane Crop under Different Spacing and Drain Depths," Land, MDPI, vol. 11(5), pages 1-20, April.
    9. Leonardo Bianchini & Alvaro Marucci & Adele Sateriano & Valerio Di Stefano & Riccardo Alemanno & Andrea Colantoni, 2021. "Urbanization and Long-Term Forest Dynamics in a Metropolitan Region of Southern Europe (1936–2018)," Sustainability, MDPI, vol. 13(21), pages 1-13, November.
    10. Maria Lanfredi & Rosa Coluzzi & Vito Imbrenda & Bogdana Nosova & Massimiliano Giacalone & Rosario Turco & Marcela Prokopovà & Luca Salvati, 2023. "In-between Environmental Sustainability and Economic Viability: An Analysis of the State, Regulations, and Future of Italian Forestry Sector," Land, MDPI, vol. 12(5), pages 1-21, May.
    11. Maurizio Marchi & Francesco Chianucci & Carlotta Ferrara & Giorgio Pontuale & Elisa Pontuale & Anastasios Mavrakis & Nathan Morrow & Fabrizio Rossi & Luca Salvati, 2018. "Sustainable Land-Use, Wildfires, and Evolving Local Contexts in a Mediterranean Country, 2000–2015," Sustainability, MDPI, vol. 10(11), pages 1-13, October.
    12. Pere Serra & Luca Salvati, 2022. "Land Change Science and the STEPLand Framework: An Assessment of Its Progress," Land, MDPI, vol. 11(7), pages 1-38, July.
    13. Rosanna Salvia & Valentina Quaranta & Adele Sateriano & Giovanni Quaranta, 2022. "Land Resource Depletion, Regional Disparities, and the Claim for a Renewed ‘Sustainability Thinking’ under Early Desertification Conditions," Resources, MDPI, vol. 11(3), pages 1-14, March.
    14. Luca Salvati & Ilaria Tombolini & Roberta Gemmiti & Margherita Carlucci & Sofia Bajocco & Luigi Perini & Agostino Ferrara & Andrea Colantoni, 2017. "Complexity in action: Untangling latent relationships between land quality, economic structures and socio-spatial patterns in Italy," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-17, June.
    15. Gianluigi Salvucci & Donato Scarpitta & Marco Maialetti & Kostas Rontos & Stefano Bigiotti & Adele Sateriano & Alessandro Muolo, 2024. "Measuring Data Quality from Building Registers: A Case Study in Italy," Geographies, MDPI, vol. 4(3), pages 1-16, September.

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