Post-fire resilience in the Alpine region estimated from MODIS satellite multispectral data

International Journal of Applied Earth Observation and Geoinformation

Volumn 32, Issue 1, 2014, Pages 163-172

  Di Mauro, B ^a   Fava, F ^a   Busetto, L ^a,b,c   Crosta, G F ^a   Colombo, R ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b JOINT RESEARCH CENTRE   (Italy)

^c INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT   (Italy)

Author keywords

EVI; MODIS time series; NDVI; Phenology; Post fire resilience

Indexed keywords

BROAD-LEAVED FOREST; FOREST ECOSYSTEM; FOREST MANAGEMENT; LAND COVER; LAND SURFACE; MODIS; NDVI; PHENOLOGY; PRAIRIE; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; TIME SERIES; VEGETATION DYNAMICS; WILDFIRE;

ITALY; LOMBARDY;

EID: 84904512831     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.04.010     Document Type: Article

References (77)

1. Alexander, D.E., 2013. Resilience and disaster risk reduction: an etymological journey. Nat. Hazards Earth Syst. 13, 2707-2716.
2. Ascoli, D., Castagneri, D., Valsecchi, C, Conedera, M., Bovio, G., 2013. Post fire restoration of beech stands in the Southern Alps by natural regeneration. Ecol. Eng. 54, 210-217.
3. Bastos, A., Gouveia, CM., DaCamara, C.C., Trigo, R.M., 2011. Modelling post-fire vegetation recovery in Portugal. Biogeosciences 8,3593-3607.
4. Beck, P.S., Atzberger, C, Hogda, K.A., Johansen, B., Skidmore, A.K., 2006. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sens. Environ. 100,321-334.
5. Beghin, R., Lingua, E., Garbarino, M., Lonati, M., Bovio, G., Motta, R., Marzano, R., 2010. Pinus sy/vestris forest regeneration under different post-fire restoration practices in the northwestern Italian Alps. Ecol. Eng. 36 (10), 1365-1372.
6. Bisson, M., Fornaciai, A., Coli, A., Mazzarini, F., Pareschi, M.T., 2008. The Vegetation Resilience After Fire (VRAF) index: development, implementation and an illustration from central Italy. Int. J. Appl. Earth Obs. 10,312-329.
7. Bonan, G., 2008. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320,1444-1449.
8. Bond, W., van Wilgen, B., 1996. Fire and Plants. Chapman & Hall, London.
9. Bowman, D.M.J.S., Balch, J.K., Artaxo, P., Bond, W.J., Carlson, J.M., Cochrane, M.A., D'Antonio, CM., DeFries, R.S., Doyle, J.C, Harrison, S.P., Johnston, F.H., Keeley, J.E., Krawchuk, M.A., Kull, C.A., Marston, J.B., Moritz, M.A., Prentice, I.e., Roos, C.I., Scott, A.C., Swetnam, T.W., van der Werf, G.R., Pyne, S.J., 2009. Fire in the Earth System. Science 324,481-484.
10. Buma, B., 2012. Evaluating the utility and seasonally of NDVI values for assessing post-disturbance recovery in a subalpine forest. Environ. Monit. Assess. 184, 3849-3860.
11. Busetto, L., Colombo, R., Migliavacca, M., Cremonese, E., Meroni, M., Galvagno, M., Rossini, M., Siniscalco, C, Morra Cella, U., Pari, E., 2010. Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region. Glob. Change Biol. 16, 2504-2517.
12. Cane, D., Wastl, C, Barbarino, S., Renier, L.A., Schunk, C, Menzel, A., 2013. Projection of fire potential to future climate scenarios in the Alpine area: some methodological considerations. Climatic Change, 1-14.
13. Carcaillet, C, 1998. A spatially precise study of Holocene fire history, climate and human impact within the Maurienne valley, North French Alps. J. Ecol. 86, 384-396.
14. Casady, G., van Leeuwen, W., Marsh, S., 2010. Evaluating post-wildfire vegetation regeneration as a response to multiple environmental determinants. Environ. Model. Assess. 15, 295-307.
15. Certini, G., 2005. Effects of fire on properties of forest soils: a review. Oecologia 143 (1), 1-10.
16. Chen, X., Xu, C, Tan, Z., 2001. An analysis of relationships among plant community phenology and seasonal metrics of Normalized Difference Vegetation Index in the northern part of the monsoon region of China. Int. J. Biometeorol. 45 (4), 170-177.
17. Chen, X., Vierling, L., Deering, D., Conley, A., 2005. Monitoring boreal forest leaf area index across a Siberian burn chronosequence: a MODIS validation study. Int. J. Remote Sens. 26 (24), 5433-5451.
18. 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 Sens. Environ. 91 (3), 332-344.
19. Colombo, R., Busetto, L., Fava, F., Di Mauro, B., Migliavacca, M., Cremonese, E., Galvagno, M., Rossini, M., Meroni, M., Cogliati, S., Panigada, C, Siniscalco, C, di Cella, U., 2011. Phenological monitoring of grassland and larch in the Alps from Terra and Aqua MODIS images. Ital. J. Remote Sens. 43, 83-96.
20. Comini, B., Cocca, G., Gagliazzi, E., Nastasio, P., Calvo, E., Colombo, R., Di Mauro, B., Busetto, L., Skudnik, M., Sturm, T., Breznikar, A., 2013. Abiotic stressors - fire hazard. In: Cerbu, G. (Ed.), Management Strategies to Adapt Alpine Space Forests to Climate Change Risks. InTech, ISBN: 978-953-51-1194-8.
21. Conedera, M., Cesti, G., Pezzatti, G.B., Zumbrunnen, T., Spinedi, F., 2006. Lightning induced fires in the Alpine region: an increasing problem. In: Viegas, D.X. (Ed.), 5th International Conference on Forest Fire Research, Figueira da Foz, Portugal. University of Coimbra, Coimbra.
22. Coop, J.D., Massatti, R.T., Schoettle, A.W., 2010. Subalpine vegetation pattern three decades after stand-replacing fire: effects of landscape context and topography on plant community composition, tree regeneration, and diversity. J. Veg. Sci. 21 (3), 472-487.
23. Corine Land Cover (CLC) map, 2006. EEA (European Environment Agency).
24. Cuevas-Gonzales, M., Gerard, F., Balzter, H., Riano, D., 2009. Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices. Glob. Change Biol. 15,561-577.
25. Davison, A.C., Hinkley, D.V., 1997. Bootstrap Methods and Their Applications. Cambridge University Press, Cambridge.
26. Diaz-Delgado, R., Lloret, F., Pons, X., 2003. Influence of fire severity on plant regeneration by means of remote sensing imagery. Int. J. Remote Sens. 24,1751-1763.
27. ERSAF (Ente Regionale per i Servizi all' Agricoltura e alle Foreste), 2006. Forest type map of Lombardy Region Italy.
28. Fava, F., Colombo, R., Bocchi, S., Zucca, C, 2012. Assessment of Mediterranean pasture condition using MODIS Normalized Difference Vegetation Index time series. J. Appl. Remote Sens. 6 (1), 063530-63531.
29. Ferreira, L, Yoshioka, H., Huete, A., Sano, E., 2003. Seasonal landscape and spectral vegetation index dynamics in the Brazilian Cerrado: an analysis within the Large-Scale Biosphere-Atmosphere Experiment in Amazzonia (LBA). Rem. Sens. Environ. 87,534-550.
30. Fisher, J.I., Mustard, J.F., 2007. Cross-scalar satellite phenology from ground, Landsat, and MODIS data. Rem. Sens. Environ. 109, 261-273.
31. Frazier, A.E., Renschler, C.S., Miles, S.B., 2013. Evaluating post-disaster ecosystem resilience using MODIS GPP data. Int. J. Appl. Earth Obs. 21,43-52.
32. Gao, X., Huete, A.R., Ni, W., Miura, T., 2000. Optical biophysical relationships of vegetation spectra without background contamination. Rem. Sens. Environ. 74, 609-620.
33. Gitas, I., Mitri, I., Veraverbeke, S., Polychronaki, A., 2012. Advances in remote sensing of post-fire vegetation recovery monitoring - a review. In: Fatoyinbo, L. (Ed.), Remote Sensing of Biomass - Principles and Applications. InTech.
34. Goetz, S.J., Fiske, G.J., Bunn, A.G., 2006. Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada. Rem. Sens. Environ. 101, 352-365.
35. Gouveia, C, DaCamara, C.C., Trigo, R.M., 2010. Post-fire vegetation recovery in Portugal based on spot/vegetation data. Nat. Hazards Earth Syst. 10,673-684.
36. Guzzetti, F., 2000. Landslide fatalities and the evaluation of landslide risk in Italy. Eng. Geol. 58 (2), 89-107.
37. Holling, C, 1973. Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4,1-23.
38. Holling, C, 1996. Engineering resilience versus ecological resilience. In: Engineering Within Ecological Constraints. The National Academies Press, Washington DC. Huete, A., Justice, C, Leeuwen, W., 1999. MODIS vegetation index (MOD 13). Algorithm theoretical basis document ATBD13.
39. Huete, A., Didan, It, Miura, T., Rodriguez, E., Gao, X., Ferreira, L., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Rem. Sens. Environ. 83,195-213.
40. Jiang, Z., Huete, A.R., Didan, It, Miura, T., 2008. Development of a two-band Enhanced Vegetation Index without a blue band. Rem. Sens. Environ. 112,3833-3845.
41. Jin, Y., Randerson, J., Goetz, S., Beck, P., Loranty, M., Goulden, M., 2012. The influence of burn severity on post-fire vegetation recovery and albedo change during early succession in North American boreal forests. J. Geophys. Res. Biogeosci. 117, G01036.
42. Jonsson, P., Eklundh, L., 2004. TIMESAT-a program for analyzing time-series of satellite sensor data. Comput. Geosci. 30 (8), 833-845.
43. Lanorte, A., Belviso, C, Lasaponara, R., Cavalcante, F., De Santis, F., Aromando, A., 2013. Satellite time series and in situ data analysis for assessing landslide susceptibility after forest fire: preliminary results focusingthe case study of Pisticci (Matera, Italy). In: Computational Science and Its Applications - ICCSA 2013. Springer, Berlin, Heidelberg, pp. 652-662.
44. Lari, S., Frattini, P., Crosta, G.B., 2009. Integration of natural and technological risks in Lombardy, Italy. Nat. Hazards Earth Syst. 9 (6), 2085-2106.
45. Lentile, L.B., Holden, Z.A., Smith, A.M., Falkowski, M.J., Hudak, A.T., Morgan, P., Benson, N.C., 2006. Remote sensing techniques to assess active fire characteristics and post-fire effects. Int. J. Wildland Fire 15 (3), 319-345.
46. Li, M., QJI, J.J., Hao, X., 2008. Detecting vegetation change with satellite remote sensing over 2007 Georgia wildfire regions. J. Appl. Remote Sens. 2(1), 021505.
47. Littell, J.S., Mckenzie, D., Peterson, D.L., Westerling, A.L., 2009. Climate and wildfire area burned in western U.S. ecoprovinces, 1916-2003. Ecol. Appl. 19, 1003-1021.
48. Lunetta, R.S., Knight, J.F., Ediriwickrema, J., Lyon, J.G., Worthy, L.D., 2006. Land-cover change detection using multi-temporal MODIS NDVI data. Rem. Sens. Environ. 105(2), 142-154.
49. Malamud, B.D., Morein, G., Turcotte, D.L., 1998. Forest fires: an example of selforganized critical behavior. Science 281 (5384), 1840-1842.
50. Matsushita, B., Yang, W., Chen, J., Onda, Y., Qju, G., 2007. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: a case study in high-density cypress forest. Sensors 7 (11), 2636-2651.
51. McKenzie, D., Miller, C, Falk, D., 2011. The landscape ecology of fire. In: Ecological Studies, Analysis and Synthesis. Springer.
52. Migliavacca, M., Dosio, A., Kloster, S., Ward, D.S., Camia, A., Houborg, R., Houston Durrant, T., Khabarov, N., Krasovskii, A.A., San Miguel-Ayanz, J., Cescatti, A., 2013. Modeling burned area in Europe with the Community Land Model. J. Geophys. Res. Biogeosci. 118, 265-279.
53. Mildrexler, D.J., Zhao, M., Running, S.W., 2009. Testing a MODIS Global Disturbance Index across North America. Rem. Sens. Environ. 113, 2103-2117.
54. Mitri, G.H., Gitas, I.Z., 2013. Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery. Int. J. Appl. Earth Obs. 20,60-66.
55. Moser, B., Temperli, C, Schneiter, G., Wohlgemuth, T., 2010. Potential shift in tree species composition after interaction of fire and drought in the Central Alps. Eur. J. For. Res. 129 (4), 625-633.
56. MRTWeb, USGS MODIS Reprojection Tool Web Interface: https://mrtweb. cr.usgs.gov/(accessed 10.01.14).
57. Neubert, M.G., Caswell, H., 1997. Alternatives to resilience for measuring the responses of ecological systems to perturbations. Ecology 78 (3), 653- 665.
58. Pausas, J., 2004. Changes in fire and climate in the Eastern Iberian Peninsula (Mediterranean Basin). Climat. Change 63,337-350.
59. Pausas, J.G., Keeley, J.E., 2009. A burning story: the role of fire in the history of life. Bioscience 59,593-601.
60. Peckham, S.D., Ahl, D.E., Serbin, S.P., Gower, S.T., 2008. Fire-induced changes in green-up and leaf maturity of the Canadian boreal forest. Rem. Sens. Environ. 112 (9), 3594-3603.
61. Peterson, G., Allen, C.R., Holling, C.S., 1998. Ecological resilience, biodiversity, and scale. Ecosystems, 16-18.
62. Pyne, S.J., 1994. Maintaining focus: an introduction to anthropogenic fire. Chemosphere 29,889-911.
63. R Development Core Team, 2011. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
64. Riano, D., Chuvieco, E., Ustin, S., Zomer, R., Dennison, P., Roberts, D., Salas, J., 2002. Assessment ofvegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains. Rem. Sens. Environ. 79 (1), 60-71.
65. Robichaud, P.R., 2000. Fire effects on infiltration rates after prescribed fire in Northern Rocky Mountain forests, USA. J. Hydrol. 231, 220-229.
66. Robichaud, P.R., 2010. Post-fire Treatment Effectiveness for Hillslope Stabilization. DIANE Publishing.
67. Running, S.W., 2006. Climate change: is global warming causing more, larger wildfires? Science 313,927-928.
68. Savitzky, A., Golay, M.J.E., 1964. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36,1627-1639.
69. Shakesby, R.A., Doerr, S.H., 2006. Wildfire as a hydrological and geomorphological agent. Earth Sci. Rev. 74 (3), 269-307.
70. Telesca, L., Lasaponara, R., 2006. Pre- and post-fire behavioral trends revealed in satellite NDVI time series. Geophys. Res. Lett. 33.
71. Tinner, W., Conedera, M., Ammann, B., Loiter, A.F., 2005. Fire ecology north and south of the Alps since the last ice age. Holocene 15,1214-1226.
72. Valese, E., Conedera, M., Vacik, H., Japelj, A., Beck, A., Cocca, G., Cvenkel, H., Di Narda, N., Ghiringhelli, A., Lemessi, A., Mangiavillano, A., Pelflni, F., Pelosini, R., Ryser, D., Wastl.C, 2011. Wildfires in the Alpine region: first results from the ALP FFIRS project. In: 5th International Wildland Fire Conference Sun City, South Africa, 9-13 May.
73. van Leeuwen, W.J.D., Casady, G.M., Neary, D.G., Bautista, S., Alloza, J.A., Carmel, Y., Wittenberg, L., Malkinson, D.,Orr, B.J., 2010. Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel. Int. J. Wildland Fire 19, 75-93.
74. Westerling, A.L., Hidalgo, H.G., Cayan, D.R., Swetnam, T.W., 2006. Warming earlier spring increase Western U.S. forest wildfire activity. Science 313, 940- 943.
75. White, M.A., Thornton, P.E., Running, S.W., 1997. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochem. Cycles 11 (2), 217-234.
76. Wohlgemuth, T., Moretti, M., Conedera, M., Moser, B., 2006. Ecological resilience after fire in mountain forests of the Central Alps. Forest Ecol. Manag. 234 (1), S200.
77. Zhang, X., Friedl, M.A., Schaaf, C.B., Strahler, A.H., Hodges, J., Gao, F., Reed, B.C., Huete, A., 2003. Monitoring vegetation phenology using MODIS. Rem. Sens. Environ. 84, 471-475.