Assigning dates and identifying areas affected by fires in Portugal based on MODIS data
An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called...
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| Vydané v: | Anais da Academia Brasileira de Ciências Ročník 89; číslo 3; s. 1487 - 1501 |
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| Jazyk: | English |
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Academia Brasileira de Ciências
01.07.2017
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| ISSN: | 0001-3765, 1678-2690, 1678-2690 |
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| Abstract | An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery. |
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| AbstractList | ABSTRACT An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery. An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery.An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery. An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery. |
| Author | PANISSET, JESSICA PERES, LEONARDO F. CALADO, TERESA J. LIBONATI, RENATA DACAMARA, CARLOS C. BARROS, ANA |
| AuthorAffiliation | Universidade Federal do Rio de Janeiro Oregon State University Universidade de Lisboa |
| AuthorAffiliation_xml | – name: Universidade de Lisboa – name: Universidade Federal do Rio de Janeiro – name: Oregon State University |
| Author_xml | – sequence: 1 givenname: JESSICA surname: PANISSET fullname: PANISSET, JESSICA organization: Universidade Federal do Rio de Janeiro, Brazil – sequence: 2 givenname: CARLOS C. surname: DACAMARA fullname: DACAMARA, CARLOS C. organization: Universidade de Lisboa, Portugal – sequence: 3 givenname: RENATA surname: LIBONATI fullname: LIBONATI, RENATA organization: Universidade Federal do Rio de Janeiro, Brazil – sequence: 4 givenname: LEONARDO F. surname: PERES fullname: PERES, LEONARDO F. organization: Universidade Federal do Rio de Janeiro, Brazil – sequence: 5 givenname: TERESA J. surname: CALADO fullname: CALADO, TERESA J. organization: Universidade de Lisboa, Portugal – sequence: 6 givenname: ANA surname: BARROS fullname: BARROS, ANA organization: Oregon State University, USA |
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| CitedBy_id | crossref_primary_10_1016_j_isprsjprs_2019_12_014 crossref_primary_10_5194_nhess_19_169_2019 crossref_primary_10_3390_rs13071345 crossref_primary_10_3390_cli12090143 |
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| Snippet | An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and... ABSTRACT An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from... |
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| Title | Assigning dates and identifying areas affected by fires in Portugal based on MODIS data |
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