Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region

Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region.

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Main Authors: García, Miguel A., Alloza, José A., Mayor, Ángeles G., Bautista, Susana, Rodríguez, Francisco
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Burnt area mapping, MODIS-NDVI, Mediterranean Basin, Remote sensing, Wildfire,
Online Access:https://research.wur.nl/en/publications/detection-and-mapping-of-burnt-areas-from-time-series-of-modis-de
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spelling dig-wur-nl-wurpubs-5626042024-12-04 García, Miguel A. Alloza, José A. Mayor, Ángeles G. Bautista, Susana Rodríguez, Francisco Article/Letter to editor Central European Journal of Geosciences 6 (2014) 1 ISSN: 2081-9900 Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region 2014 Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region. en application/pdf https://research.wur.nl/en/publications/detection-and-mapping-of-burnt-areas-from-time-series-of-modis-de 10.2478/s13533-012-0167-y https://edepot.wur.nl/518194 Burnt area mapping MODIS-NDVI Mediterranean Basin Remote sensing Wildfire https://creativecommons.org/licenses/by-nc-nd/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Burnt area mapping
MODIS-NDVI
Mediterranean Basin
Remote sensing
Wildfire
Burnt area mapping
MODIS-NDVI
Mediterranean Basin
Remote sensing
Wildfire
spellingShingle Burnt area mapping
MODIS-NDVI
Mediterranean Basin
Remote sensing
Wildfire
Burnt area mapping
MODIS-NDVI
Mediterranean Basin
Remote sensing
Wildfire
García, Miguel A.
Alloza, José A.
Mayor, Ángeles G.
Bautista, Susana
Rodríguez, Francisco
Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
description Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region.
format Article/Letter to editor
topic_facet Burnt area mapping
MODIS-NDVI
Mediterranean Basin
Remote sensing
Wildfire
author García, Miguel A.
Alloza, José A.
Mayor, Ángeles G.
Bautista, Susana
Rodríguez, Francisco
author_facet García, Miguel A.
Alloza, José A.
Mayor, Ángeles G.
Bautista, Susana
Rodríguez, Francisco
author_sort García, Miguel A.
title Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
title_short Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
title_full Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
title_fullStr Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
title_full_unstemmed Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
title_sort detection and mapping of burnt areas from time series of modis-derived ndvi data in a mediterranean region
url https://research.wur.nl/en/publications/detection-and-mapping-of-burnt-areas-from-time-series-of-modis-de
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AT mayorangelesg detectionandmappingofburntareasfromtimeseriesofmodisderivedndvidatainamediterraneanregion
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