The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping
Abstract
The only vegetation index (VI) used in all Advanced Very High Resolution Radiometer (AVHRR)-based burned area studies performed so far is the normalized difference vegetation index (NDVI), in spite of serious known deficiencies caused by sensitivity to atmospheric conditions and soil background. In this study, the ability of various VI to discriminate between burned and unburned surfaces is compared, using burn maps derived from classification of Landsat thematic mapper (TM) imagery as reference data. After assessing the discriminatory potential of the AVHRR channels 1-3, the following indexes were compared: the NDVI, the VI 3 (VI3), the global environmental monitoring index (GEMI), and a modified version of GEMI, called GEMI3, VI performance was assessed in two ways: with a signal-to-noise ratio measure and a measure of the commission error resulting from segmentation of the burned area histograms at a fixed level of omission error. Maps of commission errors were generated for each VI and cross tabulated with a land cover map to identify the land cover types more prone to confusion with burns. The newly proposed index GEMI3 performs best, followed by the GEMI, VI3, and finally NDVI, the latter being clearly out performed, even by channel 2 used individually.
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Citations
Cites
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GEMI: a non-linear index to monitor global vegetation from satellites
Pinty, B., & Verstraete, M. M. (1992) · Plant Ecology · doi:10.1007/bf00031911 · Cited by 741
Mapping burns and natural reforestation using thematic Mapper data
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Do One Percent of the Forest Fires Cause Ninety-Nine Percent of the Damage?
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The 1 km resolution global data set: needs of the International Geosphere Biosphere Programme†
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The Extent and Impact of Forest Fires in Northern Circumpolar Countries
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Monitoring of wildfires in Boreal Forests using large area AVHRR NDVI composite image data
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Cited by
Justice, C. O., Vermote, E., Townshend, J. R. G., Defries, R., Roy, D. P., Hall, D. K., Salomonson, V. V., Privette, J. L., Riggs, G., Strahler, A., et al. (1998) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.701075 · Cited by 1,635
A Project for Monitoring Trends in Burn Severity
Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z.-L., Quayle, B., & Howard, S. (2007) · Fire Ecology · doi:10.4996/fireecology.0301003 · Cited by 1,423
EPTING, J., VERBYLA, D., & SORBEL, B. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.03.002 · Cited by 489
BCI: A biophysical composition index for remote sensing of urban environments
Deng, C., & Wu, C. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.09.009 · Cited by 326
Dwyer, E., Pinnock, S., Gregoire, J.-M., & Pereira, J. M. C. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210182 · Cited by 233
Self-citation
Metadata
- Authors
- Pereira, J. M. C.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1999
- Volume
- 37
- Issue
- 1
- Pages
- 217-226
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2152504881
- Cited by
- 285
- References
- 18
- FWCI
- 12.85
- Type
- journal article
- Language
- en
- Open access
- closed
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