Comparing the spectral signal of burned surfaces between Landsat 7 ETM+ and Landsat 8 OLI sensors
作者： Nikos Koutsias , Magdalini Pleniou
DOI: 10.1080/01431161.2015.1070322
关键词: Histogram 、 Cartography 、 Sampling (statistics) 、 Satellite 、 Vegetation 、 Satellite imagery 、 Remote sensing 、 Remote sensing (archaeology) 、 Environmental science 、 Spectral signature 、 Thematic Mapper
摘要: There is a long history of the use Landsat data in burned land mapping mainly due to certain characteristics imagery including spatial, spectral, and temporal resolution, low cost are now freely available, existence an almost 35-year historical archive excluding 1–3. 8 Operational Land Imager OLI Thermal Infrared Sensor TIRS was launched on 11 February 2013 it captures three new bands along with two additional thermal bands. However, spectral signal surfaces satellite remote-sensing series consistent robust enough allow successful application techniques developed so far for 8? In this article, we compare between 7 Enhanced Thematic Mapper Plus ETM+ sensors using five case studies that correspond large fire events different biophysical environments Greece, which both were available. From comparative analysis histogram plots post-fire image vegetated pre-fire areas, signature separability indices land-cover types, estimated same sampling areas over images, general consistency observed sensors. Slight differences attributed acquisition dates related type vegetation rather than used record images. Neither sensor provided improved discrimination other.
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sci-hub.se 参考文章(25)
N. Koutsias, An autologistic regression model for increasing the accuracy of burned surface mapping using Landsat Thematic Mapper data International Journal of Remote Sensing. ,vol. 24, pp. 2199- 2204 ,(2003) , 10.1080/0143116031000082073
C.C. Kontoes, H. Poilvé, G. Florsch, I. Keramitsoglou, S. Paralikidis, A comparative analysis of a fixed thresholding vs. a classification tree approach for operational burn scar detection and mapping International Journal of Applied Earth Observation and Geoinformation. ,vol. 11, pp. 299- 316 ,(2009) , 10.1016/J.JAG.2009.04.001
Magdalini Pleniou, Fotios Xystrakis, Panayotis Dimopoulos, Nikos Koutsias, Maps of fire occurrence – spatially explicit reconstruction of recent fire history using satellite remote sensing Journal of Maps. ,vol. 8, pp. 499- 506 ,(2012) , 10.1080/17445647.2012.743866
Luigi Boschetti, David P. Roy, Christopher O. Justice, Michael L. Humber, MODIS–Landsat fusion for large area 30m burned area mapping Remote Sensing of Environment. ,vol. 161, pp. 27- 42 ,(2015) , 10.1016/J.RSE.2015.01.022
N. Koutsias, M. Karteris, Logistic regression modelling of multitemporal Thematic Mapper data for burned area mapping International Journal of Remote Sensing. ,vol. 19, pp. 3499- 3514 ,(1998) , 10.1080/014311698213777
J. Hill, P. Hostert, G. Tsiourlis, P. Kasapidis, Th. Udelhoven, C. Diemer, Monitoring 20 years of increased grazing impact on the Greek island of Crete with earth observation satellites Journal of Arid Environments. ,vol. 39, pp. 165- 178 ,(1998) , 10.1006/JARE.1998.0392
Aitor Bastarrika, Maite Alvarado, Karmele Artano, Maria Martinez, Amaia Mesanza, Leyre Torre, Rubén Ramo, Emilio Chuvieco, BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data Remote Sensing. ,vol. 6, pp. 12360- 12380 ,(2014) , 10.3390/RS61212360
Aitor Bastarrika, Emilio Chuvieco, M. Pilar Martín, Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors Remote Sensing of Environment. ,vol. 115, pp. 1003- 1012 ,(2011) , 10.1016/J.RSE.2010.12.005
Foula Nioti, Panayotis Dimopoulos, Nikos Koutsias, Correcting the Fire Scar Perimeter of a 1983 Wildfire Using USGS-Archived Landsat Satellite Data Giscience & Remote Sensing. ,vol. 48, pp. 600- 613 ,(2011) , 10.2747/1548-1603.48.4.600
E. Chuvieco, M. P. Martín, A. Palacios, Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination International Journal of Remote Sensing. ,vol. 23, pp. 5103- 5110 ,(2002) , 10.1080/01431160210153129