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Investigation:

LC-35 (Csiszar / Longo / Setzer)

LBA Dataset ID:

LC35_LANDSAT7_FIRE_MASKS

Originator(s):

1. SCHROEDER, W.
2. PRINS, E.
3. GIGLIO, L.
4. CSISZAR, I.A.
      5. SCHMIDT, C.
6. MORISETTE, J.T.
7. MORTON, D.C.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

Active fire detection produced derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data for various locations in Brazilian Amazonia during 2001-2003. Data set contains three separate file types: 1- Fire masks containing two values: 0 - no active fire detected, and 1 - active fire detected. 2- Segmented fire masks: contiguous active fire clusters are assigned a specific identification number 3 - Comma separated ASCII files containing information on active fire coordinates and cluster identification numbers For access to the ETM+ imagery used to produce the fire masks please contact Wilfrid Schroeder <schroeder@hermes.geog.umd.edu> .

Beginning Date:

2001-01-22

Ending Date:

2003-05-23

Metadata Last Updated on:

2012-04-12

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO LC-35 Landsat ETM+ Derived Active Fire Masks, Brazilian Amazon: 2001-2003:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1071

Documentation/Other Supporting Documents:

LBA-ECO LC-35 Landsat ETM+ Derived Active Fire Masks, Brazilian Amazon: 2001-2003:  http://daac.ornl.gov/LBA/guides/LC35_Landsat7_Fire_Masks.html

Citation Information - Other Details:

Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schmidt, J. Morisette, and D. Morton. 2009. LBA-ECO LC-35 Active Fire Masks Derived from ETM+ Data, Brazilian Amazon: 2001-2003. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1071

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND MANAGEMENT LAND SURFACE LAND USE/LAND COVER LANDSAT-7 (LAND REMOTE-SENSING SATELLITE-7) ETM+ (ENHANCED THEMATIC MAPPER PLUS)

Uncontrolled Theme Keyword(s):  BRAZILIAN AMAZONIA, VEGETATION FIRES

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  BRAZILIAN AMAZONIA 5.00000 -18.00000 -43.00000 -68.00000

Related Publication(s):

Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schmidt, J. Morisette, and D. Morton. 2008. Validation of GOES and MODIS active fire detection products using ASTER and ETM plus data. Remote Sensing of Environment 112(5):2711-2726.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Three main file types are contained in the data set. The following file naming convention was used:

L7_PPPRRR_YYYYMMDD_fire_T*.

L7 = Landsat7 data

PPP = Landsat7 path number

RRR = Landsat7 row number

YYYY = acquisition year

MM= acquisition month

DD = acquisition day

T* = type (mask, clusters, ASCII file (txt))




File types are described as:




1 - Active fire mask composed of two values: 0 - no fire activity; 1- active fire. This is an image file, data type is byte (8 bits). Each data file has an accompanying header file (file extension *.hdr) including essential information to open and project the data correctly. The header file conforms with ENVI\'s file format (ITT Corporation) and includes the following information:

description = file origin and date of production

samples = number of samples

lines = number of lines

bands = number of bands

header offset = this information is not relevant (=0)

file type = ENVI definition of file type

data type = 1: byte (8 bits); 12 : unsigned integer (16 bits)

interleave = raster data storage method. BSQ = Band sequential format (each line of the data is followed immediately by the next line

byte order = intel

map info = {projection type, reference image pixel in x, reference image pixel in y, coordinate value in x of reference pixel, coordinate value in y of reference pixel, pixel size in x, pixel size in y, UMT zone, UTM zone reference (South), datum, units=Meters, image rotation in degrees}

wavelenght units = not applicable

band name = informs the name given to band (e.g., Fire Mask or Fire Clusters)




2 - Segmented fire mask. Value of pixels without fire activity receive is zero. For all other pixels showing fire activity, a distinct cluster identification number is assigned to each individual group of contiguous pixels. This is an image file,date type is unsigned integer (16 bits). Each file has a accompanying header file similar to the one described for the fire masks.




3 - Comma separated ASCII file. These files contain the fire detection information derived from the fire masks. They include three collumns describing the latitude, longitude and cluster identification number of each active fire pixel in the corresponding image.




An auxiliary file (summary_details.txt) is provided. The file contains 8 comma separated fields, namely:

path = Landsat7 path number

row = Landsat7 row number

year = acquisition year

month = acquisition month

day = acquisition day

hour = acquisition hour (UTC)

min = acquisition minute (UTC)

active_fire_pixels = number of active fire pixels detected for that image

Data Application and Derivation:

This product can be used to identify areas of active fires at 30m nominal resolution. Active fire pixels are classified as such using a contextual approach based on top of atmosphere reflectance values derived from ETM+ bands 4 and 7. The classification method is described in detail in the work of Schroeder et al. [2008] (title: Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data)

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Visual quality assessment of the product was performed for each individual image. Commission errors could not be found. Omission errors may occur in areas of ambiguous fire activity (e.g., smoldering fires)

Process Description:

Data Acquisition Materials and Methods:

The data set is composed of active fire masks derived from Landsat ETM+ data at 30 m nominal resolution. Product is generated from bands 4 and 7 using a contextual fire detection scheme (details given in Schroeder et al. [2008])

References:

Schroeder, W., Prins, E., Giglio, L., Csiszar, I., Schmidt, C., Morisette, J., and Morton, D. (2008). Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data. Remote Sensing of Environment, 112, 2711-2726.

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