NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
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Investigation:

LC-02 (Brown / Silveira / Esteves)

LBA Dataset ID:

LC02_GOES_HOTPIXEL_ACRE

Originator(s):

1. SELHORST, D.
      2. BROWN, I.F.

Point(s) of Contact:

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

Dataset Abstract:

The number and extent of fires in tropical forests each year is poorly documented and as a result the amount of biomass consumed in fires contributes significant uncertainty to the global carbon budget. Remote sensing may be the best tool available to quantify the frequency and size of forests particularly in remote areas of developing nations. In this dataset we collected data on fires from GOES-8 satellite images for the state of Acre, Brazil for extended periods over the course of 3 years (1998, 2000 and 2001). Data were filtered to select only pixels identified and processed by the GOES-8 ABBA, where estimates of sub-pixel fire characteristics including size and temperature were able to be determined. Other pixels that potentially represented fires but were contaminated by saturation or clouds were excluded from the dataset. The GOES-8 data were supplied by the UW-Madison/SSEC/CIMSS.
Data Quality Statement: There are some minor anomalies in the data files that the LBA-ECO archive team was unable to resolve, however, we recommend that this data set be included in the long-term archive collection at the ORNL DAAC and the known problems identified as such in the data set documentation.

Beginning Date:

1998-08-01

Ending Date:

2001-10-30

Metadata Last Updated on:

2012-06-08

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-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1092

Documentation/Other Supporting Documents:

LBA-ECO LC-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001:  http://daac.ornl.gov/LBA/guides/LC02_GOES8_Hotpixel_Acre.html

Citation Information - Other Details:

Selhorst, D. and I.F. Brown. 2012. LBA-ECO LC-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001. Data set. Available on-line [http://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/1092

Keywords - Theme:

Parameter Topic Term Source Sensor
FIRES BIOSPHERE NATURAL HAZARDS GOES-8 (GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE-8) GOES-8 IMAGER

Uncontrolled Theme Keyword(s):  FIRE DETECTION, FOREST FIRES, GOES-8, HOT PIXELS

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
    -7.37000 -11.14000 -66.63000 -73.58000

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Data are presented in three comma separated ASCII files:

File 1: LC02_Hot_pixels_Acre_Goes_1998.csv,

File 2: LC02_Hot_pixels_Acre_Goes_2000.csv,

File 3: LC02_Hot_pixels_Acre_Goes_2001.csv,



Data are organized in the same way for all three files following the header information shown below.



File name,LC02_Hot_pixels_Acre_Goes_2000.csv,,

File date,23-Jul-08,,

Associated LME file ID,LC02_GOES8_Hotpixel_Acre,,



Column,Column heading,Units/format,Explanation

----1,Year,,Sampling year; 2001

----2,Day,,Day of the year sampled ( 1= January 1)

----3,Time_UTC,HHMM,Sampling time in UTC ( local time = UTC-5)

----4,Longitude,decimal degrees,Longitude of pixel location ( - = west and + = east)

----5,Latitude,decimal degrees,Latitude of pixel location ( - = south and + = north)

----6,Fire_Area,km2,Estimated fire size in square kilometers (km2)

----7,Fire_Temp,degrees K,Average fire temperature in degrees Kelvin (K)

----8,Ecosystem,,Fire pixel ecosystem type based on the Olson World Ecosystems Database





Example data records:

Year,Day,Time_UTC,Longitude,Latitude,Fire_Area,Fire_Temp,Ecosystem

2000,275,1445,-67.33,-9.63,0.4095,407,29

2000,275,1445,-67.29,-9.63,0.2036,441,29

2000,275,1445,-67.33,-9.67,0.324,408,29





Data Application and Derivation:

Comparison of fire data from the GOES-8 products to other satellite image products, videography as well as records of official permits for deforestation and controlled burning can help to determine which approach gives the most accurate assessment of actual activity at various spatial and temporal scales.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Data were filtered to select only pixels flagged by GOES-8 ABBA as 0, where estimates of sub-pixel fire characteristics including size and temperature were able to be determined. Pixels flagged with values of 1-3, that represented fires but were contaminated by saturation or clouds were excluded from the dataset. Estimates of fire frequency are considered to be conservative due to the exclusion of pixels contaminated by cloud cover or saturation (high reflectivity) and probably represent on the order of half to one tenth of the actual fire activity

Process Description:

Data Acquisition Materials and Methods:

The GOES-8 satellite used 2 infra-red windows (3.9 micro meters and 10.7 micrometers) to detect fires with a spatial resolution of 4 km (nadir). Due to its geostationary orbit its coverage includes practically all of South America. In 1998 there were 4 sampling points daily at 00:15, 6:15, 12:15 and 18:15 UTC, (Local time is UTC-5). In 2000 there were 8 sampling points daily (02:45, 05:45, 18:45, 11:45, 14:45, 17:45, 20:45 and 23:45 UTC), and in 2001 sampling was done every half hour. Data from 1998 and 2000 were processed using ABBA (Automated Biomass Burning Algorithm) developed by CIMSS at the University of Wisconsin. Data from 2001 were processed using WF-ABBA (Wild Fire- Automated Biomass Burning Algorithm) also developed by CIMSS/UW-Madison which has better spatial and temporal resolution as well as improved handling of data contaminated by clouds or saturation (Prins et al. 2001). Data from all three years were filtered and only points flagged as 0 indicating estimates of sub-pixel fire characteristics including size and temperature were able to be determined were included in the analyses.

References:

Prins E.M. et al. 2001. An overview of diurnal active fire monitoring using a suite of international geostationary satellites. Global and Regional Vegetation Fire Monitoring from Space: Planning a Coordinated International Effort. p 145-170. Academic Publishing, The Hague, The Netherlands.

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