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.
banner
banner banner banner banner banner banner
banner banner banner banner banner banner banner
home aboutlibrarynews archivecontacts banner

spacer
banner
Investigations
Overview
Abstracts & Profiles
Publications
Research Sites
Meetings
Synthesis Groups
LBA-HYDROMET
LBA-Air-ECO
Logistics
Overview
Field Support
Travel
Visa
Shipping
Data
  Overview
Find LBA Data
Investigator Checklist
Process & Policy
Documentation & Archive
Training & Education
  Overview
Activities Summary
T&E Goals
Student Opportunities
  Folha Amazônica
 
spacer

Investigation:

LC-02 (Brown / Silveira / Esteves)

LBA Dataset ID:

LC02_MAP_FIRE_INDICATORS

Originator(s):

1. VASCONCELOS, S.
      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:

Hot pixel data can be used to develop our understanding of fire frequency in remote areas. Patterns in both spatial distribution and both intra- and inter-annual distribution of fire events provide important information to policy makers and land management agencies. However due to factors that cause significant underestimation of fires, hot pixel data alone is not enough to accurately assess fire events in the Madre de Dios- Acre- Panto (MAP) tri-national region.

Beginning Date:

2003-01-01

Ending Date:

2006-12-31

Metadata Last Updated on:

2011-10-27

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 Hot Pixel Fire Indicator Data for Tri-national MAP Region: 2003-2006:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1044

Documentation/Other Supporting Documents:

LBA-ECO LC-02 Hot Pixel Fire Indicator Data for Tri-national MAP Region: 2003-2006:  http://daac.ornl.gov/LBA/guides/LC02_MAP_Fire_Indicators.html

Citation Information - Other Details:

Vasconcelos, S., and I.F. Brown. 2011. LBA-ECO LC-02 Hot Pixel Fire Indicator Data for Tri-national MAP Region: 2003-2006. 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/1044

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND COVER LAND SURFACE LAND USE/LAND COVER NOAA-12 (NATIONAL OCEANIC & ATMOSPHERIC ADMINISTRATION-12) AVHRR (ADVANCED VERY HIGH RESOLUTION RADIOMETER)
LAND COVER LAND SURFACE LAND USE/LAND COVER GOES-12 (AQUA/TERRA) MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)

Uncontrolled Theme Keyword(s):  ACRE - BRASIL, HOT PIXELS, MADRE DE DIOS - PERU, MAP REGION, PANDO - BOLIVIA

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  AMAZONIA OCIDENTAL -0.66670 -22.38330 -57.79330 -81.28330

Related Publication(s):

Vasconcelos, S.S., I.F. Brown. 2007. The use of hot pixels as an indicator of fires in the MAP region: tendencies in recent years in Acre, Brazil. In: Simposio Brasileiro de Sensoriamento Remoto, 13. (SBSR), 21-26 abr. 2007, Florianopolis. Anais. Sao Jose dos Campos: INPE, 2005. Artigos, p. 4549-4556. CD-ROM.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

The data for this data set are presented in 12 comma-delimited ASCII files:

3 files for each year included in the study (one file for each study area: Bolivia, Brazil, Peru). Each file gives the date, time and location for each detected hot pixel as well as the satellite image used. In addition conditions including type of vegetation and days without rain are included for each pixel.




Study locations are indicated on a map provided as: Regional_map.jpg






The data file names are as follows:

File 1: LC02_Bolivia_Hot_Pixels_2003.csv

File 2: LC02_Bolivia_Hot_Pixels_2004.csv

File 3: LC02_Bolivia_Hot_Pixels_2005.csv

File 4: LC02_Bolivia_Hot_Pixels_2006.csv

File 5: LC02_Brazil_Hot_Pixels_2003.csv

File 6: LC02_Brazil_Hot_Pixels_2004.csv

File 7: LC02_Brazil_Hot_Pixels_2005.csv

File 8: LC02_Brazil_Hot_Pixels_2006.csv

File 9: LC02_Peru_Hot_Pixels_2003.csv

File 10: LC02_Peru_Hot_Pixels_2004.csv

File 11: LC02_Peru_Hot_Pixels_2005.csv

File 12: LC02_Peru_Hot_Pixels_2006.csv




All data files follow the structure and organization shown below:


Column Column heading Variable description

1 Pixel_ID Unique id number for the pixel

2 Latitude Latitude in decimal format where negative values represent S, positive values N

3 Longitude Longitude in decimal format where negative values represent E, positive values W

4 Lat_GMS Latitude in degrees, minutes and seconds

5 Long_GMS Longitude in degrees, minutes and seconds

6 Image_Date Image date (yyyymmdd)

7 Image_Year Year for image (yyyy)

8 Image_Month Month for image (mm)

9 Image_Day Day of month for image (dd)

10 Image_Time Time image was taken reported on 24 hour clock GMT time. Local time is GMT-5

11 Satellite Satellite platform

12 Municipality Municipality for each pixel location

13 State State for each pixel location

14 Country Country for each pixel location: Brazil, Bolivia or Peru

15 Veg_Class Vegetation class: Open wet forest, Closed wet forest,

Seasonal Deciduous, Seasonal Semi-deciduous, Agriculture, Not forested,

Not identified, Water, and Transition zone

16 Risk_Class Susceptibility of area to fire.

Classes include: High; Medium; Low; Water; and Not_calculated

17 Precipitation Measured precipitation in millimeters (mm) between 7 am (GMT) on this date

and 7 am (GMT) on the following day from local weather stations

18 Days_Dry Number of days without rain in the 120 days previous to sampling date

estimated by interpolation from weather stations in the region

19 Risk_Factor Calculated fire risk factor. See accompanying documentation

for the calculations used (companion file Risk_of_Fire_Calculations.doc)




Missing data are represented by -9999




Example data records for File 1: LC02_Bolivia_Hot_Pixels_2003.csv:



Pixel_ID,Latitude,Longitude,Lat_GMS,Long_GMS,Image_Date,Image_Year,Image_Month,Image_Day ,Image_Time,Satellite,Municipality,State,Country,Veg_Class,Risk_Class,Precipitation,Days_Dry,Risk_Factor

1,-18.85,-57.82833,S 18 51 0.00,W 57 49 42.00, 20030101, 2003, 1, 1, 22210, TERRA, Puerto Suarez,Santa Cruz,Bolivia,Transition zone,High,2.9,15,0.9

2,-18.85,-57.81833,S 18 51 0.00,W 57 49 6.00, 20030101, 2003, 1, 1, 22210, TERRA, Puerto Suarez,Santa Cruz,Bolivia,Transition zone,High,2.9,15,0.9

3,-18.84167,-57.84,S 18 50 30.00,W 57 50 24.00,20030101,2003,1,1,22210,TERRA,Puerto Suarez,Santa Cruz,Bolivia,Transition zone,High,2.9,15,0.9

Data Application and Derivation:

In areas such as Acre, where there is a large number of small rural producers in elongated properties of 150 m to 500 m in width, many simultaneous slash and burn fires of 1 to 5 ha can be clustered in one pixel of 1 km by 1 km (NOAA-12, AQUA, TERRA) or 4 km by 4 km (GOES-12), resulting in an underestimation of the number of burn events. On the other hand, in areas with large ranches, a single fire event can extend over dozens to hundreds of hectares and burn for days, being detected by many satellites simultaneously. Such large-area burns have been relatively infrequent in the MAP region.




In addition to fire size relative to pixel area, detection of fires by satellites can be influenced by factors including: cloud and smoke cover, differences in temporal coverage by different satellites, the off-nadir satellite observation which can reduce detection, different algorithms used in fire detection etc. The number of fires in Acre have been shown to be 5 to 10 times greater than the number detected in hot pixels of satellite images from a number of different satellites (Selhorst and Brown 2004, Pantoja et al. 2005)

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Fire events can vary in size. In areas such as Acre, where there is a large number of small rural producers in elongated properties of 150 m to 500 m in width, many simultaneous slash and burn fires of 1 to 5 ha can be clustered in one pixel of 1 km by 1 km (NOAA-12, AQUA, TERRA) or 4 km by 4 km (GOES-12), resulting in an underestimate of the number of burn events. On the other hand, in areas with large ranches, a single fire event can extend over dozens to hundreds of hectares and burn for days, being detected by many satellites simultaneously. Such large-area burns have been relatively infrequent in the MAP region.

Process Description:

Data Acquisition Materials and Methods:

These data on the presence of hot pixels were collected from 4 different satellites: NOAA-12 which transports the AVHRR sensor; GOES-12 and AQUA and TERRA (both of which transport the MODIS sensor). The data were made available daily by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC) of the Instituto Nacional de Pesquisas Espaciais (INPA)(www.cptec.inpe.br/queimadas). For the mapping and spatial analysis of hot pixels ArcView GIS 9.0, ArcView 3.2 and TerraView 3.1.3 software packages were used.




Given that there are a number of factors which can cause hot pixels to underestimate the actual number of fire events (see Quality Assessment) the total number of hot pixels from all 4 satellites were summed to estimate the fire frequency.

References:

Pantoja, N.V. et al. 2005. Observacoes de queimadas no leste do Acre: subsidios para validacao de focos de calor derivados de dados de satelites. In: Simposio Brasileiro de Sensoriamento Remoto 12: 3215-3222 Goiana Anais, San Jose dos Campos INPE







Selhorst, D. and I.F. Brown. 2004. Queimadas na Amazonia Sul-Ocidental, Estado do Acre-Brasil: Comparacao entre produtos de satelite (GOES-8 e NOAA-12) e observacoes de campo. In:Simposio Brasileiro de Sensoriamento Remoto 11: 3215-3222 Belo HorizanteAnais, San Jose dos Campos INPE

Skip navigation linksHOME | ABOUT | LIBRARY | NEWS ARCHIVE | CONTACTS | INVESTIGATIONS | LOGISTICS | DATA |TRAINING & EDUCATION

NASA logo
ORNL DAAC
Get Acrobat Reader