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Investigation:

LC-23 (Morisette / Schroeder / Pereira)

LBA Dataset ID:

LC23_SIPAM_Airborne_Hyperspectral

Originator(s):

1. Morisette, Jeffrey Thomas
2. Pereira, Joao Antonio Raposo
3. Schroeder, Wilfrid
      4. Csiszar, Ivan Andras
5. Giglio, Louis
6. Morton, Douglas C.

Point(s) of Contact:

Schroeder, Wilfrid (schroeder@hermes.geog.umd.edu)

Dataset Abstract:

Airborne data: Hyperspectral airborne data imagery collected over two prescribed burns (January 19th and 28th 2003) and over more than 40 opportunistic fires in Roraima state Brazil during January 2003. Data set covers major vegetation fire types in the region, including deforestation sites in forest and transition forest areas, and in savanna (lavrado). Sensor has 50 spectral channels covering visible-near infrared, mid-infrared and thermal infrared bands. Channels 21-45 (mostly mid-infrared and part of thermal infrared) showing excessive noise contamination due to instrument engineering problems. Image acquisition conditions were set up for maitaining ground resolution of approximately 1m across the entire data set. Data comes with separate header files with mapping information to be used under Research System Inc\'s ENVI software. Access to these data is restricted to LBA investigators. To obtain access, LBA investigators should contact the LBA DIS User Services Office (lba-dis@cptec.inpe.br) and refer to data set title: LBA-ECO LC-23 Vegetation Fire Data - Roraima 2003 Airborne Hyperspectral Data

Beginning Date:

2003-01-19

Ending Date:

2003-01-28

Metadata Last Updated on:

2011-01-17

Data Status:

Archived

Access Constraints:

Restricted to LBA research community

Data Center URL:

Distribution Contact(s):

LBA-DIS User Services (lba-dis@cptec.inpe.br)

Access Instructions:

Restricted to LBA research community

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):


Documentation/Other Supporting Documents:

Data Set User's Guide:  Search at ORNL DAAC

Citation Information - Other Details:

Schroeder, W. 2007. LBA-ECO LC-23 Airborne Hyperspectral Vegetation Fire Data, Roraima, Brazil: 2003. Data set. Available on-line [http://lba.cptec.inpe.br/] from LBA Data and Information System, National Institute for Space Research (INPE/CPTEC), Cachoeira Paulista, Sao Paulo, Brazil.

Keywords - Theme:

Parameter Topic Term Source Sensor
THERMAL PROPERTIES LAND SURFACE SURFACE RADIATIVE PROPERTIES SIPAM CESSNA CARAVAN REMOTE SENSING AIRCRAFT AIRBORNE HYPERSPECTRAL SENSOR

Uncontrolled Theme Keyword(s):  Airborne Sensor, Hyperspectral Data, Roraima, Vegetation Fires

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Roraima Roraima 5.00000 0.00000 -60.00000 -63.00000

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Hyperspectral data: 50 channel instrument covering visible-thermal infrared bands at approximately 1m ground resolution. Bands 21-45 contain excessive noise due to instrument engineering problems. Values are in reflectance (bands 1-37) and temperature (Celsius - bands 38-50)

Data Application and Derivation:

Data are useful for extraction of vegetation fire radiative parameters. Airborne data mapping parameters need further registration to eliminate positional errors in the order of a few tens of meters.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Airborne data are suffering from significant problems caused by the instrument engineering at the time of its use. Many bands contain excessive noise contamination. Radiometric calibration is not available - image pre-processing was done by the Brazilian Air Force. Mapping parameters provided with the airborne data are not accurate - expect errors of a few tens of meters (30-60m).

Process Description:

Data Acquisition Materials and Methods:

Flights were scheduled over two prescribed burns on days 19 and 28 of January 2003 in the state of Roraima in Brazil. Other opportunistic fires were also flown in the period in between 19-28 January.



Original Sensor: Cessna Caravan Remote Sensing Aircraft

References:

None.

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