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Investigation:

LC-19 (Huete / Ferreira / Sano)

LBA Dataset ID:

LC19_Field_2002

Originator(s):

1. Huete, Alfredo R.
2. Ferreira, Laerte Guimaraes
3. Sano, Edson Eyji
4. Barbosa, Humberto Alves
5. Bustamante, Mercedes M.C.
6. Cardim, Pericles
7. Carvalho, Ana Paula Ferreira
8. Didan, Kamel
      9. Espirito-Santo, Fernando Del Bon
10. Ferreira, Manuel Eduardo
11. Klink, Carlos Augusto
12. Lobo, Fabio Carneiro
13. McCubbin, Ian B.
14. Miura, Tomoaki
15. Ratana, Piyachat
16. Shimabukuro, Yosio Edemir

Point(s) of Contact:

Huete, Dr. Alfredo R. (ahuete@ag.arizona.edu)

Dataset Abstract:

Use of Airborne Remote Sensing for Uncertainty Assessments in Regional Extrapolations of Ground LBA Ecology Measurements with MODIS Data in Brazil (AIRB) As part of the scaling-up process, we will use AVIRIS hyperspectral reflectances to identify and discriminate the natural and altered land cover classes along the gradient of vegetation types using mixture models based on \'pure spectral signatures\' of \'endmember\' grassland, woodland, forest classes. This refined land cover characterization will be used in the scaling up of fAPAR, LAI, and % cover to AVIRIS pixel size (4 m) and the coarser Landsat ETM+ (30 m) and MODIS (250 m to 1 km) sensors. Our scaling and extrapolation approach will result in regional mapped products, with accuracy and uncertainty fields, that account for distinct, land cover dependent, functional relationships between ecologic parameter (linear and non-linear) and vegetation indices.

Beginning Date:

2002-06-10

Ending Date:

2002-07-30

Metadata Last Updated on:

2009-06-18

Data Status:

In Preparation for Archive

Access Constraints:

Public

Data Center URL:

Distribution Contact(s):

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

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):

Access Vegetation Parameters Data via LBA DIS ftp:  Search at ORNL DAAC
Access Soil Physical-Chemical Properties Data via LBA DIS ftp:  Search at ORNL DAAC
Access Soil ASD via LBA DIS ftp:  Search at ORNL DAAC
Access Soil ASD via ORNL DAAC ftp:  Search at ORNL DAAC
Access Soil Physical-Chemical Properties Data via ORNL DAAC ftp:  Search at ORNL DAAC
Access Vegetation Parameters Data via ORNL DAAC ftp:  Search at ORNL DAAC

Poster(s):

Search at ORNL DAAC
Search at ORNL DAAC
Search at ORNL DAAC

Documentation/Other Supporting Documents:

Readme file via LBA DIS: ftp://lba.cptec.inpe.br/lba_archives/LC/LC-19/readme.txt:  Search at ORNL DAAC
Data Set User's Guide (Draft):  Search at ORNL DAAC
Readme file via ORNL DAAC:  Search at ORNL DAAC

Citation Information - Other Details:

Huete, A.R., L. Ferreira, T. Miura, et al. 2008. LBA-ECO LC-19 Field Measurements 2002: Biophysical & Soil Parameters. 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
VEGETATION COVER BIOSPHERE VEGETATION FIELD INVESTIGATION HUMAN OBSERVER
LEAF AREA INDEX BIOSPHERE VEGETATION FIELD INVESTIGATION PLANT CANOPY ANALYZER
BIOMASS BIOSPHERE VEGETATION FIELD INVESTIGATION ANALYSIS
FRACTIONAL ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION BIOSPHERE VEGETATION FIELD INVESTIGATION CEPTOMETER
LAND COVER BIOSPHERE VEGETATION FIELD INVESTIGATION SPECTRORADIOMETER
SOIL BULK DENSITY LAND SURFACE SOILS FIELD INVESTIGATION SOIL PROBE
SOIL COLOR LAND SURFACE SOILS FIELD INVESTIGATION HUMAN OBSERVER
SOIL TEXTURE LAND SURFACE SOILS FIELD INVESTIGATION HUMAN OBSERVER
SOIL TEMPERATURE LAND SURFACE SOILS FIELD SURVEY SOIL THERMOMETER
REFLECTANCE LAND SURFACE SURFACE RADIATIVE PROPERTIES LABORATORY SPECTROMETER
REFLECTANCE LAND SURFACE SURFACE RADIATIVE PROPERTIES FIELD INVESTIGATION SPECTROMETER
CANOPY CHARACTERISTICS BIOSPHERE VEGETATION FIELD INVESTIGATION PLANT CANOPY ANALYZER
SOIL BULK DENSITY LAND SURFACE SOILS FIELD INVESTIGATION AUGER

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Brasilia Brasilia National Park -15.58333 -15.75000 -47.88333 -48.08333
Para Western (Santarem) km 67 Primary Forest Tower Site -2.85700 -2.85700 -54.95900 -54.95900
Tocantins Cangacu Research Center 0.00000 0.00000

Related Publication(s):

Ferreira, L.G., H. Yoshioka, A. Huete, and E.E. Sano. 2003. Seasonal landscape and spectral vegetation index dynamics in the Brazilian Cerrado: An analysis within the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). Remote Sensing of Environment 87(4):534-550.

Ferreira, L.G., H. Yoshioka, Y. Huete, and E.E. Sano. 2004. Optical characterization of the Brazilian savanna physiognomies for improved land cover monitoring of the cerrado biome: preliminary assessments from an airborne campaign over an LBA core site. Journal of Arid Environments 56(3):425-447.

Huete, A., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83(1-2):195-213.

Ratana, P., A.R. Huete, and L. Ferreira. 2005. Analysis of Cerrado Physiognomies and Conversion in the MODIS Seasonal-Temporal Domain. Earth Interactions 9(3):1-22.

Yoshioka, H., Miura, T., Yamamoto, H., and A. Huete. 2003. An Isoline-Based Translation Technique of Spectral Vegetation Index Using EO-1 Hyperion Data. IEEE Transactions on Geoscience and Remote Sensing, 41: 1363-1372.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Biophysical and soil parameters were collected at Brasilia National Park (BNP, Aguas Emnendadas Ecological Station (AE), Cangacu near Bananal Island, and Tapajos areas. The field measurements were conducted in June to July 2002.




LC-19 Use of Airborne Remote Sensing for Uncertainty Assessments in Regional Extrapolations of Ground LBA Ecology Measurements with MODIS Data in Brazil (AIRB)




Study sites: SANTAREM, CANGUCU AND BRASILIA

Year: 2001 - 2004


Field: Summer 2002


Sites: 23 Sites

Site Site Latitude Longitude Site Description

Number Name

1 BNP_CW -15.73285 -48.00338 Brasilia National Park Cerrado Woodland

2 BNP_WC -15.60981 -48.02948 Brasilia National Park Wooded Cerrado

3 BNP_SC -15.58936 -48.00663 Brasilia National Park Shrub Cerrado

4 AE_CW -15.57276 -47.59092 Aguas Emendadas Cerrado woodland

5 AE_WC -15.57845 -47.62727 Aguas Emendadas Wooded Cerrado

6 AE_CG -15.54719 -47.61507 Aguas Emendadas Cerrado Grassland

7 RJ_WoT -15.23455 -47.69398 Rio de Janeiro Farm Without Treatment

8 RJ_BU -15.23003 -47.69225 Rio de Janeiro Farm Burned

9 RJ_WT -15.23142 -47.69372 Rio de Janeiro Farm With treatment (0-50m)

-15.23142 -47.69441 Rio de Janeiro Farm With treatment (50-100m)

10 CA_P8 -10.04658 -49.89980 Cangusu 8-year Pasture

11 CA_CW -10.06633 -49.90696 Cangusu Cerrado Woodland

12 CA_P3 -10.06339 -49.91322 Cangusu 3-year Pasture

13 CA_P1 -10.06155 -49.90547 Cangusu 1-year Pasture

14 SA_PA -9.71817 -50.40072 Santana do Araguaia 20-year Pasture

15 SA_CP -9.74540 -50.30674 Santana Araguaia Capoeira

16 TP_67U -2.8544 -54.95977 Upland Km67 Primary Forest

17 TP_67L -2.84238 -54.97889 Lowland Primary Forest

18 TP_89U -3.12074 -54.90156 Upland Old Logged Forest

19 TP_77RE -3.01520 -54.90799 8-year old Regeneration Forest

20 TP_93PA -3.12714 -54.94476 12-year old Pasture

21 TP_83SL1 -3.04599 -54.95298 Selectively Logged Forest Site1

22 TP_83SL2 -3.03119 -55.01072 Selectively Logged Forest Site2

23 TP_103U -9.74322 -50.30741 Upland Old Logged Forest in Tapajos National Forest






Measurements:

1) Soil physical & chemical properties

2) LAI/fAPAR

3) Cover componemt

4) ASD tissue & transect spectra








Data are provided as ASCII text files and are organized in three data directories:

Soil_ASD

Soil_PhysChem_Properties

Vegetation_Parameters

Data Application and Derivation:

The results of this study will enable the detection of \'hotspots\' of land conversion activities with the MODIS sensor; enable for their fine-scale analysis with the Landsat ETM+ sensor; and allow a time-series analysis with the AVHRR historical data. This will greatly aid seasonal and inter-annual carbon balance studies in the Cerrado and Amazon transition regions.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Not available

Process Description:

Data Acquisition Materials and Methods:

Biophysical measurements along transects included percent cover component, the leaf area and plant area index (LAI/PAI), the fraction of absorbed photosynthetically active radiation (fAPAR), and soil characteristics. Soil samples were collected and sent to the laboratory for chemical analysis. We used ASD to measure soil spectra. We also flew low level MQUALS flights over the diverse Brazilian cerrado biome (dry grassland - woodland cerrado - cerrado-forest transition) to the seasonal Amazon forest biome, including their land use and land converted classes.



Sensors:

LAI 2000

ASD - Analytical Spectral Devices, Inc., Airborne Spectrometer



Platform/Sensor/Parameters measured include: FIELD INVESTIGATION / HUMAN OBSERVER / VEGETATION COVER

* FIELD INVESTIGATION / LICOR PLANT CANOPY ANALYZER / LEAF AREA INDEX

* FIELD INVESTIGATION / ANALYSIS / BIOMASS

* FIELD INVESTIGATION / CEPTOMETER / FRACTIONAL ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION

* FIELD INVESTIGATION / SPECTRORADIOMETER / LAND COVER

* FIELD INVESTIGATION / SOIL PROBE / SOIL BULK DENSITY

* FIELD INVESTIGATION / AUGER / SOIL BULK DENSITY

* FIELD INVESTIGATION / HUMAN OBSERVER / SOIL COLOR

* FIELD INVESTIGATION / HUMAN OBSERVER / SOIL TEXTURE

* FIELD SURVEY / SOIL THERMOMETER / SOIL TEMPERATURE

* LABORATORY / SPECTROMETER (ASD) / REFLECTANCE

* FIELD INVESTIGATION / SPECTROMETER (ASD) / REFLECTANCE

* FIELD INVESTIGATION / LICOR PLANT CANOPY ANALYZER / CANOPY CHARACTERISTICS



References:

Yoshioka, H., Miura, T., Yamamoto, H., and A. Huete. 2003. An Isoline-Based Translation Technique of Spectral Vegetation Index Using EO-1 Hyperion Data. IEEE Transactions on Geoscience and Remote Sensing, 41: 1363-1372.

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