Prototype Validation Exercise (PROVE) Project/Campaign Document

Summary:

The Prototype Validation Exercies (PROVE) was a mini field campaign conducted in May 1997 near Las Cruces, New Mexico, U.S.A, at the Jornada Experimental Range. Prove sought to gain experience in the collection and use of field data for EOS product validation, to develop protocols for coordination, measurement, and data- archival, and to compile a synoptic land and atmosphere data set for testing algorithms.

Table of Contents:

1. Project/Campaign Overview:

Name of Project/Campaign:

The PROtotype Validation Exercise (PROVE)

Project/Campaign Introduction:

The Prototype Validation Exercise (PROVE) was a mini field campaign conducted at the Jornada Experimental Range in the Chihuahuan Desert, near Las Cruces, New Mexico in May 1997.

The remote-sensing portion of PROVE involved investigators from three NASA Earth Observing System (EOS) instrument teams:

The campaign also coincided with the AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) flight coordinated by the U.S. Department of Agriculture and with Jornada Long-Term Ecological Research projects in the same basin.

Project/Campaign Mission Objectives:

The goals of PROVE were to:

  1. Gain experience in the collection and use of field data for EOS product validation
  2. Develop protocols for coordination, measurement, and data archival
  3. Compile a synoptic land and atmospheric data set for testing algorithms

Discipline(s):

Earth Science

Geographic Region(s):

Jornada Experimental Range in the Chihuahua Desert, New Mexico, U.S.A.

Detailed Project/Campaign Description:

A diverse group of researchers from both within and without the EOS community gathered in late May 1997 at the Jornada Experimental Range near Las Cruces, New Mexico, for the Grassland Prototype Validation Exercise (PROVE). Grassland represents the first PROVE campaign (a Forest PROVE was held in August), and was the result of a joint agreement by MODIS, MISR, and ASTER, and also included participants from the USDA-Agricultural Research Service (ARS), Jornada Long Term Ecological Research Project (LTER), Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC), Boston University, and the Universities of Arizona, Colorado, Montana, Nebraska, and Oklahoma. GSFC physical scientist Jeff Privette, who helped coordinate the activity, stated, "The PROVE campaigns focus on how quickly and accurately we can measure the relevant parameters for the validation of MODIS and other AM instrument products over a range of surface conditions. During the PROVE campaigns we are prototyping remote sensing algorithms, as well as methods for collecting field data commensurate with satellite spatial resolutions, and asking how we can measure the relevant parameters on the ground to validate the planned remote sensing products.

Five data sets were compiled during this compaign:

  • GOES-8 Images
  • Land Cover and Leaf Area
  • MQUALS Reflectance
  • Surface Albedo
  • Vegetation Reflectance

Background Information:

2. Data Availability:

Data Type(s):

Imagery and tabular data.

Input/Output Media:

Selected data and imagery are available from the ORNL DAAC Web site (http://daac.ornl.gov/PROVE/prove.shtml).

Proprietary Status:

The data are free for public use.

3. Data Access:

Data Center Location:

The Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) is housed within the Environmental Sciences Division at Oak Ridge National Laboratory, which is located in Oak Ridge, Tennessee, U.S.A.

Contact Information:

ORNL DAAC User Services Office
Oak Ridge National Laboratory
Telephone: +1 (865) 241-3952
E-mail: uso@daac.ornl.gov

Associated Costs:

The data are are available free of charge.

4. Principal Investigator Information:

Varies.

5. Submitting Investigator Information:

Varies.

6. References:

PROVE/Jornada Citations

Background Article

Privette, J. L., G. P. Asner, J. Conel, K. F. Huemmrich, R. Olson, A. Rango, A. F. Rahman, K. Thome, and E. A. Walter-Shea. 2000. The EOS prototype validation exercise (PROVE) at Jornada: Overview and lessons learned. Remote Sensing of Environment 74(1): 1-12.

Other Articles

Asner, G. P., and D. B. Lobell. 2000. A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment 74(1): 99-112.

Asner, G. P., C. A. Wessman, C. A. Bateson, and J. L. Privette. 2000. Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems. Remote Sensing of Environment 74(1): 69-84.

Barnsley, M. J., P. D. Hobson, A. H. Hyman, W. Lucht, J. P. Muller, and A. H. Strahler. 2000. Characterizing the spatial variability of broadband albedo in a semidesert environment for MODIS validation. Remote Sensing of Environment 74(1): 58-68.

Chopping, M. J. 2000. Large-scale BRDF retrieval over New Mexico with a multiangular NOAA AVHRR data set. Remote Sensing of Environment 74(1): 163-191.

Havstad, K. M., W. P. Kustas, A. Rango, J. C. Ritchie, and T. J. Schmugge. 2000. Jornada Experimental Range: A unique arid land location for experiments to validate satellite systems. Remote Sensing of Environment 74(1): 13-25.

Lucht, W., A. H. Hyman, A. H. Strahler, M. J. Barnsley, P. Hobson, and J. P. Muller. 2000. A comparison of satellite-derived spectral albedos to ground-based broadband albedo measurements modeled to satellite spatial scale for a semidesert landscape. Remote Sensing of Environment 74(1): 85-98.

Ni, W., and X. Li. 2000. A coupled vegetation-soil bidirectional reflectance model for a semiarid landscape. Remote Sensing of Environment 74(1): 113-124.

Qin, W. H., and S. A. W. Gerstl. 2000. 3-D scene modeling of semidesert vegetation cover and its radiation regime. Remote Sensing of Environment 74(1): 145-162.

Rango, A., M. Chopping, J. Ritchie, K. Havstad, W. Kustas, and T. Schmugge. 2000. Morphological characteristics of shrub coppice dunes in desert grasslands of southern New Mexico derived from scanning LIDAR. Remote Sensing of Environment 74(1): 26-44.

Shabanov, N. V., Y. Knyazikhin, F. Baret, and R. B. Myneni. 2000. Stochastic modeling of radiation regime in discontinuous vegetation canopies. Remote Sensing of Environment 74(1): 125-144.

White, M. A., G. P. Asner, R. R. Nemani, J. L. Privette, and S. W. Running. 2000. Measuring fractional cover and leaf area index in arid ecosystems: Digital camera, radiation transmittance, and laser altimetry methods. Remote Sensing of Environment 74(1): 45-57.

7. Glossary of Terms:

A glossary is available at http://cdiac.esd.ornl.gov/cdiac/glossary.html. For additional terms, see the EOSDIS glossary at http://www-v0ims.gsfc.nasa.gov/v0ims/glossary.of.terms.html.

8. List of Acronyms:

MODIS
Moderate-Resolution Imaging Spectrometer
ASTER
Advanced Space-borne Thermal Emission and Reflectance Radiometer
DAAC
Distributed Active Archive Center
FTP
file transfer protocol
PROVE
Prototype Validation Exercise
MISR
Multi-Angle Imaging Spectro Radiometer
MODIS
Moderate-Resolution Imaging Spectrometer
ORNL
Oak Ridge National Laboratory
URL
Uniform Resource Locator

9. Document Information:

Document Revision Date:

January 22, 2010

Document Curator:

webmaster@daac.ornl.gov

Document