Name
Abstract | ||
|---|---|---|
The goal of NASA's Land Long Term Data Record (LTDR) project is to produce a consistent long term data set from the AVHRR and MODIS instruments for land climate studies. The project will create daily surface reflectance and normalized difference vegetation index (NDVI) products at a resolution of 0.05 degrees, which is identical to the Climate Modeling Grid (CMG) used for MODIS products from EOS Terra and Aqua. Higher order products such as burned area, land surface temperature, albedo, bidirectional reflectance distribution function (BRDF) correction, leaf area index (LAI), and fraction of photosynthetically active radiation absorbed by vegetation (fPAR), will be created. The LTDR project will reprocess Global Area Coverage (GAC) data from AVHRR sensors onboard NOAA satellites by applying the preprocessing improvements identified in the AVHRR Pathfinder II project and atmospheric and BRDF corrections used in MODIS processing. The preprocessing improvements include radiometric in-flight vicarious calibration for the visible and near infrared channels and inverse navigation to relate an Earth location to each sensor instantaneous field of view (IFOV). Atmospheric corrections for Rayleigh scattering, ozone, and water vapor are undertaken, with aerosol correction being implemented. The LTDR also produces a surface reflectance product for channel 3 (3.75 mu m).Quality assessment (QA) is an integral part of the LTDR production system, which is monitoring temporal trends in the AVHRR products using time-series approaches developed for MODIS land product quality assessment. The land surface reflectance products have been evaluated at AERONET sites. The AVHRR data record from LTDR is also being compared to products from the PAL (Pathfinder AVHRR Land) and GIMMS (Global Inventory Modeling and Mapping Studies) systems to assess the relative merits of this reprocessing vis-h-vis these existing data products. The LTDR products and associated information can be found at http://itdr.nascom.nasa.gov/ltdr/ ltdr.html. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IGARSS.2007.4422974 | IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET |
Keywords | Field | DocType |
component, remote sensing, AVHRR, MODIS, climate studies | Bidirectional reflectance distribution function,AERONET,Meteorology,Leaf area index,Climate model,Satellite,Computer science,Remote sensing,Albedo,Advanced very-high-resolution radiometer,Normalized Difference Vegetation Index | Conference |
ISSN | Citations | PageRank |
2153-6996 | 23 | 3.46 |
References | Authors | |
2 | 16 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeffrey A. Pedelty | 1 | 92 | 18.60 |
| Sadashiva Devadiga | 2 | 39 | 6.90 |
| Edward J. Masuoka | 3 | 118 | 15.98 |
| Molly E. Brown | 4 | 24 | 4.82 |
| Jorge E. Pinzón | 5 | 79 | 12.16 |
| Compton J. Tucker | 6 | 146 | 30.96 |
| David P. Roy | 7 | 301 | 64.93 |
| Junchang Ju | 8 | 28 | 4.91 |
| Eric F. Vermote | 9 | 526 | 109.24 |
| Stephen Prince | 10 | 24 | 5.44 |
| Jyotheshwar Nagol | 11 | 23 | 3.46 |
| Christopher Justice | 12 | 23 | 3.80 |
| Crystal B. Schaaf | 13 | 102 | 15.25 |
| Jicheng Liu | 14 | 23 | 3.46 |
| Jeffrey L. Privette | 15 | 364 | 71.25 |
| A. C. T. Pinheiro | 16 | 78 | 12.65 |