Wednesday, December 10, 2014

NOAA AVHRR


NOAA - AVHRR
Main objectives
Detect cloud distribution and temperatures, sea surface temperature, and snow and ice cover; agricultural assessment, land cover mapping, monitoring vegetation and ecosystems
Platform
Satellite name
Polar-orbiting weather satellites (POES)
Operator
NOAA
Sensors
AVHRR
Launch date
13 October 1978
Launch vehicle
TIROS-N, NOAA 6, 7, 8, 9, NOAA 10, 11, 12, 14, NOAA 17, NOAA 18, NOAA 15, NOAA 16, 19, NOAA KLM
Satellite mass
Varies based on satellite; AVHRR weighs 72 lbs
Design lifetime
TIROS-N: 2 year
Orbit
Altitude
833 km
Inclination
98
Orbital period
98 to 102 minutes
Characteristics
Sun-synchronous
Overpass time
Day times and nighttime orbit
Repeat coverage
Daily
Coverage
Global
Sensor
Type
Advanced Very High Resolution Radiometer (AVHRR)
Manufacturer
ITT, Aerospace/Communications Division
Sensor type
AVHRR
Swath width (FOV)
2399 km to 2700 km
Pixel size (GIFOV)
1.1 km
Radiometric resolution
10 bit
Spectral bands
Data
Data provider
NOAA
Data distribution
Free-of-charge, unlimited re-distribution
Data access
Command and Data Acquisition stations
Data archive
Since 1981
Processing levels
Level 1b data sets
Data format
High Resolution Picture Transition, Local Area Coverage, Global Area Coverage
Image catalog
https://crepadweb.cec.inta.es/app/inicio.jsp
Publications (669 total)
Huete, A, Dian, K, Miura, T, Rodriguez, EP, Gao, X, Ferreira, LG. “Overview of the radiometric and biophysical performance of the MODIS vegetation indices”.  Remote Sensing of Environment (2002). 83. December 2014.
They analyzed MODIS NDVI and EVI, and evaluated the performance and validity against NOAA-14 AVHRR NDVI temporal profiles.

Tucker, CJ; Pinzon, JE; Brown, ME; Slayback, DA; Pak, EW; Mahoney, R; Vermote, EF); El Saleous, N. “An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data”. International Journal of Remote Sensing (2005). 26. December 2014.
Data from AVHRR 4km coverage was transformed into 8 km data.  It included volcanic stratospheric aerosol correction, DNVI normalization, correcting dropped scan lines, navigation errors, discontinues and data drop outs. 

Lu, D, Mausel, P, Brondizio, E, Moran, E. “Change detection techniques”. International Journal of Remote Sensing (2004). 25. December 2014
They summarize change detection technique changes over time.  They discuss algorithm changes and new techniques for satellite and airborne sesnsors described in previous literature.

Cramer, W; Kicklighter, DW; Bondeau, A; Moore, B; Churkina, G; Nemry, B; Ruimy, A; Schloss, AL. “Comparing global models of terrestrial net primary productivity (NPP): overview and key results”. Global Change Biology (1999). December 2014.
Seventeen models of terrestrial biogeochemistry compared to seasonal changes in NPP from NOAA/AVHRR, carbon flux simulations, and vegetation and carbon flux models.  Global NPPP and annual NPP coincided.  They were also affected by water and seasonal variation,

Pettorelli, N; Vik, JO; Mysterud, A; Gaillard, JM; Tucker, CJ; Stenseth, NC. “Using the satellite-derived NDVI to assess ecological responses to environmental change”. Trends in Ecology & Evolution (2005). December 2014.
Analyze how NDVI is used in ecological studies and discuss how it can be used in environmental change literature.
References
WIKI
Publications
http://apps.webofknowledge.com/summary.do?product=UA&parentProduct=UA&search_mode=GeneralSearch&qid=1&SID=4AVkTMdEtFWehxiinzh&page=1&action=sort&sortBy=TC.D;PY.D;AU.A;SO.A;VL.D;PG.A&showFirstPage=1
Spectral bands
http://noaasis.noaa.gov/NOAASIS/ml/avhrr.html
Data format
http://edc2.usgs.gov/1KM/avhrr_sensor.php



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