Spectral Network (SpecNet)-What is it and why do we need it?

Remote Sensing of Environment

Volumn 103, Issue 3, 2006, Pages 227-235

  Gamon, J A ^a   Rahman, A F ^b   Dungan, J L ^c   Schildhauer, M ^d   Huemmrich, K F ^e  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b TEXAS TECH UNIVERSITY   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

^d NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^e UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

FLUXNET; Optical remote sensing; Satellite validation; Scaling; SpecNet (Spectral Network); Surface atmosphere flux

Indexed keywords

CARBON; MATHEMATICAL MODELS; OPTICAL VARIABLES MEASUREMENT; STATISTICAL METHODS;

FLUXNET; OPTICAL REMOTE SENSING; SATELLITE VALIDATIONS; SCALING; SPECNET (SPECTRAL NETWORK); SURFACE-ATMOSPHERE FLUX;

REMOTE SENSING;

AIR-SOIL INTERACTION; ATMOSPHERE; CARBON FLUX; FLUX MEASUREMENT; REMOTE SENSING; WATER VAPOR;

EID: 33746242930     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2006.04.003     Document Type: Article

References (46)

1. Asner G.P., Wessman C.A., Schimel D.S., and Archer S. Variability in leaf and litter optical properties: Implications for BRDF model inversions using AVHRR, MODIS and MISR. Remote Sensing of Environment 63 (1998) 243-257
2. Castro-Esau K.L., Sanchez-Azofeifa A., and Rivard B. Comparison of spectral indices obtained using multiple spectroradiometers. Remote Sensing of Environment 103 (2006) 276-288 10.1016/j.rse.2005.01.019 (this issue)
3. Chen X., and Vierling L. Spectral mixture analyses of hyperspectral data acquired using a tethered balloon. Remote Sensing of Environment 103 (2006) 338-350 10.1016/j.rse.2005.05.023 (this issue)
4. Cheng Y., Gamon J.A., Fuentes D.A., Mao Z., Sims D.A., Qui H.-L., et al. A multi-scale analysis of dynamic optical signals in a Southern California chaparral ecosystem: A comparison of field, AVIRIS and MODIS data. Remote Sensing of Environment 103 (2006) 369-378 10.1016/j.rse.2005.06.013 (this issue)
5. Claudio H.C., Cheng Y., Fuentes D.A., Gamon J.A., Luo H., and Oechel W. Monitoring drought effects on vegetation water content and fluxes in chaparral with the 970 nm water band index. Remote Sensing of Environment 103 (2006) 304-311 10.1016/j.rse.2005.07.015 (this issue)
6. Daughtry C.S.T., Ranson K.J., and Biehl L.L. A new technique to measure the spectral properties of conifer needles. Remote Sensing of Environment 27 (1989) 81-91
7. Dawson T.P., Curran P.J., and Plummer S.E. LIBERTY - Modeling the effects of leaf biochemical concentration on reflectance spectra. Remote Sensing of Environment 65 1 (1998) 50-60
8. Estrin D., Michener W., and Bonito G. Environmental cyberinfrastructure needs for distributed sensor networks: A report from a National Science Foundation Sponsored Workshop. 12-14 August (2003), Scripps Institute of Oceanography
9. 2 uptake of a Mediterranean shrubland submitted to experimental warming and drought. Remote Sensing of Environment 90 (2004) 308-318
10. Foley S.E., Rivard B., Sanchez-Azofeifa A., and Calvo-Alvarado J.C. Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sensing of Environment 103 (2006) 265-275 10.1016/j.rse.2005.06.014 (this issue)
11. Fuentes D.A., Gamon J.A., Cheng Y., Qui H.-L., Mao Z., Sims D.A., et al. Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS. Remote Sensing of Environment 103 (2006) 312-323 10.1016/j.rse.2005.10.028 (this issue)
12. Gamon J.A., Cheng Y., Claudio H.C., MacKinney L., et al. A mobile tram system for systematic sampling of ecosystem optical properties. Remote Sensing of Environment 103 (2006) 246-254 10.1016/j.rse.2005.04.006 (this issue)
13. Gamon J.A., Field C.B., Goulden M., Griffin K., Hartley A., Joel G., et al. Relationships between NDVI, canopy structure, and photosynthetic activity in three Californian vegetation types. Ecological Applications 5 1 (1995) 28-41
14. Gamon J.A., Huemmrich K.F., Peddle D.R., Chen J., Fuentes D., Hall F.G., et al. Remote sensing in BOREAS: Lessons learned. Remote Sensing of Environment 89 (2004) 139-162
15. Gamon J.A., Peñuelas J., and Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41 (1992) 35-44
16. Gamon J.A., and Surfus J.S. Assessing leaf pigment content and activity with a reflectometer. New Phytologist 143 (1999) 105-117
17. Goel N.S. Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data. Remote Sensing Reviews 4 (1988) 1-212
18. Goulden M.L., Daube B.C., Fan S.M., Sutton D.J., Bazzaz A., Munger J.W., et al. Physiological responses of a black spruce forest to weather. Journal of Geophysical Research 102 D24 (1997) 28987-28996
19. Green J.L., Hastings A., Arzberger P., Ayala F.J., Cottingham K.L., Cuddington K., et al. Complexity in ecology and conservation: Mathematical, statistical, and computational challenges. Bioscience 55 6 (2005) 501-510
20. 2 flux and light use efficiency measurements. Remote Sensing of Environment 103 (2006) 351-368 10.1016/j.rse.2005.06.015 (this issue)
21. Hogberg P., Nordgren A., Buchmann N., Taylor A.F.S., Ekblad A., Hogberg M.N., et al. Large-scale forest girdling shows that current photosynthesis drives soil respiration. Nature 411 (2001) 789-792
22. Huemmrich K.F., Privette J.L., Mukelabai M., Myneni R.B., and Knyazikhin Y. Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa. International Journal of Remote Sensing 26 19 (2005) 4381-4398
23. Jones M.B., Berkley C., Bojilova J., and Schildhauer M. Managing scientific metadata. IEEE Internet Computing 5 5 (2001) 59-68
24. Keppler F., Hamilton J.T.G., Bra M., and Röckmann T. Methane emissions from terrestrial plants under aerobic conditions. Nature 439 (2006) 187-191
25. Lawler A. Mission to planet Earth: NASA boosts earth science grants. Science 277 (1997) 1198
26. Lawler A. Earth science: Terra launch spotlights NASA observing system. Science 286 (1999) 2064-2065
27. Leuning R., Hughes D., Daniel P., Coops N.C., and Newnham G. A multi-angle spectrometer for automatic measurement of plant canopy reflectance spectra. Remote Sensing of Environment 103 (2006) 236-245 10.1016/j.rse.2005.06.016 (this issue)
28. Middleton E.M. Quantifying reflectance anisotropy of photosynthetically active radiation in grasslands. Journal of Geophysical Research D, Atmospheres 97 (1992) 18935-18946
29. Moncreiff J.B., Malhi Y., and Leuning R. The propagation of errors in long-term measurements of land-atmosphere fluxes of carbon and water. Global Change Biology 2 (1996) 231-240
30. Newcomer J.A., Huemmrich K.F., Landis D., Nickeson J., Conrad S., Knapp D., et al. Managing and supporting large integrated and interdisciplinary field studies: The BOREAS example. Journal of Geophysical Research 106 D24 (2001) 33,517-33,528
31. Nichol C.J., Huemmrich K.F., Black T.A., Jarvis P.J., Walthall C.L., Grace J., et al. Remote sensing of photosynthetic light-use efficiency of boreal forest. Agricultural and Forest Meteorology 101 (2000) 131-142
32. Oliphant A.J., Grimmond S.B., Schmid H.-P., and Wayson C.A. Local-scale heterogeneity of photosynthetically active radiation (PAR), absorbed PAR and net radiation as a function of topography, sky conditions and leaf area index. Remote Sensing of Environment 103 (2006) 324-337 10.1016/j.rse.2005.09.021 (this issue)
33. 2 flux from terrestrial vegetation: A novel approach. Geophysical Research Letters 31 (2004) L10503 10.1029/2004GL019778
34. Rahman A.F., Gamon J.A., Fuentes D.A., Roberts D.A., and Prentiss D. Modeling spatially distributed ecosystem flux of boreal forests using hyperspectral indices from AVIRIS imagery. Journal of Geophysical Research 106 D24 (2001) 33,579-33,591
35. Raupach M.R., Rayner P.J., Barrett D.J., DeFries R., Heimann M., Ojima D.S., et al. Model-data synthesis in terrestrial carbon observation: Methods, data requirements and data uncertainty specifications. Global Change Biology 11 (2005) 378-397
36. Running S.W., Baldocchi D.D., Turner D.P., Gower S.T., Bakwin P.S., and Hibbard K.A. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling, and EOS satellite data. Remote Sensing of Environment 70 (1999) 108-127
37. Running S.W., Nemani R.R., Heinsch F.A., Zhao M., Reeves M., and Hashimoto H. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54 (2004) 547-560
38. 2 on climate. Science 271 (1996) 1402-1406
39. 2 exchange in response to drought in a Southern California chaparral ecosystem. Remote Sensing of Environment 103 (2006) 289-303 10.1016/j.rse.2005.01.020 (this issue)
40. 2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux. Agricultural and Forest Meteorology 131 (2005) 1-12
41. Stylinski C.D., Gamon J.A., and Oechel W.C. Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 131 (2002) 366-374
42. 2 budget. Science 247 (1990) 1431-1438
43. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Zhao M., Running S.W., et al. Scaling gross primary production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment 88 (2003) 256-270
44. Turner D.P., Ritts W., Cohen W.B., Maeirsperger T., Gower S.T., Kirschbaum A., et al. Site-level evaluation of satellite-based global GPP and NPP monitoring. Global Change Biology 11 (2005) 666-684
45. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sensing of Environment 16 (1984) 125-141
46. Vierling L., Fersdahl M., Chen X., and Zimmerman P. The Short Wave Aerostat-Mounted Imager (SWAMI): A novel platform for acquiring remotely sensed data from a tethered balloon. Remote Sensing of Environment 103 (2006) 255-264 10.1016/j.rse.2005.01.021 (this issue)