Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras

Remote Sensing of Environment

Volumn 126, Issue , 2012, Pages 116-125

  Ryu, Youngryel ^a,b   Verfaillie, Joseph ^b   Macfarlane, Craig ^c   Kobayashi, Hideki ^b,d   Sonnentag, Oliver ^b,e   Vargas, Rodrigo ^b,f   Ma, Siyan ^b   Baldocchi, Dennis D ^b  

^a Seoul National University   (South Korea)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CSIRO   (Australia)

^d JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^e UNIVERSITÉ DE MONTRÉAL   (Canada)

^f UNIVERSITY OF DELAWARE   (United States)

Author keywords

Clumping index; Digital camera; Digital cover photography; Disturbance; Gap fraction; Leaf area index; MODIS; Remote sensing

Indexed keywords

CLUMPING INDEX; DISTURBANCE; GAP FRACTION; LEAF AREA INDEX; MODIS;

DIGITAL CAMERAS; FORESTRY; MEAN SQUARE ERROR; PHENOLS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; VIDEO CAMERAS;

ECOSYSTEMS;

DIGITAL IMAGE; DISTURBANCE; ENVIRONMENTAL CHANGE; FRACTIONATION; GRASS; LEAF AREA INDEX; LITTERFALL; MODIS; OBSERVATIONAL METHOD; PHENOLOGY; PHOTOGRAPHY;

CLUMPS; ECOSYSTEMS; FORESTRY; LEAVES; PHENOLS; PHOTOGRAPHY; RADIOMETRY; REMOTE SENSING;

CALIFORNIA; UNITED STATES;

EID: 84865829516     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.08.027     Document Type: Article

References (69)

1. Anderson M.C. Stand structure and light penetration. 2. A theoretical analysis. Journal of Applied Ecology 1966, 3(1):41-54.
2. 2 uptake enhancement induced by warmer springs. Proceedings of the National Academy of Sciences of the United States of America 2005, 102(31):10823-10827.
3. Archibald S., Scholes R.J. Leaf green-up in a semi-arid African savanna - Separating tree and grass responses to environmental cues. Journal of Vegetation Science 2007, 18(4):583-594.
4. Baldocchi D.D., Harley P.C. Scaling carbon dioxide and water vapour exchange from leaf to canopy in a deciduous forest. II. Model testing and application. Plant Cell and Environment 1995, 18(10):1157-1173.
5. Baldocchi D.D., Xu L.K., Kiang N. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agricultural and Forest Meteorology 2004, 123(1-2):13-39.
6. Baret F., de Solan B., Lopez-Lozano R., Ma K., Weiss M. GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5° zenith angle: Theoretical considerations based on 3D architecture models and application to wheat crops. Agricultural and Forest Meteorology 2010, 150(11):1393-1401.
7. Barr A.G., Black T.A., Hogg E.H., Kljun N., Morgenstern K., Nesic Z. Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agricultural and Forest Meteorology 2004, 126(3-4):237-255.
8. Botta A., Viovy N., Ciais P., Friedlingstein P., Monfray P. A global prognostic scheme of leaf onset using satellite data. Global Change Biology 2000, 6(7):709-725.
9. Chase T.N., Pielke R.A., Kittel T.G.F., Nemani R., Running S.W. Sensitivity of a general circulation model to global changes in leaf area index. Journal of Geophysical Research-Atmospheres 1996, 101(D3):7393-7408.
10. Chen J.M., Govind A., Sonnentag O., Zhang Y.Q., Barr A., Amiro B. Leaf area index measurements at Fluxnet-Canada forest sites. Agricultural and Forest Meteorology 2006, 140(1-4):257-268.
11. Chen J.M., Mo G., Pisek J., Liu J., Deng F., Ishizawa M., et al. Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Global Biogeochemical Cycles 2012, 26(GB1019). 10.1029/2010gb003996.
12. Chen J.M., Rich P.M., Gower S.T., Norman J.M., Plummer S. Leaf area index of boreal forests: Theory, techniques, and measurements. Journal of Geophysical Research-Atmospheres 1997, 102(D24):29429-29443.
13. Chen Q., Baldocchi D., Gong P., Dawson T. Modeling radiation and photosynthesis of a heterogeneous savanna woodland landscape with a hierarchy of model complexities. Agricultural and Forest Meteorology 2008, 148(6-7):1005-1020.
14. Fang H., Liang S., Townshend J.R., Dickinson R.E. Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America. Remote Sensing of Environment 2008, 112:75-93.
15. Fuentes S., Palmer A.R., Taylor D., Zeppel M., Whitley R., Eamus D. An automated procedure for estimating the leaf area index (LAI) of woodland ecosystems using digital imagery, MATLAB programming and its application to an examination of the relationship between remotely sensed and field measurements of LAI. Functional Plant Biology 2008, 35(9-10):1070-1079.
16. Garrigues S., Lacaze R., Baret F., Morisette J.T., Weiss M., Nickeson J.E., et al. Validation and intercomparison of global leaf area index products derived from remote sensing data. Journal of Geophysical Research-Biogeosciences 2008, 113(G02028). 10.1029/2007JG000635.
17. Hanninen H., Kramer K. A framework for modelling the annual cycle of trees in boreal and temperate regions. Silva Fennica 2007, 41(1):167-205.
18. He L., Chen J.M., Pisek J., Schaaf C.B., Strahler A.H. Global clumping index map derived from the MODIS BRDF product. Remote Sensing of Environment 2012, 119:118-130.
19. Higgins S.I., Delgado-Cartay M.D., February E.C., Combrink H.J. Is there a temporal niche separation in the leaf phenology of savanna trees and grasses?. Journal of Biogeography 2011, 38(11):2165-2175.
20. Jolly W.M., Nemani R., Running S.W. A generalized, bioclimatic index to predict foliar phenology in response to climate. Global Change Biology 2005, 11(4):619-632.
21. Kim J., Guo Q., Baldocchi D.D., Leclerc M., Xu L., Schmid H.P. Upscaling fluxes from tower to landscape: Overlaying flux footprints on high-resolution (IKONOS) images of vegetation cover. Agricultural and Forest Meteorology 2006, 136(3-4):132-146.
22. Kobayashi H., Baldocchi D.D., Ryu Y., Chen Q., Ma S., Osuna J.L., et al. Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach. Agricultural and Forest Meteorology 2012, 152:83-100.
23. Kobayashi H., Dye D.G. Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index. Remote Sensing of Environment 2005, 97(4):519-525.
24. Kobayashi, H., Ryu, Y., Baldocchi, D. D., Welles, J. M., & Norman, J.M. (in review). On the correct estimation of gap fraction: how to remove scattered radiation in the gap fraction measurements? Agricultural and Forest Meteorology.
25. Kucharik C.J., Norman J.M., Gower S.T. Measurements of branch area and adjusting leaf area index indirect measurements. Agricultural and Forest Meteorology 1998, 91(1-2):69-88.
26. Lang A.R.G., Xiang Y. Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies. Agricultural and Forest Meteorology 1986, 37(3):229-243.
27. Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J. Lidar remote sensing for ecosystem studies. Bioscience 2002, 52(1):19-30.
28. Leuning R., Kelliher F.M., Depury D.G.G., Schulze E.D. Leaf nitrogen, photosynthesis, conductance and transpiration - Scaling from leaves to canopies. Plant, Cell & Environment 1995, 18(10):1183-1200.
29. Liu J., Pattey E. Retrieval of leaf area index from top-of-canopy digital photography over agricultural crops. Agricultural and Forest Meteorology 2010, 150(11):1485-1490.
30. Ma S., Baldocchi D.D., Xu L., Hehn T. Inter-annual variability in carbon dioxide exchange of an oak/grass savanna and open grassland in California. Agricultural and Forest Meteorology 2007, 147(3-4):157-171.
31. Macfarlane C. Classification method of mixed pixels does not affect canopy metrics from digital images of forest overstorey. Agricultural and Forest Meteorology 2011, 151(7):833-840.
32. Macfarlane C., Hoffman M., Eamus D., Kerp N., Higginson S., McMurtrie R., et al. Estimation of leaf area index in eucalypt forest using digital photography. Agricultural and Forest Meteorology 2007, 143(3-4):176-188.
33. Macfarlane C., Ogden G.N. Automated estimation of foliage cover in forest understorey from digital nadir images. Methods in Ecology and Evolution 2012, 3(2):405-415.
34. Morisette J.T., Richardson A.D., Knapp A.K., Fisher J.I., Graham E.A., Abatzoglou J., et al. Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century. Frontiers in Ecology and the Environment 2009, 7(5):253-260.
35. Myneni R.B., Hoffman S., Knyazikhin Y., Privette J.L., Glassy J., Tian Y., et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 2002, 83(1-2):214-231.
36. Nilson T. Theoretical analysis of frequency of gaps in plant stands. Agricultural Meteorology 1971, 8(1):25-38.
37. Nilson T. Inversion of gap frequency data in forest stands. Agricultural and Forest Meteorology 1999, 98-99:437-448.
38. Nilson T., Kuusk A. Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. Agricultural and Forest Meteorology 2004, 124(3-4):157-169.
39. Norman J.M., Campbell G.S. Canopy structure. Plant physiological ecology 1989, 301-325. Chapman and Hall, London. R.W. Pearcy, J. Ehleringer, H.A. Mooney, P. Rundel (Eds.).
40. Parmesan C., Yohe G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 2003, 421(6918):37-42.
41. Peñuelas J., Rutishauser T., Filella I. Phenology feedbacks on climate change. Science 2009, 324(5929):887-888.
42. Peckham S.D., Ahl D.E., Serbin S.P., Gower S.T. Fire-induced changes in green-up and leaf maturity of the Canadian boreal forest. Remote Sensing of Environment 2008, 112(9):3594-3603.
43. Penuelas J., Filella I. Phenology - Responses to a warming world. Science 2001, 294(5543):793-795.
44. Pisek J., Ryu Y., Alikas K. Estimating leaf inclination and G-function from leveled digital camera photography in broadleaf canopies. Trees - Structure and Function 2011, 25:919-924.
45. Privette J.L., Myneni R.B., Knyazikhin Y., Mukelabai M., Roberts G., Tian Y., et al. Early spatial and temporal validation of MODIS LAI product in the Southern Africa Kalahari. Remote Sensing of Environment 2002, 83(1-2):232-243.
46. Richardson A.D., Braswell B.H., Hollinger D.Y., Jenkins J.P., Ollinger S.V. Near-surface remote sensing of spatial and temporal variation in canopy phenology. Ecological Applications 2009, 19(6):1417-1428.
47. Rodriguez-Iturbe I., D'Odorico P., Porporato A., Ridolfi L. Tree-grass coexistence in savannas: The role of spatial dynamics and climate fluctuations. Geophysical Research Letters 1999, 26(2):247-250.
48. Rosin P.L. Unimodal thresholding. Pattern Recognition 2001, 34(11):2083-2096.
49. Ross J. The radiation regime and architecture of plant stands 1981, Junk Publishers, The Hague.
50. Ryu Y., Baldocchi D.D., Kobayashi H., van Ingen C., Li J., Black T.A., et al. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales. Global Biogeochemical Cycles 2011, 25(GB4017). 10.1029/2011GB004053.
51. Ryu Y., Baldocchi D.D., Ma S., Hehn T. Interannual variability of evapotranspiration and energy exchanges over an annual grassland in California. Journal of Geophysical Research-Atmospheres 2008, 113(D09104). 10.1029/2007JD009263.
52. Ryu Y., Baldocchi D.D., Verfaillie J., Ma S., Falk M., Ruiz-Mercado I., et al. Testing the performance of a novel spectral reflectance sensor, built with light emitting diodes (LEDs), to monitor ecosystem metabolism, structure and function. Agricultural and Forest Meteorology 2010, 150(12):1597-1606.
53. Ryu Y., Nilson T., Kobayashi H., Sonnentag O., Law B.E., Baldocchi D.D. On the correct estimation of effective leaf area index: Does it reveal information on clumping effects?. Agricultural and Forest Meteorology 2010, 150(3):463-472.
54. Ryu Y., Sonnentag O., Nilson T., Vargas R., Kobayashi H., Wenk R., et al. How to quantify tree leaf area index in a heterogeneous savanna ecosystem: A multi-instrument and multi-model approach. Agricultural and Forest Meteorology 2010, 150(1):63-76.
55. Sankaran M., Ratnam J., Hanan N.P. Tree-grass coexistence in savannas revisited - Insights from an examination of assumptions and mechanisms invoked in existing models. Ecology Letters 2004, 7(6):480-490.
56. Scholes R.J., Archer S.R. Tree-grass interactions in savannas. Annual Review of Ecology and Systematics 1997, 28:517-544.
57. Scholes R.J., Frost P.G.H., Tian Y.H. Canopy structure in savannas along a moisture gradient on Kalahari sands. Global Change Biology 2004, 10(3):292-302.
58. Sea W.B., Choler P., Beringer J., Weinmann R.A., Hutley L.B., Leuning R. Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas. Agricultural and Forest Meteorology 2011, 151(11):1453-1461.
59. Sonnentag O., Detto M., Vargas R., Ryu Y., Runkle B.R., Kelly N.M., et al. Tracking the structural and functional development of a perennial pepperweed (Lepidium latifolium L.) infestation using a multi-year archive of webcam imagery and eddy covariance measurements. Agricultural and Forest Meteorology 2011, 151:916-926.
60. Sonnentag O., Hufkens K., Teshera-Sterne C., Young A.M., Friedl M., Braswell B.H., et al. Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology 2012, 152:159-177.
61. Sprintsin M., Cohen S., Maseyk K., Rotenberg E., Grunzweig J., Karnieli A., et al. Long term and seasonal courses of leaf area index in a semi-arid forest plantation. Agricultural and Forest Meteorology 2011, 151(5):565-574.
62. Tan B., Woodcock C.E., Hu J., Zhang P., Ozdogan M., Huang D., et al. The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions. Remote Sensing of Environment 2006, 105(2):98-114.
63. Vargas R., Hasselquist N., Allen E.B., Allen M.F. Effects of a hurricane disturbance on aboveground forest structure, arbuscular mycorrhizae and belowground carbon in a restored tropical forest. Ecosystems 2010, 13(1):118-128.
64. Verger A., Baret F., Weiss M. A multisensor fusion approach to improve LAI time series. Remote Sensing of Environment 2011, 115(10):2460-2470.
65. Welles J.M., Norman J.M. Instrument for indirect measurement of canopy architecture. Agronomy Journal 1991, 83(5):818-825.
66. White M.A., Beurs K.M.d, Didan K., Inouye D.W., Richardson A.D., Jensen O.P., et al. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Global Change Biology 2009, 15:1-24.
67. Xu L., Baldocchi D.D. Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California. Agricultural and Forest Meteorology 2004, 123(1-2):79-96.
68. Xu L.K., Baldocchi D.D., Tang J.W. How soil moisture, rain pulses, and growth alter the response of ecosystem respiration to temperature. Global Biogeochemical Cycles 2004, 18(GB4002). 10.1029/2004GB002281.
69. Zhang X.Y., Friedl M.A., Schaaf C.B., Strahler A.H., Hodges J.C.F., Gao F., et al. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 2003, 84(3):471-475.