Ground-based Network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes

Remote Sensing of Environment

Volumn 123, Issue , 2012, Pages 234-245

  Soudani, K ^a   Hmimina, G ^a   Delpierre, N ^a   Pontailler, J Y ^a   Aubinet, M ^b   Bonal, D ^c,e   Caquet, B ^d   de Grandcourt, A ^d   Burban, B ^e   Flechard, C ^f   Guyon, D ^g   Granier, A ^c   Gross, P ^c   Heinesh, B ^b   Longdoz, B ^c   Loustau, D ^g   Moureaux, C ^b   Ourcival, J M ^h   Rambal, S ^h   Saint Andre L ⁱ   Dufrene E ^a   more..

^a UNIVERSITÉ PARIS SACLAY   (France)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c LERFoB   (France)

^d CIRAD   (France)

^e Campus Agronomique   (France)

^f AGROCAMPUS OUEST   (France)

^g BORDEAUX SCIENCES AGRO   (France)

^h CENTRE D ECOLOGIE FONCTIONNELLE ET EVOLUTIVE   (France)

ⁱ Centre INRA de Nancy   (France)

Author keywords

Crops; Evergreen and deciduous forests; Ground based NDVI; Herbaceous savanna; NDVI time series; Phenology; Tropical rain forest

Indexed keywords

DECIDUOUS FOREST; GROUND BASED; HERBACEOUS SAVANNA; NDVI TIME-SERIES; PHENOLOGY; TROPICAL RAIN FOREST;

BIOLOGY; CLIMATOLOGY; CROPS; DYNAMICS; ECOSYSTEMS; PHENOLS; RAIN; REMOTE SENSING; VEGETATION;

FORESTRY;

BIOME; CLIMATE CHANGE; CLIMATE CONDITIONS; ECOLOGICAL MODELING; FLOWERING; FOREST ECOSYSTEM; HERB; MEASUREMENT METHOD; NDVI; PHENOLOGY; REFLECTANCE; REMOTE SENSING; SATELLITE DATA; SAVANNA; SENESCENCE; TEMPERATURE EFFECT; TEMPORAL ANALYSIS; TIME SERIES; VEGETATION COVER; VEGETATION STRUCTURE; WATER AVAILABILITY;

BIOMASS; ECOSYSTEMS; FOREST CANOPY; PHENOLOGY; PLANTS; RAIN; REMOTE SENSING; SEASONAL VARIATION; TIME SERIES ANALYSIS; WATER;

BELGIUM; CONGO; FRENCH GUIANA;

EID: 84859931090     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.03.012     Document Type: Article

References (78)

1. Adamsen F.G., Pinter P.J., Barnes E.M., LaMorte R.L., Wall G.W., Leavitt S.W., et al. Measuring wheat senescence with a digital camera. Crop Science 1999, 39:719-724.
2. Ahrends H.E., Brügger R., Schenk J., Michna P., Jeanneret F., Wanner H., et al. Qualitative phenological observations of a mixed beech forest in northern Switzerland with digital photography. Journal of Geophysical Research 2008, 113:G04004.
3. Aubinet M., Heinesch B., Longdoz B. Estimation of the carbon sequestration by a heterogeneous forest: Night flux corrections, heterogeneity of the site and inter-annual variability. Global Change Biology 2002, 8:1053-1071.
4. Aubinet M., Moureaux C., Bodson B., Dufranne D., Heinesch B., Suleau M., et al. Carbon sequestration by a crop during a four year sugar beet/winter wheat/potato/winter wheat rotation cycle. Agricultural and Forest Meteorology 2009, 149:407-418.
5. Balzarolo M., Anderson K., Nichol C., Rossini M., Vescovo L., Arriga N., et al. Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies. Sensors 2011, 11:7954-7981.
6. Bégué A. Leaf area index, intercepted photosynthetically active radiation, and spectral vegetation indices: A sensitivity analysis for regular-clumped canopies. Remote Sensing of Environment 1993, 46:45-59.
7. Bequet R., Campioli M., Kint V., Vansteenkiste D., Muys B., Ceulemans R. Leaf area index development in temperate oak and beech forests is driven by stand characteristics and weather conditions. Trees - Structure and Function 2011, 25:935-946.
8. Blackburn G.A., Milton E.J. Seasonal variations in the spectral reflectance of deciduous tree canopies. International Journal of Remote Sensing 1995, 16:709-720.
9. Bonal D., Bosc A., Ponton S., Goret J.Y., Burban B., Gros P., et al. Impact of severe dry season on net ecosystem exchange in the neotropical rainforest of French Guiana. Global Change Biology 2008, 14:1917-1933.
10. Breda N., Granier A., Aussenac G. Effects of thinning on soil and tree water relations, transpiration and growth in an oak forest (Quercus petraea (Matt.)) (Liebl.). Tree Physiology 1995, 15:295-306.
11. Broge N.H., Mortensen J.V. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data. Remote Sensing of Environment 2002, 81:45-57.
12. Castaldi S., de Grandcourt A., Rasile A., Skiba U., Valentini R. Fluxes of CO2, CH4 and N2O from soil of burned grassland savannah of central Africa. Biogeosciences Discussions 2010, 7:4089-4126.
13. Chave J., Navarrete D., Alvarez A.A.E., Aragao L.E.O.C., Bonal D., Chatelet P., et al. Regional and temporal patterns of litterfall in tropical South America. Biogeosciences Discussions 2010, 7:43-55.
14. Crucifix M., Betts R.A., Cox P.M. Vegetation and climate variability: A GCM modelling study. Climate Dynamics 2005, 24:457-467.
15. Delpierre N., Dufrêne E., Soudani K., Ulrich E., Cecchini S., Boé J., et al. Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. Agricultural and Forest Meteorology 2009, 149:938-948.
16. Delpierre N., Soudani K., François F., Köstner B., Pontailler J.Y., Aubinet M., et al. Exceptional carbon uptake in European forests during the warm spring of 2007: A data-model analysis. Global Change Biology 2009, 15:1455-1474.
17. Delzon S., Loustau D. Age-related decline in stand water use: Sap flow and transpiration in a pine forest chronosequence. Agricultural and Forest Meteorology 2005, 129:105-119.
18. Dufranne D., Moureaux C., Vancutsem F., Bodson B., Aubinet M. Comparison of carbon fluxes, growth and productivity of a winter wheat crop in three contrasting growing seasons. Agriculture, Ecosystems & Environment 2011, 141:133-142.
19. Duursma R.A., Kolari P., Perämäki M., Pulkkinen M., Mäkelä A., Nikinmaa E., et al. Contributions of climate, canopy structure, and leaf physiology to the variation in GPP of coniferous forests across Europe: A model-based analysis. Tree Physiology 2009, 29:621-639.
20. Fang H., Liang S. Retrieving leaf area index with a neural network method: Simulation and validation. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:2052-2062.
21. Fisher J.I., Mustard J.F., Vadeboncoeur M.A. Green leaf phenology at Landsat resolution: Scaling from the field to the satellite. Remote Sensing of Environment 2006, 100:265-279.
22. Funch L.S., Funch R., Graziela G.M. Phenology of gallery and Montane Forest in the Chapada Diamantina, Bahia, Brazil. Biotropica 2002, 34:40-50.
23. Gamon J.A., Cheng Y., Claudio H., MacKinney L., Sims D.A. A mobile tram system for systematic sampling of ecosystem optical properties. Remote Sensing of Environment 2006, 103:246-254.
24. Gamon J.A., Rahman A.F., Dungan J.L., Schildhauer M., Huemmrich K.F. Spectral Network (SpecNet): What is it and why do we need it?. Remote Sensing of Environment 2006, 103:227-235.
25. Gond V., De Pury D.G., Veroustraete F., Ceulemans R. Seasonal changes in leaf area index, leaf chlorophyll and water content; scaling-up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. Tree Physiology 1999, 19:673-679.
26. Granier A., Ceschia E., Damesin C., Dufrêne E., Epron D., Gross P., et al. The carbon balance of a young Beech forest. Functional Ecology 2000, 14:312-325.
27. Hird J., McDermid G.J. Noise reduction of NDVI time-series: An empirical comparison of selected techniques. Remote Sensing of Environment 2009, 113:248-258.
28. Huemmrich K.F., Black T.A., Jarvis P.G., McCaughey J.H., Hall F.G. High temporal resolution NDVI phenology from micrometeorological radiation sensors. Journal of Geophysical Research 1999, 104:935-944.
29. Huete A.R., Didan K., Shimabukuro Y.E., Ratana P., Saleska S.R., Hutyra L.R., et al. Amazon rainforests green-up with sunlight in dry season. Geophysical Research Letters 2006, 33:L06405. 10.1029/2005GL025583.
30. Huete A.R., Saleska S.R. Remote sensing of tropical forest phenology: Issues and controversies international archives of the photogrammetry. Remote sensing and spatial information science 2010, Volume XXXVIII. Part 8, Kyoto Japan 2010.
31. Kodani E., Awaya Y., Tanaka K., Matsumara N. Seasonal patterns of canopy structure, biochemistry and spectral reflectance in a broad-leaved deciduous Fagus crenata canopy. Forest Ecology and Management 2002, 167:233-249.
32. Koptur S., Haber W.A., Frankie G.W., Baker H.G. Phenological studies on shruband treelet species in tropical cloud forests of CostaRica. Journal of Tropical Ecology 1988, 4:323-346.
33. Kramer K., Leinonen I., Loustau D. The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: An overview. International Journal of Biometeorology 2000, 44:67-75.
34. Laclau J.-P., Sama-Poumba W., de Dieu Nzila J., Bouillet J.-P., Ranger J. Biomass and nutrient dynamics in a littoral savanna subjected to annual fires in Congo. Acta Oecologica 2002, 23:41-50.
35. La Mantia T., Cullotta S., Garfi G. Phenology and growth of Quercus ilex (L) in different environmental conditions in Sicily (Italy). Ecologia mediterranea 2003, 29:15-25.
36. Lebourgeois F., Differt J., Granier A., Bréda N., Ulrich E. Premières observations phénologiques des peuplements du réseau national de suivi à long terme des écosystèmes forestiers (RENECOFOR). Revue Forestière Française 2002, 54:407-418.
37. Lebourgeois F., Pierrat J.C., Perez V., Piedallu C., Cecchini S., Ulrich E. Simulating phenological shifts in French temperate forests under two climatic change scenarios and four driving global circulation models. International Journal of Biometeorology 2010, 54:563-581.
38. Limousin J.M., Rambal S., Ourcival J.M., Joffre R. Modelling rainfall interception in a Mediterranean Quercus ilex ecosystem: Lesson from a throughfall exclusion experiment. Journal of Hydrology 2008, 357:57-66.
39. Loubry D. 1994. Déterminisme du comportement phénologique des arbres en forêt tropicale humide de Guyane française, PhD Thesis, Université Paris VI, France.
40. Loustau D., Cochard H. Utilisation d'une chambre de transpiration portable pour l'estimation de l'évapotranspiration d'un sous-bois de pin maritime à molinie (Molinia coerulea L Moench). Annals of Forest Sciences 1991, 48:29-45.
41. Luterbacher J., Liniger M.A., Menzel A., Estrella N., Della-Marta P.M., Pfister C., et al. Exceptional European warmth of Autumn 2006 and Winter 2007: Historical context, the underlying dynamics, and its phenological impacts. Geophysical Research Letters 2007, 34:L12704. 2007.
42. Medeiros D.P.W., Lopes A., Zickel C.S. Phenology of woody species in tropical coastal vegetation, northeastern Brazil. Flora 2007, 202:513-520.
43. Menzel A. Phenology: Its importance to the global change community. Climatic Change 2002, 54:379-385.
44. Merbold L., Ardo J., Arneth A., Scholes R.J., Nouvellon Y., de Grandcourt A., et al. Precipitation as driver of carbon fluxes in 11 African ecosystems. Biogeosciences 2009, 6:1027-1041.
45. Miller J.R., White H.P., Chen J.M., McDermid G., Peddle D., Fournier R., et al. Seasonal change in understory reflectance for boreal forests and influence on canopy vegetation indices. Journal of Geophysical Research 1997, 102(D24):29,475-482.
46. Misson L., Degueldre D., Collin C., Rodriguez R., Rocheteau A., Ourcival J.M., et al. Phenological responses to extreme droughts in a Mediterranean forest. Global Change Biology 2011, 17:1036-1048.
47. Morellato L.P.C., Talora D.C., Takahashi A., Bencke C.C., Zipparo V.B. Phenology of Atlantic rain forest trees: A comparative study. Biotropica 2000, 32:811-823.
48. Nagler P.L., Daughtry C.S.T., Goward S.N. Plant litter and soil reflectance. Remote Sensing of Environment 2000, 71:207-215.
49. Nishida K. Phenological Eyes Network (PEN)-A validation network for remote sensing of the terrestrial ecosystems. AsiaFlux Newsletter Issue 2007, 21:9-13. (available online at http://www.asiaflux.net/newsletter.html).
50. Pontailler J.Y., Genty B. A simple red: Far-red sensor using gallium arsenide phosphide detectors. Functional Ecology 1996, 10:535-540.
51. Pontailler J.Y., Hymus G.J., Drake B.G. Estimation of leaf area index using ground-based remote sensed NDVI measurements: Validation and comparison with two indirect techniques. Canadian Journal of Remote Sensing 2003, 26:381-387.
52. 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, 19:1417-1428.
53. Richardson A.D., Jenkins J., Braswell B., Hollinger D., Ollinger S., Smith M.L. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 2007, 152:323-334.
54. Rouse J.W., Haas R.H. Monitoring vegetation systems in the great plain with ERTS. Third ERTS Symposium 1973, Vol. 1:309-317. NASA, Washington, DC.
55. Rutishauser T., Luterbacher J., Defila C., Frank D., Wanner H. Swiss Spring Plant Phenology 2007: Extremes, a multi-century perspective and changes in temperature sensitivity. Geophysical Research Letters 2008, 35. L05703-2007.
56. 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, 150:1597-1606.
57. Sakai S. Phenological diversity of tropical forests. Population Ecology 2001, 43:77-86.
58. Saleska S.R., Didan K., Huete A.R., da Rocha H.R. Amazon forests green-up during 2005 drought. Science 2007, 10.1126/science.1146663.
59. Samanta A., Ganguly S., Hashimoto H., Devadiga S., Vermote E., Knyazikhin Y., et al. Amazon forests did not green-up during the 2005 drought. Geophysical Research Letters 2010, 37:L05401. 10.1029/2009GL042154.
60. Sánchez-Azofeifa A., Rivard B., Wright J., Feng J.L., Li P., Chong M.M., et al. Estimation of the distribution of Tabebuia guayacan (Bignoniaceae) using high-resolution remote sensing imagery. Sensors 2011, 11:3831-3851.
61. Schaber J., Badeck F.W. Physiology-based phenology models for forest tree species in Germany. International Journal of Biometeorology 2003, 47:193-201.
62. Schaber J., Badeck F.W. Plant phenology in Germany over the 20th century. Regional Environmental Change 2005, 5:37-46.
63. Schwartz M.D., Reed B.R., White M.A. Assessing satellite-derived start-of-season measures in the conterminous USA. International Journal of Climatology 2002, 22:1793-1805.
64. Siljamo P., Sofiev M., Ranta H., Linkosalo T., Kubin E., Ahas R., et al. Representativeness of point-wise phenological Betula data collected in different parts of Europe. Global Ecology and Biogeography 2008, 17:489-502.
65. Soubdhan T., Emilion R., Calif R. Classification of daily solar radiation distributions using a mixture of Dirichlet distributions. Solar energy 2009, 83:1056-1063.
66. Soudani K., François C., le Maire G., Le Dantec V., Dufrêne E. Comparative analysis of Ikonos, SPOT and ETM+ data for Leaf Area Index estimation in temperate coniferous and deciduous forest stands. Remote Sensing of Environment 2006, 102:161-175.
67. Soudani K., le Maire G., Dufrêne E., François C., Delpierre N., Ulrich E., et al. Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Remote Sensing of Environment 2008, 112:2643-2655.
68. Stylinski C.S., Gamon J.G., Oechel W.O. Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 2002, 131:366-374.
69. 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 2003, 88:256-270.
70. Van Leeuwen W.J.D., Huete A.R. Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices. Remote Sensing of Environment 1996, 55:123-138.
71. Verbesselt J., Hyndman R., Zeileis A., Culvenor D. Phenological change detection while accounting for abrupt and gradual trends in satellite image time-series. Remote Sensing of Environment 2010, 114:2970-2980.
72. Wang Q., Tenhunen J., Dinh N.Q., Reichstein M., Vesala T., Keronen P. Similarities in ground- and satellite-based NDVI time-series and their relationship to physiological activity of a Scots pine forest in Finland. Remote Sensing of Environment 2004, 93:225-237.
73. Wingate L., Richardson A.D., Weltzin J.F., Nasahara K.N., Grace J. Keeping an eye on the carbon balance: Linking canopy development and net ecosystem exchange using a webcam. FluxLetter 2008, 1(2):14-17.
74. Xiao X.M., Hagen S., Zhang Q.Y., Keller M., Moore B. Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images. Remote Sensing of Environment 2006, 103:65-473.
75. Yauschew-Raguenes N., Guyon D., Kruszewski A., Hagolle O., Wigneron J.P. Discrimination of the respective contributions of understory and tree canopy to the seasonal dynamics of reflectance of the maritime pine forest in the Southwest of France, IGARSS'08, Boston, Massachusetts, USA, 6-11 July 2008. IEEE International Geoscience and Remote Sensing Symposium 2008, Vol3. III-808 - III-811, 101109/IGARSS20084779472.
76. Zhang X., Friedl M.A., Schaaf C.B. Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements. Journal of Geophysical Research 2006, 111:G04017. 10.1029/2006JG000217.
77. Zhang X., 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, 84:471-475.
78. Zhang X., Friedl M.A., Schaaf C.B., Strahler A.H., Zhong L. Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments. Journal of Geophysical Research 2005, 10. 10.1029/2004JD005263.