Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery

Remote Sensing of Environment

Volumn 114, Issue 2, 2010, Pages 286-298

  Suarez L ^a   Zarco Tejada, P J ^a   Gonzalez Dugo V ^a   Berni, J A J ^a   Sagardoy, R ^b   Morales, F ^b   Fereres, E ^a,c  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^b CSIC   (Spain)

^c UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

EPS; Fruit quality; Multispectral remote sensing; Photochemical Reflectance Index (PRI); Thermal; TSS TA; Water stress

Indexed keywords

A-COEFFICIENT; AIRBORNE IMAGERY; CANOPY LEVEL; DESTRUCTIVE SAMPLING; EPOXIDATION STATE; FRUIT GROWTH; FRUIT QUALITY; FRUIT SIZE; FRUIT TREES; HIGH SPATIAL RESOLUTION; HIGH VARIABILITY; INDIVIDUAL TREE; IRRIGATION REGIMES; MODELLING STUDIES; MULTI-SPECTRAL; MULTISPECTRAL REMOTE SENSING; PHOTOCHEMICAL REFLECTANCE INDEX; REGULATED DEFICIT IRRIGATION; SPATIAL RESOLUTION IMAGERY; STUDY SITES; THERMAL IMAGERY; TOTAL SOLUBLE SOLIDS; WATER POTENTIAL; WATER STATUS; WATER STRESS; WATER STRESS EFFECTS;

FORESTRY; HARVESTING; IMAGE RESOLUTION; IRRIGATION; ORCHARDS; PHOTOSYNTHESIS; PLANTS (BOTANY); REFLECTION; REMOTE SENSING;

FRUITS;

ACIDITY; AIRBORNE SENSING; FRUIT PRODUCTION; IRRIGATION SYSTEM; MULTISPECTRAL IMAGE; ORCHARD; PHOTOCHEMISTRY; PHOTOSYNTHESIS; PIGMENT; PLANT WATER RELATIONS; RADIATIVE TRANSFER; REFLECTANCE; REMOTE SENSING; SPATIAL RESOLUTION; TRANSPIRATION; WATER STRESS;

FORESTRY; FRUITS; HARVESTING; IRRIGATION; ORCHARDS; PHOTOSYNTHESIS; PLANTS; QUALITY; REFLECTION; REMOTE SENSING; STRESSES; WATER;

PRUNUS PERSICA; PRUNUS PERSICA NUCIPERSICA;

EID: 71349088000     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.09.006     Document Type: Article

References (67)

1. Abadía A., and Abadía J. Iron and plant pigments. In: Barton L.L., and Hemming B.C. (Eds). Iron chelation in plants and soil microorganisms (1993), Academic, San Diego 327-344
2. Asner G.P., Carlson K.M., and Martin R.E. Substrate age and precipitation effects on Hawaiian forest canopies from spaceborne imaging spectroscopy. Remote Sensing of Environment 98 (2005) 457-467
3. Asrar G., Kanemasu E.T., Jackson R.D., and Pinter J.R. Estimation of total above-ground phytomass production using remotely sensed data. Remote Sensing of Environment 17 (1985) 211-220
4. Baeza P., Sánchez-de-Miguel P., Centeno A., Junquera P., Linares R., and Lissarrague J.R. Water relations between leaf water potential, photosynthesis and agronomic vine response as a tool for establishing thresholds in irrigation scheduling. Scientia Horticulturae 114 (2007) 151-158
5. Baret F., and Guyot G. Potentials and limits of vegetation indices for LAI and PAR assessment. Remote Sensing of Environment 35 (1991) 161-173
6. Barton C.V.M., and North P.R.J. Remote sensing of canopy light use efficiency using the photochemical reflectance index. Model and analysis. Remote Sensing of Environment 78 264 (2001) 273
7. Berni J.A.J., Zarco-Tejada P.J., Suarez L., and Fereres E. Thermal and narrow-band multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing 47 (2009) 722-738
8. Chalmers D.J., Mitchell P.D., and Van Heek L. Control of peach tree growth and productivity by regulated water supply, tree density and summer pruning. Journal of the American Society of Horticultural Sciences 106 (1981) 307-312
9. Cohen Y., Alchanatis V., Meron M., Saranga Y., and Tsipris J. Estimation of leaf potential by thermal imagery and spatial analysis. Journal of Experimental Botany 56 (2005) 1843-1852
10. Crisosto C.H., Crisosto G.M., Echeverria G., and Puy J. Segregation of peach and nectarine (Prunus persica (L.) Batsch) cultivars according to their organoleptic characteristics. Postharvest Biology and Technology 39 (2006) 10-18
11. Crisosto C.H., Johnson R.S., Luza J.G., and Crisosto G.M. Irrigation regimes affect fruit soluble solids concentration and rate of water loss of 'O'Henry' peaches. Horticultural Sciences 29 (1994) 1169-1171
12. Dobrowsky S.Z., Pushnik J.C., Zarco-Tejada P.J., and Ustin S.L. Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale. Remote Sensing of Environment 97 (2005) 403-414
13. Drolet G.G., Huemmrich K.F., Hall F.G., Middleton E.M., Black T.A., Barr A.G., and Margolis H.A. A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest. Remote Sensing of Environment 98 (2005) 212-224
14. Evain S., Flexas J., and Moya I. A new instrument for passive remote sensing: 2. Measurement of leaf and canopy reflectance changes at 531 nm and their relationship with photosynthesis and chlorophyll fluorescence. Remote Sensing of Environment 91 (2004) 175-185
15. Fereres E., and Soriano M. Deficit irrigation for reducing agricultural water use. Journal of Experimental Botany 58 (2007) 147-159
16. Filella I., Amaro T., Araus J.L., and Peñuelas J. Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI). Physiologia Plantarum 96 (1996) 211-216
17. Fuentes D.A., Gamon J.A., Cheng Y., Claudio H.C., Qiu H.L., Mao Z., Sims D.A., Rahman A.F., Oechel W., and Luo H. Mapping carbon and water vapour fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS. Remote Sensing of Environment 103 (2006) 312-323
18. Gamon J.A., Peñuelas J., and Field C.B. A narrow-wave band spectral index that track diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41 (1992) 35-44
19. Gamon J.A., Serrano L., and Surfus J.S. The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112 (1997) 492-501
20. Gelly M., Recasens I., Mata M., Arbones A., Rufat J., Girona J., and Marsal J. Effects of water deficit during stage II of peach fruit development and postharvest on fruit quality and ethylene production. Journal of Horticultural Science & Biotechnology 78 (2003) 324-330
21. Génard M., and Huguet J.G. Modeling the response of peach fruit growth to water stress. Tree Physiology 16 (1996) 407-415
22. Gillabert M.A., González-Piqueras J., García-Haro F.J., and Meliá J. A generalized soil-adjusted vegetation index. (2002). Remote Sensing of Environment 82 (2002) 303-310
23. Ginestar C., and Castel J.R. Response of young 'Clementine' citrus trees to water stress during different phonological periods. Journal of Horticultural Science 71 4 (1996) 551-559
24. Girona J. Regulated deficit irrigation in peach. A global analysis. Acta Horticulturae 592 (2002) 335-342
25. Girona J., Mata M., Arbonès A., Alegre S., Rufat J., and Marsal J. Peach tree response to single and combined regulated deficit irrigation regimes under swallow soils. Journal of the American Society of Horticultural Sciences 128 (2003) 432-440
26. González-Altozano P., and Castel J.R. Regulated déficit irrigation in "Clementina de Nules" citrus tree. I. Yield and fruit quality effects. Journal of Horticultural Science and Biotechnology 74 (1999) 706-713
27. Guardiola J.L., and García-Luis A. Increasing fruit size in citrus. Thinning and stimulation of fruit growth. Plant Growth Regulation 31 (2000) 121-132
28. Guo J., and Trotter C.M. Estimating photosynthetic light-use efficiency using the photochemical reflectance index: Variations among species. Functional Plant Biology 31 (2004) 255-565
29. 2 Enrichment (FACE) site. Functional Plant Biology 33 (2006) 1045-1053
30. Haboudane D., Miller J.R., Tremblay N., Zarco-Tejada P.J., and Dextraze L. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment 84 (2002) 416-426
31. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25 (1988) 295-309
32. Idso S.B. Humidity measurement by Infrared Thermometry. (1982). Remote Sensing of Environment 12 (1982) 87-91
33. Idso S.B. Non-water-stressed baselines: A key to measuring and interpreting plant water stress. Agricultural Meteorology 27 (1982) 59-70
34. Idso S.B., Jackson R.D., Pinter P.J., Reginato R.J., and Hatfield J.L. Normalizing the stress-degree-day parameter for environmental variability. Agricultural and Forest Meteorology 24 (1981) 45-55
35. Jackson R.D., Idso S.B., Reginato R.J., and Ehrier W.L. Crop temperature reveals stress. Crop Soils 29 (1977) 10-13
36. Jackson R.D., Idso S.B., Reginato R.J., and Pinter Jr. P.J. Canopy temperature as a crop water stress indicator. Water Resources Research 17 (1981) 1133-1138
37. Jackson R.D., Slater P.N., and Pinter Jr. P.J. Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote Sensing of Environment 13 (1983) 187-208
38. Jacquemoud S., and Baret F. PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment 34 (1990) 75-91
39. Johnson L.F., Bosch D.F., Williams D.C., and Lobitz B.M. Remote sensing of vineyard management zones: Implications for wine quality. Applied Engineering in Agriculture 17 (2001) 557-560
40. Johnson L.F., Roczen D.E., Youkhana S.K., Nemani R.R., and Bosch D.F. Mapping vineyard leaf area with multispectral satellite imagery. Computers and Electronics in Agriculture 38 (2003) 33-44
41. Kriston-Vizi J., Umeda M., and Miyamoto K. Assessment of the water stress status of mandarin and peach canopies using visible multispectral imagery. Biosystems Engineering 100 (2008) 338-345
42. Lamb D.W., Weedom M.M., and Ramley R.G.V. Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: Timing observations against vine phenology and optimising image resolution. Australian Journal of Grape and Wine Research 10 (2004) 46-54
43. Larbi A., Abadía A., Morales F., and Abadía J. Fe resupply to Fe-deficient sugar beet plants leads to rapid changes in the violaxanthin cycle and other photosynthetic characteristics without significant de novo chlorophyll synthesis. Photosynthesis Research 79 (2004) 59-69
44. Leinonen I., and Jones H.G. Combining thermal and visible imagery for stimulating canopy temperature and identifying plant stress. Journal of Experimental Botany 55 (2004) 1423-1431
45. Marsal J., and Girona J. Relationship between leaf water potential and gas exchange activity at different phonological stages and fruit loads in peach trees. Journal of the American Society of Horticultural Sciences 122 (1997) 415-421
46. Mills T.M., Behboudian M.H., and Tan P.Y. Plant water status and fruit quality in "Braeburn" apples. Horticultural Science 29 (1994) 1274-1278
47. Myers B.J. Water stress integral - A link between short-term stress and long-term growth. Tree Physiology 4 (1988) 315-323
48. Nakaji T., Oguma H., and Fujinuma Y. Seasonal changes in the relationship between photochemical reflectance index and photosynthetic light use efficiency of Japanese larch needles. International Journal of Remote Sensing 27 (2006) 493-509
49. Nichol C.J., Huemmrich K.F., Black T.A., Jarvis P.G., Walthall J.G., and Hall F.G. Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agricultural and Forest Meteorology 101 (2000) 131-142
50. Nichol C.J., Lloyd J., Shibistova O., Arneth A., Röser C., Knohl A., Matsubara S., and Grace J. Remote sensing of photosynthetic-light-use-efficiency of a Siberian boreal forest. Tellus 54B (2002) 677-687
51. Nichol C.J., Rascher U., Matsubara S., and Osmond B. Assessing photosynthetic efficiency in an experimental mangrove canopy using remote sensing and chlorophyll fluorescence. Trees 20 (2006) 9-15
52. North P.R.J. Three-dimensional forest light interaction model using a Montecarlo method. IEEE Transactions on Geosciences and Remote Sensing 34 (1996) 946-956
53. Peguero-Pina J.J., Morales F., Flexas J., Gil-Pelegrín E., and Moya I. Photochemistry, remotely sensed physiological reflectance index and de-epoxidation state of xanthophyll cycle in Quercus coccifera under intense drought. Oecologia 156 (2008) 1-11
54. Qi J., Chehbouni A., Huete A.R., Kerr Y.H., and Sorooshian S. A modified soil adjusted vegetation index (MSAVI). Remote Sensing of Environment 48 (1994) 119-126
55. Rondeaux G., Steven M., and Baret F. Optimization of soil-adjusted vegetation indices. Remote Sensing of Environment 55 (1996) 95-107
56. Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W. & Harlan, J.C. (1974). Monitoring the vernal advancements and retrogradation of natural vegetation. in Nasa/Gsfc Final Report (ed. MD, U.G.) p. 371.
57. Sepulcre-Cantó G., Zarco-Tejada P.J., Jiménez-Muñoz J.C., Sobrino J.A., Soriano M.A., Fereres E., Vega V., and Pastor M. Monitoring yield and fruit quality parameters in open-canopy tree crops under water stress. Implications for ASTER. Remote Sensing of Environment 107 (2007) 455-470
58. Sepulcre-Cantó G., Zarco-Tejada P.J., Sobrino J.A., Berni J.A.J., Jiménez Muñoz J.C., and Gastellu-Etchegorry J.P. Detecting water status in open canopies with thermal ASTER imagery and DART radiative transfer simulation. Agricultural and Forest Meteorology 149 (2009) 962-975
59. Serrano L., and Peñuelas J. Assessing forest structure and function from spectral transmittance measurements: A case study in a Mediterranean Holm oak forest. Tree Physiology 25 (2005) 67-74
60. 2 exchange in response to drought in a Southern California chaparral ecosystem. Remote Sensing of Environment 103 (2006) 289-303
61. Strachan I.B., Pattey E., and Boisvert J.B. Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sensing of Environment 80 (2002) 213-224
62. Suárez L., Zarco-Tejada P.J., Berni J.A.J., González-Dugo V., and Fereres E. Modelling PRI for water stress detection using radiative transfer models. Remote Sensing of Environment 113 (2009) 730-744
63. Suárez L., Zarco-Tejada P.J., Sepulcre-Cantó G., Pérez-Priego O., Miller J.R., Jiménez-Muñoz J.C., and Sobrino J. Assessing canopy PRI for water stress detection with diurnal airborne imagery. Remote Sensing of Environment 112 (2008) 560-575
64. Thayer S.S., and Björkman O. Leaf xanthophyll content and composition in sun and shade determined by HPLC. Photosynthesis Research 23 (1990) 331-343
65. Thenot F., Méthy M., and Winkel T. The Photochemical Reflectance Index (PRI) as a water-stress index. International Journal of Remote Sensing 23 (2002) 5135-5139
66. Trotter G.M., Whitehead D., and Pinkney E.J. The photochemical reflectance index as a measure of photosynthetic light use efficiency for plants with varying foliar nitrogen contents. International Journal of Remote Sensing 23 (2002) 1207-1212
67. Veihmeyer F.J. Some factors affecting the irrigation requirements of deciduous orchards. Hilgardia 2 (1927) 125-284