Latent heat flux estimation in clear sky days over Indian agroecosystems using noontime satellite remote sensing data

Agricultural and Forest Meteorology

Volumn 149, Issue 10, 2009, Pages 1646-1665

  Mallick, Kaniska ^a   Bhattacharya, Bimal K ^a   Rao, V U M ^b   Reddy, D Raji ^c   Banerjee, Saon ^d   Venkatesh, H ^e   Pandey, Vyas ^f   Kar, Gouranga ^g   Mukherjee, Joydeep ^h   Vyas, Sarweshwar P ^a   Gadgil, Alaka S ⁱ   Patel, N K ^a  

^a Indian Space Research Organization Space Application Centre   (India)

^b CCS HARYANA AGRICULTURAL UNIVERSITY   (India)

^c ACHARYA N G RANGA AGRICULTURAL UNIVERSITY   (India)

^d BIDHAN CHANDRA KRISHI VISWAVIDYALAYA   (India)

^e Regional Agricultural Research Station   (India)

^f ANAND AGRICULTURAL UNIVERSITY   (India)

^g ICAR INDIAN INSTITUTE OF WATER MANAGEMENT   (India)

^h PUNJAB AGRICULTURAL UNIVERSITY   (India)

ⁱ UNIVERSITY OF PUNE   (India)

Author keywords

Agriculture; Energy balance; Evapotranspiration; MODIS; NOAA; Surface fluxes

Indexed keywords

AGRICULTURAL ECOSYSTEM; CANOPY; CLEAR SKY; ENERGY BALANCE; LAND SURFACE; LANDSCAPE; LATENT HEAT FLUX; MODIS; NOAA SATELLITE; REMOTE SENSING; SATELLITE DATA; SURFACE FLUX; SURFACE TEMPERATURE; TIME SERIES ANALYSIS;

ASIA; EURASIA; INDIA; SOUTH ASIA;

TRITICUM AESTIVUM;

EID: 67949083515     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2009.05.006     Document Type: Article

References (84)

1. Anderson M.C., Norman J.M., Diak G.R., Kustas W.P., and Mecikalski J.R. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sens. Environ. 60 (1997) 195-216
2. Anderson M.C., Kustas W.P., and Norman J.M. Upscaling and downscaling-a regional view of the soil-plant-atmosphere continuum. Agron. J. 95 (2004) 1408-1423
3. Anderson M.C., Norman J.M., Mecikalski J.R., Otkin J.A., and Kustas W.P. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing. 1: Model formulation. J. Geophys. Res. 112 D10117 (2007) 1-17
4. Bastiaanssen W.G.M. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. J. Hydrol. 229 (2000) 87-100
5. Bastiaanssen W.G.M., Menenti M., Feddes R.A., and Holstlag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL). 1: Formulation. J. Hydrol. 213 1-4 (1998) 198-212
6. Bastiaanssen W.G.M., Pelgrum H., Wang J., Ma Y., Moreno J.F., Roerink G.J., and van der Wal T. A remote sensing surface energy balance algorithm for land (SEBAL). 2: Validation. J. Hydrol. 212-213 (1998) 213-229
7. Batra N., Islam S., Venturini V., Bisht G., and Jiang L. Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the southern great plains. Remote Sens. Environ. 103 (2006) 1-15
8. Becker F., and Li Z.L. Towards a local split window method over land surface. Int. J. Remote Sens. 11 (1990) 369-393
9. Bhattacharya B.K., and Dadhwal V.K. Retrieval and validation of land surface temperature from NOAA AVHRR thermal images of Gujarat, India. Int. J. Remote Sens. 24 6 (2003) 1197-1206
10. Bisht G., Venturini V., Islam S., and Jiang L. Estimation of net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days. Remote Sens. Environ. 97 (2005) 52-67
11. Boegh E., Soegaard H., and Thomsen A. Evaluating evapotranspiration rates and surface conditions using Landsat TM to estimate atmospheric resistance and surface resistance. Remote Sens. Environ. 79 (2002) 329-343
12. Bolle, H.J., Streckenbach, B. (Eds.), 1993. Flux estimates from remote sensing. The Echival Field Experiment in a Desertification Threatened Area (EFEDA), final report, pp. 406-424, Berlin, August.
13. Boulet G., Chehbouni A., and Isabelle B. Mosaic versus dual source approaches for modelling the surface energy balance of a semi-arid land. Special Symposium on Hydrology. Phoenix, Arizona, 11-16 January 1998 (1998), American Meteorological Society
14. Brutsaert W., and Chen D. Diurnal variation of surface fluxes during thorough drying (or severe drought) of natural praire. Water Resour. Res. 32 (1996) 2013-2019
15. Campbell G.S., and Norman J.M. An Introduction to Environmental Biophysics (1998), Springer, New York p. 286
16. Cano D., Monget J.M., Albuisson M., Guillard R., Regas N., and Wald L. A method for the determination of the global solar radiation from meteorological satellite data. Solar Energy 37 (1986) 31-39
17. Chaurasia S., Bhattacharya B.K., Dadhwal V.K., and Parihar J.S. Field-scale leaf area index estimation using IRS-1D LISS-III data. Int. J. Remote Sens. 27 (2006) 637-644
18. Chen F., and Dudhia J. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modelling system. Part I: model implementation and sensitivity. Monthly Weather Rev. 129 (2001) 569-585
19. Choudhury B.J., Idso S.B., and Reginato R.J. Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infrared temperature based energy balance equation. Agric. For. Meteorol. 39 (1987) 283-297
20. Cleugh H.A., Leuning R., Mu Q., and Running S.W. Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens. Environ. 106 3 (2007) 285-304
21. Crago R.D. Comparison of the evaporative fraction and the Priestley-Taylor α for parameterizing daytime evaporation. Water Resour. Res. 32 5 (1996) 1403-1409
22. Crago R.D., and Brutsaert W. Conservation and variability of the evaporative fraction during the daytime. J. Hydrol. 180 (1996) 173-194
23. Csiszar I., and Gutman G. Mapping global land surface albedo from NOAA AVHRR. J. Geophys. Res. 104 D6 (1999) 6215-6228
24. Doorenbos, J., Kassam, A.H., 1979. Yield response to water. Irrigation and Drainage Paper 33, FAO, Rome.
25. Farah H.O., Bastiaanssen W.G.M., and Feddes R.A. Evaluation of the temporal variability of the evaporative fraction in a tropical watershed. Int. J. Appl. Earth Obs. Geoinf. 5 (2004) 129-140
26. Field C.B., Randerson J.T., and Malmstrom C.M. Global net primary production: combining ecology and remote sensing. Remote Sens. Environ. 51 (1995) 74-88
27. Fisher J.B., Tu K.P., and Baldocchi D.D. Global estimates of land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sens. Environ. 112 3 (2008) 901-919
28. French A.N., Jacob F., Anderson M.C., Kustas W.P., Timmermans W., Gieske A., Su Z., Su H., McCabe M.F., Li F., Prueger J., and Brunsell N. Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the IOWA 2002 SMACEX site (USA). Remote Sens. Environ. 99 (2005) 55-65
29. Gentine P., Entekhabi D., Chehbouni A., Boulet G., and Duchemin B. Analysis of evaporative fraction diurnal behaviour. Agric. For. Meteorol. 143 (2007) 13-29
30. Gleason A.C.R., Prince S.D., Goetz S.J., and Small J. Effects of orbital drift on land surface temperature measured by AVHRR thermal sensors. Remote Sens. Environ. 79 (2002) 147-165
31. Goswami B.N., Venugopal V., Sengupta D., Madhusoodanan M.S., and Xavier P.K. Increasing trend of extreme rain events over India in a warming environment. Science 314 (2006) 1442-1445
32. Granier A., Reichstein M., Bréda N., Janssens I.A., Falge E., Ciais P., et al. Evidence for soil water control on carbon and water dynamics in European forests during the extremely dry year: 2003. Agric. For. Metorol. 143 (2006) 123-145
33. Hall F.G., Heumrich K.F., Goetz S.J., Sellers P.J., and Nickenson J.E. Satellite remote sensing of surface energy balance: success, failure and unresolved issues of FIFE. J. Geophys. Res. 97 D17 (1992) 19061-19089
34. Hoedjes J.C.B., Chehbouni A., Jacob F., Ezzahar J., and Boulet G. Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco. J. Hydrol. 354 (2008) 53-64
35. Inoue Y., Watanabe T., and Kitamura K. Prototype time-domain reflectometry probes for measurement of moisture content near the soil surface for applications to "on-the-move" measurements. Agric. Water Manage. 50 1 (2001) 41-52
36. Jiang L., and Islam S. A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations. Geophys. Res. Lett. 26 (1999) 2773-2776
37. Jiang L., and Islam S. Estimation of surface evaporation map over Southern Great Plains using remote sensing data. Water Resour. Res. 37 2 (2001) 329-340
38. Kar G., and Kumar A. Surface energy fluxes and crop water stress index in groundnut under irrigated ecosystem. Agric. For. Meteorol. 146 1-2 (2007) 94-106
39. Kustas W.P., Moran M.S., Humes K.S., Stannard D.I., Pinter P.J., Hipps L.E., Swaitek E., and Goodrich D.C. Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands. Water Resour. Res. 30 5 (1994) 1241-1260
40. Leuning R., Zhang Y.Q., Rajaud A., Cleugh H., and Tu K. A simple surface conductance model to estimate regional evaporation rate using MODIS leaf area index and the Penman-Monteith equation. Water Resour. Res. 44 (2008) W10419 10.1029/2007WR006562
41. Lhomme J.P., and Elguero E. Examination of evaporative fraction diurnal behaviour using a soil-vegetation model coupled with a mixed-layer model. Hydrol. Earth Sys. Sci. 3 (1999) 259-270
42. Liang S. Narrowband to broadband conversions of land surface albedo: 1. Algorithms. Remote Sens. Environ. 76 (2000) 213-238
43. Liang S., Fang H., Chen M., Shuey C.J., Walthall C., Daughtry C., and Hunt Jr. R. Validating MODIS land surface reflectance and albedo products: methods and preliminary results. Remote Sens. Environ. 83 (2002) 149-162
44. Mallick K., Bhattacharya B.K., Chourasia S., Dutta S., Nigam R., Mukherjee J., Banerjee S., Kar G., Rao V.U.M., Gadgil A.S., and Parihar J.S. Evapotranspiration using MODIS data and limited ground observations over selected agroecosystems in India. Int. J. Remote Sens. 28 10 (2007) 2091-2110
45. Mallick, K., 2008. Characterizing moisture availability and AET using space based remote sensing techniques. Ph.D. thesis. University of Pune.
46. Moran M.S., Kustas W.P., Vidal A., Stannard D.I., Blanford J.H., and Nichols W.D. Use of ground-based remotely sensed data for surface energy balance evaluation of a semiarid rangeland. Water Resour. Res. 30 5 (1994) 1339-1350
47. Mu Q., Heinsch F.A., Zhao M., and Running S.W. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ. 111 4 (2007) 519-536
48. Myneni, R., Knyazikhin, Y., Lotsh, A., Zhang, Y., Tian, Y., Wang, Y., Privette, J.L., Morisette, J.T., Running, S.W., Nemani, R., Glassy, J., Votava, P., 1999. MODIS leaf area index (LAI), and fractional of photosynthetically active radiation absorbed by vegetation (FPAR) product. Algorithm Theoretical Basis Document, Version 4.0.
49. Nemani R.R., White M.A., Thornton P., Nishida K., Reddy S., Jenkins J., and Running S.W. Recent trends in hydrologic balance have enhanced the carbon sink in the United States. Geophys. Res. Lett. 29 10 (2002) 1468 10.1029/2002GL014867
50. Nichols W.E., and Cuenca R.H. Evaluation of the evaporative fraction for parameterization of the surface energy balance. Water Resour. Res. 29 (1993) 3681-3690
51. Nishida K., Nemani R.R., Running S.W., and Glassy J.M. An operational remote sensing algorithm for land surface evaporation. J. Geophys. Res. 108 D9 (2003) 4270
52. Norman J.M., Kustas W.P., and Humes K.S. Source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. For. Meteorol. 77 (1995) 263-293
53. Ohmura A. Objective criteria for rejecting data for bowen ratio flux calculations. J. Appl. Meteorol. 21 (1982) 595-598
54. Perez P.J., Castellvi F., Ibanez M., and Rosell J.I. Assessment of reliability of bowen ratio method for portioning fluxes. Agric. For. Meteorol. 97 (1999) 141-150
55. Priestley C.H.B., and Taylor R.J. On the assessment of the surface heat flux and evapotranspiration using large-scale parameters. Monthly Weather Rev. 100 (1972) 81-92
56. Prince S.D., Goetz S.J., Dubayah R.O., Czajkowski K.P., and Thawley M. Inference of surface and air temperature, atmospheric precipitable water and vapour pressure deficit using AVHRR satellite observations: Validation of algorithms. J. Hydrol. 212-213 (1998) 230-250
57. Purcell L.C. Soybean canopy coverage and light interception measurements using digital imagery. Crop Sci. 40 (2000) 834-837
58. Qin Z., Olmo G.D., Karnieli A., and Berliner P. Derivation of split window algorithm and its sensitivity analysis for retrieving land surface temperature from NOAA-advanced very high-resolution radiometer data. J. Geophys. Res. 106 (2001) 22655-22670
59. Rahman H., and Dedieu G. SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum. Int. J. Remote Sens. 15 (1994) 123-143
60. Rajagopal E.N. Validation of land surface parameters in NCMRWF model with LASPEX dataset. J. Appl. Meteorol. 3 1&2 (2001) 217-226
61. Raupach M.R. Combination theory and equilibrium evaporation. Quart. J. R. Met. Soc. 127 (2001) 1149-1181
62. Roerink G.J., Su Z., and Menenti M. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance. Phys. Chem. Earth 25 (2000) 147-157
63. Rosema A. Using METEOSAT for operational evapotranspiration and biomass monitoring in the Sahel region. Remote Sens. Environ. 46 (1993) 27-44
64. Sellers P.J., Hall F.G., Asrar G., Strebel D.E., and Murphy R.E. The first ISLSCP field experiment (FIFE). Bull. Am. Met. Soc. 69 (1988) 22-27
65. Shuttleworth W.J., Gurney R.J., Hsu A.Y., and Ormsby J.P. FIFE: The Variation in Energy Partition at Surface Flux Sites vol. 186 (1989), IAHS Publ. pp. 67-74
66. Sobrino J.A., Gómez M., Jiménez-Muñoz J.C., and Olioso A. Application of a simple algorithm to estimate daily evapotranspiration from NOAA-AVHRR images for the Iberian Penninsula. Remote Sens. Environ. 110 2 (2007) 139-148
67. Song J., Wesely M.L., LeMone M.L., and Grossman R.L. Estimating watershed evapotranspiration with PASS. Part II: moisture budgets during drydown periods. J. Hydrometeorol. 1 (2000) 462-473
68. Stannard D.I., Blanford J.H., Kustas W.P., Nichols W.D., Amer S.A., Schmugge T.J., and Weltz M.A. Interpretation of surface flux measurements in heterogeneous terrain during the Monsoon '90 experiment. Water Resour. Res. 30 5 (1994) 1227-1239
69. Stewart J.B., Kustas W.P., Humes K.S., Nichols W.D., Moran M.S., and de Bruin H.A.R. Sensible heat flux-radiometric surface temperature relationship for eight semiarid areas. J. Appl. Meteorol. 33 (1994) 1110-1117
70. Stisen S., Sandholt I., Nørgaard A., Fensholt R., and Jensen K.H. Combining the triangle method with thermal inertia to estimate regional evapotranspiration-applied to MSG-SEVIRI data in the Senegal River basin. Remote Sens. Environ. 112 (2008) 1242-1255
71. Susaki J., Yasouka Y., Kajiwara K., Honda Y., and Hara K. Validation of MODIS albedo products of paddy field in Japan. IEEE Trans. Geosci. Remote Sens. 45 1 (2007) 206-217
72. Tasumi M., Allen R.G., Trezza R., and Wright J.L. Satellite-based energy balance to assess within-population variance of crop coefficient curves. J. Irrig. Drainage Eng. 131 1 (2005) 94-109
73. Tatem A.J., Goetz S.J., and Hay S.I. Terra and AQUA: new data for epidemiology and public health. Int. J. Appl. Earth Obs. Geoinf. 6 (2004) 36-44
74. Timmermans W.J., Kustas W.P., Anderson M.C., and French A.N. An intercomparison of the surface energy balance algorithm for land (SEBAL) and the two-source energy balance (TSEB) modeling schemes. Remote Sens. Environ. 108 (2007) 369-384
75. Valiente J., Nunez M., Lopez-Baeza E., and Mereno J.F. Narrow-band to broad-band conversion for Meteosat visible channel and broad-band albedo using both AVHRR-1 and -2 channels. Int. J. Remote Sens. 16 6 (1995) 1147-1166
76. Van de Griend A.A., and Owe M. On the relationship between thermal emissivity and normalized difference vegetation index for natural surfaces. Int. J. Remote Sens. 14 (1993) 1119-1131
77. Venturini V., Islam S., and Rodriguez L. Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model. Remote Sens. Environ. 112 (2008) 132-141
78. Vernekar K.G., Sinha S., Sadani L.K., Sivaramakrishnan S., Paranis S.S., Mohan B., Dharmaraj S., Patil M.N., Pillai J.S., Murthy B.S., Debaie S.B., and Bagavathsingh A. An overview of the land surface processes experiment (Laspex) over semi-arid region of India. Boundary Layer Met. 106 3 (2003) 561-572
79. Verstraeten W.W., Veroustraete F., and Feyen J. Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sens. Environ. 96 (2005) 256-276
80. Wan Z., Zhang Y., Zhang Q., and Li Z.L. Validation of the land surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data. Remote Sens. Environ. 83 (2002) 163-180
81. Wang K., Li Z., and Cribb M. Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley-Taylor parameter. Remote Sens. Environ. 102 3-4 (2006) 293-305
82. Wang W., Liang S., and Meyers T. Validating MODIS land surface temperature products using long-term nighttime ground measurements. Remote Sens. Environ. 112 3 (2008) 623-635
83. Zhang L., and Lemeur R. Evaluation of daily evapotranspiration estimates from instantaneous measurements. Agric. Forest Meteorol. 74 (1995) 139-154
84. Zhang Y., Liu C., Lei Y., Tang Y., Yu Q., Shen Y., and Sun H. An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration. Int. J. Remote Sens. 27 1 (2006) 129-152