Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images

Remote Sensing of Environment

Volumn 112, Issue 10, 2008, Pages 3916-3934

  Vicente Serrano, Sergio M ^a   Pérez Cabello, Fernando ^b   Lasanta, Teodoro ^a  

^a INSTITUTO PIRENAICO DE ECOLOGÍA   (Spain)

^b UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Atmospheric correction; Ebro Valley; Landsat time series; Relative normalization; Spain; TM ETM+ cross calibration; Vegetation change

Indexed keywords

ASTROPHYSICS; ATMOSPHERICS; CALIBRATION; CHLORINE COMPOUNDS; IMAGE ENHANCEMENT; NEON; RADIATIVE TRANSFER; REMOTE SENSING; SATELLITES; SENSORS; SPACE OPTICS; TIME SERIES ANALYSIS; VEGETATION;

ATMOSPHERIC CORRECTION; AUTOMATIC PROCEDURES; CASE STUDIES; CROSS-CALIBRATION; DATA-SETS; EBRO VALLEY; FIELD MEASUREMENTS; GRADUAL CHANGES; LAMBERTIAN; LANDSAT DATA; LANDSAT IMAGES; LANDSAT SENSORS; LANDSAT TIME SERIES; MULTI-TEMPORAL; RADIATIVE TRANSFER MODELING; RADIOMETRIC CORRECTION TECHNIQUES; RADIOMETRIC NORMALIZATION; RELATIVE NORMALIZATION; RELATIVE RADIOMETRIC NORMALIZATION; REMOTE SENSING DATA; RESOLUTION IMAGING; SATELLITE IMAGING; SEASONAL TIME SERIES; SENSOR CALIBRATION; SPAIN; TEMPORAL CHANGES; TEMPORAL VARIABILITY; TIME-SERIES; TM-ETM+ CROSS-CALIBRATION; TOPOGRAPHIC CORRECTION; VEGETATION CHANGE; VEGETATION COVER;

RADIOMETRY;

ATMOSPHERIC CORRECTION; CALIBRATION; COMPARATIVE STUDY; HOMOGENEITY; IMAGE RESOLUTION; LANDSAT; RADIATIVE TRANSFER; RADIOMETRIC METHOD; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SEASONAL VARIATION; TEMPORAL VARIATION; TIME SERIES; TOPOGRAPHY; VEGETATION COVER;

EBRO VALLEY; EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

LAMBERTIA;

EID: 50849103360     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.06.011     Document Type: Article

References (98)

1. Almeida-Filho R., and Shimabukuro Y.E. Digital processing of a Landsat-TM time series for mapping and monitoring degraded areas caused by independent gold miners, Roraima State, Brazilian Amazon. Remote Sensing of Environment 79 (2002) 42-50
2. Arino O., Vermote E.F., and Spaventa V. Operational atmospheric correction of Landsat TM imagery. Earth Observation Quarterly 56-57 (1997) 32-35
3. Austin R.B., Cantero-Martínez C., Arrúe J.L., Playán E., and Cano-Marcellán P. Yield-rainfall relationships in cereal cropping systems in the Ebro river valley of Spain. European Journal of Agronomy 8 (1998) 239-248
4. Austin R.B., Playán E., and Gimeno J. Water storage in soils during the fallow: prediction of the effects of rainfall pattern and soil conditions in the Ebro valley of Spain. Agricultural Water Management 36 (1999) 213-231
5. Baquedano F.J., and Castillo F.J. Drought tolerance in the Mediterranean species Quercus coccifera, Quercus ilex, Pinus halepensis, and Juniperus phoenicea. Photosynthetica 45 (2007) 229-238
6. Berk A., Anderson G.P., Bernstein L.S., Acharya P.K., Dothe H., Matthew M.W., Adler-Golden S.M., Chetwynd J.H., Richtsmeier S.C., Pukall B., Allred C.L., Jeong L.S., and Hoke M.L. MODTRAN4 radiative transfer modeling for atmospheric correction. Proceedings of SPIE Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research III, Denver, Co, USA, 18 July 1999 (1999)
7. Bossard, M., Feranec, J., and Otahel, J. (2000): CORINE Land Cover. Copenhagen (EEA). http://terrestrial.eionet.eu.int. Technical Guide - Addendum 2000. Technical report No 40.
8. Cachorro V.E., Durán P., Vergaz R., and De Frutos A.M. Estudio de la influencia de los aerosoles sobre la reflectancia de los canales 1 y 2 del sensor AVHRR NOAA y el NDVI. Revista de Teledetección 13 (2000) 1-13
9. Canty M.J., Nielsen A.A., and Schmidt M. Automatic radiometric normalization of multitemporal satellite imagery. Remote Sensing of Environment 91 (2004) 441-451
10. Caselles V., and López-García M.J. An alternative simple approach to estimate atmospheric correction in multitemporal studies. International Journal of remote Sensing 10 (1989) 1127-1134
11. Chander G., and Markham B. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2674-2677
12. Chander G., Helder D.L., Markham B.L., Dewald J.D., Kaita E., Thome K.J., Micijevic E., and Ruggles T.A. Landsat-5 TM reflective-band absolute radiometric calibration. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 2746-2760
13. Chander G., Markham B.L., and Barsi J.A. Revised Landsat 5 Thematic Mapper radiometric calibration. IEEE Transactions on Geoscience and Remote Sensing 4 (2007) 490-494
14. Chavez P.S. Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing 55 (1989) 1285-1294
15. Chavez P.S. Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing 62 (1996) 1025-1036
16. Chen X., Vierling L., and Deering D. A simple and effective radiometric correction method to improve landscape change detection across sensors and across time. Remote Sensing of Environment 98 (2005) 63-79
17. Chu D.A., Kaufman Y.J., Ichoku C., Remer A., Tanré D., and Holben B.N. Validation of MODIS aerosol optical depth retrieval overland. Geophysical Research Letters 29 (2002) 10.1029/2001GL013205
18. Civco D.L. Topographic normalization of Landsat Thematic Mapper digital imagery. Photogrammetric Engineering & Remote Sensing 55 (1989) 1303-1309
19. Cocke A.E., Fulé P.Z., and Crouse J.E. Comparison of burn severity assessments using differenced normalized burn ratio and ground data. Journal of Wildland Fire 14 (2005) 189-198
20. Cohen W., and Goward S. Landsat's role in ecological applications of remote sensing. BioScience 54 (2004) 535-545
21. Cohen W.B., Spies T.A., Alig R.J., Oetter D.R., Maiersperger T.K., and Fiorella M. Characterizing 23 years (1972-95) of stand replacement disturbance in Western Oregon forests with Landsat imagery. Ecosystems 5 (2002) 122-137
22. Colby J.D. Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing 62 (1991) 151-161
23. Coppin P.R., and Bauer M.E. Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. IEEE Transactions on Geoscience and remote Sensing 32 (1994) 918-927
24. Díaz-Delgado R., Lloret F., and Pons X. Influence of fire severity on plant regeneration by means of remote sensing imagery. International Journal of Remote Sensing 24 (2003) 1751-1763
25. Dozier J. Spectral signature of alpine snow cover from the Landsat Thematic Mapper. Remote Sensing of Environment 28 (1989) 9-22
26. Du Y., Cihlar J., Beaubien J., and Latifovic R. Radiometric normalization, compositing, and quality control for satellite high resolution image mosaics over large areas. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 623-634
27. Du Y., Teillet P., and Cihlar J. Radiometric normalization of multitemporal high-resolution satellite images with quality control and land cover change detection. Remote Sensing of Environment 82 (2002) 123-134
28. Eckhardt D.W., Verdin J.P., and Lyford G.R. Automated update of an irrigated land GIS using SPOT HRV imagery. Photogrammetric Engineering and Remote Sensing 56 (1990) 1515-1522
29. Foody G.M. Soil moisture content ground data for remote sensing investigations of agricultural regions. International Journal of Remote Sensing 12 (1991) 1461-1469
30. Foody G.M., and Curran J.P. Scale and environmental remote sensing. In: Foody G.M., and Curran P.J. (Eds). Environmental remote sensing from regional to global scales (1994), Wiley, New York 223-232
31. González-Sanpedro M.C., Le Toan T., Moreno J., Kergoat L., and Rubio E. Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data. Remote Sensing of Environment 112 (2008) 810-824
32. Gu D., and Gillespie A. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment 64 (1998) 166-175
33. Hall F.G., Strebel D.E., Nickeson J.E., and Goetz S.J. Radiometric rectification: toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment 35 (1991) 11-27
34. Han T., Wulder M.A., White J.C., Coops N.C., Alvarez M.F., and Butson C. An efficient protocol to process Landsat images for change detection with tasselled cap transformation. IEEE Geoscience and Remote Sensing Letters 4 (2007) 147-151
35. Heo J., and FitzHugh T.W. A standardized radiometric normalization method for change detection using remotely sensed imagery. Photogrammetric Engineering and Remote Sensing 66 (2000) 173-181
36. Hill J., and Sturm B. Radiometric correction of multitemporal Thematic Mapper data for use in agricultural land-cover classification and vegetation monitoring. International Journal of Remote Sensing 12 (1991) 1471-1491
37. Holben B. Characteristics of maximum value composite images from temporal AVHRR data. International Journal of Remote Sensing 6 (1986) 1271-1328
38. Hostert P., Röder A., and Hill J. Coupling spectral unmixing and trend analysis for monitoring of long-term vegetation dynamics in Mediterranean rangelands. Remote Sensing of Environment 87 (2003) 183-197
39. Huang C., Kim S., Altstatt A., Townshend J.R.G., Davis P., Song K., Tucker C.J., Rodas O., Yanosky A., Clay R., and Musinsky J. Rapid loss of Paraguay's Atlantic forest and the status of protected areas - A Landsat assessment. Remote Sensing of Environment 106 (2007) 460-466
40. Hunt E.R., and Rock B.N. Detection of changes in leaf water content using near and middle-infrared reflectances. Remote Sensing of Environment 30 (1989) 43-54
41. Jano A.P., Jefferies R.L., and Rockwell R.F. The detection of vegetational change by multitemporal analysis of Landsat data: The effects of goose foraging. Journal of Ecology 86 (1998) 93-99
42. Janzen D.T., Fredeen A.L., and Wheate R.D. Radiometric correction techniques and accuracy assessment for landsat TM data in remote forested regions. Canadian Journal of Remote Sensing 32 (2006) 330-340
43. Kaufman Y.J., Tanré D., Remer L.A., Vermote E.F., Chu A., and Holben B.N. Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS. Journal of Geophysical Research 102 (1996) 17051-17067
44. Lawrence R.L., and Ripple W.J. Calculating change curves for multitemporal satellite imagery: Mount St. Helens 1980-1995. Remote Sensing of Environment 67 (1999) 309-319
45. Lenney M.P., Woodcock C.E., Collins J.B., and Hamdi H. The status of agricultural lands in Egypt: The use of multitemporal NDVI features derived from Landsat TM. Remote Sensing of Environment 56 (1996) 8-20
46. Liang S., Fallah-Adl H., Kalluri S., JáJá J., Kaufman Y., and Townshend R.G. An operational atmospheric correction algorithm for Landsat Thematic Mapper imagery over land. Journal of Geophysical Research 102 (1997) 17173-17186
47. Liang S., Fang H., and Chen M. Atmospheric correction of Landsat ETM+ land surface imagery - Part I: Methods. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 2490-2498
48. Lozano F.J., Suárez-Seoane S., and de Luis E. Assessment of several spectral indices derived from multi-temporal Landsat data for fire occurrence probability modelling. Remote Sensing of Environment 107 (2007) 533-544
49. Lu D., Mausel P., Brondizio E., and Moran E. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing 23 (2002) 2651-2671
50. Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., Gao F., Kutler J., and Teng-Kui L. A Landsat surface reflectance dataset of North America. IEEE Geoscience and Remote Sensing Letters 3 (2006) 68-72
51. Miller J.D., and Yool S.R. Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data. Remote Sensing of Environment 82 (2002) 481-496
52. Millington A.C., Velez-Liendo X.M., and Bradley A.V. Scale dependence in multitemporal mapping of forest fragmentation in Bolivia: Implications for explaining temporal trends in landscape ecology and applications to biodiversity conservation. ISPR Journal of Photogrammetry & Remote Sensing 57 (2003) 289-299
53. Myneni R.B., and Asrar G. Atmospheric effects and spectral vegetation indices. Remote Sensing of Environment 47 (1994) 390-402
54. Norjamäki I., and Tokola T. Comparison of atmospheric correction methods in mapping timber volume with multitemporal Landsat images in Kainuu, Finland. Photogrammetric Engineering and Remote Sensing 73 (2007) 155-163
55. Olsson H. Regression functions for multitemporal relative calibration of Thematic Mapper data over boreal forest. Remote Sensing of Environment 46 (1993) 89-102
56. Olsson H. Reflectance calibration of Thematic Mapper data for forest change detection. International Journal of Remote Sensing 16 (1995) 81-96
57. Olthof I., Pouliot D., Fernandes R., and Latifovic R. Landsat-7 ETM+ radiometric normalization comparison for northern mapping applications. Remote Sensing of Environment 95 (2005) 388-398
58. Ouaidrari H., and Vermote E.F. Operational atmospheric correction of Landsat TM data. Remote Sensing of Environment 70 (1999) 4-15
59. Palà V., and Pons X. Incorporation of relief in polynomial-based geometric corrections. Photogrammetric Engineering and Remote Sensing 61 (1995) 935-944
60. Paolini L., Grings F., Sobrino J.A., Jiménez Muñoz J.C., and Karsebaum H. radiometric correction effects in Landsat multi-date/multi-sensor change detection studies. International Journal of Remote Sensing 27 (2006) 685-704
61. Peña, J.L., Pellicer, F., Julián, A., Chueca, J., Echeverría, M.T., Lozano, M.V., and Sánchez, M. (2002): Mapa geomorfolo ́gico de Aragón. Consejo de Protección de la Naturaleza de Aragón, 54 pp + 3 maps.
62. Pickup G., and Chewings V.H. A grazing gradient approach to land degradation assessment in arid areas from remotely-sensed data. International Journal of Remote Sensing 15 (1994) 597-617
63. Pons X., and Solé-Sugrañes L. A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data. Remote Sensing of Environment 48 (1994) 191-204
64. Proy C., Tanre D., and Deschamps P.Y. Evaluation of topographic effects in remotely sensed data. Remote Sensing of Environment 30 (1989) 21-32
65. Rahman H., and Dedieu G. SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing 15 (1994) 123-143
66. Riaño D., Chuvieco E., salas J., and Aguado I. Assessment of different topographic corrections in landsat-TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 1056-1061
67. Richter R. A spatially adaptive fast atmospheric correction algorithm. International Journal of Remote Sensing 17 (1996) 1201-1214
68. Röder A., Kuemmerle T., and Hill J. Extension of retrospective datasets using multiple sensors. An approach to radiometric intercalibration of Landsat TM and MSS data. Remote Sensing of Environment 95 (2005) 195-210
69. Rousse, J.W., Haas, R.H., Schell, J.A., Deering, D.W. and Harlan, J.C. (1974): Monitoring the vernal advancement of retrogradation of natural vegetation, NASA/GSFC, Type III, Final Report, Greenbelt, MD, 371 pp.
70. Saunier, S. and Rodríguez, Y., (2006): Landsat Product Radiometric calibration. Technical note. ESA. Available in http://earth.esa.int/pub/ESA_DOC/GAEL-calibration-proceeding.pdf
71. Schott J.R., Salvaggio C., and Volchok W.J. Radiometric scene normalization using pseudoinvariant features. Remote Sensing of Environment 26 (1988) 1-6
72. Schroeder T.A., Cohen W.B., Song C., Canty M.J., and Yang Z. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon. Remote Sensing of Environment 103 (2006) 16-26
73. Song C., Schroeder T.A., and Cohen W.B. Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery. Remote Sensing of Environment 106 (2007) 228-237
74. Song C., and Woodcock C.E. Monitoring forest succession with multitemporal Landsat images: Factors of uncertainty. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2557-2567
75. Song C., Woodcock C.E., Seto K.C., Lenney M.P., and Macomber S.A. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?. Remote Sensing of Environment 75 (2001) 230-244
76. Teillet P.M., Barker J.L., Markham B.L., Irish R.R., Fedosejevs G., and Storey J.C. Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. Remote Sensing of Environment 78 (2001) 39-54
77. Teillet P.M., and Fedosejevs G. On the dark target approach to atmospheric correction of remotely sensed data. Canadian Journal of Remote Sensing 21 (1995) 374-387
78. Teillet P.M., Guindon B., and Goodeonugh D.G. On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing 8 (1982) 84-106
79. Teillet P.M., Helder D.L., Ruggles T.A., Landry R., Ahern F.J., Higgs N.J., Barsi J., Chander G., Markham B.L., Barker J.L., Thome K.J., Schott J.R., and Palluconi F.D. A definitive calibration record for the Landsat-5 Thematic Mapper anchored to the Landsat-7 radiometric scale. Canadian Journal of Remote Sensing 30 (2004) 631-643
80. Teillet P.M., and Holben B.N. Toward operational radiometric calibration of NOAA-AVHRR imagery in visible and infrared channels. Canadian Journal of Remote Sensing 20 (1993) 1-10
81. Teillet P.M., Markham B.L., and Irish R.R. Landsat cross-calibration based on near simultaneous imaging of common ground targets. Remote Sensing of Environment 102 (2006) 264-270
82. Tokola T., Löfman S., and Erkkilä A. Relative calibration of multitemporal Landsat data for forest cover change detection. Remote Sensing of Environment 68 (1998) 1-11
83. Van Dijk A., Callis S.L., Sakamoto C.M.y., and Decker W.L. Smoothing vegetation index profiles: An alternative method for reducing radiometric disturbance in NOAA/AVHRR data. Photogrammetric Engineering and Remote Sensing 53 (1987) 1059-1067
84. Van Heuklon T.K. Estimating atmospheric ozone for solar radiation models. Solar Energy 22 (1979) 63-68
85. Vermote E.F., Tanré D., Deuzé J.L., Herman M., and Morcrette J.J. Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 675-686
86. Vermote E.F., El Saleous N.Z., Justice C.O., Kaufman Y.J., Privette J., Remer L., Roger J.C., and Tanré D. Atmospheric correction of visible to middle infrared EOS-MODIS data over land surface, background, operational algorithm and validation. Journal of Geophysical Research 102 (1997) 17131-17141
87. Vermote E.F., El Saleous N., and Justice C. Atmospheric correction of the MODIS data in the visible to middle infrared: First results. Remote Sensing of Environment 83 (2002) 97-111
88. Vicente-Serrano S.M. Evaluating the impact of drought using remote sensing in a Mediterranean, semi-arid region. Natural Hazards 40 (2007) 173-208
89. Vicente-Serrano S.M., Cuadrat J.M., and Romo A. Aridity influence on vegetation patterns in the middle Ebro valley (Spain): Evaluation by means of AVHRR images and climate interpolation techniques. Journal of Arid Environments 66 (2006) 353-375
90. Vicente-Serrano S.M., Lanjeri S., and López-Moreno J.I. Comparison of different procedures to map reference evapotranspiration using geographical information systems and regression-based techniques. International Journal of Climatology 27 (2007) 1103-1118
91. Viedma O., Meliá J., Segarra D., and García-Haro J. Modeling rates of ecosystem recovery after fires by using Landsat TM data. Remote Sensing of Environment 61 (1997) 383-398
92. Vincini M., and Frazzi E. Multitemporal evaluation of topographic normalization methods on deciduous forest TM data. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2586-2590
93. Vogelmann J.E., Helder D., Morfitt R., Choate M.J., Merchant J.W., and Bulley H. Effects of Landsat 5 Thematic Mapper and Landsat 7 enhanced Thematic Mapper Plus radiometric and geometric calibrations and corrections on landscape characterization. Remote Sensing of Environment 78 (2001) 55-70
94. de Vries C., Danaher T., Denham R., Scarth P., and Phinn S. An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites. Remote Sensing of Environment 107 (2007) 414-429
95. Wen G., Tsay S., Cahalan R.F., and Oreopoulos L. Path radiance technique for retrieving aerosol optical thickness over land. Journal of Geophysical Research 104 (1999) 31321-31332
96. Wimberly M.C., and Reilly M.J. Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM+ imagery. Remote Sensing of Environment 108 (2007) 189-197
97. Yang C., and Vidal A. Combination of digital elevation models with SPOT-1 HRV multispectral imagery for reflectance factor mapping. Remote Sensing of Environment 32 (1990) 35-45
98. Yuan D., and Elvidge C.D. Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry & Remote Sensing 51 (1996) 117-126