532
Views
15
CrossRef citations to date
0
Altmetric
Articles

Evaluation of LST downscaling algorithms on seasonal thermal data in humid subtropical regions of India

, &
Pages 2503-2523 | Received 29 Oct 2014, Accepted 03 Mar 2015, Published online: 12 May 2015

References

  • Abuzar, M., G. O’Leary, and G. Fitzgerald. 2009. “Measuring Water Stress in a Wheat Crop on a Spatial Scale Using Airborne Thermal and Multispectral Imagery.” Field Crops Research 112 (1): 55–65. doi:10.1016/j.fcr.2009.02.001.
  • Agam, N., W. P. Kustas, M. C. Anderson, F. Li, and C. M. U. Neale. 2007. “A Vegetation Index Based Technique for Spatial Sharpening of Thermal Imagery.” Remote Sensing of Environment 107 (4): 545–558. doi:10.1016/j.rse.2006.10.006.
  • Anderson, M. C., R. G. Allen, A. Morse, and W. P. Kustas. 2012. “Use of Landsat Thermal Imagery in Monitoring Evapotranspiration and Managing Water Resources.” Remote Sensing of Environment 122: 50–65. doi:10.1016/j.rse.2011.08.025.
  • Anderson, M. C., C. M. U. Neale, F. Li, J. M. Norman, W. P. Kustas, H. Jayanthi, and J. Chavez. 2004. “Upscaling Ground Observations of Vegetation Water Content, Canopy Height, and Leaf Area Index during SMEX02 Using Aircraft and Landsat Imagery.” Remote Sensing of Environment 92: 447–464. doi:10.1016/j.rse.2004.03.019.
  • Badeck, F.-W., A. Bondeau, K. Bottcher, D. Doktor, W. Lucht, J. Schaber, and S. Sitch. 2004. “Responses of Spring Phenology to Climate Change.” The New Phytologist 162: 295–309. doi:10.1111/nph.2004.162.issue-2.
  • Barsi, J. A., J. L. Barker, and J. R. Schott. 2003. “An Atmospheric Correction Parameter Calculator for a Single Thermal Band Earth-Sensing Instrument”. IGARSS03, Centre de Congres Pierre Baudis, July 21–25.
  • Blundell, S., and K. Blundell 2006. Concepts in Modern Physics. Oxford University Press. ISBN 978-0-19-856769-1.
  • Caihua, Y., L. Yonghong, Q. Weijun, L. Weidong, and L. Cheng. 2011. “Application of Urban Thermal Environment Monitoring Based on Remote Sensing in Beijing.” Procedia Environmental Sciences 11: 1424–1433. doi:10.1016/j.proenv.2011.12.214.
  • Carlson, T. N., and D. A. Ripley. 1997. “On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index.” Remote Sensing of Environment 62: 241–252. doi:10.1016/S0034-4257(97)00104-1.
  • Chander, G., and B. Markham. 2003. “Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges.” IEEE Transactions on Geoscience and Remote Sensing 41: 2674–2677. doi:10.1109/TGRS.2003.818464.
  • Chavez, Jr., P. S. 1996. “Image-Based Atmospheric Corrections-Revisited and Improved.” Photogrammetric Engineering and Remote Sensing 62: 1025–1036.
  • Chen, X.-L., H.-M. Zhao, P.-X. Li, and Z.-Y. Yin. 2006. “Remote Sensing Image-Based Analysis of the Relationship between Urban Heat Island and Land Use/Cover Changes.” Remote Sensing of Environment 104: 133–146. doi:10.1016/j.rse.2005.11.016.
  • Coudert, B., C. Ottlé, and X. Briottet. 2008. “Monitoring Land Surface Processes with Thermal Infrared Data: Calibration of SVAT Parameters Based on the Optimisation of Diurnal Surface Temperature Cycling Features.” Remote Sensing of Environment 112 (3): 872–887. doi:10.1016/j.rse.2007.06.024.
  • De Cola, L., 1997. “Multiresolution Covariation among Landsat and AVHRR Vegetation Indices.” In Scale in Remote Sensing and GIS, edited by D. A. Quattrochi and M. F. Goodchild, 73–91. London: Lewis Publishers.
  • Dominguez, A., J. Kleissl, J. C. Luvall, L. Douglas, and Rickman. 2011. “High-Resolution Urban Thermal Sharpener (HUTS).” Remote Sensing of Environment 115 (7): 1772–1780. doi:10.1016/j.rse.2011.03.008.
  • Dragutin, T. M., and J. Eitzinger. 2007. “Modelling Temperatures of Crop Environment.” Echological Modelling 202: 465–475. doi:10.1016/j.ecolmodel.2006.11.009.
  • Essa, W., J. V. D. Kwast, B. Verbeiren, and O. Batelaan. 2013. “Downscaling of Thermal Images over Urban Areas Using the Land Surface Temperature–Impervious Percentage Relationship.” International Journal of Applied Earth Observation and Geoinformation 23: 95–108. doi:10.1016/j.jag.2012.12.007.
  • Essa, W., B. Verbeiren, J. V. D. Kwast, T. V. D. Voorde, and O. Batelaan. 2012. “Evaluation of the Distrad Thermal Sharpening Methodology for Urban Areas.” International Journal of Applied Earth Observation and Geoinformation 19: 163–172. doi:10.1016/j.jag.2012.05.010.
  • Gao, F., W. P. Kustas, and M. C. Anderson. 2012. “A Data Mining Approach for Sharpening Thermal Satellite Imagery over Land.” Remote Sensing 4 (11): 3287–3319. doi:10.3390/rs4113287.
  • Hall, F. G., Huemmrich, K. F., Goetz, S. J., Sellers, P. J., and Nickeson, J. E. 1992. “Satellite Remote Sensing of Surface Energy Balance: Success, Failures, and Unresolved Issues in FIFE.” Journal of Geophysical Research: Atmospheres 97: 19061–19089. doi:10.1029/92JD02189.
  • Hope, A., R. Engstrom, and D. Stow. 2005. “Relationship between AVHRR Surface Temperature and NDVI in Arctic Tundra Ecosystems.” International Journal of Remote Sensing 26 (8): 1771–1776. doi:10.1080/01431160500043780.
  • Hulley, G. C., S. J. Hook, and A. M. Baldridge. 2010. “Investigating the Effects of Soil Moisture on Thermal Infrared Land Surface Temperature and Emissivity Using Satellite Retrievals and Laboratory Measurements.” Remote Sensing of Environment 114 (7): 1480–1493. doi:10.1016/j.rse.2010.02.002.
  • Ichoku, C., Y. J. Kaufman, L. Giglio, Z. Li, R. H. Fraser, J.-Z. Jin, and W. M. Park. 2003. “Comparative Analysis of Daytime Fire Detection Algorithms Using AVHRR Data for the 1995 Fire Season in Canada: Perspective for MODIS.” International Journal of Remote Sensing 24 (8): 1669–1690. doi:10.1080/01431160210144697.
  • Jeganathan, C., N. A. S. Hamm, S. Mukherjee, P. M. Atkinson, P. L. N. Raju, and V. K. Dadhwal. 2011. “Evaluating a Thermal Image Sharpening Model over a Mixed Agricultural Landscape in India.” International Journal of Applied Earth Observation and Geoinformation 13 (2): 178–191. doi:10.1016/j.jag.2010.11.001.
  • Jensen, J. R. 2006. Remote Sensing of the Environment: An Earth Resource Perspective. 2nd ed. Upper Saddle River, NJ: Prentice Hall.
  • Julien, Y., J. A. Sobrino, and J.-C. Jiménez-Muñoz. 2011. “Land Use Classification from Multitemporal Landsat Imagery Using the Yearly Land Cover Dynamics (YLCD) Method.” International Journal of Applied Earth Observation and Geoinformation 13 (5): 711–720. doi:10.1016/j.jag.2011.05.008.
  • Julien, Y., J. A. Sobrino, C. Mattar, A. B. Ruescas, J. C. Jiménez-Muñoz, G. Sòria, V. Hidalgo, M. Atitar, B. Franch, and J. Cuenca. 2011. “Temporal Analysis of Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) Parameters to Detect Changes in the Iberian Land Cover between 1981 and 2001.” International Journal of Remote Sensing 32 (7): 2057–2068. doi:10.1080/01431161003762363.
  • Julien, Y., J. A. Sobrino, and W. Verhoef. 2006. “Changes in Land Surface Temperatures and NDVI Values over Europe between 1982 and 1999.” Remote Sensing of Environment 103 (1): 43–55. doi:10.1016/j.rse.2006.03.011.
  • Karnieli, A., N. Agam, R. T. Pinker, M. Anderson, M. L. Imhoff, G. G. Gutman, N. Panov, and A. Goldberg. 2010. “Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations.” Journal of Climate 23: 618–633. doi:10.1175/2009JCLI2900.1.
  • Karnieli, A., M. Bayasgalan, Y. Bayarjargal, N. Agam, S. Khudulmur, and C. J. Tucker. 2006. “Comments on the use of the Vegetation Health Index over Mongolia.” International Journal of Remote Sensing 27 (10): 2017–2024. doi:10.1080/01431160500121727.
  • Kustas, W. P., J. M. Norman, M. C. Anderson, and A. N. French. 2003. “Estimating Subpixel Surface Temperatures and Energy Fluxes from the Vegetation Index-Radiometric Temperature Relationship.” Remote Sensing of Environment 85: 429–440. doi:10.1016/S0034-4257(03)00036-1.
  • Luvall, J. C., and H. R. Holbo. 1989. “Measurements of Short-Term Thermal Responses of Coniferous Forest Canopies Using Thermal Scanner Data.” Remote Sensing of Environment 27 (1): 1–10. doi:10.1016/0034-4257(89)90032-1.
  • Merlin, O., B. Duchemin, O. Hagolle, F. Jacob, B. Coudert, G. Chehbouni, G. Dedieu, J. Garatuza, and Y. Kerr. 2010. “Disaggregation of MODIS Surface Temperature over an Agricultural Area Using a Time Series of Formosat-2 Images.” Remote Sensing of Environment 114 (11): 2500–2512. doi:10.1016/j.rse.2010.05.025.
  • Muramatsu, K., S. Nakayama, and I. Kaihotsu. 2006. “A Case Study of Estimating Thermal Energy Budget in Mongolian Plateau Using LANDSAT 7/ETM+ Data.” Advances in Space Research 38: 2191–2195. doi:10.1016/j.asr.2003.05.065.
  • Nichol, J. 2009. “An Emissivity Modulation Method for Spatial Enhancement of Thermal Satellite Images in Urban Heat Island Analysis.” Photogrammetric Engineering & Remote Sensing 75 (5): 547–556. doi:10.14358/PERS.75.5.547.
  • Rodriguez-Galiano, V., E. Pardo-Iguzquiza, M. Sanchez-Castillo, M. Chica-Olmo, and M. Chica-Rivas. 2012. “Downscaling Landsat 7 ETM+ Thermal Imagery Using Land Surface Temperature and NDVI Images.” International Journal of Applied Earth Observation and Geoinformation 18: 515–527. doi:10.1016/j.jag.2011.10.002.
  • Rojas, O., A. Vrieling, and F. Rembold. 2011. “Assessing Drought Probability for Agricultural Areas in Africa with Coarse Resolution Remote Sensing Imagery.” Remote Sensing of Environment 115 (2): 343–352. doi:10.1016/j.rse.2010.09.006.
  • Sandholt, I., K. Rasmussen, and J. Andersen. 2002. “A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status.” Remote Sensing of Environment 79: 213–224. doi:10.1016/S0034-4257(01)00274-7.
  • Sobrino, J. A., M. Gómez, J. C. J. Jiménez-Muñoz, and A. Olioso. 2007. “Application of a Simple Algorithm to Estimate Daily Evapotranspiration from NOAA-AVHRR Images for the Iberian Peninsula.” Remote Sensing of Environment 110: 139–148. doi:10.1016/j.rse.2007.02.017.
  • Sobrino, J. A., J. C. Jiménez-Muñoz, and L. Paolini. 2004. “Land Surface Temperature Retrieval from LANDSAT TM 5.” Remote Sensing of Environment 90: 434–440. doi:10.1016/j.rse.2004.02.003.
  • Song, C., C. E. Woodcock, K. C. Seto, M. Pax-Lenney, and S. A. Macomber. 2001. “Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?” Remote Sensing of Environment 77: 241–246.
  • Stathopoulou, M., and C. Cartalis. 2009. “Downscaling AVHRR Land Surface Temperatures for Improved Surface Urban Heat Island Intensity Estimation.” Remote Sensing of Environment 113 (12): 2592–2605. doi:10.1016/j.rse.2009.07.017.
  • Van De Griend, A. A., and M. Owe. 1993. “On the Relationship between Thermal Emissivity and the Normalized Difference Vegetation Index for Natural Surfaces.” International Journal of Remote Sensing 14: 1119–1131. doi:10.1080/01431169308904400.
  • Voogt, J. A., and T. R. Oke. 2003. “Thermal Remote Sensing of Urban Climates.” Remote Sensing of Environment 86 (3): 370–384. doi:10.1016/S0034-4257(03)00079-8.
  • Wald, L. 1999. “Some Terms of Reference in Data Fusion.” IEEE Transactions on Geoscience and Remote Sensing 37: 1190–1193. doi:10.1109/36.763269.
  • Weng, Q. 2009. “Thermal Infrared Remote Sensing for Urban Climate and Environmental Studies: Methods, Applications, and Trends.” ISPRS Journal of Photogrammetry and Remote Sensing 64 (4): 335–344. doi:10.1016/j.isprsjprs.2009.03.007.
  • Wooster, M. J., W. Xu, and T. Nightingale. 2012. “Sentinel-3 SLSTR Active Fire Detection and FRP Product: Pre-Launch Algorithm Development and Performance Evaluation Using MODIS and ASTER Datasets.” Remote Sensing of Environment 120: 236–254. doi:10.1016/j.rse.2011.09.033.
  • Yang, H., Z. Cong, Z. Liu, and Z. Lei. 2010. “Estimating Sub-Pixel Temperatures Using the Triangle Algorithm.” International Journal of Remote Sensing 31 (23): 6047–6060. doi:10.1080/01431160903376373.
  • Yang, G., R. Pu, C. Zhao, W. Huang, and J. Wang. 2011. “Estimation of Subpixel Land Surface Temperature Using an Endmember Index Based Technique: A Case Examination on ASTER and MODIS Temperature Products over A Heterogeneous Area.” Remote Sensing of Environment 115 (5): 1202–1219. doi:10.1016/j.rse.2011.01.004.
  • Zakšek, K., and K. Oštir. 2012. “Downscaling Land Surface Temperature for Urban Heat Island Diurnal Cycle Analysis.” Remote Sensing of Environment 117: 114–124. doi:10.1016/j.rse.2011.05.027.
  • Zhan, W., Y. Chen, J. Zhou, J. Wang, W. Liu, J. Voogt, X. Zhu, J. Quan, and J. Li. 2013. “Disaggregation of Remotely Sensed Land Surface Temperature: Literature Survey, Taxonomy, Issues, and Caveats.” Remote Sensing of Environment 131: 119–139. doi:10.1016/j.rse.2012.12.014.
  • Zhang, J., Wang, Y., and Li, Y. 2006. “A C++ Program for Retrieving Land Surface Temperature from the Data of Landsat TM/ETM+ band6.” Computers & Geosciences 32 (10): 1796–1805. doi:10.1016/j.cageo.2006.05.001.
  • Zhu, S., H. Guan, A. C. Millington, and G. Zhang. 2013. “Disaggregation of Land Surface Temperature over A Heterogeneous Urban and Surrounding Suburban Area: A Case Study in Shanghai, China.” International Journal of Remote Sensing 34 (5): 1707–1723. doi:10.1080/01431161.2012.725957.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.