A stable gaussian fitting procedure for the parameterization of remote sensed thermal images

Algorithms

Volumn 8, Issue 2, 2015, Pages 82-91

  Anniballe, Roberta ^a   Bonafoni, Stefania ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Gaussian fit; Least square; Regression; Satellite image parameterization; Urban heat island

Indexed keywords

ATMOSPHERIC TEMPERATURE; ITERATIVE METHODS; PARAMETERIZATION; REMOTE SENSING;

GAUSSIAN FITS; LEAST SQUARE; REGRESSION; SATELLITE IMAGES; URBAN HEAT ISLAND;

GAUSSIAN DISTRIBUTION;

EID: 84940397411     PISSN: None     EISSN: 19994893     Source Type: Journal    
DOI: 10.3390/a8020082     Document Type: Article

References (16)

1. Streutker, D.R. A remote sensing study of the urban heat island of Houston, Texas. Int. J. Rem. Sens. 2002, 23, 2595-2608.
2. Oke, T.R. City size and the urban heat island. Atmos. Environ. 1973, 7, 769-779.
3. Oke, T.R. The energetic basis of the Urban Heat Island. Quart. J. Roy. Meteorol. Soc. 1982, 108, 1-24.
4. Tan, J.; Zheng, Y.; Tang, X.; Guo, C.; Li, L.; Song, G.; Zhen, X.; Yuan, D.; Kalkstein, A.J.; Li, F.; Chen, H. The heat island and its impact on heat waves and human health in Shanghai. Int. J. Biometeor. 2010, 54, 75-84.
5. Saaroni, H.; Ben-Dor E.; Bitan, A.; Potcher, O. Spatial distribution and microscale characteristics of the Urban Heat Island in Tel-Aviv, Israel. Landsc. Urban Plan. 2000, 48, 1-18.
6. Anniballe, R.; Bonafoni, S.; Pichierri, M. Spatial and temporal trends of the surface and air heat island over Milan using Modis data. Rem. Sens. Env. 2014, 150, 163-171.
7. Anthony, S.M.; Granick, S. Image Analysis with Rapid and Accurate Two-Dimensional Gaussian Fitting. Langmuir 2009, 25, 8152-8160.
8. Streutker, D.R. Satellite-measured growth of the urban heat island of Houston, Texas. Rem. Sens. Env. 2003, 85, 282-289.
9. Marquardt, D. An algorithm for least square estimation of nonlinear parameters. J. Soc. Indust. Appl. Math. 1963, 11, 431-441.
10. Dennis, J.E., Jr. Nonlinear Least-Squares. State of the Art in Numerical Analysis; Jacobs, D., Ed.; Academic Press: New York, NY, USA, 1977; pp. 269-312.
11. Pichierri, M.; Bonafoni, S.; Biondi, R. Satellite air temperature estimation for monitoring the canopy layer heat island of Milan. Rem. Sens. Env. 2012, 127, 130-138.
12. Wan, Z. New refinements and validation of the MODIS land-surface temperature/emissivity products. Rem. Sens. Env. 2008, 112, 59-74.
13. US Geological Survey (USGS) Center website. Available online: http://earthexplorer.usgs.gov (accessed on 25 March 2015).
14. Chander, G.; Markham B.L.; Helder D.L. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Rem. Sens. Env. 2009, 113, 893-903.
15. Chavez, P.S. Image-based atmospheric correction-revisited and improved. Photogramm. Eng. Rem. Sens. 1996, 62, 1025-1036.
16. Sobrino, J.A.; Jimenez-Munoz, J.C.; Paolini, L. Land surface temperature retrieval from LANDSAT TM 5. Rem. Sens. Env. 2004, 90, 434-440.