Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges

By G. Chander, B. Markham. IEEE Transactions on Geoscience and Remote Sensing, 2003

1,218 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ca3fbaa1e9b9fdec9be7b992d0a17834adc5e1a9

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Citations in the corpus

The impact of heat waves on surface urban heat island and local economy in Cluj-Napoca city, Romania (2018, methodology): “The method used here was adapted for Landsat 8 based on the equation introduced by Chander and Markham (2003).”
Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon (2006, methodology): “was accounted for using data published by Thome et al. (1997) and Teillet et al. (2001), while revised gain parameters published by Chander and Markham (2003) were used for images acquired and processed after May 5, 2003.”
Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain (2007, background): “…in absolute terms with a detailed retrospective trend analysis of Landsat-5 TM radiometry (Helder et al., 2004) made it possible to establish and implement a definitive calibration record for the lifetime of the Landsat-5 TM (Chander & Markham, 2003; Chander et al., 2004; Teillet et al., 2004).”
Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model (2007, methodology): “Values for ESUNb are presented in Chander and Markham 2003 for Landsat 4 and 5, in LPSO 2004 for Landsat 7, and in Tasumi et al. 2007 for MODIS satellites.”
The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees (2010, methodology): “…Location accuracy was estimated at less than one half pixel width (15 m) from control points taken along highways and road intersections with a Trimble GeoXT GPS. TM bands 1–5 and 7 were converted to top-of-atmosphere reflectance using standard calibration coefficients (Chander and Markham 2003).”
Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data (2009, methodology): “A commonly used approximation of Planck’s function specific to Landsat is given by [15]”
Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, methodology): “Methods and/or correction coefficients have been published for many radiometric correction techniques, including conversion to top-ofatmosphere reflectance (Chander and Markham 2003; Chander et al. 2007), dark-object subtraction (Chavez 1988; Teillet and Fedosejevs 1995), measuring or estimating atm”