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There are new algorithms recently available.
1. FSDAF
2. Fmask
3. SADFAT
4. DELTA








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delta

DELTA Algorithm for land surface temperature mapping

This algorithm was developed by Peng Fu and Qihao Weng at Indiana State University.

Email address of primary contact: fupenghzau@gmail.com. The download link is here.

Language of computer code: MATLAB (R2012 or higher preferred)
Does standalone executable software exist for the algorithm? : No
Input data: All the Landsat land surface temperature image from 1984 to 2011.
Output: Reconstructed daily land surface temperature at 120 meters from 1984 to 2011.

Descriptions of the computer code by the author:
The DELTA algorithm can reconstruct consistent, daily LSTs at Landsat resolution based solely on Landsat imagery. The DELTA algorithm possesses some advantages compared with the algorithms by blending Landsat and MODIS imagery to generate LSTs: (1) DELTA does not require the input of MODIS images; (2) the utilization of temporal segmentation in DELTA reduces the impact of land cover changes on LST prediction over time.

Relevant Publications:
Fu, P., & Weng, Q. (2016). A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery. Remote Sensing of Environment, 175, 205-214.
Fu, P., & Weng, Q. (2016). Consistent land surface temperature data generation from irregularly spaced Landsat imagery. Remote Sensing of Environment, 184, 175-187.
Weng, Q. and P. Fu. (2014). Modeling annual parameters of land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data. Remote Sensing of Environment, 140, 267-278.

Remote sensor the algorithm is primarily applied to:

Coarse spatial resolution (> 100 m) optical sensor
Medium spatial resolution (10-100 m) optical sensor
Thermal infrared sensor

Application Area:

Atmosphere and climate
Land cover and land use
Vegetation
Agriculture
Soils
Ecology
Geography and land information
Urban
GIS


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