Abstract

Landsat thermal instruments have been a significant source of data for thermal remote sensing applications, and future Landsat missions will continue this tradition.

This work was designed to help inform the requirements for several parameters of future Landsat thermal instruments, and assess the impact that these parameters can have on the retrieved Land Surface Temperature (LST). Two main studies were conducted in this research. The first will investigate the impact that uncertainty in the spectral response of the bands will have on the LST product using the Split Window Algorithm. The main parameters that will be tested are the center and width of he bands. The second study will investigate the impact of stray light on LST, including different magnitudes of stray light and different combinations of in-field and out-of-field targets.

The results of the band study showed that shifting of the bands seems to be have a larger impact on the LST than widening of the bands. Small shifts of only +/- 50 nm can cause errors of over 1 K in the LST. This study also showed that atmospheres with more water vapor content will have more effected than those with lower water vapor.

The stray light study showed that using the stray light coefficients from TIRS-2 will not have a significant impact, when compared to the residual errors associated with the Split Window Algorithm.

Library of Congress Subject Headings

Landsat satellites--Calibration; Earth temperature--Remote sensing

Publication Date

9-2019

Document Type

Thesis

Student Type

Graduate

Degree Name

Imaging Science (MS)

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Advisor

Aaron Gerace

Advisor/Committee Member

Carl Salvaggio

Advisor/Committee Member

Tania Kleynhans

Campus

RIT – Main Campus

Plan Codes

IMGS-MS

Download

Share

COinS