Thermal Infra-Red Scanner (TIRS)

Instrument

blue arrow Instrument Overview

The Landsat Thermal Infra-Red Scanner (TIRS) provides two more narrow spectral bands in the Thermal (originally covered by a single band in the previous TM and ETM+ sensors) and is a QWIP (Quantum Well Infra-Red Photodetector) based instrument intended to supplement the observations of the OLI instrument.

The Thermal Infra-Red Scanner (TIRS) instrument on board Landsat 8 is a thermal imager operating in pushbroom mode with two Infra-Red channels: 10.8 µm and 12 µm. The two spectral bands are achieved through interference filters that cover the FPA (Focal Plane Assembly). The pushbroom implementation increases the system sensitivity by allowing longer integration times than whiskbroom sensors. The two channels allow the use of the "split-window" technique to aid in distinguishing between the temperature of the Earth's surface and that of the atmosphere.

TIRS instrument parameters
Swath Width 185 km
Spatial Resolution (GSD) 100 m
Scene Size 185x180 km
Bandwidths 10.3-11.3 µm (10.8 band centre) and 11.5-12.5 µm (12.0 band centre)

 

Find out more about TIRS on the NASA website

blue arrow Data

blue arrow DATA DOWNLOAD

Download Landsat 8 products through the ESA Landsat 8 portal. The data is freely available to registered EO-SSO users

Watch in real time (less than a minute delay during acquisition) the Landsat 7 and 8 acquisitions over Matera and Kiruna station footprints from Landsat 7 and 8 Real Time Acquisitions.

blue arrow DATA DESCRIPTION

ESA offers to registered user the access through the Landsat 8 portal to the following data collection

Further information is available on the products information page.

blue arrow Cal/Val

The goal of TIRS calibration and validation activities is to verify the accuracy and quality of data the instrument acquires.

blue arrow Quality Control Reports

Quality Control Reports are available for TIRS in three different varieties covering quality monitoring, data unavailability and any product anomalies.