Erdas imagine 2014 image radiometric calibration

#Erdas imagine 2014 image radiometric calibration skin
#Erdas imagine 2014 image radiometric calibration software
#Erdas imagine 2014 image radiometric calibration free

Conversion of Radiance to At-Sensor TemperatureДЄfter the digital numbers (DNs) are converted to reflection, the TIRS band data should be converted from spectral radiance to brightness temperature (BT) using the thermal constants provided in the metadata file. After inputting band 10, in the background, the tool uses formulas taken from the USGS web page for retrieving the top of atmospheric (TOA) spectral radiance ( L О»): (1) L О» = M L в€— Q cal + A L - O i ,where M L represents the band-specific multiplicative rescaling factor, Q cal is the Band 10 image, A L is the band-specific additive rescaling factor, and O i is the correction for Band 10. The first step of the algorithm is the input of Band 10. Thermal constant, Band 10ДЇlowchart for LST retrieval. The metadata of the satellite images used in the algorithm is presented in Table 1. In this study, the TIR band 10 was used to estimate brightness temperature and bands 4 and 5 were used for calculating the NDVI.

#Erdas imagine 2014 image radiometric calibration free

The data of Landsat 8 is available at the Earth Explorer website free of charge. The LST of any Landsat 8 satellite image can be retrieved following the steps of Figure 1.

The algorithm was created in ERDAS IMAGINE 2014, and it can only be used to process LANDSAT 8 data because of the data complexity. Following January 6, 2014, recommendations of USGS of not using TIRS Band 11 due to its larger calibration uncertainty, only Band 10 was included in the algorithm. The tool presented in this paper is used for calculating the LST of a given LANDSAT 8 image with the input of the fourth (red wavelength/micrometres, 0.64вЂ“0.67), fifth (near infrared (NIR) wavelength/micrometres, 0.85вЂ“0.88), and tenth (thermal infrared sensor (TIRS) wavelength/micrometres, 10.60вЂ“11.19) bands. A similar study for retrieving LST in ERDAS IMAGINE has been conducted for LANDSAT 7 data but not for LANDSAT 8. Although an LST retrieval method for LANDSAT 8 has been developed, a tool is needed for the complicated process of obtaining the LST.

#Erdas imagine 2014 image radiometric calibration software

The tool also can be developed in any software supporting pixel calculations from a given image, following step by step this paper. Without the tool, the process of retrieving LST is very long, and it is prone to many mistakes. The algorithm introduced in this paper has been developed using ERDAS IMAGINE 2014, with the Model Maker allowing us to create a model that will repeat the process automatically, and it is easy to develop a simple tool useful for doing pixel calculations. The tool developed in this paper is simple and does not require any background knowledge so scientists can use it very easy in their researches. There is a growing awareness among environmental scientists that remote sensing can and must play a role in providing the data needed to assess ecosystems conditions and to monitor change at all special scales. Calculating LST from remote sensed images is needed since it is an important factor controlling most physical, chemical, and biological processes of the Earth. LST is an important factor in many areas of studies, such as global climate change, hydrological and agricultural processes, and urban land use/land cover. As one of the most important aspects of the land surface, LST has been a main topic for developing methodologies to be measured from space.

#Erdas imagine 2014 image radiometric calibration skin

Land surface temperature (LST) is defined as the temperature felt when the land surface is touched with the hands or the skin temperature of the ground.