- ERDAS IMAGINE 2014 IMAGE RADIOMETRIC CALIBRATION SKIN
- ERDAS IMAGINE 2014 IMAGE RADIOMETRIC CALIBRATION SOFTWARE
- ERDAS IMAGINE 2014 IMAGE RADIOMETRIC CALIBRATION FREE
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, 0.64–0.67), fifth (near infrared (NIR) wavelength/micrometres, 0.85–0.88), and tenth (thermal infrared sensor (TIRS) wavelength/micrometres, 10.60–11.19) 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. For future studies, the tool should be refined with in situ measurements of land surface temperature. The results showed that, for the first case, the standard deviation was 2.4☌, and for the second case, it was 2.7☌.
To verify the algorithm, the land surface temperature and the near-air temperature were compared. Different methods and formulas were used in the algorithm that successfully retrieves the land surface temperature to help us study the thermal environment of the ground surface. The tool was developed using the LANDSAT 8 thermal infrared sensor Band 10 data. This study presents an algorithm for the automatic mapping of land surface temperature from LANDSAT 8 data. As the latest launched satellite from the LANDSAT family, LANDSAT 8 has opened new possibilities for understanding the events on the Earth with remote sensing. Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover.
0 kommentar(er)
