I am working on detecting indicators of climate change using a series of landsat data. I need to use a proper method to prepare land surface temperature maps for 30 years data.
Have you tried MODIS land surface temperature (LST) data? I think you can use MODIS LST (both from TERRA and Aqua) at 1 km spatial resolution and daily temporal resolution. For more information, please explore this link.
You may try for Land Surface Temperature Retrieval from LANDSAT data. Various techniques have been developed to estimate LST for Urban Heat analysis, Meteorology and Climatology, Land Cover Dynamic monitoring using brightness temperature. https://www.ripublication.com/ijaer17/ijaerv12n20_57.pdf
Thank you all for giving advice. Actually fields sizes in Palestine are small, and spatial land use gradient changes rapidly. So, i think MODIS spatial resolution may not be appropriate for the study area properties. moderate spatial resolution data such as landsat may be more appropriate.
Well I have used Landsat 7 (Band 6) recently by extracting DN values, converted to spectral radiance and then to temperature (Terrset Software Recommended). You can use Landsat 8 (Band 10 & 11) since its readily available. Landsat 7 or 8 Science Data User’s Handbook would really walk you through the process if needed. MODIS would have been appropriate but your area of interest is very small i guess. Regards.
Hello! If You asked about interpolation method, very good one in ArcGIS is Spline. This results in a smooth surface that passes exactly through the input points - and it is often used just in temperature interpolating. All the best!
Hello, please find attached the article below with can help You.
You need to make a Thermal Atmospheric Correction for LST retrieval from Landsat data.
Also, band 61 and 62 of Landsat7 ETM+ use exactly the same detectors, and use the same wavelength and bandwidth, but the gain is set differently. 61 is set to ‘low’ gain, and 62 is set to ‘high’ gain to maximize the instrument’s 8
bit radiometric resolution without saturating the detectors.
The band 61 (low gain mode) is then used when surface brightness is high (e.g., desert, or less vegetated areas), and band 62 (high gain mode) when surface brightness is lower (e.g., vegetated areas).
For Landsat8, following March 29, 2016, recommendations of USGS of not using TIRS Band 11 due to its larger calibration uncertainty (Landsat 8 data users handbook, 2016)
Landsat 7 thermal has stripping errors yet it has the lower resolution and landsat 8 band 10 I read somewhere it gives four degrees celcius higher temperature and band 11 about 8 degrees due to straylight issues. So you wonder which is better.
* Landsat 7 thermal has stripping errors yet it has the Higer resolution of 60m and landsat 8 band 10 with higher resolution of 100m I read somewhere it gives four degrees celcius higher temperature and band 11 about 8 degrees due to straylight issues. So you wonder which is better.