In ERDAS imagine, very nice tool is given and its satellite specific. You can give require inputs from the metadata file and convent very easily DN to Refelection. For your ready reference, please have a look attached figure

In ERDAS imagine, very nice tool is given and its satellite specific. You can give require inputs from the metadata file and convent very easily DN to Refelection. For your ready reference, please have a look attached figure

Hi Nabajit,

When you buy yourself a student version of ENVI you will notice thet it has two pre-processing calibration routines included to exacly perform what you ask. The routines convert DN to reflectance for LANDSAT MSS and TM. Piece of cake to do this with ENVI.

Writing these routines yourself would cost you a lot of time and hence money. When you are still a student buy the stand-alone student version of ENVI for Windows or ENVI for Linux. They are pretty cheap and have the same functionality as the ENVI source codes which you can compile in IDL. Of course these ENVI verisons are "as is"!

Mind that calibration does not include atmospheric correction, That's another tackle in the game.

Good luck,

Roy

PS.:

Reference: http://rsi-envi.software.informer.com/

I noticed at the site above, that there are even free ENVI versions which you can download. So the cost is nil.

Thanks a lot @ Hammad Gilani and Frank Veroustraete.

Let me check out both the options first. If I face any problem then I will let u know once again.

Nabajit

ENVI can be downloaded from internet

Hi Nabajit,

There is a good help page for the open-source GRASS Gis Software package describing the fundamentals and also containing proper references to the subject.

http://grass.osgeo.org/grass65/manuals/i.landsat.toar.html

Sebastian

These references may help you

1.Estimation of land surface temperature–vegetation abundance relationship

for urban heat island studies, Weng et al. 2004, Remote Sensing of Environment 89 (2004) 467–483

2.Remote sensing image-based analysis of the relationship between

urban heat island and land use/cover changes, Chen et al. Remote Sensing of Environment 104 (2006) 133–146