Please find enclosed an interesting relevant work...

Please find enclosed an interesting relevant work...

Hi Rendana,

Soil moisture is closely related to the surface temperature (Ts) and fractional vegetation cover(Fr). Ts is estimated from the infrared sensors onboard LandSat. Fr is calculated as the square of NVDI (the Normalized Difference Vegetation Index).

Soil moisture is not determined analytically as a function of Ts and Fr. Instead, it is estimated by a precalculated corresponding relationship between soil moisture and paired Ts and Fr.

Perhaps this paper could answer your question in detail. Article Using Landsat and NOAA Satellites on Soil Moisture Mapping a...

Hope it helps!

Yours,

Yongbo

SMI = ( LST max - LST ) / (LST max - LST min)

where LST max = m1 * NDVI + c1

LST min = m2 * NDVI + c2

u better refer the attached paper...

:)

Article ASSESSMENT OF SURFACE SOIL MOISTURE THROUGH CLASSICAL METHOD...

Would you please more explain method below:

SMI = ( LST max - LST ) / (LST max - LST min)

where LST max = m1 * NDVI + c1

LST min = m2 * NDVI + c2

Thank you for all of you that have answered my question. According to formula above, how to get variable m and c? for LSTmax and LSTmin

USE ENERGY BALANCE APPROACH FOR ACCURATE ONE

Please provide more insight on the approaches, above.

Cheers

I recommend Anoop's answer

Best Regards

LST = the land surface temperature

NVDI =the Normalized Difference Vegetation Index

SMI = ( LST max - LST ) / (LST max - LST min)

where LST max = m1 * NDVI + c1

LST min = m2 * NDVI + c2

regards