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Improving the Airborne Remote Sensing of Soil Moisture: Estimating Soil Effective Temperature (2008)
BibTeX
@MISC{O’neill08improvingthe,
author = {Paul M. O’neill and Remy Dehaan and Jeffrey P. Walker and Iain Hume},
title = {Improving the Airborne Remote Sensing of Soil Moisture: Estimating Soil Effective Temperature},
year = {2008}
}
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Abstract
Obtaining measurements of the near-surface soil water content from passive microwave observations requires knowledge of the soil effective temperature, which is a function of the soil temperature and moisture profiles. Detailed information on these profiles is not available from airborne remote sensing, but the effective temperature can be estimated via thermal infrared observations of the land surface. Current estimation techniques were de-veloped for bare soil only, and do not account for the effects of vegetation. We have per-formed a simulation study which investigates the influences of vegetation and intra-day soil temperature and moisture variations. We find that, unless vegetation is taken into ac-count, the so-called ‘C parametrisation ’ performs poorly for leaf area index values &3. We introduce a technique that models the intra-day variations in the ratio between the effec-tive and surface temperatures. This technique performs particularly well if a term for the near-surface soil moisture is included and vegetation information in available. 1
Keyphrases
airborne remote sensing estimating soil effective temperature soil moisture vegetation information intra-day soil temperature soil effective temperature land surface leaf area index intra-day variation effective temperature so-called parametrisation performs moisture profile current estimation technique simulation study soil temperature surface temperature near-surface soil water content thermal infrared observation bare soil near-surface soil moisture passive microwave observation moisture variation
