NDLI: Applying microwave radiation response depth to validate soil moisture retrieved from AMSR-E data

Content Provider	IEEE Xplore Digital Library
Author	Tao Zhang Lixin Zhang Lingmei Jiang Shaojie Zhao Jun Liu
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Remote Sensing Sci., Jointly Sponsored by Beijing Normal Univ., Beijing, China (Tao Zhang; Lixin Zhang; Lingmei Jiang; Shaojie Zhao; Jun Liu)
Abstract	Penetrability is one of the greatest advantages of microwave remote sensing over other remote sensing techniques. Estimating the sensing depth of passive microwave remote sensing is meaningful for simulation of satellite signals and validation of land surface parameters. In this paper, microwave radiation response depth (MRRD) was proposed to describe the thickness of the soil layer, within which variations in soil moisture can significantly affect the emitted radiation. Then, a statistical model for estimating MRRD was developed by regression analysis. This model can estimate the MRRD using four parameters, which are soil moisture, soil temperature, frequency, and soil specific surface area. For validation, a controlled field experiment was performed using a truck-mounted multi-frequency microwave radiometer (TMMR) at Baoding, Hebei province, China. The accuracy of the statistical model, in terms of root mean square error (rmse), was approximately 0.54 cm for the available experimental data at the frequency of 6.925, 10.65, and 18.7 GHz. Finally, the statistical model was applied into soil moisture validation. Taking the Global Land Data Assimilation Systems (GLDAS) product as the measurements, we validated the soil moisture retrieved from advanced microwave scanning radiometer-earth observing system (AMSR-E) data. The measured soil moisture obtained from an empirical depth and MRRD were both used to comparison. The rmse between soil moisture retrieved and measured is 0.060 and 0.047 $cm^{3}/cm^{3}$ for empirical depth and MRRD based method, respectively. These results have shown that it is more reasonable to considered MRRD than an empirical depth in soil moisture validation.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2704
Ending Page	2707
File Size	337636
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Microwave radiometry Soil measurements Microwave theory and techniques Microwave measurement Moisture measurement validation Microwave radiation response depth (MRRD) soil moisture statistical model
Content Type	Text
Resource Type	Article

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