NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Soil Moisture Estimate Under Forest Using a Semi-Empirical Model at P-BandHere we present the result of a semi-empirical inversion model for soil moisture retrieval using the three backscattering coefficients: sigma(sub HH), sigma(sub VV) and sigma(sub HV). In this paper we focus on the soil moisture estimate and use the biomass as an ancillary parameter estimated automatically from the algorithm and used as a validation parameter, We will first remind the model analytical formulation. Then we will sow some results obtained with real SAR data and compare them to ground estimates.
Document ID
20150007754
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Truong-Loi, My-Linh
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Saatchi, Sassan
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Jaruwatanadilok, Sermsak
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 8, 2015
Publication Date
July 21, 2013
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Location: Melbourne
Country: Australia
Start Date: July 21, 2013
End Date: July 26, 2013
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Other
Keywords
soil moisture
radar sensing

Available Downloads

There are no available downloads for this record.
No Preview Available