NDLI: Estimation of boreal forest biomass from multi-temporal INSAR data by inverting an empirical backscattering-coherence model

Content Provider	IEEE Xplore Digital Library
Author	Pulliainen, J. Engdahl, M. Hallikainen, A.
Copyright Year	2002
Description	Author affiliation: Lab. of Space Technol., Helsinki Univ. of Technol., Finland (Pulliainen, J.; Engdahl, M.; Hallikainen, A.)
Abstract	The applicability of INSAR coherence observations for stem volume (biomass) retrieval is investigated by applying coherence data from 14 ERS-1 and ERS-2 C-band SAR image pairs. A novel technique for stem volume retrieval is developed based on the inversion of a non-linear empirical forest coherence model. The seasonal behavior of interferometric coherence, the accuracy of coherence modeling as well as the performance of stem volume retrieval is tested. The data set enables the study of stem volume retrieval performance under varying conditions and as a function of the number of images. The results indicate that the applicability of winter images with snow-covered terrain is superior to that of images obtained under summer conditions. The highest correlation coefficient between the estimated stem volume and the ground truth stem volume shows values as high as r=0.89 (obtained with two optimum images using separate training and testing data sets) and a percentage RMSE level of 48%.
Sponsorship	IEEE IEEE Geosci. & Remote Sensing Soc. Canadian Remote Sensing Soc. Univ. Waterloo Natural Resources Canada (NRCan) Canadian Space Agency (CSA) Environ. Canada NASA Nat. Oceanic & Atmos. Adm. (NOAA) Office of Naval Res.(ONR) Nat. Space Dev. Agency of Japan (NASDA) Nat. Polar-orbiting Environ. Satellite Syst. (NPOESS)
Starting Page	1786
Ending Page	1788
File Size	341542
Page Count	3
File Format	PDF
ISBN	078037536X
DOI	10.1109/IGARSS.2002.1026254
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomass Synthetic aperture radar interferometry Coherence Information retrieval Backscatter Space technology Image retrieval Materials testing Laboratories Volume measurement
Content Type	Text
Resource Type	Article

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