Title :
Automatic Model-Based Estimation of Boreal Forest Stem Volume From Repeat Pass C-band InSAR Coherence
Author :
Askne, Jan I H ; Santoro, Maurizio
Author_Institution :
Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg
Abstract :
C-band repeat pass interferometric synthetic aperture radar coherence can provide high-accuracy estimates of boreal forest stem volume in spite of environmental dependence. Typically, the retrieval methods require a data set of in situ measurements for training the model linking coherence to stem volume. The drawback is the need for such data and the incapacity to take into account spatial variations of environmental conditions. Here, we demonstrate a model training method that does not require reference data. For the investigated case, the relative root mean square error of stem volume is 18% or as good as obtained using the traditional training method with in situ data.
Keywords :
remote sensing by radar; synthetic aperture radar; vegetation; automatic model-based estimation; boreal forest stem volume; in situ measurements; interferometric synthetic aperture radar; radar coherence; repeat pass C-band; root mean square error; spatial variations; Backscatter; Coherence; Decorrelation; Information retrieval; Life estimation; Remote sensing; Space technology; Synthetic aperture radar interferometry; Vegetation; Volume measurement; Coherence; European Remote Sensing (ERS); forestry; interferometry; stem volume; synthetic aperture radar;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2008.2009764