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Airborne SAR monitoring of tree growth in a coniferous plantation

Airborne SAR monitoring of tree growth in a coniferous plantation
Airborne SAR monitoring of tree growth in a coniferous plantation
This paper examines three empirically based methods of monitoring forest growth between 1991 and 2000 from airborne synthetic aperture radar (SAR). In the first method, height change and volume change between 1991 and 2000 were estimated from the mean L-band stand backscatter difference between the two dates. Height change and volume change over the 9-year period were estimated with an accuracy of 0.23m and 15m(3) ha(-1), respectively, when the stands were below saturation point for the first date. The accuracy of the results was lower for stands beyond saturation in both data sets. In the second method, the height change is calculated from the estimated stand height in 2000 minus the estimated stand height in 1991. The second method produced poorer results than the first method, but better results than predicted by the error propagation equation. The difference between the observed accuracy and the expected error (based on the error propagation equation) appears to be due to a systematic bias in both the 1991 and 2000 estimates, as the residuals are correlated for stands below 20 years old (r=0.71 for stand volume residuals). The third experiment investigates the utility of data from two dates to classify the stands into three age classes. The results show that, with two images separated by 9 years, 85% of stands were correctly classified compared with 69% for a single date L-HV image.
0143-1161
3873-3889
Rowland, C.S.
c12264d0-1cea-4946-a32d-30a3f782cf47
Balzter, H.
83ff0523-e435-49a1-bb6f-566b1d416247
Dawson, T.P.
e85a1b83-5770-4fcb-bc16-c09338b40e19
Luckman, A.
964eae91-8877-466b-b230-63a418effbfe
Patenaude, G.
0b7c2967-ddf0-49ed-935c-a58800b5c132
Skinner, L.
d488ba2d-40d7-43e9-9bf2-8d798454f76f
Rowland, C.S.
c12264d0-1cea-4946-a32d-30a3f782cf47
Balzter, H.
83ff0523-e435-49a1-bb6f-566b1d416247
Dawson, T.P.
e85a1b83-5770-4fcb-bc16-c09338b40e19
Luckman, A.
964eae91-8877-466b-b230-63a418effbfe
Patenaude, G.
0b7c2967-ddf0-49ed-935c-a58800b5c132
Skinner, L.
d488ba2d-40d7-43e9-9bf2-8d798454f76f

Rowland, C.S., Balzter, H., Dawson, T.P., Luckman, A., Patenaude, G. and Skinner, L. (2008) Airborne SAR monitoring of tree growth in a coniferous plantation. International Journal of Remote Sensing, 29 (13), 3873-3889. (doi:10.1080/01431160801891796).

Record type: Article

Abstract

This paper examines three empirically based methods of monitoring forest growth between 1991 and 2000 from airborne synthetic aperture radar (SAR). In the first method, height change and volume change between 1991 and 2000 were estimated from the mean L-band stand backscatter difference between the two dates. Height change and volume change over the 9-year period were estimated with an accuracy of 0.23m and 15m(3) ha(-1), respectively, when the stands were below saturation point for the first date. The accuracy of the results was lower for stands beyond saturation in both data sets. In the second method, the height change is calculated from the estimated stand height in 2000 minus the estimated stand height in 1991. The second method produced poorer results than the first method, but better results than predicted by the error propagation equation. The difference between the observed accuracy and the expected error (based on the error propagation equation) appears to be due to a systematic bias in both the 1991 and 2000 estimates, as the residuals are correlated for stands below 20 years old (r=0.71 for stand volume residuals). The third experiment investigates the utility of data from two dates to classify the stands into three age classes. The results show that, with two images separated by 9 years, 85% of stands were correctly classified compared with 69% for a single date L-HV image.

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Published date: 2008

Identifiers

Local EPrints ID: 64721
URI: http://eprints.soton.ac.uk/id/eprint/64721
ISSN: 0143-1161
PURE UUID: b1b22cca-f58c-42e1-ab71-555d4bff61ea

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Date deposited: 09 Jan 2009
Last modified: 13 Mar 2019 20:21

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