24 June 2017 Comparison of forest aboveground biomass estimates from passive and active remote sensing sensors over Kayar Khola watershed, Chitwan district, Nepal
Waqas A. Qazi, Shahbaz Baig, Hammad Gilani, Mirza Muhammad Waqar, Ashwin Dhakal, Ahmad Ammar
Author Affiliations +
Abstract
We use passive optical high-resolution GeoEye-1 imagery and active synthetic aperture radar (SAR) Advanced Land Observing Satellite (ALOS-1) phased array type L-band synthetic aperture radar (PALSAR) L-band horizontal–horizontal-polarization imagery to estimate forest aboveground biomass (AGB) of the tropical mountainous forest test site in Kayar Khola watershed, Chitwan district, Nepal. Object-based tools were used to delineate tree crowns from the orthorectified pan-sharpened GeoEye-1 optical imagery. AGB modeling with crown projection area extracted from the optical imagery shows a good linear relationship with R2=0.76. The terrain-corrected, radiometrically calibrated, and speckle-filtered ALOS-1 PALSAR backscatter image was utilized for AGB modeling; the nonlinear modeling of AGB with the SAR backscatter (dB) shows R2=0.52. The validation R2 values for AGB estimates from GeoEye-1 and ALOS-1 PALSAR are 0.83 and 0.44, respectively. The direct comparison of AGB estimates from both sensors is made possible by the utilization of the same set of ground survey points for both training and validation of the statistical models for both datasets. The final AGB output maps from both sensors show that the spatial patterns of AGB are in reasonable agreement at lower elevation, while SAR seems to underestimate AGB values as compared with optical-based estimates in the higher elevation zones.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2017/$25.00 © 2017 SPIE
Waqas A. Qazi, Shahbaz Baig, Hammad Gilani, Mirza Muhammad Waqar, Ashwin Dhakal, and Ahmad Ammar "Comparison of forest aboveground biomass estimates from passive and active remote sensing sensors over Kayar Khola watershed, Chitwan district, Nepal," Journal of Applied Remote Sensing 11(2), 026038 (24 June 2017). https://doi.org/10.1117/1.JRS.11.026038
Received: 17 February 2017; Accepted: 7 June 2017; Published: 24 June 2017
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Cited by 13 scholarly publications.
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KEYWORDS
Sensors

Synthetic aperture radar

Biological research

Phased array optics

Active remote sensing

Active sensors

Remote sensing

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