Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data

P Zhao, D Lu, G Wang, L Liu, D Li, J Zhu… - International Journal of …, 2016 - Elsevier
In remote sensing–based forest aboveground biomass (AGB) estimation research, data
saturation in Landsat and radar data is well known, but how to reduce this problem for
improving AGB estimation has not been fully examined. Different vegetation types have their
own species composition and stand structure, thus they have different data saturation values
in Landsat or radar data. Optical and radar data also have different characteristics in
representing forest stand structures, thus effective use of their features may improve AGB …

Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data.

ZPP Zhao PanPan, LDS Lu DengSheng… - 2016 - cabidigitallibrary.org
In remote sensing-based forest aboveground biomass (AGB) estimation research, data
saturation in Landsat and radar data is well known, but how to reduce this problem for
improving AGB estimation has not been fully examined. Different vegetation types have their
own species composition and stand structure, thus they have different data saturation values
in Landsat or radar data. Optical and radar data also have different characteristics in
representing forest stand structures, thus effective use of their features may improve AGB …
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