Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

Zhao, Panpan; Lu, Dengsheng; Wang, Guangxing; Wu, Chuping; Huang, Yujie; Yu, Shuquan

doi:10.3390/rs8060469

Public

Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

Shared by NobleBlocks on Jun 1, 2016 • 12:00 AM UTC

Authors:

Panpan Zhao

Dengsheng Lu

Guangxing Wang

Abstract

The data saturation problem in Landsat imagery is well recognized and is regarded as an important factor resulting in inaccurate forest aboveground biomass (AGB) estimation. However, no study has examined the saturation values for different vegetation types such as coniferous and broadleaf forests. ...

Subject

regression

aboveground biomass

data saturation

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