A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA

This paper presents a prototype Carbon Monitoring System (CMS) developed to produce regionally unbiased annual estimates of aboveground biomass (AGB). Our CMS employed a bottom-up, two-step modeling strategy beginning with a spatially and temporally biased sample: project datasets collected and cont...

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Bibliographic Details
Published in:	Environmental research letters Vol. 15; no. 9; pp. 95003 - 95019
Main Authors:	Hudak, Andrew T, Fekety, Patrick A, Kane, Van R, Kennedy, Robert E, Filippelli, Steven K, Falkowski, Michael J, Tinkham, Wade T, Smith, Alistair M S, Crookston, Nicholas L, Domke, Grant M, Corrao, Mark V, Bright, Benjamin C, Churchill, Derek J, Gould, Peter J, McGaughey, Robert J, Kane, Jonathan T, Dong, Jinwei
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.09.2020
Subjects:	Algorithms Bias Biomass Carbon Climate models Commercial Off-The-Shelf (COTS) lidar Decision trees Elevation Estimates Forest Inventory and Analysis (FIA) Forest management Forestry Forests Landsat landsat image time series Landsat satellites Landscape LandTrendr Learning algorithms Lidar Machine learning Monitoring Monitoring systems National forests Remote sensing reporting Satellite imagery verification (MRV) United States > US
ISSN:	1748-9326, 1748-9326
Online Access:	Get full text
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