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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Veröffentlicht in:	Environmental research letters Jg. 15; H. 9; S. 95003 - 95019
Hauptverfasser:	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
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.09.2020
Schlagworte:	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-Zugang:	Volltext
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