Advanced search
Publication Cover
Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 43, 2017 - Issue 1
Submit an article Journal homepage
707
Views
36
CrossRef citations to date
0
Altmetric
Original Articles

Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA

Ram K. DeoDepartment of Forest Resources, University of Minnesota, 1530 Cleveland Ave. North, St. Paul, MN55108, USACorrespondence[email protected]
,
Matthew B. RussellDepartment of Forest Resources, University of Minnesota, 1530 Cleveland Ave. North, St. Paul, MN55108, USA
,
Grant M. DomkeNorthern Research Station, Forest Inventory and Analysis, USDA Forest Service, 1992 Folwell Ave., St. Paul, MN55108, USA
,
Christopher W. WoodallNorthern Research Station, Forest Inventory and Analysis, USDA Forest Service, 1992 Folwell Ave., St. Paul, MN55108, USA
,
Michael J. FalkowskiDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO80583, USA
&
Warren B. CohenPacific Northwest Research Station, USDA Forest Service, 3200 SW Jefferson Way, Corvallis, OR97331, USA
Pages 28-47 | Received 18 Feb 2016, Accepted 14 Oct 2016, Published online: 21 Dec 2016

Citations (36)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Bina Thapa, Peter T. Wolter, Brian R. Sturtevant & Philip A. Townsend. (2020) Reconstructing past forest composition and abundance by using archived Landsat and national forest inventory data. International Journal of Remote Sensing 41:10, pages 4022-4056.
Read now

Articles from other publishers (35)

Tyler S Gifford, John M Zobel, Scott C Hillard & Christopher B Edgar. (2023) Comprehensive review and evaluation of whole stand volume yield models for the aspen forest type in Minnesota, USA. Forestry 96:4, pages 561-574.
Crossref
Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan & Seifu A. Tilahun. (2023) Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia. Hydrology 10:5, pages 110.
Crossref
Glenn M. Suir, Sam Jackson, Christina Saltus & Molly Reif. (2023) Multi-Temporal Trend Analysis of Coastal Vegetation Using Metrics Derived from Hyperspectral and LiDAR Data. Remote Sensing 15:8, pages 2098.
Crossref
Mengyu Liang, Laura Duncanson, Julie A. Silva & Fernando Sedano. (2023) Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat. Remote Sensing of Environment 284, pages 113367.
Crossref
George C Hurtt, Arlyn Andrews, Kevin Bowman, Molly E Brown, Abhishek Chatterjee, Vanessa Escobar, Lola Fatoyinbo, Peter Griffith, Maddie Guy, Sean P Healey, Daniel J Jacob, Robert Kennedy, Steven Lohrenz, Megan E McGroddy, Valeria Morales, Thomas Nehrkorn, Lesley Ott, Sassan Saatchi, Edil Sepulveda Carlo, Shawn P Serbin & Hanqin Tian. (2022) The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps. Environmental Research Letters 17:6, pages 063010.
Crossref
David C. Wilson, Ram K. Deo & Jennifer Corcoran. (2022) Assessment of Differential Forest Growth Following Disturbance in Minnesota, USA. Earth 3:1, pages 76-92.
Crossref
Julián Tijerín-Triviño, Daniel Moreno-Fernández, Miguel A. Zavala, Julen Astigarraga & Mariano García. (2022) Identifying Forest Structural Types along an Aridity Gradient in Peninsular Spain: Integrating Low-Density LiDAR, Forest Inventory, and Aridity Index. Remote Sensing 14:1, pages 235.
Crossref
José Manuel Fernández-Guisuraga, Susana Suárez-Seoane, Paulo M. Fernandes, Víctor Fernández-García, Alfonso Fernández-Manso, Carmen Quintano & Leonor Calvo. (2022) Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems. Forest Ecosystems 9, pages 100022.
Crossref
Saurabh Purohit, S. P. Aggarwal & N. R. Patel. (2021) Estimation of forest aboveground biomass using combination of Landsat 8 and Sentinel-1A data with random forest regression algorithm in Himalayan Foothills. Tropical Ecology 62:2, pages 288-300.
Crossref
Patrícia Lourenço. 2021. Forest Biomass - From Trees to Energy. Forest Biomass - From Trees to Energy.
Martin Queinnec, Piotr Tompalski, Douglas K. Bolton & Nicholas C. Coops. (2021) FOSTER—An R package for forest structure extrapolation. PLOS ONE 16:1, pages e0244846.
Crossref
Shingo Obata, Chris J. Cieszewski, Roger C. LoweIIIIII & Pete Bettinger. (2021) Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset. Remote Sensing 13:2, pages 218.
Crossref
Andrew J. Lister, Hans Andersen, Tracey Frescino, Demetrios Gatziolis, Sean Healey, Linda S. Heath, Greg C. Liknes, Ronald McRoberts, Gretchen G. Moisen, Mark Nelson, Rachel Riemann, Karen Schleeweis, Todd A. Schroeder, James Westfall & B. Tyler Wilson. (2020) Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory. Forests 11:12, pages 1364.
Crossref
Siriruk Pimmasarn, Nitin Kumar Tripathi, Sarawut Ninsawat & Nophea Sasaki. (2020) Applying LiDAR to Quantify the Plant Area Index Along a Successional Gradient in a Tropical Forest of Thailand. Forests 11:5, pages 520.
Crossref
Johannes H. Uhl & Stefan Leyk. (2020) Towards a novel backdating strategy for creating built-up land time series data using contemporary spatial constraints. Remote Sensing of Environment 238, pages 111197.
Crossref
Trung H. Nguyen, Simon D. Jones, Mariela Soto-Berelov, Andrew Haywood & Samuel Hislop. (2020) Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data. International Journal of Applied Earth Observation and Geoinformation 84, pages 101952.
Crossref
Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood & Samuel Hislop. (2019) Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review. Remote Sensing 12:1, pages 98.
Crossref
Hassan C David, David W MacFarlane, Sylvio Péllico Netto, Ana Paula Dalla Corte, Daniel Piotto, Yeda M M de Oliveira, Vinicius A Morais, Carlos R Sanquetta & Rorai P M Neto. (2019) Exploring coarse- to fine-scale approaches for mapping and estimating forest volume from Brazilian National Forest Inventory data. Forestry: An International Journal of Forest Research 92:5, pages 577-590.
Crossref
Joan E. Luther, Richard A. Fournier, Olivier R. van Lier & Mélodie Bujold. (2019) Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data. Remote Sensing 11:9, pages 1092.
Crossref
Luis Carrasco, Xingli Giam, Monica Papeş & Kimberly Sheldon. (2019) Metrics of Lidar-Derived 3D Vegetation Structure Reveal Contrasting Effects of Horizontal and Vertical Forest Heterogeneity on Bird Species Richness. Remote Sensing 11:7, pages 743.
Crossref
Franciel Eduardo Rex, Ana Paula Dalla Corte, Aline Bernarda Debastiani, Verônica Satomi Kazama & Carlos Roberto Sanquetta. (2018) USO DE DADOS LiDAR NA ESTIMATIVA DE VARIÁVEIS BIOFÍSICA NA AMAZÔNIA, SOB DIFERENTES RESOLUÇÕES ESPACIAIS. Nativa 6, pages 841.
Crossref
Wu Ma, Grant M Domke, Anthony W D’Amato, Christopher W Woodall, Brian F Walters & Ram K Deo. (2018) Using matrix models to estimate aboveground forest biomass dynamics in the eastern USA through various combinations of LiDAR, Landsat, and forest inventory data. Environmental Research Letters 13:12, pages 125004.
Crossref
Alís Novo-Fernández, Shannon Franks, Christian Wehenkel, Pablito M. López-Serrano, Matthieu Molinier & Carlos A. López-Sánchez. (2018) Landsat time series analysis for temperate forest cover change detection in the Sierra Madre Occidental, Durango, Mexico. International Journal of Applied Earth Observation and Geoinformation 73, pages 230-244.
Crossref
Trung Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood & Samuel Hislop. (2018) A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data. Remote Sensing 10:11, pages 1825.
Crossref
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas C. Coops, Geordie W. Hobart, Douglas K. Bolton, Piotr Tompalski & Christopher W. Bater. (2018) Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, pages 697-714.
Crossref
Zhiqi Yang, Jinwei Dong, Yuanwei Qin, Wenjian Ni, Guosong Zhao, Wei Chen, Bangqian Chen, Weili Kou, Jie Wang & Xiangming Xiao. (2018) Integrated Analyses of PALSAR and Landsat Imagery Reveal More Agroforests in a Typical Agricultural Production Region, North China Plain. Remote Sensing 10:9, pages 1323.
Crossref
Ram K Deo, Grant M Domke, Matthew B Russell, Christopher W Woodall & Hans-Erik Andersen. (2018) Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA. Environmental Research Letters 13:5, pages 055004.
Crossref
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas C. Coops, Geordie W. Hobart & Harold S.J. Zald. (2018) Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots. Remote Sensing of Environment 209, pages 90-106.
Crossref
Cong Xu, Justin Morgenroth & Bruce Manley. (2017) Mapping Net Stocked Plantation Area for Small-Scale Forests in New Zealand Using Integrated RapidEye and LiDAR Sensors. Forests 8:12, pages 487.
Crossref
Xiliang Ni, Chunxiang Cao, Yuke Zhou, Lin Ding, Sungho Choi, Yuli Shi, Taejin Park, Xiao Fu, Hong Hu & Xuejun Wang. (2017) Estimation of Forest Biomass Patterns across Northeast China Based on Allometric Scale Relationship. Forests 8:8, pages 288.
Crossref
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Geordie W. Hobart, Harold S. J. Zald & Nicholas C. Coops. (2017) A space-time data cube: Multi-temporal forest structure maps from landsat and lidar. A space-time data cube: Multi-temporal forest structure maps from landsat and lidar.
Wen Zhang, Baoxin Hu, Murray Woods & Glen Brown. (2017) Characterizing Forest Succession Stages for Wildlife Habitat Assessment Using Multispectral Airborne Imagery. Forests 8:7, pages 234.
Crossref
Hui Tao, Ying Nan & Zhi-Feng Liu. (2017) Spatiotemporal Patterns of Forest in the Transnational Area of Changbai Mountain from 1977 to 2015: A Comparative Analysis of the Chinese and DPRK Sub-Regions. Sustainability 9:6, pages 1054.
Crossref
Ram Deo, Matthew Russell, Grant Domke, Hans-Erik Andersen, Warren Cohen & Christopher Woodall. (2017) Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA. Remote Sensing 9:6, pages 598.
Crossref
David Gwenzi, Eileen Helmer, Xiaolin Zhu, Michael Lefsky & Humfredo Marcano-Vega. (2017) Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands. Remote Sensing 9:2, pages 123.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.