N: 49.79 S: 26.52 E: -67.96 W: -126.46
Description
The NBCD 2000 (National Biomass and Carbon Dataset for the Year 2000) data set provides a high-resolution (30 m) map of year-2000 baseline estimates of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminous United States. This data set distributes, for each of 66 map zones, a set of six raster files in GeoTIFF format. There is a detailed README companion file for each map zone. There is also an ArcGIS shapefile (mapping_zone_shapefile.shp) with the boundaries of all the map zones. A mosaic image of biomass at 240 m resolution for the whole conterminous U.S. is also included.
Please read this important note regarding the differences of Version 2 from Version 1 of the NBCD 2000 data.
With Version 1, in some mapping zones, certain land cover types (in particular Shrubs, NLCD Type 52) were missing from and unaccounted for in modeled estimates because of a lack of reference data.
In Version 1, when landcover types were missing in the models, the model for the deciduous tree cover type was applied. While more woody vegetation was mapped, the authors think this had little effect on model performance as in most cases NLCD version 1 cover type was not a strong predictor of modeled estimates (See companion Mapping Zone Readme files).
In Version 2, after renewed modeling efforts and user feedback, these previously unaccounted for cover types are now included in modeled estimates.
All 66 mapping zones were updated with the previously unmapped land cover types now mapped. The authors recommend use of the new version for all analyses and will only support the updated version.
Development of the data set used an empirical modeling approach that combined USDA Forest Service Forest Inventory and Analysis (FIA) data with high-resolution InSAR data acquired from the 2000 Shuttle Radar Topography Mission (SRTM) and optical remote sensing data acquired from the Landsat ETM+ sensor. Three-season Landsat ETM+ data were systematically compiled by the Multi-Resolution Land Characteristics Consortium (MRLC) between 1999 and 2002 for the entire U.S. and were the foundation for development of both the USGS National Land Cover Dataset 2001 (NLCD 2001) and the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE). Products from both the NLCD 2001 (landcover and canopy density) and LANDFIRE (existing vegetation type) projects as well as topographic information from the USGS National Elevation Dataset (NED) were used within the NBCD 2000 project as spatial predictor layers for canopy height and biomass estimation. Forest survey data provided by the USDA Forest Service FIA program were made available to the project under a national Memorandum of Understanding. The response variables (canopy height and biomass) used in model development and validation were derived from the FIA database (FIADB). Production of the NLCD 2001 and LANDFIRE projects was based on a mapping zone approach in which the conterminous U.S. was split into 66 ecoregionally distinct mapping zones. This mapping zone approach was also adopted by the NBCD 2000 project.
Product Summary
Citation
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GENERAL DOCUMENTATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Carbon emissions from cropland expansion in the United States | Spawn, Seth A, Lark, Tyler J, Gibbs, Holly K | Biomass, Carbon | |
| Remote sensing of the terrestrial carbon cycle: A review of advances | Xiao, Jingfeng, Chevallier, Frederic, Gomez, Cecile, Guanter, Luis, Hicke, Jeffrey A., Huete, Alfredo R., Ichii, Kazuhito, Ni, Wenjian, Pang, Yong, Rahman, Abdullah F., Sun, Guoqing, Yuan, Wenping, Zhang, Li, Zhang, Xiaoyang | Biomass, Carbon | |
| Natural climate solutions for the United States | Fargione, Joseph E., Bassett, Steven, Boucher, Timothy, Bridgham, Scott D., Conant, Richard T., Cook-Patton, Susan C., Ellis, Peter W., Falcucci, Alessandra, Fourqurean, James W., Gopalakrishna, Trisha, Gu, Huan, Henderson, Benjamin, Hurteau, Matthew D., Kroeger, Kevin D., Kroeger, Timm, Lark, Tyler J., Leavitt, Sara M., Lomax, Guy, McDonald, Robert I., Megonigal, J. Patrick, Miteva, Daniela A., Richardson, Curtis J., Sanderman, Jonathan, Shoch, David, Spawn, Seth A., Veldman, Joseph W., Williams, Christopher A., Woodbury, Peter B., Zganjar, Chris, Baranski, Marci, Elias, Patricia, Houghton, Richard A., Landis, Emily, McGlynn, Emily, Schlesinger, William H., Siikamaki, Juha V., Sutton-Grier, Ariana E., Griscom, Bronson W. | Biomass, Carbon, Forest Composition/Vegetation Structure, Droughts, Land Use/Land Cover, Litter Characteristics, Forests, Primary Production | |
| An empirical, integrated forest biomass monitoring system | Kennedy, Robert E, Ohmann, Janet, Gregory, Matt, Roberts, Heather, Yang, Zhiqiang, Bell, David M, Kane, Van, Hughes, M Joseph, Cohen, Warren B, Powell, Scott, Neeti, Neeti, Larrue, Tara, Hooper, Sam, Kane, Jonathan, Miller, David L, Perkins, James, Braaten, Justin, Seidl, Rupert | Biomass, Carbon | |
| A spatial ensemble approach for broad-area mapping of land surface properties | Hooper, Sam, Kennedy, Robert E. | Biomass, Carbon | |
| Generation of large-scale moderate-resolution forest height mosaic with spaceborne repeat-pass SAR interferometry and lidar | Lei, Yang, Siqueira, Paul, Torbick, Nathan, Ducey, Mark, Chowdhury, Diya, Salas, William | Biomass, Carbon | |
| Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations | Santoro, Maurizio, Cartus, Oliver | Biomass, Carbon | |
| The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation | Collier, Nathan, Hoffman, Forrest M., Lawrence, David M., KeppelAleks, Gretchen, Koven, Charles D., Riley, William J., Mu, Mingquan, Randerson, James T. | Biomass, Carbon | |
| County-scale biomass map comparison: a case study for Sonoma, California | Huang, Wenli, Swatantran, Anu, Duncanson, Laura, Johnson, Kristofer, Watkinson, Dana, Dolan, Katelyn, O'Neil-Dunne, Jarlath, Hurtt, George, Dubayah, Ralph | Biomass, Carbon, Canopy Characteristics, Vegetation Cover | |
| Determination of the life cycle climate change impacts of land use and albedo change in algal biofuel production | Fortier, Marie-Odile P., Roberts, Griffin W., Stagg-Williams, Susan M., Sturm, Belinda S.M. | Biomass, Carbon | |
| Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery | Su, Yanjun, Ma, Qin, Guo, Qinghua | Biomass, Carbon | |
| How can mountaintop CO<SUB>2</SUB> observations be used to constrain regional carbon fluxes? | Lin, John C., Mallia, Derek V., Wu, Dien, Stephens, Britton B. | Biomass, Carbon | |
| Mapping forest structure and uncertainty in an urban area using leaf-off lidar data | Gu, Huan, Townsend, Philip A. | Biomass, Carbon | |
| Accounting for urban biogenic fluxes in regional carbon budgets | Hardiman, Brady S., Wang, Jonathan A., Hutyra, Lucy R., Gately, Conor K., Getson, Jackie M., Friedl, Mark A. | Biomass, Carbon | |
| Translating MC2 DGVM Results into Ecosystem Services for Climate Change Mitigation and Adaptation | Bachelet, Dominique, Ferschweiler, Kenneth, Sheehan, Timothy, Sleeter, Benjamin, Zhu, Zhiliang | Biomass, Carbon | |
| Using Landsat time-series and LiDAR to inform aboveground forest biomass baselines in northern Minnesota, USA | Deo, Ram K., Russell, Matthew B., Domke, Grant M., Woodall, Christopher W., Falkowski, Michael J., Cohen, Warren B. | Biomass, Carbon | |
| Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure mapping | Qi, Wenlu, Dubayah, Ralph O. | Biomass, Carbon | |
| High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance ... | Gu, Huan, Williams, Christopher A., Ghimire, Bardan, Zhao, Feng, Huang, Chengquan | Biomass, Carbon, Forest Composition/Vegetation Structure | |
| Managing Carbon on Federal Public Lands: Opportunities and Challenges in Southwestern Colorado | Dilling, Lisa, Kelsey, Katharine C., Fernandez, Daniel P., Huang, Yin D., Milford, Jana B., Neff, Jason C. | Biomass, Carbon | |
| A Semi-Automated Workflow Solution for Data Set Publication | Vannan, Suresh, Beaty, Tammy, Cook, Robert, Wright, Daine, Devarakonda, Ranjeet, Wei, Yaxing, Hook, Les, McMurry, Benjamin | Biomass, Carbon | |
| Variability of ecological and autotrophic host specificity in a mycoheterotrophic system: Pterospora andromedea and associated fungal and conifer hosts | Dowie, Nicholas J., Grubisha, Lisa C., Trowbridge, Steven M., Klooster, Matthew R., Miller, Steven L. | Biomass, Carbon | |
| An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California | M. Sleeter, Benjamin, 1 U.S. Geological Survey, Western Geographic Science Center; Tacoma, WA, USA;, Liu, Jinxun, Daniel, Colin, Frid, Leonardo, Zhu, Zhiliang | Biomass, Carbon | |
| Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA | Huang, Wenli, Swatantran, Anu, Johnson, Kristofer, Duncanson, Laura, Tang, Hao, ONeil Dunne, Jarlath, Hurtt, George, Dubayah, Ralph | Biomass, Carbon | |
| Review of forest above ground biomass inversion methods based on remote sensing technology | Qian, LIU, State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Le, YANG, Qinhuo, LIU, Jing, LI | Biomass, Carbon | |
| High-biomass forests of the Pacific Northwest: who manages them and how much is protected? | Krankina, Olga N., DellaSala, Dominick A., Leonard, Jessica, Yatskov, Mikhail | Biomass, Carbon |