Aboveground Biomass Protocol
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Committee on Earth Observation Satellites Working Group on Calibration and Validation Land Product Validation Subgroup Aboveground Woody Biomass Product Validation Good Practices Protocol Version 1.0 – 2021 Editors: Laura Duncanson, Mat Disney, John Armston, Jaime Nickeson, David Minor, Fernando Camacho Citation: Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., MacBean, N., McRoberts, R., Minor, D., Paul, K., Réjou-Méchain, M., Roxburgh, S., Williams, M., Albinet, C., Baker, T., Bartholomeus, H., Bastin, J.F., Coomes, D., Crowther, T., Davies, S., de Bruin, S., De Kauwe, M., Domke, G., Dubayah, R., Falkowski, M., Fatoyinbo, L., Goetz, S., Jantz, P., Jonckheere, I., Jucker, T., Kay, H., Kellner, J., Labriere, N., Lucas, R., Mitchard, E., Morsdorf, F., Naesset, E., Park, T., Phillips, O.L., Ploton, P., Puliti, S., Quegan, S., Saatchi, S., Schaaf, C., Schepaschenko, D., Scipal, K., Stovall, A., Thiel, C., Wulder, M.A., Camacho, F., Nickeson, J., Román, M., Margolis, H. (2021). Aboveground Woody Biomass Product Validation Good Practices Protocol. Version 1.0. In L. Duncanson, M. Disney, J. Armston, J. Nickeson, D. Minor, and F. Camacho (Eds.), Good Practices for Satellite Derived Land Product Validation, (p. 236): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/agb.001 Duncanson, L.1, Armston, J.1, Disney, M.2,3, Avitabile, V.4, Barbier, N.5, Calders, K.6, Carter, S.7, Chave, J.8, Herold, M.7, MacBean, N.9, McRoberts, R.10, Minor, D.1, Paul, K.11, Réjou-Méchain, M.5, Roxburgh, S.11, Williams, M.12,13, Albinet, C.14, Baker, T.15, Bartholomeus, H.7, Bastin, J.F.16, Coomes, D.17, Crowther, T.18, Davies, S.19, de Bruin, S.7, De Kauwe, M.20, Domke, G.21, Dubayah, R.1, Falkowski, M.22, Fatoyinbo, L.23, Goetz, S.24, Jantz, P.24, Jonckheere, I.25, Jucker, T.26, Kay, H.27, Kellner, J.28, Labriere, N.8, Lucas, R.27, Mitchard, E.12, Morsdorf, F.29, Næsset, E.30, Park, T.31, Phillips, O.L.14, Ploton, P.5, Puliti, S.32, Quegan, S.33, Saatchi, S.34, Schaaf, C.35, Schepaschenko, D.36, Scipal, K.13, Stovall, A.23, Thiel, C.37, Wulder, M.A.38, Camacho, F.39, Nickeson, J.23,40, Román, M.41, Margolis, H22. 1. Department of Geographical Sciences, University of Maryland, College Park, MD, USA 2. UCL Department of Geography, University College London, Gower Street, London, UK 3. NERC National Centre for Earth Observation (NCEO), UCL, Gower Street, London, UK 4. European Commission, Joint Research Centre, Ispra, Italy 5. AMAP, Univ Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier, France 6. CAVElab - Computational & Applied Vegetation Ecology, Dept. of Environment, Faculty of Bioscience Engineering, Ghent University, Belgium 7. Laboratory of Geo‐Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands 8. Laboratoire Evolution et Diversité Biologique, UMR 5174, CNRS, IRD, Université Paul Sabatier, Toulouse, France 9. Department of Geography, Indiana University, IN, USA 10. University of Minnesota College of Food, Agricultural and Natural Resource Sciences, Department of Forest Resources, MN, USA 11. CSIRO Land & Water, Canberra 2601, Australia 12. School of GeoSciences, University of Edinburgh, Edinburgh, UK 13. NERC National Centre for Earth Observation (NCEO), University of Edinburgh, Edinburgh, UK 14. European Space Agency, Frascati, Italy 15. School of Geography, University of Leeds, UK 16. TERRA, Teaching and Research Centre, Gembloux Agro Bio-Tech, University of Liège, Liège, Belgium 17. Department of Plant Sciences, University of Cambridge Conservation Research Institute, David Attenborough Building, Cambridge, UK 18. Department of Environmental System Science, ETH Zurich, Switzerland 19. Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington DC, USA 20. Climate Change Research Center, University of New South Wales, Australia 21. Northern Research Station, USDA Forest Service, USA 1 22. NASA Headquarters, 300 E Street SW, Washington DC, USA 23. NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, USA 24. School of Informatics, Computing, and Cyber Systems, Northern Arizona University, 1899 S San Francisco St, Flagstaff, AZ, USA 25. Food and Agriculture Organisation of the United Nations (FAO), viale delle Terme di Caracalla, 00153 Rome, Italy 26. School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol, UK 27. Department of Geography and Earth Science, Aberystwyth University, UK 28. Institute at Brown for Environment and Society and Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA 29. Department of Geography, University of Zurich (UZH), Switzerland 30. Norwegian University of Life Sciences (NMBU), Norway 31. NASA Ames Research Center, Mountain View, CA, USA 32. Norwegian Institute for Bioeconomy Research (NIBIO), Division of Forest and Forest Resources, National Forest Inventory, Høgskoleveien 8, 1433 Ås, Norway 33. School of Mathematics and Statistics, Hicks Building, University of Sheffield, Sheffield S3 7RH, UK 34. NASA JPL, 4800 Oak Grove Dr, Pasadena, CA, USA 35. School for the Environment, University of Massachusetts Boston, Boston, MA, USA 36. International Institute for Applied Systems Analysis, Laxenburg A-2361, Austria 37. German Aerospace Center (DLR), Institute for Data Science, Jena, Germany 38. Canadian Forest Service (Pacific Forestry Center), Natural Resources Canada, 506 West Burnside Road, Victoria, BC, Canada 39. Earth Observation Laboratory (EOLAB), Parc Cientific Universitat de Valencia, Valencia, Spain. 40. Science Systems and Applications, Inc., 10210 Greenbelt Rd, Lanham, MD, USA 41. Universities Space Research Association, 7178 Columbia Gateway Drive, Columbia, MD, USA We gratefully acknowledge the following expert reviewers whose comments resulted in substantial improvements to the document: Sebastien Bauwens, Masato Hayashi, Alex Held, Andrew Hudak, Nikolai Knapp, Stefan Maier, C. Patnaik, Paul Patterson, Ake Rosenqvist, Svetlana Saarela, Paul Montesano Chapter leads: Laura Duncanson (Chapter 1), Keryn Paul, Jerome Chave, Kim Calders (Chapter 2), Maxime Réjou-Méchain, John Armston (Chapter 3), Ron McRoberts and Stephen Roxburgh (Chapter 4), Mat Williams, Martin Herold, Sarah Carter, Natasha MacBean (Chapter 5), Valerio Avitabile (Chapter 6), Mat Disney, Laura Duncanson, John Armston (Chapter 7) 2 List of Revisions Version Revision Date Author 0.1 Draft for community 5th September, 2020 Duncanson, Armston, Disney et al. review 1.0 CEOS WGCV LPV and 5th March, 2021 Duncanson, Armston, Disney et al. community acceptance 3 Editor’s Note This document reflects the view of the biomass focus area within the CEOS WGCV Land Product Validation sub-group. This focus area provides the community involved in the production and validation of satellite- based woody aboveground biomass products with a forum for documenting accepted good practices in an open and transparent manner, that is scientifically defensible. This ‘title’ document (V1.0) has undergone review by remote sensing experts from across the globe. This represents the current state of knowledge for satellite biomass remote sensing and includes a summary of current knowledge and data gaps toward operational validation of products at a global scale. We note that currently (March, 2021), no globally representative, systematically collected reference system for biomass product validation is available. We make recommendations for new data collections specifically designed for this purpose, but acknowledge that these recommendations and the authorship for this document are biased toward tropical moist forests. While we attempt to make recommendations that are applicable to all ecosystems, we note that forest ecosystems are dynamic and structurally complex, and a single set of recommendations will not apply to all ecosystems. Additionally, existing reference datasets, such as National Forest Inventories (NFIs), provide critical data addressing many needs beyond the validation of biomass products. While our recommendations focus on ideal datasets for validation and inter-comparison at the plot and pixel scale, we stress that our recommendations may be impractical in some cases, and should not replace, but complement, existing datasets that are maintained by in-country organizations, such as NFIs. This document is published in advance of forthcoming biomass products from a new generation of lidar and SAR sensors (e.g. NASA’s GEDI, NASA-ISRO’s NISAR, ESA’s BIOMASS), and will undoubtedly be updated as we learn from the development and validation of these products. This protocol focuses on aboveground woody biomass stock, and thus future extensions are anticipated that may provide guidance on other biomass pools (e.g. non-woody), and on biomass change. It is therefore expected that this protocol document and recommendations will undergo subsequent regular iterations based on community feedback and scientific advancement. Finally, we gratefully acknowledge several expert reviewers whose thoughtful comments substantially improved this document. We welcome experts to participate in the ongoing improvement of this document and invite the broader community to make use of it for their research and applications related to woody biomass products derived from satellite data. All contributors will be recognized as such in the document and on the CEOS WGCV LPV website. Sincerely, The Editors, Laura Duncanson, University of Maryland,