Carbon stock in forest aboveground biomass – comparison based on Landsat data

Vilém Pechanec; Filip Stržínek; Jan Purkyt; Lenka Štěrbová; Pavel Cudlín

doi:10.1515/forj-2017-0014

Abstract

The objective of this study was to verify a possibility of the assessment of carbon stock above all in forest aboveground biomass in the area of Czech Republic based on Landsat data and terrestrial mapping of land cover. Landsat 7 ETM+ data and method based on vegetation index ND45 were used. Simultaneously the aboveground carbon stock was assessed by expert based estimations of carbon in aboveground biomass in the various classes of landscape cover, derived from Corine Land Cover 2012 data. By comparison of results obtaining by both methods for the whole investigated area in the Czech Republic the differences reached only 4.68% and for forest stands 7.19%. The results of aboveground carbon stock based on the Landsat 7 ETM+ data did not differ distinctly from the assessment of carbon stock for individual classes of land cover for both vegetation cover of the Czech Republic and forest stands.

References

Awange, J., Kyalo Kiema, J. B., 2013: Environmental geoinformatics. Monitoring and management. New York, Springer, 533 p.10.1007/978-3-642-34085-7
Search in Google Scholar Back to article
Brown, S., Schroeder, P. E., 1999: Spatial patterns of aboveground production and mortality of woody biomass for eastern US forests. Ecological Applications, 9:968-980.10.1890/1051-0761(1999)009[0968:SPOAPA]2.0.CO;2
Search in Google Scholar Back to article
Brown, S., 2002: Measuring carbon in forests: current status and future challenges. Environmental Pollution, 116:363-372.10.1016/S0269-7491(01)00212-3
Search in Google Scholar Back to article
Chytrý, M., Kučera, T., Kočí, M., Grulich, V., Lustyk, P. (eds.), 2010: Katalog biotopů České republiky. 2. ed. Praha, Agentura ochrany přírody a krajiny ČR, 445 p.
Search in Google Scholar Back to article
Coomes, D. A., Allen, R. B., Scott, N. A., Goulding, C., Beets, P., 2002: Designing systems to monitor carbon stocks in forests and shrublands. Forest Ecology and Management, 164:89-108.10.1016/S0378-1127(01)00592-8
Search in Google Scholar Back to article
Cruickshank, M. M., Tomlinson, R. W., Trew, S., 2000: Application of CORINE land-cover mapping to estimate carbon stored in the vegetation of Ireland. Journal of Environmental Management, 58:269-287.10.1006/jema.2000.0330
Search in Google Scholar Back to article
Cudlín, P., Seják, J., Pokorný, J., Albrechtová, J., Bastian, O., Marek, M., 2013: Forest ecosystem services under climate change and air pollution. In: Matyssek, R. et al. (eds.): Climate Change, Air Pollution and Global Challenges. Oxford, Elsevier, p. 521-546.10.1016/B978-0-08-098349-3.00024-4
Search in Google Scholar Back to article
Field, Ch. B., Randerson, J. T., Malmstrom, C. M., 1995: Global net primary production: Combining ecology and remote sensing. Remote Sensing of Environment, 51:74-88.10.1016/0034-4257(94)00066-V
Search in Google Scholar Back to article
Gibbs, H. K., Brown, S., Niles, J. O., Foley, J. A., 2007: Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters, 2:045023, 13 p.10.1088/1748-9326/2/4/045023
Search in Google Scholar Back to article
Goodenough, D. G., Chen, H., Dyk, A., Li, J., 2005: Multisensor data fusion for aboveground carbon estimation. Proc. XXVIIIth General Assembly of the International Union of Radio Science (URSI), New Delhi, 400:1-4.
Search in Google Scholar Back to article
Hunt Jr.,E. R., Fahnestock, J. T., Kelly, R. D., Welker, J. M., Reiners, W. A., Smith, W. K., 2002: Carbon Sequestration from Remotely-Sensed NDVI and Net Ecosystem Exchange. In: Muttiah, R. S. (ed.): From laboratory spectroscopy to remotely sensed spectra of terrestrial ecosystems. Amsterdam, Springer, p. 161-174.10.1007/978-94-017-1620-8_8
Search in Google Scholar Back to article
Iizuka, K., Tateishi, R., 2015: Estimation of CO2 sequestration by the forests in Japan by discriminating precise tree age category using remote sensing techniques. Remote Sensing, 7:15082-15113.10.3390/rs71115082
Search in Google Scholar Back to article
Jenkins, J. C., Chojnacky, D. C., Heath, L. S., Birdsey, R. A., 2004: Comprehensive database of diameter-based biomass regressions for North American tree species. Newtown Square, PA, U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 45 p.10.2737/NE-GTR-319
Search in Google Scholar Back to article
Kareiva, P., Tallis, H., Ricketts, T. H., Daily, G. C., Polasky, S., 2011: Natural capital. Theory and practice of mapping ecosystem services. Oxford, University Press, 357 p.10.1093/acprof:oso/9780199588992.001.0001
Search in Google Scholar Back to article
Kuldeep, P., 2011: Forest carbon management using satellite remote sensing techniques. A case study of Sagar district (MP). E-International Scientific Research Journal, 3:335-348.
Search in Google Scholar Back to article
Liang, S., Li, X., Wang, J., 2012: Advanced remote sensing. Amsterdam, Boston, Academic Press, 799 p.
Search in Google Scholar Back to article
Machar, I., Simon, J., Rejšek, K., Pechanec, V., Brus, J., Kilianová, H., 2016: Assessment of forest management in protected areas based on multidisciplinary research. Forests, 7:285, 16 p.10.3390/f7110285
Search in Google Scholar Back to article
Main-Knorn, M., Moisen, G. G., Healey, S. P., Keeton, W. S., Freeman, E. A., Hostert, P., 2011. Evaluating the remote sensing and inventory-based estimation of biomass in the Western Carpathians. Remote Sensing, 3:1427-1446.10.3390/rs3071427
Search in Google Scholar Back to article
Mandal, R. A., van Laake, P., 2005: Carbon sequestration in community forests: an eligible issue for CDM (A case study of Nainital, India). Banko Janakari, 15:53-61.10.3126/banko.v15i2.353
Search in Google Scholar Back to article
Marek, M. V. (ed.), 2011: Uhlík v ekosystémech České republiky v měnícím se klimatu. Praha, Academia, 253 p.
Search in Google Scholar Back to article
Muttiah, R. S. (ed.), 2002: From laboratory spectroscopy to remotely sensed spectra of terrestrial ecosystems. Amsterdam, Springer, 296 p.10.1007/978-94-017-1620-8
Search in Google Scholar Back to article
NCA CR, 2014: Habitat mapping layer [electronic database]. Version 2014, Prague, Nature conservation agency of the Czech Republic.
Search in Google Scholar Back to article
Oulehle, F., Evans, C. D., Hofmeister, J., Krejci, R., Tahovska, K., Persson, T., Cudlin, P. et al., 2011: Major changes in forest carbon and nitrogen cycling caused by declining sulphur deposition. Global change Biology, 17:3115-3129.10.1111/j.1365-2486.2011.02468.x
Search in Google Scholar Back to article
Pachavo, G., Murwira, A., 2014: Remote sensing net primary productivity (NPP) estimation with the aid of GIS modelled shotwave radiaton (SWR) in a Southern African Savanna. International Journal of Applied Earth Observation and Geoinformation, 30:217-226.10.1016/j.jag.2014.02.007
Search in Google Scholar Back to article
Patenaude, G., Milne, R., Dawson, T. P., 2005: Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol. Environmental Science and Policy, 8:161-178.10.1016/j.envsci.2004.12.010
Search in Google Scholar Back to article
Pechanec, V., Vavra, A., Hovorkova, M., Brus, J., Kilianova, H., 2014: Analyses of moisture parameters and biomass of vegetation cover in southeast Moravia. International Journal of Remote Sensing, 35:967-987.10.1080/01431161.2013.875236
Search in Google Scholar Back to article
Ponce-Hernandez, R., 2004: Assessing carbon stocks and modelling winwin scenarios of carbon sequestration through land use changes. Rome, Food and Agriculture Organization of the United Nations, 156 p.
Search in Google Scholar Back to article
Sanga-Ngoie, K., Iizuka, K., Kobayashi, S., 2012: Estimating CO2 sequestration by forests in Oita Prefecture, Japan, by combining LANDSAT ETM+ and ALOS satellite remote sensing data. Remote Sensing, 4:3544-3570.10.3390/rs4113544
Search in Google Scholar Back to article
Seják, J., Dejmal, I., Petříček, V., Cudlín, P., Míchal, I., Černý, K. et al., 2003: Hodnocení a oceňování biotopů České republiky. Praha, Český ekologický ústav, MŽP, 422 p.
Search in Google Scholar Back to article
Shippert, P., 2013: Digital number, radiance, and reflectance [online] [cit. 2015-06-10]. Available from: http://www.harrisgeospatial.com/Home/NewsUpdates/TabId/170/ArtMID/735/ArticleID/13592/Digital-Number-Radiance-and-Reflectance.aspx
Search in Google Scholar Back to article
Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J. et al. (eds.), 2013: Climate change: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. Available by http://www.climatechange2013.org/images/report/WG1AR5_TS_FINAL.pdf
Search in Google Scholar Back to article
Šímová, P., Černý, M., Cienciala, E., Apltauer, J., Kučerová, J., Beranová, J. et al., 2009: A methodology for classifying aerial photographs within the Czech- Terra landscape inventory system: a new approach to generating data for landscape analyses. Journal of Landscape Studies, 2:43-55.
Search in Google Scholar Back to article
Stará, L., Matějka, K., Cudlín, P., Bodlák, L., Pokorný, J., Středa, T. et al., 2011: Zásoby uhlíku ve vegetaci České republiky a modelová uhlíková bilance krajiny. In: Marek, M. V. (ed.): Uhlík v ekosystémech České republiky v měnícím se klimatu. Praha, Academia, p. 189-210.
Search in Google Scholar Back to article
Vašíček, J., 2015: Hlavní výstupy NIL 2. [online]. Available from: http://eagri.cz/public/web/file/435678/
Search in Google Scholar Back to article
Vicharnakorn, P., Shrestha, R. P., Nagai, M., Salam, A. P., Kiratiprayoon, S., 2014: Carbon stock assessment using remote sensing and forest inventory data in Savannakhet, Lao PDR. Remote Sensing, 6:5452-5479.10.3390/rs6065452
Search in Google Scholar Back to article
Zhang, X., Zhao, Y., Ashton, M. S., Lee, X., 2012: Methods of measuring carbon in forests. In: Ashton, M. S., Tyrrell, M. L., Spalding, D., Gentry, G. (eds.): Managing forest carbon in a changing climate. Amsterdam, Springer, p. 139-164.10.1007/978-94-007-2232-3_7
Search in Google Scholar Back to article
Zheng, D., Heath, L. S., Ducey, M. J., 2008: Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA. Journal of Applied Remote Sensing, 2:021502, 18 p.10.1117/1.2940686
Search in Google Scholar Back to article
Zhu, X., Li, D., 2014: Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 102:222-231.10.1016/j.isprsjprs.2014.08.014
Search in Google Scholar Back to article

Carbon stock in forest aboveground biomass – comparison based on Landsat data

Abstract

Paradigm

My account