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Remote sensing-based forest health monitoring systems – case studies from Czechia and Slovakia Cover

Remote sensing-based forest health monitoring systems – case studies from Czechia and Slovakia

Open Access
|Nov 2018

References

  1. Banskota, A., Kayastha, N., Falkowski, M. J., Wulder, M. A., Froese, R. E., White, J. C., 2014: Forest Monitoring Using Landsat Time Series Data: A Review, Canadian Journal of Remote Sensing, 40:362–384.
  2. Barka, I., Bucha, T., 2010: Satellite based regional system for observation of forest response to global environmental changes. In: Horák, J., Halounová, L., Hlásny, T., Kusendová, D., Voženílek, V. (eds.): Advances in geoinformation technologies 2010. Ostrava, Technical University of Ostrava, p. 1–14.
  3. Barka, I., Bucha, T., 2017: Evaluation of spruce forests in Slovakia based on freely available remote sensing data with respect to forest management. Acta Environmentalica Universitatis Comenianae (Bratislava), 25:5–13.
  4. Bartold, M., 2016: Development of forest cover mask to monitor the health condition of forests in Poland using long-term satellite observations. Leśne Prace Badawcze/Forest Research Papers, 77:141–150.
  5. Bucha, T., 1999: Classification of tree species composition in Slovakia from satellite images as a part of monitoring forest ecosystems biodiversity. Acta Instituti Forestalis Zvolen, p. 65–84
  6. Bucha, T., Barka, I., 2014: Classification of forest damage in Slovakia. In: Bucha, T. (ed.): Satellites in a service of forests. Zvolen, National Forest Centre, p. 14–28 (in Slovak).
  7. Campbell, P. K. E., Rock, B. N., Martin, M. E., Neefus, C. D., Irons, J. R., Middleton, E. M., Albrechtova, J., 2004: Detection of initial damage in Norway spruce canopies using hyperspectral airborne data. Remote Sensing of Environments, 20:5557–5583.
  8. Coleman, T. L., Gudapati, L., Derrington, J., 1990: Monitoring forest plantations using Landsat Thematic Mapper data. Remote Sensing of Environment, 33:211–221
  9. Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F. et al., 2012: Sentinel–2: ESA’s Optical High-Resolution Mission for GMES Operational Services. Remote Sensing of Environment, 120:25–36.
  10. Ferretti, M., 1997: Forest Health Assessment and Monitoring – Issues for Consideration. Environmental Monitoring and Assessment, 48:45–72.
  11. Franklin, S., Lavigne, M., Wulder, M. A., Stenhouse, G. B., 2002: Change detection and landscape structure mapping using remote sensing. The Forestry Chronicle, 78:618–625.
  12. Frolking, S., Palace, M. W., Clark, D. B., Chambers, J. Q., Shugart, H. H., Hurtt, G. C., 2009: Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure. Journal of Geophysical Research, 114:3–27.
  13. Goldberg, M., Goodenough, D. G., Alvo, M., Karam, G. M., 1985: A hierarchical expert system for updating forestry maps with Landsat data. In: Proceedings of the IEEE, 73:1054–1063.
  14. Gross, C. P., 2000: Remote sensing application for forest health status assessment. 2nd edition, Commission of the European Communities, 216 p.
  15. Hais, M., Jonášová, M., Langhammer, J., Kučera, T., 2009: Comparison of two types of forest disturbance using multitemporal Landsat TM/ETM+ imagery and field vegetation data. Remote Sensing of Environment, 113:835–845.
  16. Hais, M., Wild, J., Berec, L., Brůna, J., Kennedy, R., Braaten, J., Brož, Z., 2016: Landsat Imagery Spectral Trajectories–Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance. Remote Sensing, 8:687.
  17. Healey, S. P., Cohen, W. B., Yang, Z., Kenneth Brewer, C., Brooks, E. B., Gorelick, N. et al., 2018: Mapping forest change using stacked generalization: An ensemble approach. Remote Sensing of Environment, 204:717–728.
  18. Hlásny, T., Barcza, Z., Fabrika, M., Balázs, B., Churkina, G., Pajtík, J. et al., 2012: Climate change impacts on growth and carbon balance of forests in Central Europe. Climate Research, 47:219–236.
  19. Hollstein, A., Segl, K., Guanter, L., Brell, M., Enesco, M., 2016: Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixels in Sentinel–2 MSI Images. Remote Sensing, 8: 666.
  20. Homolová, L., Janoutová, R., Malenovský, Z., 2016: Evaluation of Various Spectral Inputs for Estimation of Forest Biochemical and Structural Properties from Airborne Imaging Spectroscopy Data. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7:961–966.
  21. Jackson, R. D., 1983: Spectral Indices in n-Space. Remote Sensing of Environment, 13:409–421.
  22. Joria, E.P., Ahearn, S. A., 1997: A comparison of the Spot and landsat TM satellite systems for detecting gypsy moth defoliation in Michigan. Photogrametric Engineering & Remote Sensing, 57:1605–1612.
  23. Kennedy, R. E., Yang, Z., Cohen, W. B., 2010: Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr – Temporal segmentation algorithms. Remote Sensing of Environment, 114:2897–2910.
  24. Kopačková, V., Lhotáková, Z., Oulehle, F., Albrechtová, J., 2015: Assessing forest health via linking the geochemical properties of a soil profile with the biochemical parameters of vegetation. International Journal of Environmental Science and Technology, 12:1987–2002.
  25. Lambert, N. J., Ardo, J., Rock, B. N., Vogelmann, J. E., 1995: Spectral characterization and regression-based classification of forest damage in Norway spruce stands in the Czech Republic using Landsat Thematic Mapper data. International Journal of Remote Sensing, 16, 1261–1287.
  26. Leblanc, S., Chen, J. M., Fernandes, R., Deering, D., Conley, A., 2005: Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agricultural and Forest Meteorology, 129:187–207.
  27. Lhotáková, Z., Brodský, L., Kupková, L., Kopačková, V., Potůčková, M., Mišurec, J. et al., 2013: Detection of multiple stresses in Scots pine growing at postmining sites using visible to near-infrared spectroscopy. Environmental Science: Process & Impacts, 15:2004–2015.
  28. Lindner, M., Fitzgerald, J. B., Zimmermann, N. E., Reyer, C., Delzon, S., van der Maaten, E. et al., 2014: Climate change and European forests: What do we know, what are the uncertainties, and what are the implications for forest management? Journal of Environmental Management, 146:69–83.
  29. Majasalmi, T., Rautiainen, M., Stenberg, P., Rita, H., 2012: Optimizing the sampling scheme for LAI-2000 measurements in a boreal forest. Agricultural and Forest Meteorology, 154–155:38–43.
  30. Malenovský, Z., Homolová, L., Zurita-Milla, R., Lukeš, P., Kaplan, V., Hanuš, J. et al., 2013: Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer. Remote Sensing of Environment, 131:85–102.
  31. Meigs, G. W., Kennedy, R. E., Cohen, W. B., 2011: A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests. Remote Sensing of Environment, 115:3707–3718.
  32. Millar, C. I., Stephenson, N. L., 2015: temperate forest health in an era of emerging megadisturbance. Science, 349:823–826.
  33. Mišurec, J., Kopačková, V., Lhotáková, Z., Hanuš, J., Weyermann, J., Entcheva-Campbell, P., Albrechtova, J., 2012: Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status. Journal of Applied Remote Sensing, 6:063545.
  34. Mišurec, J., Kopačková, V., Lhotáková, Z., Campbell, P., Albrechtová, J., 2016: Detection of Spatio-Temporal Changes of Norway Spruce Forest Stands in Ore Mountains Using Landsat Time Series and Airborne Hyperspectral Imagery. Remote Sensing, 8:92.
  35. Pavlenda, P., Pajtík, J., Priwitzer, T., Capuliak, J., Konôpka, J., Krupová, D. et al., 2014: Monitoring of forests in Slovakia. Annual report of PMS Forests for 2013. Zvolen, NLC-LVÚ Zvolen, 143 p. (in Slovak)
  36. Pickell, P. D., Hermosilla, T., Frazier, R. J., Coops, N. C., Wulder, M. A., 2015: Forest recovery trends derived from Landsat time series for North American boreal forests, International Journal of Remote Sensing, 37:138–149.
  37. Račko, J., 1996: Photoaerial monitoring of forest health status. Lesnícke štúdie, 54, Bratislava, SAP, 66 p. (in Slovak).
  38. Ranson, K. J., Sun, G., Kovacs, K., Kharuk, V. I., 2014: Disturbance recognition in the boreal forest using radar and Landsat-7. Canadian Journal of Remote Sensing, 29:271–285.
  39. Reiche, J., Hamunyela, E., Verbesselt, J., Hoekman, D., Herold, M., 2018: Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. Remote Sensing of Environment, 204:147–161.
  40. Rock, B. N., Hoshizaki, T., Miller, J. R., 1988: Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline. Sensing of Environment, 24:109–127.
  41. Rock, B. N., Vogelmann, J. E., Williams, D. L., Vogelmann, A. F., Hoshizaki, T., 1986: Remote detection of forest damage. BioScience, 36:439–445.
  42. Roy, D. P., Wulder, M. A., Loveland, T. R., Woodcock, C.E., Allen, R. G., Anderson, M. C. et al., 2014: Landsat- 8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145:154–172.
  43. Santoro, M., Beer, C., Cartus, O., Schmullius, C., Shvidenko, A., McCallum, I. et al., 2011: Retrieval of growing stock volume in boreal forest using hypertemporal series of Envisat ASAR ScanSAR backscatter measurements. Remote Sensing of Environment, 115:490–507.
  44. Santoro, M., Cartus, O., Fransson, J. E. S., Shvidenko, A., McCallum, I., Hall, R. J. et al., 2013: Estimates of forest growing stock volume for Sweden, Central Siberia and Québec using Envisat Advanced Synthetic Aperture Radar backscatter data. Remote Sensing, 5:4503–4532.
  45. Schmullius, C., Thiel, C., Pathe, C., Santoro, M., 2015: Radar Time Series for Land Cover and Forest Mapping. In: Kuenzer C., Dech S., Wagner W. (eds.): Remote Sensing Time Series. Remote Sensing and Digital Image Processing, 22:323–356.
  46. Scheer, Ľ., 1997: Assessment of forest conditions employing two-phased satellite remote sensing. In: International Workshop: Application of Remote Sensing in European Forest Monitoring. Vienn, Austria 14th – 16th Oct. 1996, p. 337–346.
  47. Somogyi, Z., Koltay, A., Molnár, T., Móricz, N., 2018: Forest health monitoring system in Hungary based on MODIS products. Proceedings from 9th Hungarian GIS Conference and Exhibition, Debrecen, p. 325–330.
  48. Szekielda, K. H., 1988: Satellite monitoring of the Earth. John Willey & Sons, 326 p.
  49. Thurner, M., Beer, C., Santoro, M., Carvalhais, N., Wutzler, T., Schepaschenko, D. et al., 2014: Carbon stock and density of boreal and temperate forests. Global Ecology and Biogeography, 23:297–310.
  50. Wulder, M. A., Dymond, C. C., Coops, N. C., Butson, C. R., 2008: Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring. Remote Sensing of Environment, 112:2729–2740.
  51. Wulder, M. A., Masek, J. G., Cohen, W. B., Loveland, T. R., Woodcock, C. E., 2012: Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment, 122:2–10.
  52. Zhu, Z., Woodcock, C. E., 2012: Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment, 118:83–94.
  53. Zhu, Z., Woodcock, C. E., 2014: Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change. Remote Sensing of Environment, 152:217–234.
  54. Zhu, Z., Wang, S., Woodcock, C.E., 2015: Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images. Remote Sensing of Environment, 159:269–277.
DOI: https://doi.org/10.1515/forj-2017-0051 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 259 - 275
Published on: Nov 21, 2018
Published by: National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Ivan Barka, Petr Lukeš, Tomáš Bucha, Tomáš Hlásny, Radim Strejček, Marek Mlčoušek, Štěpán Křístek, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.