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References (81)
-
J. Bradley-Cook, R. Virginia (2018)
Landscape variation in soil carbon stocks and respiration in an Arctic tundra ecosystem, west GreenlandArctic, Antarctic, and Alpine Research, 50
-
S. Franklin, O. Ahmed (2017)
Object-based Wetland Characterization Using Radarsat-2 Quad-Polarimetric SAR Data, Landsat-8 OLI Imagery, and Airborne Lidar-Derived Geomorphometric VariablesPhotogrammetric Engineering and Remote Sensing, 83
-
A. Hartley, N. MacBean, G. Georgievski, S. Bontemps (2017)
Uncertainty in plant functional type distributions and its impact on land surface modelsRemote Sensing of Environment, 203
-
Meghan Halabisky, Chad Babcock, L. Moskal (2018)
Harnessing the Temporal Dimension to Improve Object-Based Image Analysis Classification of WetlandsRemote. Sens., 10
-
(2019)
The Authors. Remote Sensing in Ecology and Conservation -
Beth Cole, J. McMorrow, M. Evans (2014)
Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatlandIsprs Journal of Photogrammetry and Remote Sensing, 90
-
K. Moffett, W. Nardin, S. Silvestri, Chen Wang, S. Temmerman (2015)
Remote Sens -
K. Lees, T. Quaife, Rebekka Artz, M. Khomik, Joanna Clark (2018)
Potential for using remote sensing to estimate carbon fluxes across northern peatlands - A review.The Science of the total environment, 615
-
S. Rapinel, N. Rossignol, L. Hubert‐Moy, J. Bouzillé, A. Bonis (2018)
Mapping grassland plant communities using a fuzzy approach to address floristic and spectral uncertaintyApplied Vegetation Science, 21
-
J. Böhner, T. Selige (2006)
SAGA ? analysis and modelling applications. G�ttinger Geographische Abhandlungen 115 -
M. Hall-Beyer (2017)
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scalesInternational Journal of Remote Sensing, 38
-
J. Oksanen, F. Blanchet, R. Kindt, P. Legendre, RG O'Hara, GL Simpson, P. Minchin, RB O’Hara (2007)
vegan : Community Ecology Package. R package version 1.8-5 -
J. Schneider, L. Kutzbach, M. Wilmking (2012)
Carbon dioxide exchange fluxes of a boreal peatland over a complete growing season, Komi Republic, NW RussiaBiogeochemistry, 111
-
Aleksi Räsänen, S. Juutinen, M. Aurela, T. Virtanen (2018)
Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field samplingInternational Journal of Remote Sensing, 40
-
S. Ustin, J. Gamon (2010)
Remote sensing of plant functional types.The New phytologist, 186 4
-
R. Campello, Eduardo Hruschka (2006)
A fuzzy extension of the silhouette width criterion for cluster analysisFuzzy Sets Syst., 157
-
M. Middleton, P. Närhi, H. Arkimaa, E. Hyvönen, V. Kuosmanen, P. Treitz, R. Sutinen (2012)
Ordination and hyperspectral remote sensing approach to classify peatland biotopes along soil moisture and fertility gradientsRemote Sensing of Environment, 124
-
A. Lohila, T. Penttilä, Sinikka Jortikka, T. Aalto, P. Anttila, E. Asmi, M. Aurela, J. Hatakka, H. Hellén, H. Henttonen, P. Hänninen, Juho Kilkki, Katriina Kyllönen, T. Laurila, A. Lepistö, H. Lihavainen, U. Makkonen, J. Paatero, M. Rask, R. Sutinen, J. Tuovinen, J. Vuorenmaa, Y. Viisanen (2015)
Preface to the special issue on integrated research of atmosphere, ecosystems and environment at Pallas -
M. Peichl, O. Sonnentag, M. Nilsson (2014)
Bringing Color into the Picture: Using Digital Repeat Photography to Investigate Phenology Controls of the Carbon Dioxide Exchange in a Boreal MireEcosystems, 18
-
M. Aurela, J. Tuovinen, T. Laurila (1998)
Carbon dioxide exchange in a subarctic peatland ecosystem in northern Europe measured by the eddy covariance techniqueJournal of Geophysical Research, 103
-
Liisa Maanavilja, T. Riutta, M. Aurela, M. Pulkkinen, T. Laurila, E. Tuittila (2011)
Spatial variation in CO2 exchange at a northern aapa mireBiogeochemistry, 104
-
H. Feilhauer, U. Faude, S. Schmidtlein (2011)
Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscapeRemote Sensing of Environment, 115
-
J. Kruskal (1964)
Nonmetric multidimensional scaling: A numerical methodPsychometrika, 29
-
T. Kattenborn, F. Fassnacht, S. Schmidtlein (2018)
Differentiating plant functional types using reflectance: which traits make the difference?Remote Sensing in Ecology and Conservation, 5
-
A. Guisan, S. Weiss, Andrew Weiss (1999)
GLM versus CCA spatial modeling of plant species distributionPlant Ecology, 143
-
J. Böhner, T. Selige (2006)
Spatial Prediction of Soil Attributes Using Terrain Analysis and Climate Regionalisation -
F. Chapin, M. Bret-Harte, S. Hobbie, H. Zhong (1996)
Plant functional types as predictors of transient responses of arctic vegetation to global changeJournal of Vegetation Science, 7
-
M. Rautiainen, P. Lukeš, L. Homolová, A. Hovi, J. Pisek, M. Mõttus (2018)
Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory MeasurementsRemote. Sens., 10
-
K. Dinsmore, J. Drewer, P. Levy, C. George, A. Lohila, M. Aurela, U. Skiba (2017)
Growing season CH 4 and N 2 O fluxes from a subarctic landscape in northern Finland; from chamber to landscape scaleBiogeosciences, 14
-
J. Rouse, R. Haas, J. Schell, D. Deering (1973)
Monitoring vegetation systems in the great plains with ERTS, 1
-
M. Aurela, A. Lohila, J. Tuovinen, J. Hatakka, T. Riutta, T. Laurila (2009)
Carbon dioxide exchange on a northern boreal fen -
B. Poulter, B. Poulter, N. MacBean, A. Hartley, I. Khlystova, O. Arino, R. Betts, S. Bontemps, M. Boettcher, C. Brockmann, P. Defourny, S. Hagemann, M. Herold, G. Kirches, C. Lamarche, Dimitri Lederer, C. Ottlé, Marco Peters, P. Peylin (2015)
Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change InitiativeGeoscientific Model Development, 8
-
M. Clark, T. Aide, H. Grau, G. Riner (2010)
A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South AmericaRemote Sensing of Environment, 114
-
J. Waddington, Paul Morris, N. Kettridge, G. Granath, Dan Thompson, Paul Moore (2015)
Hydrological feedbacks in northern peatlandsEcohydrology, 8
-
M. Dufrêne, P. Legendre (1997)
SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACHEcological Monographs, 67
-
V. Mishra, R. Prasad, P. Rai, A. Vishwakarma, Aman Arora (2018)
Performance evaluation of textural features in improving land use/land cover classification accuracy of heterogeneous landscape using multi-sensor remote sensing dataEarth Science Informatics, 12
-
J. Duckworth, M. Kent, P. Ramsay (2000)
Plant functional types: an alternative to taxonomic plant community description in biogeography?Progress in Physical Geography, 24
-
M. Palace, C. Herrick, J. DelGreco, D. Finnell, A. Garnello, C. McCalley, K. McArthur, F. Sullivan, R. Varner (2018)
Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS)Remote. Sens., 10
-
M. Shadaydeh, A. Zlinszky, Andrea Manno-Kovács, T. Szirányi (2017)
Wetland mapping by fusion of airborne laser scanning and multi-temporal multispectral satellite imageryInternational Journal of Remote Sensing, 38
-
S. Juutinen, T. Virtanen, V. Kondratyev, T. Laurila, M. Linkosalmi, J. Mikola, J. Nyman, Aleksi Räsänen, J. Tuovinen, M. Aurela (2017)
Spatial variation and seasonal dynamics of leaf-area index in the arctic tundra-implications for linking ground observations and satellite imagesEnvironmental Research Letters, 12
-
J. Kruskal (1964)
Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesisPsychometrika, 29
-
M. McPartland, E. Kane, M. Falkowski, R. Kolka, M. Turetsky, B. Palik, R. Montgomery (2018)
The response of boreal peatland community composition and NDVI to hydrologic change, warming, and elevated carbon dioxideGlobal Change Biology, 25
-
Weitao Chen, Xianju Li, Haixia He, Lizhe Wang (2017)
Assessing Different Feature Sets' Effects on Land Cover Classification in Complex Surface-Mined Landscapes by ZiYuan-3 Satellite ImageryRemote. Sens., 10
-
Sara Fraixedas, Andreas Lindén, Kalle Meller, Å. Lindström, O. Keišs, J. Kålås, M. Husby, A. Leivits, M. Leivits, A. Lehikoinen (2017)
Substantial decline of Northern European peatland bird populations : Consequences of drainageBiological Conservation, 214
-
S. McFeeters (1996)
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water featuresInternational Journal of Remote Sensing, 17
-
Jiří Prošek, P. Šímová (2019)
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?Int. J. Appl. Earth Obs. Geoinformation, 75
-
T. Sankey, J. McVay, T. Swetnam, M. McClaran, P. Heilman, M. Nichols (2018)
UAV hyperspectral and lidar data and their fusion for arid and semi‐arid land vegetation monitoringRemote Sensing in Ecology and Conservation, 4
-
J. Lehmann, Wiebke Münchberger, Christian Knoth, C. Blodau, Felix Nieberding, Torsten Prinz, V. Pancotto, T. Kleinebecker (2016)
High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR ImageryRemote. Sens., 8
-
J. Bray, And Curtis, Departrnent (1957)
An Ordination of the Upland Forest Communities of Southern WisconsinEcological Monographs, 27
-
J. W. J. Rouse, R. H. Haas, J. A. Schell, D. W. Deering (1974)
Third earth resources technology satellite?1 symposium -
J. Mercer, C. Westbrook (2016)
Ultrahigh‐resolution mapping of peatland microform using ground‐based structure from motion with multiview stereoJournal of Geophysical Research: Biogeosciences, 121
-
Miia Saarimaa, K. Aapala, S. Tuominen, J. Karhu, Marie Parkkari, A. Tolvanen (2019)
Predicting hotspots for threatened plant species in boreal peatlandsBiodiversity and Conservation, 28
-
J. Loisel, S. Bellen, L. Pelletier, J. Talbot, G. Hugelius, D. Karran, Zicheng Yu, J. Nichols, J. Holmquist (2017)
Insights and issues with estimating northern peatland carbon stocks and fluxes since the Last Glacial MaximumEarth-Science Reviews, 165
-
Aleksi Räsänen, T. Virtanen (2019)
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapesRemote Sensing of Environment
-
A. Harris, Rebecca Charnock, R. Lucas (2015)
Hyperspectral remote sensing of peatland floristic gradientsRemote Sensing of Environment, 162
-
Marti Anderson (2001)
A new method for non-parametric multivariate analysis of variance in ecology -
Beth Cole, J. McMorrow, M. Evans (2014)
Empirical Modelling of Vegetation Abundance from Airborne Hyperspectral Data for Upland Peatland Restoration MonitoringRemote. Sens., 6
-
M. Kursa, W. Rudnicki (2010)
Feature Selection with the Boruta PackageJournal of Statistical Software, 36
-
P. Scholefield, D. Morton, G. McShane, Luis Carrasco, Mike Whitfield, C. Rowland, R. Rose, C. Wood, E. Tebbs, B. Dodd, D. Monteith (2019)
Estimating habitat extent and carbon loss from an eroded northern blanket bog using UAV derived imagery and topographyProgress in Physical Geography: Earth and Environment, 43
-
A. Dallmeyer, M. Claussen, V. Brovkin (2019)
Harmonising plant functional type distributions for evaluating Earth system modelsClimate of the Past
-
M. Ferraro, P. Giordani (2015)
A toolbox for fuzzy clustering using the R programming languageFuzzy Sets Syst., 279
-
M. Kalacska, M. Lalonde, T. Moore (2015)
Estimation of foliar chlorophyll and nitrogen content in an ombrotrophic bog from hyperspectral data: Scaling from leaf to imageRemote Sensing of Environment, 169
-
L. Breiman (2001)
Random ForestsMachine Learning, 45
-
R. Team (2014)
R: A language and environment for statistical computing.MSOR connections, 1
-
(2017)
Planet application program interface: in space for life on earth -
L. Berner, P. Jantz, K. Tape, S. Goetz (2018)
Tundra plant above-ground biomass and shrub dominance mapped across the North Slope of AlaskaEnvironmental Research Letters, 13
-
D. Rocchini (2014)
Fuzzy species distribution models: a way to represent plant communities spatiallyJournal of Vegetation Science, 25
-
R. Haralick, K. Shanmugam, I. Dinstein (1973)
Textural Features for Image ClassificationIEEE Trans. Syst. Man Cybern., 3
-
H. Riihimäki, M. Luoto, J. Heiskanen (2019)
Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite dataRemote Sensing of Environment
-
Bin Chen, Bin Chen, B. Huang, Bing Xu, Bing Xu, Bing Xu (2017)
Multi-source remotely sensed data fusion for improving land cover classificationIsprs Journal of Photogrammetry and Remote Sensing, 124
-
S. Schmidtlein, H. Feilhauer, H. Bruelheide (2012)
Mapping plant strategy types using remote sensingJournal of Vegetation Science, 23
-
R. Krishnapuram, A. Joshi, O. Nasraoui, L. Yi (2001)
Low-complexity fuzzy relational clustering algorithms for Web miningIEEE Trans. Fuzzy Syst., 9
-
Aleksi Räsänen, S. Juutinen, E. Tuittila, M. Aurela, T. Virtanen (2019)
Comparing ultra‐high spatial resolution remote‐sensing methods in mapping peatland vegetationJournal of Vegetation Science
-
S. Davidson, M. Santos, V. Sloan, K. Reuss-Schmidt, G. Phoenix, W. Oechel, D. Zona (2017)
Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra EcosystemsRemote. Sens., 9
-
G. Hugelius, T. Virtanen, D. Kaverin, A. Pastukhov, F. Rivkin, S. Marchenko, V. Romanovsky, P. Kuhry (2011)
High‐resolution mapping of ecosystem carbon storage and potential effects of permafrost thaw in periglacial terrain, European Russian ArcticJournal of Geophysical Research, 116
-
N. Coops, M. Johnson, M. Wulder, J. White (2006)
Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestationRemote Sensing of Environment, 103
-
Julie Lovitt, Mir Rahman, G. McDermid (2017)
Assessing the Value of UAV Photogrammetry for Characterizing Terrain in Complex PeatlandsRemote. Sens., 9
-
Anderson M. J. (2001)
A new method for non?parametric multivariate analysis of varianceAustral Ecol., 26
-
A. Laine, A. Laine, A. Laine, L. Mehtätalo, A. Tolvanen, Steve Frolking, Steve Frolking, E. Tuittila (2019)
Impacts of drainage, restoration and warming on boreal wetland greenhouse gas fluxes.The Science of the total environment, 647
-
M. Aurela, T. Laurila, J. Tuovinen (2004)
The timing of snow melt controls the annual CO2 balance in a subarctic fenGeophysical Research Letters, 31
-
(2002)
Classification and regression by random forest
- Publisher
- Wiley
- Copyright
- © 2020 Published by John Wiley & Sons Ltd.
- eISSN
- 2056-3485
- DOI
- 10.1002/rse2.140
- Publisher site
- See Article on Publisher Site
Abstract
Journal
Remote Sensing in Ecology and Conservation – Wiley
Published: Dec 1, 2020
Keywords: ; ; ; ; ;