-
2
-
-
84875897914
-
Higher levels of multiple ecosystem services are found in forests with more tree species
-
Gamfeldt, L.; Snall, T.; Bagchi, R.; Jonsson, M.; Gustafsson, L.; Kjellander, P.; Ruiz-Jaen, M.C.; Fröberg, M.; Stendahl, J.; Philipson, C.D.; et al. Higher levels of multiple ecosystem services are found in forests with more tree species. Nat. Commun. 2013, 4, 1340.
-
(2013)
Nat. Commun.
, vol.4
, pp. 1340
-
-
Gamfeldt, L.1
Snall, T.2
Bagchi, R.3
Jonsson, M.4
Gustafsson, L.5
Kjellander, P.6
Ruiz-Jaen, M.C.7
Fröberg, M.8
Stendahl, J.9
Philipson, C.D.10
-
3
-
-
84876972950
-
Tree-species range shifts in a changing climate: Detecting, modeling, assisting
-
Iverson, L.R.; McKenzie, D. Tree-species range shifts in a changing climate: Detecting, modeling, assisting. Landsc. Ecol. 2013, 28, 879-889.
-
(2013)
Landsc. Ecol.
, vol.28
, pp. 879-889
-
-
Iverson, L.R.1
McKenzie, D.2
-
4
-
-
85019729487
-
-
Technical Series No. 43, Secretariat of the Convention on Biological Diversity: Montreal, QC, Canada
-
Thompson, I.; Mackey, B.; McNulty, S.; Mosseler, A. Forest Resilience, Biodiversity, and Climate Change. A Synthesis of the Biodiversity/Resilience/Stability Relationship in Forest Ecosystems; Technical Series No. 43, Secretariat of the Convention on Biological Diversity: Montreal, QC, Canada, 2009.
-
(2009)
Forest Resilience, Biodiversity, and Climate Change. A Synthesis of the Biodiversity/Resilience/Stability Relationship in Forest Ecosystems
-
-
Thompson, I.1
Mackey, B.2
McNulty, S.3
Mosseler, A.4
-
5
-
-
84947607477
-
Tree diversity limits the impact of an invasive forest pest
-
Guyot, V.; Castagneyrol, B.; Vialatte, A.; Deconchat, M.; Selvi, F.; Bussotti, F.; Jactel, H. Tree diversity limits the impact of an invasive forest pest. PLoS ONE 2015, 10, e0136469.
-
(2015)
PLoS ONE
, vol.10
, pp. e0136469
-
-
Guyot, V.1
Castagneyrol, B.2
Vialatte, A.3
Deconchat, M.4
Selvi, F.5
Bussotti, F.6
Jactel, H.7
-
6
-
-
84887724460
-
High-resolution global maps of 21st-century forest cover change
-
Hansen, M.C.; Potapov, P.V.; Moore, R.; Hancher, M.; Turubanova, S.A.; Tyukavina, A.; Thau, D.; Stehman, S.V.; Goetz, S.J.; Loveland, T.R.; et al. High-resolution global maps of 21st-century forest cover change. Science 2013, 342, 850-853.
-
(2013)
Science
, vol.342
, pp. 850-853
-
-
Hansen, M.C.1
Potapov, P.V.2
Moore, R.3
Hancher, M.4
Turubanova, S.A.5
Tyukavina, A.6
Thau, D.7
Stehman, S.V.8
Goetz, S.J.9
Loveland, T.R.10
-
7
-
-
84941334770
-
Mapping dominant tree species over large forested areas using Landsat Best-Available-Pixel image composites
-
Thompson, S.D.; Nelson, T.A.; White, J.C.; Wulder, M.A. Mapping dominant tree species over large forested areas using Landsat Best-Available-Pixel image composites. Can. J. Remote Sens. 2015, 41, 203-218.
-
(2015)
Can. J. Remote Sens.
, vol.41
, pp. 203-218
-
-
Thompson, S.D.1
Nelson, T.A.2
White, J.C.3
Wulder, M.A.4
-
8
-
-
0034610199
-
Predictive habitat distribution models in ecology
-
Guisan, A.; Zimmermann, N.E. Predictive habitat distribution models in ecology. Ecol. Model. 2000, 135, 147-186.
-
(2000)
Ecol. Model.
, vol.135
, pp. 147-186
-
-
Guisan, A.1
Zimmermann, N.E.2
-
10
-
-
38349150302
-
Estimating potential habitat for 134 eastern US tree species under six climate scenarios
-
Iverson, L.R.; Prasad, A.M.; Matthews, S.N.; Peters, M. Estimating potential habitat for 134 eastern US tree species under six climate scenarios. For. Ecol. Manag. 2008, 254, 390-406.
-
(2008)
For. Ecol. Manag.
, vol.254
, pp. 390-406
-
-
Iverson, L.R.1
Prasad, A.M.2
Matthews, S.N.3
Peters, M.4
-
11
-
-
85028108738
-
Statistical mapping of tree species over Europe
-
Brus, D.J.; Hengeveld, G.M.; Walvoort, D.J.; Goedhart, P.W.; Heidema, A.H.; Nabuurs, G.J.; Gunia, K. Statistical mapping of tree species over Europe. Eur. J. For. Res. 2012, 131, 145-157.
-
(2012)
Eur. J. For. Res.
, vol.131
, pp. 145-157
-
-
Brus, D.J.1
Hengeveld, G.M.2
Walvoort, D.J.3
Goedhart, P.W.4
Heidema, A.H.5
Nabuurs, G.J.6
Gunia, K.7
-
12
-
-
0031883060
-
Satellite remote sensing for forestry planning-A review
-
Holmgren, P.; Thuressopn, T. Satellite remote sensing for forestry planning-A review. Scand. J. For. Res. 1998, 13, 90-110.
-
(1998)
Scand. J. For. Res.
, vol.13
, pp. 90-110
-
-
Holmgren, P.1
Thuressopn, T.2
-
13
-
-
15844428374
-
Satellite remote sensing of forest resources: Three decades of research development
-
Boyd, D.S.; Danson, F.M. Satellite remote sensing of forest resources: Three decades of research development. Prog. Phys. Geogr. 2005, 29, 1-26.
-
(2005)
Prog. Phys. Geogr.
, vol.29
, pp. 1-26
-
-
Boyd, D.S.1
Danson, F.M.2
-
14
-
-
0035882583
-
Using remote sensing to assess biodiversity
-
Nagendra, H. Using remote sensing to assess biodiversity. Int. J. Remote Sens. 2001, 22, 2377-2400.
-
(2001)
Int. J. Remote Sens.
, vol.22
, pp. 2377-2400
-
-
Nagendra, H.1
-
15
-
-
0029667336
-
Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography
-
Meyer, P.; Staenzb, K.; Ittena, K.I. Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography. ISPRS J. Photogramm. Remote Sens. 1996, 51, 5-16.
-
(1996)
ISPRS J. Photogramm. Remote Sens.
, vol.51
, pp. 5-16
-
-
Meyer, P.1
Staenzb, K.2
Ittena, K.I.3
-
17
-
-
0037121509
-
Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets
-
Brandtberg, T. Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets. Fuzzy Sets Syst. 2002, 132, 371-387.
-
(2002)
Fuzzy Sets Syst.
, vol.132
, pp. 371-387
-
-
Brandtberg, T.1
-
18
-
-
2942719059
-
Species classification of individually segmented tree crowns in high-resolution aerial images using radiometric and morphologic image measures
-
Erikson, M. Species classification of individually segmented tree crowns in high-resolution aerial images using radiometric and morphologic image measures. Remote Sens. Environ. 2004, 91, 469-477.
-
(2004)
Remote Sens. Environ.
, vol.91
, pp. 469-477
-
-
Erikson, M.1
-
19
-
-
0034627794
-
Incorporating texture into classification of forest species composition from airborne multispectral images
-
Franklin, S.E.; Hall, R.J.; Moskal, L.M.; Maudie, A.J.; Lavigne, M. Incorporating texture into classification of forest species composition from airborne multispectral images. Int. J. Remote Sens. 2000, 21, 61-79.
-
(2000)
Int. J. Remote Sens.
, vol.21
, pp. 61-79
-
-
Franklin, S.E.1
Hall, R.J.2
Moskal, L.M.3
Maudie, A.J.4
Lavigne, M.5
-
20
-
-
4344717974
-
Discrimination automatique de peuplements forestiers à partir d'orthophotos numériques couleur: Un cas d'etude en Belgique
-
Kayitakire, F.; Giot, P.; Defourny, P. Discrimination automatique de peuplements forestiers à partir d'orthophotos numériques couleur: Un cas d'etude en Belgique. Can. J. Remote Sens. 2002, 28, 629-640.
-
(2002)
Can. J. Remote Sens.
, vol.28
, pp. 629-640
-
-
Kayitakire, F.1
Giot, P.2
Defourny, P.3
-
21
-
-
77958099826
-
Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data
-
Waser, L.T.; Ginzler, C.; Kuechler, M.; Baltsavias, E.; Hurni, L. Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data. Remote Sens. Environ. 2011, 115, 76-85.
-
(2011)
Remote Sens. Environ.
, vol.115
, pp. 76-85
-
-
Waser, L.T.1
Ginzler, C.2
Kuechler, M.3
Baltsavias, E.4
Hurni, L.5
-
22
-
-
0347948379
-
Exploitation of very high resolution satellite data for tree species identification
-
Carleer, A.; Wolff, E. Exploitation of very high resolution satellite data for tree species identification. Photogramm. Eng. Remote Sens. 2004, 70, 135-140.
-
(2004)
Photogramm. Eng. Remote Sens.
, vol.70
, pp. 135-140
-
-
Carleer, A.1
Wolff, E.2
-
23
-
-
84870760985
-
Tree species classification with random forest using very high spatial resolution 8-band WorldView satellite data
-
Immitzer, M.; Atzberger, C.; Koukal, T. Tree species classification with random forest using very high spatial resolution 8-band WorldView satellite data. Remote Sens. 2012, 4, 2661-2693.
-
(2012)
Remote Sens.
, vol.4
, pp. 2661-2693
-
-
Immitzer, M.1
Atzberger, C.2
Koukal, T.3
-
24
-
-
84929346514
-
Classification of tree species in overstorey canopy of subtropical forest using QuickBird images
-
Lin, C.; Popescu, S.C.; Thomson, G.; Tsogt, K.; Chang, C.I. Classification of tree species in overstorey canopy of subtropical forest using QuickBird images. PLoS ONE 2015, 10, e0125554.
-
(2015)
PLoS ONE
, vol.10
, pp. e0125554
-
-
Lin, C.1
Popescu, S.C.2
Thomson, G.3
Tsogt, K.4
Chang, C.I.5
-
25
-
-
0028978288
-
Improved forest classification in the northern Lake States using multi-temporal Landsat imagery
-
Wolter, P.T.; Mladenoff, D.J.; Host, G.E.; Crow, T.R. Improved forest classification in the northern Lake States using multi-temporal Landsat imagery. Photogramm. Eng. Remote Sens. 1995, 61, 1129-1143.
-
(1995)
Photogramm. Eng. Remote Sens.
, vol.61
, pp. 1129-1143
-
-
Wolter, P.T.1
Mladenoff, D.J.2
Host, G.E.3
Crow, T.R.4
-
26
-
-
0030208643
-
Classification of tropical forest classes from Landsat TM data
-
Foody, G.M.; Hill, R.A. Classification of tropical forest classes from Landsat TM data. Int. J. Remote Sens. 1996, 17, 2353-2367.
-
(1996)
Int. J. Remote Sens.
, vol.17
, pp. 2353-2367
-
-
Foody, G.M.1
Hill, R.A.2
-
27
-
-
0034082989
-
Using vegetation reflectance variability for species level classification of hyperspectral data
-
Cochrane, M.A. Using vegetation reflectance variability for species level classification of hyperspectral data. Int. J. Remote Sens. 2000, 21, 2075-2087.
-
(2000)
Int. J. Remote Sens.
, vol.21
, pp. 2075-2087
-
-
Cochrane, M.A.1
-
28
-
-
84871745702
-
Tree species discrimination in tropical forests using airborne imaging spectroscopy
-
Féret, J.B.; Asner, G.P. Tree species discrimination in tropical forests using airborne imaging spectroscopy. IEEE Trans. Geosci. Remote Sens. 2012, 51, 73-84.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, pp. 73-84
-
-
Féret, J.B.1
Asner, G.P.2
-
29
-
-
84878355763
-
Hyperspectral discrimination of tree species with different classifications using single-and multiple-endmember
-
Ghiyamat, A.; Shafri, H.Z.; Mahdiraji, G.A.; Shariff, A.R.M.; Mansor, S. Hyperspectral discrimination of tree species with different classifications using single-and multiple-endmember. Int. J. Appl. Earth Obs. Geoinf. 2013, 23, 177-191.
-
(2013)
Int. J. Appl. Earth Obs. Geoinf.
, vol.23
, pp. 177-191
-
-
Ghiyamat, A.1
Shafri, H.Z.2
Mahdiraji, G.A.3
Shariff, A.R.M.4
Mansor, S.5
-
30
-
-
84897452056
-
Forest tree species discrimination in western Himalaya using EO-1 Hyperion
-
George, R.; Padaliab, H.; Kushwahab, S.P. Forest tree species discrimination in western Himalaya using EO-1 Hyperion. Int. J. Appl. Earth Obs. Geoinf. 2014, 28, 140-149.
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.28
, pp. 140-149
-
-
George, R.1
Padaliab, H.2
Kushwahab, S.P.3
-
31
-
-
79952735042
-
Exploring full-waveform LiDAR parameters for tree species classification
-
Heinzel, J.; Koch, B. Exploring full-waveform LiDAR parameters for tree species classification. Int. J. Appl. Earth Obs. Geoinf. 2011, 13, 152-160.
-
(2011)
Int. J. Appl. Earth Obs. Geoinf.
, vol.13
, pp. 152-160
-
-
Heinzel, J.1
Koch, B.2
-
32
-
-
77949657728
-
Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification
-
Ke, Y.; Quackenbush, L.J.; Im, J. Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification. Remote Sens. Environ. 2010, 114, 1141-1154.
-
(2010)
Remote Sens. Environ.
, vol.114
, pp. 1141-1154
-
-
Ke, Y.1
Quackenbush, L.J.2
Im, J.3
-
33
-
-
84859928062
-
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
-
Dalponte, M.; Bruzzone, L.; Gianelle, D. Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data. Remote Sens. Environ. 2012, 123, 258-270.
-
(2012)
Remote Sens. Environ.
, vol.123
, pp. 258-270
-
-
Dalponte, M.1
Bruzzone, L.2
Gianelle, D.3
-
34
-
-
84883503642
-
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution
-
Engler, R.; Waser, L.T.; Zimmermann, N.E.; Schaub, M.; Berdos, S.; Ginzler, C.; Psomas, A. Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution. For. Ecol. Manag. 2013, 310, 64-73.
-
(2013)
For. Ecol. Manag.
, vol.310
, pp. 64-73
-
-
Engler, R.1
Waser, L.T.2
Zimmermann, N.E.3
Schaub, M.4
Berdos, S.5
Ginzler, C.6
Psomas, A.7
-
35
-
-
84897585667
-
A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
-
Ghosh, A.; Fassnacht, F.E.; Joshia, P.K.; Koch, B. A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales. Int. J. Appl. Earth Obs. Geoinf. 2014, 26, 49-63.
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.26
, pp. 49-63
-
-
Ghosh, A.1
Fassnacht, F.E.2
Joshia, P.K.3
Koch, B.4
-
36
-
-
40049088615
-
Species identification of individual trees by combining high resolution LiDAR data with multispectral images
-
Holmgren, J.; Persson, A.; Soderman, U. Species identification of individual trees by combining high resolution LiDAR data with multispectral images. Int. J. Remote Sens. 2008, 29, 1537-1552.
-
(2008)
Int. J. Remote Sens.
, vol.29
, pp. 1537-1552
-
-
Holmgren, J.1
Persson, A.2
Soderman, U.3
-
37
-
-
0029256774
-
Evaluating seasonal variability as an aid to cover-type mapping from Landsat Thematic Mapper data in the Northeast
-
Schriver, J.R.; Congalton, R.G. Evaluating seasonal variability as an aid to cover-type mapping from Landsat Thematic Mapper data in the Northeast. Photogramm. Eng. Remote Sens. 1995, 61, 321-327.
-
(1995)
Photogramm. Eng. Remote Sens.
, vol.61
, pp. 321-327
-
-
Schriver, J.R.1
Congalton, R.G.2
-
38
-
-
0031692709
-
Delineating forest canopy species in the northeastern United States using multi-temporal TM imagery
-
Mickelson, J.G.; Civco, D.L.; Silander, J.A. Delineating forest canopy species in the northeastern United States using multi-temporal TM imagery. Photogramm. Eng. Remote Sens. 1998, 64, 891-904.
-
(1998)
Photogramm. Eng. Remote Sens.
, vol.64
, pp. 891-904
-
-
Mickelson, J.G.1
Civco, D.L.2
Silander, J.A.3
-
39
-
-
0036094212
-
Phenological differences in Tasseled Cap indices improve deciduous forest classification
-
Dymond, C.C.; Mladenoff, D.J.; Radeloff, V.C. Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sens. Environ. 2002, 80, 460-472.
-
(2002)
Remote Sens. Environ.
, vol.80
, pp. 460-472
-
-
Dymond, C.C.1
Mladenoff, D.J.2
Radeloff, V.C.3
-
40
-
-
84904287664
-
Accurate mapping of forest types using dense seasonal Landsat time-series
-
Zhu, X.; Liu, D. Accurate mapping of forest types using dense seasonal Landsat time-series. ISPRS J. Photogramm. Remote Sens. 2014, 96, 1-11.
-
(2014)
ISPRS J. Photogramm. Remote Sens.
, vol.96
, pp. 1-11
-
-
Zhu, X.1
Liu, D.2
-
41
-
-
85011307895
-
Improved forest mapping based on MODIS time series and landscape stratification
-
In press.
-
Cano, E.; Denux, J.P.; Bisquert, M.; Hubert-Moy, L.; Chéret, V. Improved forest mapping based on MODIS time series and landscape stratification. Int. J. Remote Sens. 2016, in press.
-
(2016)
Int. J. Remote Sens.
-
-
Cano, E.1
Denux, J.P.2
Bisquert, M.3
Hubert-Moy, L.4
Chéret, V.5
-
42
-
-
0035124583
-
A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest
-
Key, T.; Warner, T.A.; McGraw, J.B.; Fajvan, M.A. A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest. Remote Sens. Environ. 2001, 75, 100-112.
-
(2001)
Remote Sens. Environ.
, vol.75
, pp. 100-112
-
-
Key, T.1
Warner, T.A.2
McGraw, J.B.3
Fajvan, M.A.4
-
43
-
-
77949435300
-
Mapping tree species in temperate deciduous woodland using time-series multi-spectral data
-
Hill, R.A.; Wilson, A.K.; George, M.; Hinsley, S.A. Mapping tree species in temperate deciduous woodland using time-series multi-spectral data. Appl. Veg. Sci. 2010, 13, 86-99.
-
(2010)
Appl. Veg. Sci.
, vol.13
, pp. 86-99
-
-
Hill, R.A.1
Wilson, A.K.2
George, M.3
Hinsley, S.A.4
-
44
-
-
84878372022
-
Urban vegetation classification: Benefits of multitemporal RapidEye satellite data
-
Tigges, J.; Lakes, T.; Hostert, P. Urban vegetation classification: Benefits of multitemporal RapidEye satellite data. Remote Sens. Environ. 2013, 136, 66-75.
-
(2013)
Remote Sens. Environ.
, vol.136
, pp. 66-75
-
-
Tigges, J.1
Lakes, T.2
Hostert, P.3
-
45
-
-
61349093180
-
VENmS mission: A joint Israel-French Earth Observation scientific mission with High spatial and temporal resolution capabilities
-
Sobrino, J.A., Ed.; Publicacions de la Universitat de València: Valencia, Spain
-
Dedieu, G.; Karnieli, A.; Hagolle, O.; Jeanjean, H.; Cabot, F.; Ferrier, P.; Yaniv, Y. VENmS mission: A joint Israel-French Earth Observation scientific mission with High spatial and temporal resolution capabilities. In Second Recent Advances in Quantitative Remote Sensing; Sobrino, J.A., Ed.; Publicacions de la Universitat de València: Valencia, Spain, 2006; pp. 517-521.
-
(2006)
Second Recent Advances in Quantitative Remote Sensing
, pp. 517-521
-
-
Dedieu, G.1
Karnieli, A.2
Hagolle, O.3
Jeanjean, H.4
Cabot, F.5
Ferrier, P.6
Yaniv, Y.7
-
47
-
-
40949131913
-
Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images
-
Hagolle, O.; Dedieu, G.; Mougenot, B.; Debaecker, V.; Duchemin, B.; Meygret, A. Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images. Remote Sens. Environ. 2008, 112, 1689-1701.
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 1689-1701
-
-
Hagolle, O.1
Dedieu, G.2
Mougenot, B.3
Debaecker, V.4
Duchemin, B.5
Meygret, A.6
-
48
-
-
84926382691
-
A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of Formosat-2, Landsat, VENmS and Sentinel-2 Images
-
Hagolle, O.; Dedieu, G.; Mougenot, B.; Debaecker, V.; Duchemin, B.; Meygret, A. A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of Formosat-2, Landsat, VENmS and Sentinel-2 Images. Remote Sens. 2015, 7, 2668-2691.
-
(2015)
Remote Sens.
, vol.7
, pp. 2668-2691
-
-
Hagolle, O.1
Dedieu, G.2
Mougenot, B.3
Debaecker, V.4
Duchemin, B.5
Meygret, A.6
-
49
-
-
77955321544
-
A multi-temporal method for cloud detection, applied to Formosat-2, VENmS, Landsat and Sentinel-2 Images
-
Hagolle, O.; Huc, M.; Pascual, D.V.; Dedieu, G. A multi-temporal method for cloud detection, applied to Formosat-2, VENmS, Landsat and Sentinel-2 Images. Remote Sens. Environ. 2010, 114, 1747-1755.
-
(2010)
Remote Sens. Environ.
, vol.114
, pp. 1747-1755
-
-
Hagolle, O.1
Huc, M.2
Pascual, D.V.3
Dedieu, G.4
-
50
-
-
25044469436
-
A perfect smoother
-
Eilers, P. A perfect smoother. Anal. Chem. 2011, 75, 3299-3304.
-
(2011)
Anal. Chem.
, vol.75
, pp. 3299-3304
-
-
Eilers, P.1
-
51
-
-
79960068688
-
Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements
-
Atzberger, C.; Eilers, P. Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements. Int. J. Remote Sens. 2011, 32, 3689-3709.
-
(2011)
Int. J. Remote Sens.
, vol.32
, pp. 3689-3709
-
-
Atzberger, C.1
Eilers, P.2
-
52
-
-
80555140075
-
Scikit-learn: Machine learning in Python
-
Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; Blondel, M.; Prettenhofer, P.; Weiss, R.; Dubourg, V.; et al. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 2011, 12, 2825-2830.
-
(2011)
J. Mach. Learn. Res.
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
-
53
-
-
67650759361
-
Kernel functions analysis for support vector machines for land cover classification
-
Kavzoglu, T.; Colkesen, I. Kernel functions analysis for support vector machines for land cover classification. Int. J. Appl. Earth Obs. Geoinf. 2009, 11, 352-359.
-
(2009)
Int. J. Appl. Earth Obs. Geoinf.
, vol.11
, pp. 352-359
-
-
Kavzoglu, T.1
Colkesen, I.2
-
54
-
-
84864524799
-
Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation
-
Heinzel, J.; Koch, B. Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation. Int. J. Appl. Earth Obs. Geoinf. 2012, 18, 101-110.
-
(2012)
Int. J. Appl. Earth Obs. Geoinf.
, vol.18
, pp. 101-110
-
-
Heinzel, J.1
Koch, B.2
-
55
-
-
14644402381
-
Partially supervised classification of remote sensing images through SVM-based probability density estimation
-
Mantero, P.; Moser, G.; Serpico, S. Partially supervised classification of remote sensing images through SVM-based probability density estimation. IEEE Trans. Geosci. Remote Sens. 2005, 43, 559-570.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, pp. 559-570
-
-
Mantero, P.1
Moser, G.2
Serpico, S.3
-
56
-
-
79951950272
-
Support vector machines in remote sensing: A review
-
Mountrakis, G.; Im, J.; Ogole, C. Support vector machines in remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2011, 66, 247-259.
-
(2011)
ISPRS J. Photogramm. Remote Sens.
, vol.66
, pp. 247-259
-
-
Mountrakis, G.1
Im, J.2
Ogole, C.3
-
57
-
-
0003684449
-
-
Springer Series in Statistics; Springer: New York, NY, USA
-
Hastie, T.J.; Tibshirani, R.J.; Friedman, J.H. The Elements of Statistical Learning: Data Mining, Inference, and Prediction; Springer Series in Statistics; Springer: New York, NY, USA, 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.J.1
Tibshirani, R.J.2
Friedman, J.H.3
-
58
-
-
84952019779
-
An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data
-
Shao, Y.; Lunetta, R.; Wheeler, B.; Iiames, J.; Campbell, J. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sens. Environ. 2016, 174, 258-265.
-
(2016)
Remote Sens. Environ.
, vol.174
, pp. 258-265
-
-
Shao, Y.1
Lunetta, R.2
Wheeler, B.3
Iiames, J.4
Campbell, J.5
-
59
-
-
0026278621
-
A review of assessing the accuracy of classifictions of remotely sensed data
-
Congalton, R.G. A review of assessing the accuracy of classifictions of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46.
-
(1991)
Remote Sens. Environ.
, vol.37
, pp. 35-46
-
-
Congalton, R.G.1
-
60
-
-
70449338714
-
Sample size determination for image classification accuracy assessment and comparison
-
Foody, G.M. Sample size determination for image classification accuracy assessment and comparison. Int. J. Remote Sens. 2009, 30, 5273-5291.
-
(2009)
Int. J. Remote Sens.
, vol.30
, pp. 5273-5291
-
-
Foody, G.M.1
-
61
-
-
33745756516
-
The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM
-
Foody, G.M.; Mathur, A. The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM. Remote Sens. Environ. 2006, 103, 179-189.
-
(2006)
Remote Sens. Environ.
, vol.103
, pp. 179-189
-
-
Foody, G.M.1
Mathur, A.2
-
62
-
-
0013326060
-
Feature selection for classification
-
Dash, M.; Liu, H. Feature selection for classification. Intell. Data Anal. 1997, 1, 131-156.
-
(1997)
Intell. Data Anal.
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
63
-
-
85027943988
-
Fast forward feature selection of hyperspectral images for classification with Gaussian mixture models
-
Fauvel, M.; Dechesne, C.; Zullo, A.; Ferraty, F. Fast forward feature selection of hyperspectral images for classification with Gaussian mixture models. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2015, 8, 2824-2831.
-
(2015)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
, vol.8
, pp. 2824-2831
-
-
Fauvel, M.1
Dechesne, C.2
Zullo, A.3
Ferraty, F.4
-
64
-
-
67650706774
-
Classification of imbalanced data: A review
-
Sun, Y.; Wong, A.K.; Kamel, M.S. Classification of imbalanced data: A review. Int. J. Pattern Recognit. Artif. Intell. 2009, 23, 687-719.
-
(2009)
Int. J. Pattern Recognit. Artif. Intell.
, vol.23
, pp. 687-719
-
-
Sun, Y.1
Wong, A.K.2
Kamel, M.S.3
-
65
-
-
84962601050
-
Tree species abundance predictions in a tropical agricultural landscape with a supervised classification model and imbalanced data
-
Graves, S.J.; Asner, G.P.; Martin, R.E.; Anderson, C.B.; Colgan, M.S.; Kalantari, L.; Bohlman, S.A. Tree species abundance predictions in a tropical agricultural landscape with a supervised classification model and imbalanced data. Remote Sens. 2016, 8, doi:10.3390/rs8020161.
-
(2016)
Remote Sens.
, vol.8
-
-
Graves, S.J.1
Asner, G.P.2
Martin, R.E.3
Anderson, C.B.4
Colgan, M.S.5
Kalantari, L.6
Bohlman, S.A.7
-
66
-
-
39849102390
-
Mapping forest alliances and associations using fuzzy systems and nearest neighbor classifiers
-
Triepke, F.; Brewer, C.; Leavell, D.; Novak, S. Mapping forest alliances and associations using fuzzy systems and nearest neighbor classifiers. Remote Sens. Environ. 2008, 112, 1037-1050.
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 1037-1050
-
-
Triepke, F.1
Brewer, C.2
Leavell, D.3
Novak, S.4
-
67
-
-
34347380005
-
Estimating species abundance in a northern temperate forest using spectral mixture analysis
-
Plourde, L.; Ollinger, S.; Smith, M.L.; Martin, M. Estimating species abundance in a northern temperate forest using spectral mixture analysis. Photogramm. Eng. Remote Sens. 2007, 73, 829-840.
-
(2007)
Photogramm. Eng. Remote Sens.
, vol.73
, pp. 829-840
-
-
Plourde, L.1
Ollinger, S.2
Smith, M.L.3
Martin, M.4
-
68
-
-
0029667619
-
Optimistic bias in classification accuracy assessment
-
Hammond, T.; Verbyla, D. Optimistic bias in classification accuracy assessment. Int. J. Remote Sens. 1996, 7, 1261-1266.
-
(1996)
Int. J. Remote Sens.
, vol.7
, pp. 1261-1266
-
-
Hammond, T.1
Verbyla, D.2
-
69
-
-
0034689670
-
Note on procedures used for accuracy assessment in land cover maps derived from AVHRR data
-
Friedl, M.A.;Woodcock, C.; Gopal, S.; Muchoney, D.; Strahler, A.H.; Barker-Schaaf, C. Note on procedures used for accuracy assessment in land cover maps derived from AVHRR data. Int. J. Remote Sens. 2000, 21, 1073-1077.
-
(2000)
Int. J. Remote Sens.
, vol.21
, pp. 1073-1077
-
-
Friedl, M.A.1
Woodcock, C.2
Gopal, S.3
Muchoney, D.4
Strahler, A.H.5
Barker-Schaaf, C.6
-
70
-
-
61349091068
-
The effect of spatial autocorrelation and class proportion on the accuracy measures from different sampling designs
-
Chen, D.; Wei, H. The effect of spatial autocorrelation and class proportion on the accuracy measures from different sampling designs. ISPRS J. Photogramm. Remote Sens. 2009, 64, 140-150.
-
(2009)
ISPRS J. Photogramm. Remote Sens.
, vol.64
, pp. 140-150
-
-
Chen, D.1
Wei, H.2
-
71
-
-
85019718109
-
Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification
-
Zhen, Z.; Quackenbush, L.; Stehman, S.; Zhang, L. Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification. Int. J. Remote Sens. 2001, 22, 2377-2400.
-
(2001)
Int. J. Remote Sens.
, vol.22
, pp. 2377-2400
-
-
Zhen, Z.1
Quackenbush, L.2
Stehman, S.3
Zhang, L.4
|