메뉴 건너뛰기




Volumn 2, Issue 3, 2016, Pages 152-170

From imagery to ecology: leveraging time series of all available Landsat observations to map and monitor ecosystem state and dynamics

Author keywords

Ecosystem dynamics; ecosystem structure; land cover; Landsat; time series; vegetation mapping

Indexed keywords


EID: 85018501099     PISSN: None     EISSN: 20563485     Source Type: Journal    
DOI: 10.1002/rse2.24     Document Type: Article
Times cited : (103)

References (69)
  • 1
    • 77952881448 scopus 로고    scopus 로고
    • Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
    • Adam, E., O. Mutanga, and D. Rugege. 2009. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecol. Manage. 18, 281–296. doi:10.1007/s11273-009-9169-z.
    • (2009) Wetlands Ecol. Manage. , vol.18 , pp. 281-296
    • Adam, E.1    Mutanga, O.2    Rugege, D.3
  • 2
    • 84896391610 scopus 로고    scopus 로고
    • On-the-Fly massively multitemporal change detection using statistical quality control charts and Landsat data
    • Brooks, E. B., R. H. Wynne, V. A. Thomas, C. E. Blinn, and J. W. Coulston. 2014. On-the-Fly massively multitemporal change detection using statistical quality control charts and Landsat data. IEEE Trans. Geosci. Remote Sens. 52, 3316–3332. doi:10.1109/TGRS.2013.2272545.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , pp. 3316-3332
    • Brooks, E.B.1    Wynne, R.H.2    Thomas, V.A.3    Blinn, C.E.4    Coulston, J.W.5
  • 3
    • 33847679462 scopus 로고    scopus 로고
    • Spatial heterogeneity in urban ecosystems: reconceptualizing land cover and a framework for classification
    • Cadenasso, M. L., S. T. A. Pickett, and K. Schwarz. 2007. Spatial heterogeneity in urban ecosystems: reconceptualizing land cover and a framework for classification. Front. Ecol. Environ. 5, 80–88. doi:10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2.
    • (2007) Front. Ecol. Environ. , vol.5 , pp. 80-88
    • Cadenasso, M.L.1    Pickett, S.T.A.2    Schwarz, K.3
  • 4
    • 0034655827 scopus 로고    scopus 로고
    • Land cover mapping of large areas from satellites: status and research priorities
    • Cihlar, J. 2000. Land cover mapping of large areas from satellites: status and research priorities. Int. J. Remote Sens. 21, 1093–1114. doi:10.1080/014311600210092.
    • (2000) Int. J. Remote Sens. , vol.21 , pp. 1093-1114
    • Cihlar, J.1
  • 5
    • 2942621978 scopus 로고    scopus 로고
    • Landsat's role in ecological applications of remote sensing
    • Cohen, W. B., and S. N. Goward. 2004. Landsat's role in ecological applications of remote sensing. Bioscience 54, 535. doi:10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2.
    • (2004) Bioscience , vol.54 , pp. 535
    • Cohen, W.B.1    Goward, S.N.2
  • 6
    • 0026459879 scopus 로고
    • Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT imagery
    • Cohen, W. B., and T. A. Spies. 1992. Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT imagery. Remote Sens. Environ. 41, 1–17. doi:10.1016/0034-4257(92)90056-P.
    • (1992) Remote Sens. Environ. , vol.41 , pp. 1-17
    • Cohen, W.B.1    Spies, T.A.2
  • 7
    • 0035882618 scopus 로고    scopus 로고
    • Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data
    • Cohen, W. B., T. K. Maiersperger, T. A. Spies, and D. R. Oetter. 2001. Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data. Int. J. Remote Sens. 22, 2279–2310. doi:10.1080/01431160121472.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 2279-2310
    • Cohen, W.B.1    Maiersperger, T.K.2    Spies, T.A.3    Oetter, D.R.4
  • 8
    • 1942536045 scopus 로고    scopus 로고
    • Digital change detection methods in ecosystem monitoring: a review
    • Coppin, P., I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin 2004. Digital change detection methods in ecosystem monitoring: a review. Int. J. Remote Sens. 25, 1565–1596. doi:10.1080/0143116031000101675.
    • (2004) Int. J. Remote Sens. , vol.25 , pp. 1565-1596
    • Coppin, P.1    Jonckheere, I.2    Nackaerts, K.3    Muys, B.4    Lambin, E.5
  • 9
    • 0003552474 scopus 로고
    • Remote sensing for identification and classification of wetland vegetation. ‎J
    • Cowardin, L. M., and V. I. Myers. 1974. Remote sensing for identification and classification of wetland vegetation. ‎J. Wildl. Manag. 38, 308–314.
    • (1974) Wildl. Manag. , vol.38 , pp. 308-314
    • Cowardin, L.M.1    Myers, V.I.2
  • 10
    • 0022267176 scopus 로고
    • A TM Tasseled Cap equivalent transformation for reflectance factor data
    • Crist, E. P. 1985. A TM Tasseled Cap equivalent transformation for reflectance factor data. Remote Sens. Environ. 17, 301–306. doi:10.1016/0034-4257(85)90102-6.
    • (1985) Remote Sens. Environ. , vol.17 , pp. 301-306
    • Crist, E.P.1
  • 11
    • 0021424184 scopus 로고
    • A physically-based transformation of Thematic Mapper data—The TM Tasseled Cap
    • GE-22
    • Crist, E. P., and R. C. Cicone. 1984. A physically-based transformation of Thematic Mapper data—The TM Tasseled Cap. IEEE Trans. Geosci. Remote Sens., GE-22 3, 256–263. doi:10.1109/TGRS.1984.350619.
    • (1984) IEEE Trans. Geosci. Remote Sens. , vol.3 , pp. 256-263
    • Crist, E.P.1    Cicone, R.C.2
  • 13
    • 0036380020 scopus 로고    scopus 로고
    • Monitoring phenological cycles of desert ecosystems using NDVI and LST data derived from NOAA-AVHRR imagery
    • Dall'Olmo, G., and A. Karnieli. 2002. Monitoring phenological cycles of desert ecosystems using NDVI and LST data derived from NOAA-AVHRR imagery. Int. J. Remote Sens. 23, 4055–4071. doi:10.1080/01431160110115988
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 4055-4071
    • Dall'Olmo, G.1    Karnieli, A.2
  • 14
    • 84930035155 scopus 로고    scopus 로고
    • Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series
    • DeVries, B., J. Verbesselt, L. Kooistra, and M. Herold. 2015a. Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series. Remote Sens. Environ. 161, 107–121. doi:10.1016/j.rse.2015.02.012.
    • (2015) Remote Sens. Environ. , vol.161 , pp. 107-121
    • DeVries, B.1    Verbesselt, J.2    Kooistra, L.3    Herold, M.4
  • 15
    • 84941059657 scopus 로고    scopus 로고
    • Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series
    • DeVries, B., M. Decuyper, J. Verbesselt, A. Zeileis, M. Herold, and S. Joseph. 2015b. Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series. Remote Sens. Environ. 169, 320–334.
    • (2015) Remote Sens. Environ. , vol.169 , pp. 320-334
    • DeVries, B.1    Decuyper, M.2    Verbesselt, J.3    Zeileis, A.4    Herold, M.5    Joseph, S.6
  • 16
    • 84962135861 scopus 로고    scopus 로고
    • Characterizing forest change using community-based monitoring data and Landsat time series
    • DeVries, B., A. K. Pratihast, J. Verbesselt, L. Kooistra, and M. Herold. 2016. Characterizing forest change using community-based monitoring data and Landsat time series. PLoS One 11, e0147121. doi:10.1371/journal.pone.0147121.
    • (2016) PLoS One , vol.11
    • DeVries, B.1    Pratihast, A.K.2    Verbesselt, J.3    Kooistra, L.4    Herold, M.5
  • 17
    • 0036094212 scopus 로고    scopus 로고
    • Phenological differences in Tasseled Cap indices improve deciduous forest classification
    • Dymond, C. C., D. J. Mladenoff, and V. C. Radeloff. 2002. Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sens. Environ. 80, 460–472. doi:10.1016/S0034-4257(01)00324-8.
    • (2002) Remote Sens. Environ. , vol.80 , pp. 460-472
    • Dymond, C.C.1    Mladenoff, D.J.2    Radeloff, V.C.3
  • 18
    • 84957940239 scopus 로고    scopus 로고
    • Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012
    • Fickas, K. C., W. B. Cohen, and Z. Yang. 2015. Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012. Wetlands Ecol. Manage., 1–21. doi:10.1007/s11273-015-9452-0.
    • (2015) Wetlands Ecol. Manage. , pp. 1-21
    • Fickas, K.C.1    Cohen, W.B.2    Yang, Z.3
  • 19
    • 30544439121 scopus 로고    scopus 로고
    • Green leaf phenology at Landsat resolution: scaling from the field to the satellite
    • Fisher, J., J. Mustard, and M. Vadeboncoeur. 2006. Green leaf phenology at Landsat resolution: scaling from the field to the satellite. Remote Sens. Environ. 100, 265–279. doi:10.1016/j.rse.2005.10.022.
    • (2006) Remote Sens. Environ. , vol.100 , pp. 265-279
    • Fisher, J.1    Mustard, J.2    Vadeboncoeur, M.3
  • 20
    • 0036837059 scopus 로고    scopus 로고
    • New England tidal inlets with special reference to riverine-associated inlet systems
    • FitzGerald, D. M., I. V. Buynevich, R. A. Davis, and M. S. Fenster. 2002. New England tidal inlets with special reference to riverine-associated inlet systems. Geomorphology 48, 179–208. doi:10.1016/S0169-555X(02)00181-2.
    • (2002) Geomorphology , vol.48 , pp. 179-208
    • FitzGerald, D.M.1    Buynevich, I.V.2    Davis, R.A.3    Fenster, M.S.4
  • 22
    • 84961815144 scopus 로고    scopus 로고
    • Optical remotely sensed time series data for land cover classification: a review
    • Gómez, C., J. C. White, and M. A. Wulder. 2016. Optical remotely sensed time series data for land cover classification: a review. ISPRS J. Photogramm. Remote Sens. 116, 55–72. doi:10.1016/j.isprsjprs.2016.03.008.
    • (2016) ISPRS J. Photogramm. Remote Sens. , vol.116 , pp. 55-72
    • Gómez, C.1    White, J.C.2    Wulder, M.A.3
  • 23
    • 84959020642 scopus 로고    scopus 로고
    • Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011)
    • Halabisky, M., L. M. Moskal, A. Gillespie, and M. Hannam. 2016. Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011). Remote Sens. Environ. 177, 171–183. doi:10.1016/j.rse.2016.02.040.
    • (2016) Remote Sens. Environ. , vol.177 , pp. 171-183
    • Halabisky, M.1    Moskal, L.M.2    Gillespie, A.3    Hannam, M.4
  • 24
    • 84865427954 scopus 로고    scopus 로고
    • A review of large area monitoring of land cover change using Landsat data
    • Hansen, M. C., and T. R. Loveland. 2012. A review of large area monitoring of land cover change using Landsat data. Remote Sens. Environ. 122, 66–74. doi:10.1016/j.rse.2011.08.024.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 66-74
    • Hansen, M.C.1    Loveland, T.R.2
  • 25
    • 84887724460 scopus 로고    scopus 로고
    • High-resolution global maps of 21st-century forest cover change
    • Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, et al. 2013. High-resolution global maps of 21st-century forest cover change. Science 342, 850–853. doi:10.1126/science.1244693.
    • (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
  • 26
    • 23744456111 scopus 로고    scopus 로고
    • Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection
    • Healey, S., W. Cohen, Y. Zhiqiang, and O. Krankina. 2005. Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection. Remote Sens. Environ. 97, 301–310. doi:10.1016/j.rse.2005.05.009.
    • (2005) Remote Sens. Environ. , vol.97 , pp. 301-310
    • Healey, S.1    Cohen, W.2    Zhiqiang, Y.3    Krankina, O.4
  • 27
    • 84924028140 scopus 로고    scopus 로고
    • An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites
    • Hermosilla, T., M. A. Wulder, J. C. White, N. C. Coops, and G. W. Hobart. 2015. An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sens. Environ. 158, 220–234. doi:10.1016/j.rse.2014.11.005.
    • (2015) Remote Sens. Environ. , vol.158 , pp. 220-234
    • Hermosilla, T.1    Wulder, M.A.2    White, J.C.3    Coops, N.C.4    Hobart, G.W.5
  • 28
    • 0002054228 scopus 로고
    • Resilience and stability of ecological systems
    • Holling, C. S. 1973. Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4, 1–23.
    • (1973) Annu. Rev. Ecol. Syst. , vol.4 , pp. 1-23
    • Holling, C.S.1
  • 29
    • 70350050130 scopus 로고    scopus 로고
    • An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
    • Huang, C., S. N. Goward, J. G. Masek, N. Thomas, Z. Zhu, and J. E. Vogelmann. 2010. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sens. Environ. 114, 183–198. doi:10.1016/j.rse.2009.08.017.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 183-198
    • Huang, C.1    Goward, S.N.2    Masek, J.G.3    Thomas, N.4    Zhu, Z.5    Vogelmann, J.E.6
  • 30
    • 0032986310 scopus 로고    scopus 로고
    • Remote sensing of urban/suburban infrastructure and socio-economic attributes
    • Jensen, J. R., and D. C. Cowen. 1999. Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogramm. Eng. Remote Sensing 65, 611–623. doi:10.1002/9780470979587.ch22.
    • (1999) Photogramm. Eng. Remote Sensing , vol.65 , pp. 611-623
    • Jensen, J.R.1    Cowen, D.C.2
  • 31
    • 12344255236 scopus 로고    scopus 로고
    • Comparison of time series Tasseled Cap wetness and the normalized difference moisture index in detecting forest disturbances
    • Jin, S., and S. A. Sader. 2005. Comparison of time series Tasseled Cap wetness and the normalized difference moisture index in detecting forest disturbances. Remote Sens. Environ. 94, 364–372. doi:10.1016/j.rse.2004.10.012.
    • (2005) Remote Sens. Environ. , vol.94 , pp. 364-372
    • Jin, S.1    Sader, S.A.2
  • 32
    • 84955258601 scopus 로고    scopus 로고
    • The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data
    • Ju, J., and J. G. Masek. 2016. The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data. Remote Sens. Environ. 176, 1–16. doi:10.1016/j.rse.2016.01.001.
    • (2016) Remote Sens. Environ. , vol.176 , pp. 1-16
    • Ju, J.1    Masek, J.G.2
  • 33
    • 84871493112 scopus 로고    scopus 로고
    • Monitoring wetland change using inter-annual Landsat time-series data
    • Kayastha, N., V. Thomas, J. Galbraith, and A. Banskota. 2012. Monitoring wetland change using inter-annual Landsat time-series data. Wetlands 32, 1149–1162. doi:10.1007/s13157-012-0345-1.
    • (2012) Wetlands , vol.32 , pp. 1149-1162
    • Kayastha, N.1    Thomas, V.2    Galbraith, J.3    Banskota, A.4
  • 34
    • 34548103023 scopus 로고    scopus 로고
    • Trajectory-based change detection for automated characterization of forest disturbance dynamics
    • Kennedy, R. E., W. B. Cohen, and T. A. Schroeder. 2007. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sens. Environ. 110, 370–386. doi:10.1016/j.rse.2007.03.010.
    • (2007) Remote Sens. Environ. , vol.110 , pp. 370-386
    • Kennedy, R.E.1    Cohen, W.B.2    Schroeder, T.A.3
  • 35
    • 77956882349 scopus 로고    scopus 로고
    • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr–Temporal segmentation algorithms
    • Kennedy, R. E., Z. Yang, and W. B. Cohen. 2010. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr–Temporal segmentation algorithms. Remote Sens. Environ. 114, 2897–2910. doi:10.1016/j.rse.2010.07.008.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 2897-2910
    • Kennedy, R.E.1    Yang, Z.2    Cohen, W.B.3
  • 38
    • 84871897057 scopus 로고    scopus 로고
    • The global availability of Landsat 5 TM and Landsat 7 ETM + land surface observations and implications for global 30 m Landsat data product generation
    • Kovalskyy, V., and D. P. Roy. 2013. The global availability of Landsat 5 TM and Landsat 7 ETM + land surface observations and implications for global 30 m Landsat data product generation. Remote Sens. Environ. 130, 280–293. doi:10.1016/j.rse.2012.12.003.
    • (2013) Remote Sens. Environ. , vol.130 , pp. 280-293
    • Kovalskyy, V.1    Roy, D.P.2
  • 39
    • 0031453598 scopus 로고    scopus 로고
    • The Landsat program: its origins, evolution, and impacts
    • 0099-1112I9716307-8313.00/0.
    • Lauer, D. T., S. A. Morain, and V. V. Salomonson. 1997. The Landsat program: its origins, evolution, and impacts. Photogramm. Eng. Remote Sensing 63, 831–838. doi:0099-1112I9716307-8313.00/0.
    • (1997) Photogramm. Eng. Remote Sensing , vol.63 , pp. 831-838
    • Lauer, D.T.1    Morain, S.A.2    Salomonson, V.V.3
  • 40
    • 84865408801 scopus 로고    scopus 로고
    • Landsat: building a strong future
    • Loveland, T. R., and J. L. Dwyer. 2012. Landsat: building a strong future. Remote Sens. Environ. 122, 22–29. doi:10.1016/j.rse.2011.09.022.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 22-29
    • Loveland, T.R.1    Dwyer, J.L.2
  • 41
    • 27644546267 scopus 로고    scopus 로고
    • Urban classification using full spectral information of Landsat ETM+ imagery in Marion County, Indiana
    • Lu, D., and Q. Weng. 2005. Urban classification using full spectral information of Landsat ETM+ imagery in Marion County, Indiana. Photogramm. Eng. Remote Sensing 71, 1275–1284.
    • (2005) Photogramm. Eng. Remote Sensing , vol.71 , pp. 1275-1284
    • Lu, D.1    Weng, Q.2
  • 42
    • 84865425341 scopus 로고    scopus 로고
    • Forty-year calibrated record of earth-reflected radiance from Landsat: a review
    • Markham, B. L., and D. L. Helder. 2012. Forty-year calibrated record of earth-reflected radiance from Landsat: a review. Remote Sens. Environ. 122, 30–40. doi:10.1016/j.rse.2011.06.026.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 30-40
    • Markham, B.L.1    Helder, D.L.2
  • 43
    • 43949094827 scopus 로고    scopus 로고
    • North American forest disturbance mapped from a decadal Landsat record
    • Masek, J. G., C. Huang, R. Wolfe, W. Cohen, F. Hall, J. Kutler, et al. 2008. North American forest disturbance mapped from a decadal Landsat record. Remote Sens. Environ. 112, 2914–2926. doi:10.1016/j.rse.2008.02.010.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 2914-2926
    • Masek, J.G.1    Huang, C.2    Wolfe, R.3    Cohen, W.4    Hall, F.5    Kutler, J.6
  • 44
    • 81355146459 scopus 로고    scopus 로고
    • A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests
    • Meigs, G. W., R. E. Kennedy, and W. B. Cohen. 2011. A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests. Remote Sens. Environ. 115, 3707–3718. doi:10.1016/j.rse.2011.09.009.
    • (2011) Remote Sens. Environ. , vol.115 , pp. 3707-3718
    • Meigs, G.W.1    Kennedy, R.E.2    Cohen, W.B.3
  • 45
    • 84873743206 scopus 로고    scopus 로고
    • Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
    • Melaas, E. K., M. A. Friedl, and Z. Zhu. 2013. Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data. Remote Sens. Environ. 132, 176–185. doi:10.1016/j.rse.2013.01.011.
    • (2013) Remote Sens. Environ. , vol.132 , pp. 176-185
    • Melaas, E.K.1    Friedl, M.A.2    Zhu, Z.3
  • 46
    • 0000412537 scopus 로고
    • Alteration of North American streams by beaver
    • Naiman, R. J., C. A. Johnston, and J. C. Kelley. 1988. Alteration of North American streams by beaver. BioScience. 38, 753–762. doi:10.2307/1310784.
    • (1988) BioScience. , vol.38 , pp. 753-762
    • Naiman, R.J.1    Johnston, C.A.2    Kelley, J.C.3
  • 47
    • 0036814955 scopus 로고    scopus 로고
    • Satellite remote sensing of wetlands
    • Özesmi, S. L., and M. E. Bauer. 2002. Satellite remote sensing of wetlands. Wetlands Ecol. Manage. 10, 381–402. doi:10.1023/A:1020908432489.
    • (2002) Wetlands Ecol. Manage. , vol.10 , pp. 381-402
    • Özesmi, S.L.1    Bauer, M.E.2
  • 48
    • 0001874689 scopus 로고    scopus 로고
    • Ecological resilience, biodiversity, and scale
    • Peterson, G., C. R. Allen, and C. S. Holling. 1998. Ecological resilience, biodiversity, and scale. Ecosystems 1, 6–18. doi:10.1007/s100219900002.
    • (1998) Ecosystems , vol.1 , pp. 6-18
    • Peterson, G.1    Allen, C.R.2    Holling, C.S.3
  • 49
    • 0028667905 scopus 로고
    • How unique are spectral signatures?
    • Price, J. C. 1994. How unique are spectral signatures? Remote Sens. Environ. 49, 181–186.
    • (1994) Remote Sens. Environ. , vol.49 , pp. 181-186
    • Price, J.C.1
  • 50
    • 0036788013 scopus 로고    scopus 로고
    • Statewide land cover derived from multiseasonal Landsat TM data–A retrospective of the WISCLAND project
    • Reese, H. M., T. M. Lillesand, D. E. Nagel, J. S. Stewart, R. A. Goldmann, T. E. Simmons, et al. 2002. Statewide land cover derived from multiseasonal Landsat TM data–A retrospective of the WISCLAND project. Remote Sens. Environ. 82, 224–237. doi:10.1016/S0034-4257(02)00039-1.
    • (2002) Remote Sens. Environ. , vol.82 , pp. 224-237
    • Reese, H.M.1    Lillesand, T.M.2    Nagel, D.E.3    Stewart, J.S.4    Goldmann, R.A.5    Simmons, T.E.6
  • 51
    • 0029521079 scopus 로고
    • Exploring V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities
    • Ridd, M. K. 1995. Exploring V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. Int. J. Remote Sens. 16, 2165–2185. doi:10.1080/01431169508954549.
    • (1995) Int. J. Remote Sens. , vol.16 , pp. 2165-2185
    • Ridd, M.K.1
  • 53
    • 84939641248 scopus 로고    scopus 로고
    • Land use intensity trajectories on Amazonian pastures derived from Landsat time series
    • Rufin, P., H. Müller, D. Pflugmacher, and P. Hostert. 2015. Land use intensity trajectories on Amazonian pastures derived from Landsat time series. Int. J. Appl. Earth Obs. Geoinf. 41, 1–10.
    • (2015) Int. J. Appl. Earth Obs. Geoinf. , vol.41 , pp. 1-10
    • Rufin, P.1    Müller, H.2    Pflugmacher, D.3    Hostert, P.4
  • 54
    • 84925465559 scopus 로고    scopus 로고
    • Vegetation change in salt marshes of Cape Cod National Seashore (Massachusetts, USA) between 1984 and 2013
    • Smith, S. M. 2015. Vegetation change in salt marshes of Cape Cod National Seashore (Massachusetts, USA) between 1984 and 2013. Wetlands 35, 127–136. doi:10.1007/s13157-014-0601-7.
    • (2015) Wetlands , vol.35 , pp. 127-136
    • Smith, S.M.1
  • 55
    • 84978477162 scopus 로고    scopus 로고
    • Sources of bias and variability in long-term Landsat time series over Canadian boreal forests
    • Sulla-Menashe, D., M. A. Friedl, and C. E. Woodcock. 2016. Sources of bias and variability in long-term Landsat time series over Canadian boreal forests. Remote Sens. Environ. 177, 206–219. doi:10.1016/j.rse.2016.02.041.
    • (2016) Remote Sens. Environ. , vol.177 , pp. 206-219
    • Sulla-Menashe, D.1    Friedl, M.A.2    Woodcock, C.E.3
  • 56
    • 84930626519 scopus 로고    scopus 로고
    • Free and open-access satellite data are key to biodiversity conservation
    • Turner, W., C. Rondinini, N. Pettorelli, B. Mora, A. K. Leidner, Z. Szantoi, et al. 2015. Free and open-access satellite data are key to biodiversity conservation. Biol. Conserv. 182, 173–176. doi:10.1016/j.biocon.2014.11.048.
    • (2015) Biol. Conserv. , vol.182 , pp. 173-176
    • Turner, W.1    Rondinini, C.2    Pettorelli, N.3    Mora, B.4    Leidner, A.K.5    Szantoi, Z.6
  • 58
    • 0031231182 scopus 로고    scopus 로고
    • Modeling rates of ecosystem recovery after fires by using Landsat TM data
    • Viedma, O., J. Melia, D. Segarra, and J. GarciaHaro. 1997. Modeling rates of ecosystem recovery after fires by using Landsat TM data. Remote Sens. Environ. 61, 383–398. doi:10.1016/S0034-4257(97)00048-5.
    • (1997) Remote Sens. Environ. , vol.61 , pp. 383-398
    • Viedma, O.1    Melia, J.2    Segarra, D.3    GarciaHaro, J.4
  • 59
    • 84864766187 scopus 로고    scopus 로고
    • Monitoring gradual ecosystem change using Landsat time series analyses: case studies in selected forest and rangeland ecosystems
    • Vogelmann, J. E., G. Xian, C. Homer, and B. Tolk. 2012. Monitoring gradual ecosystem change using Landsat time series analyses: case studies in selected forest and rangeland ecosystems. Remote Sens. Environ. 122, 92–105. doi:10.1016/j.rse.2011.06.027.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 92-105
    • Vogelmann, J.E.1    Xian, G.2    Homer, C.3    Tolk, B.4
  • 60
    • 0018911525 scopus 로고
    • Coniferous tree species mapping using Landsat data
    • Walsh, S. J. 1980. Coniferous tree species mapping using Landsat data. Remote Sens. Environ. 9, 11–26. doi:10.1016/0034-4257(80)90044-9.
    • (1980) Remote Sens. Environ. , vol.9 , pp. 11-26
    • Walsh, S.J.1
  • 61
    • 0028978288 scopus 로고
    • Improved forest classification in the Northern Lake-States using multitemporal landsat imagery
    • Wolter, P. T., D. J. Mladenoff, G. E. Host, and T. R. Crow. 1995. Improved forest classification in the Northern Lake-States using multitemporal landsat imagery. Photogramm. Eng. Remote Sensing 61, 1129–1143.
    • (1995) Photogramm. Eng. Remote Sensing , vol.61 , pp. 1129-1143
    • Wolter, P.T.1    Mladenoff, D.J.2    Host, G.E.3    Crow, T.R.4
  • 62
    • 46449125857 scopus 로고    scopus 로고
    • Free access to Landsat data
    • Woodcock, C. E., et al. 2008. Free access to Landsat data. Science 320, 1011. doi:10.1126/science.320.5879.1011a.
    • (2008) Science , vol.320 , pp. 1011
    • Woodcock, C.E.1
  • 64
    • 84865430209 scopus 로고    scopus 로고
    • Opening the archive: how free data has enabled the science and monitoring promise of Landsat
    • Wulder, M. A., J. G. Masek, W. B. Cohen, T. R. Loveland, and C. E. Woodcock. 2012. Opening the archive: how free data has enabled the science and monitoring promise of Landsat. Remote Sens. Environ. 122, 2–10. doi:10.1016/j.rse.2012.01.010.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 2-10
    • Wulder, M.A.1    Masek, J.G.2    Cohen, W.B.3    Loveland, T.R.4    Woodcock, C.E.5
  • 66
    • 84893747703 scopus 로고    scopus 로고
    • Continuous change detection and classification of land cover using all available Landsat data
    • Zhu, Z., and C. E. Woodcock. 2014. Continuous change detection and classification of land cover using all available Landsat data. Remote Sens. Environ. 144, 152–171.
    • (2014) Remote Sens. Environ. , vol.144 , pp. 152-171
    • Zhu, Z.1    Woodcock, C.E.2
  • 67
    • 84855430126 scopus 로고    scopus 로고
    • Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data
    • Zhu, Z., C. E. Woodcock, J. Rogan, and J. Kellndorfer. 2012a. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data. Remote Sens. Environ. 117, 72–82. doi:10.1016/j.rse.2011.07.020.
    • (2012) Remote Sens. Environ. , vol.117 , pp. 72-82
    • Zhu, Z.1    Woodcock, C.E.2    Rogan, J.3    Kellndorfer, J.4
  • 68
    • 84865438182 scopus 로고    scopus 로고
    • Continuous monitoring of forest disturbance using all available Landsat imagery
    • Zhu, Z., C. E. Woodcock, and P. Olofsson. 2012b. Continuous monitoring of forest disturbance using all available Landsat imagery. Remote Sens. Environ. 122, 75–91. doi:10.1016/j.rse.2011.10.030.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 75-91
    • Zhu, Z.1    Woodcock, C.E.2    Olofsson, P.3
  • 69
    • 67349196780 scopus 로고    scopus 로고
    • Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing
    • Zomer, R. J., A. Trabucco, and S. L. Ustin. 2009. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. J. Environ. Manage. 90, 2170–2177. doi:10.1016/j.jenvman.2007.06.028.
    • (2009) J. Environ. Manage. , vol.90 , pp. 2170-2177
    • Zomer, R.J.1    Trabucco, A.2    Ustin, S.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.