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Volumn 190, Issue , 2015, Pages 34-42

Land cover mapping and data availability in critical terrestrial ecoregions: A global perspective with Landsat thematic mapper and enhanced thematic mapper plus data

Author keywords

Data availability; Land cover; Landsat; Remote sensing

Indexed keywords

BIODIVERSITY; CONSERVATION PLANNING; DATA SET; DECISION MAKING; ECOREGION; ENVIRONMENTAL MONITORING; GLOBAL PERSPECTIVE; IMAGE ANALYSIS; LAND COVER; LAND USE CHANGE; LANDSAT; SATELLITE IMAGERY; TERRESTRIAL ECOSYSTEM; VEGETATION MAPPING;

EID: 84930666001     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biocon.2015.05.009     Document Type: Article
Times cited : (31)

References (61)
  • 2
    • 84939939818 scopus 로고    scopus 로고
    • Global land cover mapping using Earth observation satellite data: recent progresses and challenges
    • Ban Y., Gong P., Giri C. Global land cover mapping using Earth observation satellite data: recent progresses and challenges. ISPRS J. Photogr. Remote Sens. 2015, 10.1016/j.isprsjprs.2015.01.001.
    • (2015) ISPRS J. Photogr. Remote Sens.
    • Ban, Y.1    Gong, P.2    Giri, C.3
  • 3
    • 84865023353 scopus 로고    scopus 로고
    • Preparing landsat image time series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia
    • Bhandari S., Phinn S., Gill T. Preparing landsat image time series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia. Remote Sens. 2012, 4:1856-1886.
    • (2012) Remote Sens. , vol.4 , pp. 1856-1886
    • Bhandari, S.1    Phinn, S.2    Gill, T.3
  • 4
    • 0344496667 scopus 로고    scopus 로고
    • Landsat coverage of the Earth at high latitudes
    • Bindschadler R. Landsat coverage of the Earth at high latitudes. Photogr. Eng. Remote Sens. 2003, 69(12):1333-1339.
    • (2003) Photogr. Eng. Remote Sens. , vol.69 , Issue.12 , pp. 1333-1339
    • Bindschadler, R.1
  • 5
    • 79960831514 scopus 로고    scopus 로고
    • Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program
    • Boryan C., Yang Z., Mueller R., Craig M. Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program. Ceocarto Int. 2011, 26(5):341-358.
    • (2011) Ceocarto Int. , vol.26 , Issue.5 , pp. 341-358
    • Boryan, C.1    Yang, Z.2    Mueller, R.3    Craig, M.4
  • 6
    • 84899797639 scopus 로고    scopus 로고
    • High-resolution satellite imagery is an important yet underutilized resource in conservation biology
    • Boyle S.A., Kennedy C.M., Torres J., Colman K., Perez-Estigarribia P.E., de la Sancha N.U. High-resolution satellite imagery is an important yet underutilized resource in conservation biology. PLoS ONE 2014, 9(1):e86908.
    • (2014) PLoS ONE , vol.9 , Issue.1 , pp. e86908
    • Boyle, S.A.1    Kennedy, C.M.2    Torres, J.3    Colman, K.4    Perez-Estigarribia, P.E.5    de la Sancha, N.U.6
  • 7
    • 0027009304 scopus 로고
    • A comparison of SPOT and Landsat-TM data for use in conducting inventories of forest resources
    • Brockhaus J.A., Khorram S. A comparison of SPOT and Landsat-TM data for use in conducting inventories of forest resources. Int. J. Remote Sens. 1992, 13:3035-3043.
    • (1992) Int. J. Remote Sens. , vol.13 , pp. 3035-3043
    • Brockhaus, J.A.1    Khorram, S.2
  • 8
    • 62549151267 scopus 로고    scopus 로고
    • Delivering a global, terrestrial, biodiversity observation system through remote sensing
    • Buchanan G.M., Nelson A., Mayaux P., Hartley A., Donald P.F. Delivering a global, terrestrial, biodiversity observation system through remote sensing. Conserv. Biol. 2009, 23(2):499-502.
    • (2009) Conserv. Biol. , vol.23 , Issue.2 , pp. 499-502
    • Buchanan, G.M.1    Nelson, A.2    Mayaux, P.3    Hartley, A.4    Donald, P.F.5
  • 10
    • 80555135455 scopus 로고    scopus 로고
    • A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
    • Chen J., Zhu X., Vogelmann J.E., Gao F., Jin S. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images. Remote Sens. Environ. 2011, 115:1053-1064.
    • (2011) Remote Sens. Environ. , vol.115 , pp. 1053-1064
    • Chen, J.1    Zhu, X.2    Vogelmann, J.E.3    Gao, F.4    Jin, S.5
  • 13
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance
    • Gao F., Masek J., Schwaller M., Hall F. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance. IEEE Trans. Geosci. Remote Sens. 2006, 44:2207-2218.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 17
    • 22744446873 scopus 로고    scopus 로고
    • Thirty years of analyzing and modelling avian habitat relationships using satellite imagery data: a review
    • 2631-2356
    • Gottschalk T.K., Huettmann F., Ehlers M. Thirty years of analyzing and modelling avian habitat relationships using satellite imagery data: a review. Int. J. Remote Sens. 2005, 26(12). 2631-2356.
    • (2005) Int. J. Remote Sens. , vol.26 , Issue.12
    • Gottschalk, T.K.1    Huettmann, F.2    Ehlers, M.3
  • 18
    • 0033673965 scopus 로고    scopus 로고
    • Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots
    • Gould W. Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots. Ecol. Appl. 2000, 10(6):1861-1870.
    • (2000) Ecol. Appl. , vol.10 , Issue.6 , pp. 1861-1870
    • Gould, W.1
  • 19
    • 33749991809 scopus 로고    scopus 로고
    • Historical record of Landsat global coverage: mission operations, NSLRSDA, and international cooperator stations
    • Goward S., Arvidson T., Willioams D., Faundeen J., Irons J., Franks S. Historical record of Landsat global coverage: mission operations, NSLRSDA, and international cooperator stations. Photogr. Eng. Remote Sens. 2006, 72(10):1155-1169.
    • (2006) Photogr. Eng. Remote Sens. , vol.72 , Issue.10 , pp. 1155-1169
    • Goward, S.1    Arvidson, T.2    Willioams, D.3    Faundeen, J.4    Irons, J.5    Franks, S.6
  • 21
    • 41249085127 scopus 로고    scopus 로고
    • Some challenges in global land cover mapping: an assessment of agreement and accuracy in existing 1 km datasets
    • Herold M., Mayaux P., Woodcock C.E., Baccini A., Schmullius C. Some challenges in global land cover mapping: an assessment of agreement and accuracy in existing 1 km datasets. Remote Sens. Environ. 2008, 112:2538-2556.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 2538-2556
    • Herold, M.1    Mayaux, P.2    Woodcock, C.E.3    Baccini, A.4    Schmullius, C.5
  • 22
    • 67651113818 scopus 로고    scopus 로고
    • Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model
    • Hilker T., Wulder M.A., Coops N.C., Seitz N., White J.C., Gao F., Masek J.G., Stenhouse G. Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model. Remote Sens. Environ. 2009, 113:1988-1999.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 1988-1999
    • Hilker, T.1    Wulder, M.A.2    Coops, N.C.3    Seitz, N.4    White, J.C.5    Gao, F.6    Masek, J.G.7    Stenhouse, G.8
  • 24
    • 70350050130 scopus 로고    scopus 로고
    • An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
    • Huang C., Goward S.N., Masek J.G., Thomas N., Zhu Z., Vogelmann J.E. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sens. Environ. 2010, 114:183-198.
    • (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
  • 25
    • 39749112645 scopus 로고    scopus 로고
    • The availability of could-free Landsat ETM+ data over the conterminous United States and globally
    • Ju J., Roy D.P. The availability of could-free Landsat ETM+ data over the conterminous United States and globally. Remote Sens. Environ. 2008, 112:1196-1211.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1196-1211
    • Ju, J.1    Roy, D.P.2
  • 26
    • 77956882349 scopus 로고    scopus 로고
    • Detecting trends in forest disturbance and recovery using yearly Lansdat time series: 1. LandTrendr - temporal segmentation algorithms
    • Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly Lansdat time series: 1. LandTrendr - temporal segmentation algorithms. Remote Sens. Environ. 2010, 114:2897-2910.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 2897-2910
    • Kennedy, R.E.1    Yang, Z.2    Cohen, W.B.3
  • 27
    • 0037500103 scopus 로고    scopus 로고
    • From space to species: ecological applications for remote sensing
    • Kerr J.T., Ostrovsky M. From space to species: ecological applications for remote sensing. Trends Ecol. Evol. 2003, 18(6):299-305.
    • (2003) Trends Ecol. Evol. , vol.18 , Issue.6 , pp. 299-305
    • Kerr, J.T.1    Ostrovsky, M.2
  • 28
    • 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., Roy D.P. 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. 2013, 130:280-293.
    • (2013) Remote Sens. Environ. , vol.130 , pp. 280-293
    • Kovalskyy, V.1    Roy, D.P.2
  • 29
    • 84930647630 scopus 로고    scopus 로고
    • Satellite remote sensing for biodiversity research and conservation applications: a Committee on Earth Observation Satellites (CEOS) workshop
    • Leidner, A.K., Turner, W., Pettorelli, N., Leimgruber, P., Wegmann, M., 2012. Satellite remote sensing for biodiversity research and conservation applications: a Committee on Earth Observation Satellites (CEOS) workshop. <>. http://remote-sensing-biodiversity.org/images/workshops/ceos/CEOS_SBA_Biodiversity_WorkshopReport_Oct2012_DLR_Munich.pdf.
    • (2012)
    • Leidner, A.K.1    Turner, W.2    Pettorelli, N.3    Leimgruber, P.4    Wegmann, M.5
  • 33
    • 0036071341 scopus 로고    scopus 로고
    • The Global 200: priority ecoregions for global conservation
    • Olson D.M., Dinerstein E. The Global 200: priority ecoregions for global conservation. Ann. Mo. Bot. Gard. 2002, 89(2):199-224.
    • (2002) Ann. Mo. Bot. Gard. , vol.89 , Issue.2 , pp. 199-224
    • Olson, D.M.1    Dinerstein, E.2
  • 35
    • 84898440940 scopus 로고    scopus 로고
    • Satellite remote sensing, biodiversity research and conservation of the future
    • Pettorelli N., Safi K., Turner W. Satellite remote sensing, biodiversity research and conservation of the future. Phil. Trans. R. Soc. B 2014, 369:20130190.
    • (2014) Phil. Trans. R. Soc. B , vol.369 , pp. 20130190
    • Pettorelli, N.1    Safi, K.2    Turner, W.3
  • 36
  • 37
    • 44149102637 scopus 로고    scopus 로고
    • Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data
    • Roy D.P., Ju J., Lewis P., Schaaf C., Gao F., Hansen M., Lindquist E. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data. Remote Sens. Environ. 2008, 112:3112-3130.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 3112-3130
    • Roy, D.P.1    Ju, J.2    Lewis, P.3    Schaaf, C.4    Gao, F.5    Hansen, M.6    Lindquist, E.7
  • 40
    • 84945468350 scopus 로고    scopus 로고
    • Earth observation for biodiversity monitoring: a review of current approaches and future opportunities for tracking progress towards the Aichi Biodiversity Targets
    • Secretariat of the Convention on Biological Diversity, Montréal, Canada. Technical Series No. 72
    • Secades, C., O'Connor, B., Brown, C., Walpole, M., 2014. Earth observation for biodiversity monitoring: a review of current approaches and future opportunities for tracking progress towards the Aichi Biodiversity Targets. Secretariat of the Convention on Biological Diversity, Montréal, Canada. Technical Series No. 72, 183 p.
    • (2014) , pp. 183
    • Secades, C.1    O'Connor, B.2    Brown, C.3    Walpole, M.4
  • 42
    • 27944490288 scopus 로고    scopus 로고
    • Integrating habitat status, human population pressure, and protection status into biodiversity conservation priority setting
    • Shi H., Singh A., Kant S., Zhu Z., Waller E. Integrating habitat status, human population pressure, and protection status into biodiversity conservation priority setting. Conserv. Biol. 2005, 19(4):127-1285.
    • (2005) Conserv. Biol. , vol.19 , Issue.4 , pp. 127-1285
    • Shi, H.1    Singh, A.2    Kant, S.3    Zhu, Z.4    Waller, E.5
  • 44
    • 84901596189 scopus 로고    scopus 로고
    • Comment on "high-resolution global maps of 21st-century forest cover change"
    • Tropek R., Sedlacek O., Beck J., Keil P., Musilova Z., Simova I., Storch D. Comment on "high-resolution global maps of 21st-century forest cover change". Science 2014, 344(6187):981.
    • (2014) Science , vol.344 , Issue.6187 , pp. 981
    • Tropek, R.1    Sedlacek, O.2    Beck, J.3    Keil, P.4    Musilova, Z.5    Simova, I.6    Storch, D.7
  • 45
    • 84905904405 scopus 로고    scopus 로고
    • A global 1-km consensus land-cover product for biodiversity and ecosystem modelling
    • Tuanmu M.-N., Jetz W. A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Glob. Ecol. Biogeogr. 2014, 10.1111/geb.12182.
    • (2014) Glob. Ecol. Biogeogr.
    • Tuanmu, M.-N.1    Jetz, W.2
  • 46
    • 84908020857 scopus 로고    scopus 로고
    • Sensing biodiversity
    • Turner W. Sensing biodiversity. Science 2014, 346(6207):301-302.
    • (2014) Science , vol.346 , Issue.6207 , pp. 301-302
    • Turner, W.1
  • 49
    • 49749115151 scopus 로고    scopus 로고
    • Phase 2 gap-fill algorithm: SLC-off gap-filled products gap-fill algorithm methodology
    • (accessed 10.03.13).
    • USGS, 2004. Phase 2 gap-fill algorithm: SLC-off gap-filled products gap-fill algorithm methodology. <> (accessed 10.03.13). http://landsat.usgs.gov/documents/L7SLCGapFilledMethod.pdf.
    • (2004)
  • 50
    • 84870675800 scopus 로고    scopus 로고
    • Overcoming limitations with Landsat imagery for mapping of peat swamp forests in Sundaland
    • 2959-2618
    • Wijedasa L.S., Sloan S., Michelakis D.G., Clements G.R. Overcoming limitations with Landsat imagery for mapping of peat swamp forests in Sundaland. Remote Sens. 2012, 4. 2959-2618.
    • (2012) Remote Sens. , vol.4
    • Wijedasa, L.S.1    Sloan, S.2    Michelakis, D.G.3    Clements, G.R.4
  • 51
    • 84920109645 scopus 로고    scopus 로고
    • Remote sensing change detection for ecological monitoring in United States protected areas
    • Wills K.S. Remote sensing change detection for ecological monitoring in United States protected areas. Biol. Conserv. 2015, 182:233-242.
    • (2015) Biol. Conserv. , vol.182 , pp. 233-242
    • Wills, K.S.1
  • 53
    • 84888134923 scopus 로고    scopus 로고
    • FROM-GC: 30m global cropland extent derived through multi-source data integration
    • Yu L., Wang J., Clinton N., Xin Q., Zhong L., Chen Y., Gong P. FROM-GC: 30m global cropland extent derived through multi-source data integration. Int. J. Digital Earth 2013, 6(6):521-533.
    • (2013) Int. J. Digital Earth , vol.6 , Issue.6 , pp. 521-533
    • Yu, L.1    Wang, J.2    Clinton, N.3    Xin, Q.4    Zhong, L.5    Chen, Y.6    Gong, P.7
  • 54
    • 84879047611 scopus 로고    scopus 로고
    • Improving 30 meter global land cover map FROM-GLC with time series MODIS and auxiliary datasets: a segmentation based approach
    • Yu L., Wang J., Gong P. Improving 30 meter global land cover map FROM-GLC with time series MODIS and auxiliary datasets: a segmentation based approach. Int. J. Remote Sens. 2013, 34(16):5851-5867.
    • (2013) Int. J. Remote Sens. , vol.34 , Issue.16 , pp. 5851-5867
    • Yu, L.1    Wang, J.2    Gong, P.3
  • 56
    • 84930660830 scopus 로고    scopus 로고
    • A multi-resolution global land cover dataset through multisource data aggregation
    • Yu L., Wang J., Li X., Li C., Gong P. A multi-resolution global land cover dataset through multisource data aggregation. Sci. China Earth Sci. 2014, 44(8):1646-1660.
    • (2014) Sci. China Earth Sci. , vol.44 , Issue.8 , pp. 1646-1660
    • Yu, L.1    Wang, J.2    Li, X.3    Li, C.4    Gong, P.5
  • 57
    • 84872720657 scopus 로고    scopus 로고
    • Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method
    • Zeng C., Shen H., Zhang L. Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method. Remote Sens. Environ. 2013, 131:182-194.
    • (2013) Remote Sens. Environ. , vol.131 , pp. 182-194
    • Zeng, C.1    Shen, H.2    Zhang, L.3
  • 59
    • 84861393217 scopus 로고    scopus 로고
    • A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images
    • Zhu X., Liu D., Chen J. A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images. Remote Sens. Environ. 2012, 124:49-60.
    • (2012) Remote Sens. Environ. , vol.124 , pp. 49-60
    • Zhu, X.1    Liu, D.2    Chen, J.3
  • 60
    • 84865438182 scopus 로고    scopus 로고
    • Continuous monitoring of forest disturbance using all available Landsat imagery
    • Zhu Z., Woodcock C.E., Olofsson P. Continuous monitoring of forest disturbance using all available Landsat imagery. Remote Sens. Environ. 2012, 122:75-91.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 75-91
    • Zhu, Z.1    Woodcock, C.E.2    Olofsson, P.3
  • 61
    • 84855430126 scopus 로고    scopus 로고
    • Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landat and SAR data
    • Zhu Z., Woodcock C.E., Rogan J., Kellndorfer J. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landat and SAR data. Remote Sens. Environ. 2012, 117:72-82.
    • (2012) Remote Sens. Environ. , vol.117 , pp. 72-82
    • Zhu, Z.1    Woodcock, C.E.2    Rogan, J.3    Kellndorfer, J.4


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