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1
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Anthropocene: A Very Short Introduction
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Oxford University Press
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Ellis, E.C., Anthropocene: A Very Short Introduction. 2018, Oxford University Press.
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(2018)
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Ellis, E.C.1
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84951861475
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Land system science and sustainable development of the earth system: a global land project perspective
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Verburg, P.H., Crossman, N., Ellis, E.C., Heinimann, A., Hostert, P., Mertz, O., Nagendra, H., Sikor, T., Erb, K.-H., Golubiewski, N., et al. Land system science and sustainable development of the earth system: a global land project perspective. Anthropocene 12 (2015), 29–41.
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3
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Towards a normative land systems science
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Nielsen, J.Ø, Bremond, Ad, Chowdhury, R.R., Friis, C., Metternicht, G., Meyfroidt, P., Munroe, D., Pascual, U., Thomson, A., Towards a normative land systems science. Curr Opin Environ Sustain 38 (2019), 1–6.
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Nielsen, J.Ø.1
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The United Nations sustainable development goals and land system science
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Messerli, P., The United Nations sustainable development goals and land system science. Curr Opin Environ Sustain, 38, 2019.
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Curr Opin Environ Sustain
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Messerli, P.1
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5
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Dynamic trade-off analysis of multiple ecosystem services under land use change scenarios: towards putting ecosystem services into planning in Iran
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Asadolahi, Z., Salmanmahiny, A., Sakieh, Y., Mirkarimi, S.H., Baral, H., Azimi, M., Dynamic trade-off analysis of multiple ecosystem services under land use change scenarios: towards putting ecosystem services into planning in Iran. Ecol Complexity 36 (2018), 250–260.
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Ecol Complexity
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Asadolahi, Z.1
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Azimi, M.6
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Integrating spatially explicit representations of landscape perceptions into land change research
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Dorning, M.A., Van Berkel, D.B., Semmens, D.J., Integrating spatially explicit representations of landscape perceptions into land change research. Curr Landscape Ecol Rep 2 (2017), 73–88.
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Curr Landscape Ecol Rep
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Dorning, M.A.1
Van Berkel, D.B.2
Semmens, D.J.3
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85066252319
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A goal-based approach to the identification of essential transformation variables in support of the implementation of the 2030 agenda for sustainable development
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Plag, H.-P., Jules-Plag, S.-A., A goal-based approach to the identification of essential transformation variables in support of the implementation of the 2030 agenda for sustainable development. Int J Digital Earth, 2019, 1–22.
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Int J Digital Earth
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Plag, H.-P.1
Jules-Plag, S.-A.2
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85020177956
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Semantic and syntactic interoperability in online processing of big Earth observation data
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Sudmanns, M., Tiede, D., Lang, S., Baraldi, A., Semantic and syntactic interoperability in online processing of big Earth observation data. Int J Digital Earth 11 (2018), 95–112.
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Int J Digital Earth
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Sudmanns, M.1
Tiede, D.2
Lang, S.3
Baraldi, A.4
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9
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85024370305
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Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data
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Wagemann, J., Clements, O., Figuera, R.M., Rossi, A.P., Mantovani, S., Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data. Int J Digital Earth 11 (2018), 7–25.
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Int J Digital Earth
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Wagemann, J.1
Clements, O.2
Figuera, R.M.3
Rossi, A.P.4
Mantovani, S.5
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10
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85065062484
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Building a spatiotemporal index for Earth observation big data
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Xia, J.Z., Yang, C.W., Li, Q.Q., Building a spatiotemporal index for Earth observation big data. Int J Appl Earth Observ Geoinf 73 (2018), 245–252.
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Int J Appl Earth Observ Geoinf
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Xia, J.Z.1
Yang, C.W.2
Li, Q.Q.3
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11
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85146980710
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Datacubes: towards space/time analysis-ready data
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J. Döllner M. Jobst P. Schmitz Springer International Publishing
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Baumann, P., Misev, D., Merticariu, V., Huu, B.P., Datacubes: towards space/time analysis-ready data. Döllner, J., Jobst, M., Schmitz, P., (eds.)Service-oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management, 2019, Springer International Publishing, 269–299.
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Service-oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management
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Baumann, P.1
Misev, D.2
Merticariu, V.3
Huu, B.P.4
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12
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85057625652
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Digital world meets urban planet – new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge
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Esch, T., Asamer, H., Bachofer, F., Balhar, J., Boettcher, M., Boissier, E., d'Angelo, P., Gevaert, C.M., Hirner, A., Jupova, K., et al. Digital world meets urban planet – new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge. Int J Digital Earth, 2018, 1–22, 10.1080/17538947.2018.1548655.
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Int J Digital Earth
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Esch, T.1
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d'Angelo, P.7
Gevaert, C.M.8
Hirner, A.9
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2 emissions and ancillary data related to emissions for 343 cities
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2 emissions and ancillary data related to emissions for 343 cities. Sci Data, 6, 2019, 180280.
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Sci Data
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Nangini, C.1
Peregon, A.2
Ciais, P.3
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Vogel, F.5
Wang, J.6
Breon, F.M.7
Bachra, S.8
Wang, Y.L.9
Gurney, K.10
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14
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85046797675
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Spillover systems in a telecoupled Anthropocene: typology, methods, and governance for global sustainability
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This study proposes an overall goal and three general principles (fairness, responsibility, and capability)for the spillover systems, also developed a typology of spillover systems based on six criteria.
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Liu, J.G., Dou, Y., Batistella, M., Challies, E., Connor, T., Friis, C., Millington, J.D.A., Parish, E., Romulo, C.L., Silva, R.F.B., et al. Spillover systems in a telecoupled Anthropocene: typology, methods, and governance for global sustainability. Curr Opin Environ Sustain 33 (2018), 58–69 This study proposes an overall goal and three general principles (fairness, responsibility, and capability)for the spillover systems, also developed a typology of spillover systems based on six criteria.
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Curr Opin Environ Sustain
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Liu, J.G.1
Dou, Y.2
Batistella, M.3
Challies, E.4
Connor, T.5
Friis, C.6
Millington, J.D.A.7
Parish, E.8
Romulo, C.L.9
Silva, R.F.B.10
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15
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85015837966
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Using participatory mapping and a participatory geographic information system in pastoral land use investigation: Impacts of rangeland policy in Botswana
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Basupi, L.V., Quinn, C.H., Dougill, A.J., Using participatory mapping and a participatory geographic information system in pastoral land use investigation: Impacts of rangeland policy in Botswana. Land Use Policy 64 (2017), 363–373.
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Land Use Policy
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Basupi, L.V.1
Quinn, C.H.2
Dougill, A.J.3
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16
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4344700538
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The use of remote sensing to support the application of multilateral environmental agreements
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Peter, N., The use of remote sensing to support the application of multilateral environmental agreements. Space Policy 20 (2004), 189–195.
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(2004)
Space Policy
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Peter, N.1
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17
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85054075812
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Global land change from 1982 to 2016
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For first time, a comprehensive picture of global land-change dynamics from 1980s to 2010s was plotted based on satellite data analyses.
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Song, X.-P., Hansen, M.C., Stehman, S.V., Potapov, P.V., Tyukavina, A., Vermote, E.F., Townshend, J.R., Global land change from 1982 to 2016. Nature, 560, 2018, 639 For first time, a comprehensive picture of global land-change dynamics from 1980s to 2010s was plotted based on satellite data analyses.
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(2018)
Nature
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Song, X.-P.1
Hansen, M.C.2
Stehman, S.V.3
Potapov, P.V.4
Tyukavina, A.5
Vermote, E.F.6
Townshend, J.R.7
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18
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84988214289
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Global land cover mapping at 30 m resolution: a POK-based operational approach
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Chen, J., Chen, J., Liao, A.P., Cao, X., Chen, L.J., Chen, X.H., He, C.Y., Han, G., Peng, S., Lu, M., et al. Global land cover mapping at 30 m resolution: a POK-based operational approach. ISPRS J Photogramm Remote Sens 103 (2015), 7–27.
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ISPRS J Photogramm Remote Sens
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Chen, J.1
Chen, J.2
Liao, A.P.3
Cao, X.4
Chen, L.J.5
Chen, X.H.6
He, C.Y.7
Han, G.8
Peng, S.9
Lu, M.10
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19
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85057741708
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Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
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The machine learning of spectral-temporal metrics based on Landsat 8 data showed potential for annual land cover mapping in Europe, and also large survey data are important for large scale land cover mapping.
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Pflugmacher, D., Rabe, A., Peters, M., Hostert, P., Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sens Environ 221 (2019), 583–595 The machine learning of spectral-temporal metrics based on Landsat 8 data showed potential for annual land cover mapping in Europe, and also large survey data are important for large scale land cover mapping.
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Remote Sens Environ
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Pflugmacher, D.1
Rabe, A.2
Peters, M.3
Hostert, P.4
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20
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84942111632
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Virtual constellations for global terrestrial monitoring
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Wulder, M.A., Hilker, T., White, J.C., Coops, N.C., Masek, J.G., Pflugmacher, D., Crevier, Y., Virtual constellations for global terrestrial monitoring. Remote Sens Environ 170 (2015), 62–76.
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(2015)
Remote Sens Environ
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Wulder, M.A.1
Hilker, T.2
White, J.C.3
Coops, N.C.4
Masek, J.G.5
Pflugmacher, D.6
Crevier, Y.7
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21
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85021781951
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Google Earth Engine: planetary-scale geospatial analysis for everyone
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This paper systematically introduced the increasingly used planetary-scale analyses platform, Google Earth Engine, and provided a guidance for not only traditional remote sensing scientists but also wider audience.
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Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R., Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202 (2017), 18–27 This paper systematically introduced the increasingly used planetary-scale analyses platform, Google Earth Engine, and provided a guidance for not only traditional remote sensing scientists but also wider audience.
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(2017)
Remote Sens Environ
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Gorelick, N.1
Hancher, M.2
Dixon, M.3
Ilyushchenko, S.4
Thau, D.5
Moore, R.6
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22
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84887724460
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High-resolution global maps of 21st-century forest cover change
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The first global land cover change analyses based on the Google Earth Engine, focusing on global forest dynamics, which was set as a milestone for the large-scale land cover mapping and change detection from a stage of single/multiple scene-based local or regional studies to that of global scale.
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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 342 (2013), 850–853 The first global land cover change analyses based on the Google Earth Engine, focusing on global forest dynamics, which was set as a milestone for the large-scale land cover mapping and change detection from a stage of single/multiple scene-based local or regional studies to that of global scale.
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(2013)
Science
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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
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23
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85010648872
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High-resolution mapping of global surface water and its long-term changes
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Global surface water dynamics were analyzed and the water maps were shared online, which provide important data source for our understanding of regional to global surface water body changes.
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Pekel, J.F., Cottam, A., Gorelick, N., Belward, A.S., High-resolution mapping of global surface water and its long-term changes. Nature 540 (2016), 418–422 Global surface water dynamics were analyzed and the water maps were shared online, which provide important data source for our understanding of regional to global surface water body changes.
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(2016)
Nature
, vol.540
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Pekel, J.F.1
Cottam, A.2
Gorelick, N.3
Belward, A.S.4
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24
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85059796698
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The global distribution and trajectory of tidal flats
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The global tidal flats maps were delivered for first time, which provided a comprehensive picture for the coastal ecosystems and substantially advances our understanding of its distribution, trajectory and status.
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Murray, N.J., Phinn, S.R., DeWitt, M., Ferrari, R., Johnston, R., Lyons, M.B., Clinton, N., Thau, D., Fuller, R.A., The global distribution and trajectory of tidal flats. Nature 565 (2019), 222–225 The global tidal flats maps were delivered for first time, which provided a comprehensive picture for the coastal ecosystems and substantially advances our understanding of its distribution, trajectory and status.
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(2019)
Nature
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, pp. 222-225
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Murray, N.J.1
Phinn, S.R.2
DeWitt, M.3
Ferrari, R.4
Johnston, R.5
Lyons, M.B.6
Clinton, N.7
Thau, D.8
Fuller, R.A.9
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25
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85042726402
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High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
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Liu, X., Hu, G., Chen, Y., Li, X., Xu, X., Li, S., Pei, F., Wang, S., High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote Sens Environ 209 (2018), 227–239.
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(2018)
Remote Sens Environ
, vol.209
, pp. 227-239
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Liu, X.1
Hu, G.2
Chen, Y.3
Li, X.4
Xu, X.5
Li, S.6
Pei, F.7
Wang, S.8
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26
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85029910108
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Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
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Midekisa, A., Holl, F., Savory, D.J., Andrade-Pacheco, R., Gething, P.W., Bennett, A., Sturrock, H.J.W., Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. PLoS One, 12, 2017, e0184926.
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(2017)
PLoS One
, vol.12
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Midekisa, A.1
Holl, F.2
Savory, D.J.3
Andrade-Pacheco, R.4
Gething, P.W.5
Bennett, A.6
Sturrock, H.J.W.7
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27
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85060639494
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Forecasting dryland vegetation condition months in advance through satellite data assimilation
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Tian, S.Y., Van Dijk, A.I.J.M., Tregoning, P., Renzullo, L.J., Forecasting dryland vegetation condition months in advance through satellite data assimilation. Nat Commun 10 (2019), 1–7.
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(2019)
Nat Commun
, vol.10
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Tian, S.Y.1
Van Dijk, A.I.J.M.2
Tregoning, P.3
Renzullo, L.J.4
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28
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85057470709
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Satellite mapping of tillage practices in the North Central US region from 2005 to 2016
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Azzari, G., Grassini, P., Edreira, J.I.R., Conley, S., Mourtzinis, S., Lobell, D.B., Satellite mapping of tillage practices in the North Central US region from 2005 to 2016. Remote Sens Environ 221 (2019), 417–429.
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(2019)
Remote Sens Environ
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Azzari, G.1
Grassini, P.2
Edreira, J.I.R.3
Conley, S.4
Mourtzinis, S.5
Lobell, D.B.6
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29
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85040696132
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Remote sensing and cropping practices: a review
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Begue, A., Arvor, D., Bellon, B., Betbeder, J., de Abelleyra, D., Ferraz, R.P.D., Lebourgeois, V., Lelong, C., Simoes, M., Veron, S.R., Remote sensing and cropping practices: a review. Remote Sens, 10, 2018, 99.
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(2018)
Remote Sens
, vol.10
, pp. 99
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Begue, A.1
Arvor, D.2
Bellon, B.3
Betbeder, J.4
de Abelleyra, D.5
Ferraz, R.P.D.6
Lebourgeois, V.7
Lelong, C.8
Simoes, M.9
Veron, S.R.10
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30
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85047085821
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Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series
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Dara, A., Baumann, M., Kuemmerle, T., Pflugmacher, D., Rabe, A., Griffiths, P., Hölzel, N., Kamp, J., Freitag, M., Hostert, P., Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series. Remote Sens Environ 213 (2018), 49–60.
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(2018)
Remote Sens Environ
, vol.213
, pp. 49-60
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Dara, A.1
Baumann, M.2
Kuemmerle, T.3
Pflugmacher, D.4
Rabe, A.5
Griffiths, P.6
Hölzel, N.7
Kamp, J.8
Freitag, M.9
Hostert, P.10
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31
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85034634859
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Mapping pasture management in the Brazilian Amazon from dense Landsat time series
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Jakimow, B., Griffiths, P., van der Linden, S., Hostert, P., Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote Sens Environ 205 (2018), 453–468.
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(2018)
Remote Sens Environ
, vol.205
, pp. 453-468
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Jakimow, B.1
Griffiths, P.2
van der Linden, S.3
Hostert, P.4
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32
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85032290296
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Urban land use intensity assessment: the potential of spatio-temporal spectral traits with remote sensing
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Wellmann, T., Haase, D., Knapp, S., Salbach, C., Selsam, P., Lausch, A., Urban land use intensity assessment: the potential of spatio-temporal spectral traits with remote sensing. Ecol Indic 85 (2018), 190–203.
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(2018)
Ecol Indic
, vol.85
, pp. 190-203
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Wellmann, T.1
Haase, D.2
Knapp, S.3
Salbach, C.4
Selsam, P.5
Lausch, A.6
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33
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85057103756
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Mapping crop calendar events and phenology-related metrics at the parcel level by object-based image analysis (OBIA)of MODIS-NDVI time-series: a case study in central California
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de Castro, A., Six, J., Plant, R., Peña, J., Mapping crop calendar events and phenology-related metrics at the parcel level by object-based image analysis (OBIA)of MODIS-NDVI time-series: a case study in central California. Remote Sens, 10, 2018, 1745.
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(2018)
Remote Sens
, vol.10
, pp. 1745
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de Castro, A.1
Six, J.2
Plant, R.3
Peña, J.4
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34
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85040680999
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Determining the start of the growing season from MODIS data in the Indian monsoon region: identifying available data in the rainy season and modeling the varied vegetation growth trajectories
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Shang, R., Liu, R., Xu, M., Liu, Y., Dash, J., Ge, Q., Determining the start of the growing season from MODIS data in the Indian monsoon region: identifying available data in the rainy season and modeling the varied vegetation growth trajectories. Remote Sens, 10, 2018, 122.
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(2018)
Remote Sens
, vol.10
, pp. 122
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Shang, R.1
Liu, R.2
Xu, M.3
Liu, Y.4
Dash, J.5
Ge, Q.6
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35
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85011277287
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Revisiting the coupling between NDVI trends and cropland changes in the Sahel drylands: a case study in western Niger
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Tong, X.Y., Brandt, M., Hiernaux, P., Herrmann, S.M., Tian, F., Prishchepov, A.V., Fensholt, R., Revisiting the coupling between NDVI trends and cropland changes in the Sahel drylands: a case study in western Niger. Remote Sens Environ 191 (2017), 286–296.
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(2017)
Remote Sens Environ
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Tong, X.Y.1
Brandt, M.2
Hiernaux, P.3
Herrmann, S.M.4
Tian, F.5
Prishchepov, A.V.6
Fensholt, R.7
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36
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85020704376
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A global dataset of crowdsourced land cover and land use reference data
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Fritz, S., See, L., Perger, C., McCallum, I., Schill, C., Schepaschenko, D., Duerauer, M., Karner, M., Dresel, C., Laso-Bayas, J.-C., et al. A global dataset of crowdsourced land cover and land use reference data. Sci Data, 4, 2017, 170075.
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(2017)
Sci Data
, vol.4
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Fritz, S.1
See, L.2
Perger, C.3
McCallum, I.4
Schill, C.5
Schepaschenko, D.6
Duerauer, M.7
Karner, M.8
Dresel, C.9
Laso-Bayas, J.-C.10
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37
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84994667364
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Putting people in the picture: combining big location-based social media data and remote sensing imagery for enhanced contextual urban information in Shanghai
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Jendryke, M., Balz, T., McClure, S.C., Liao, M., Putting people in the picture: combining big location-based social media data and remote sensing imagery for enhanced contextual urban information in Shanghai. Comput Environ Urban Syst 62 (2017), 99–112.
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(2017)
Comput Environ Urban Syst
, vol.62
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Jendryke, M.1
Balz, T.2
McClure, S.C.3
Liao, M.4
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38
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85053347244
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Classifying drivers of global forest loss
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Curtis, P.G., Slay, C.M., Harris, N.L., Tyukavina, A., Hansen, M.C., Classifying drivers of global forest loss. Science 361 (2018), 1108–1111.
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(2018)
Science
, vol.361
, pp. 1108-1111
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Curtis, P.G.1
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