Characterizing and monitoring global landscapes using GlobeLand30 datasets: the first decade of the twenty-first century

References

• Aide, T. M., M. L. Clark, H. Ricardo Grau, D. López-Carr, M. A. Levy, D. Redo, M. Bonilla-Moheno, G. Riner, M. J. Andrade-Núñez, and M. Muñiz. 2013. “Deforestation and Reforestation of Latin America and the Caribbean (2001–2010).” Biotropica 45 (2): 262–271. doi: 10.1111/j.1744-7429.2012.00908.x
   Web of Science ®Google Scholar
• Arino, O., J. J. R. Perez, V. Kalogirou, S. Bontemps, P. Defourny, and E. V. Bogaert. 2012. “Global Land Cover Map for 2009 (GlobCover 2009).” PANGAEA. doi:10.1594/PANGAEA.787668.
   Google Scholar
• Bajgiran, P. R., A. A. Darvishsefat, A. Khalili, and M. F. Makhdoum. 2008. “Using AVHRR-Based Vegetation Indices for Drought Monitoring in the Northwest of Iran.” Journal of Arid Environments 72 (6): 1086–1096. doi:10.1016/j.jaridenv.2007.12.004.
   Web of Science ®Google Scholar
• Bartholomé, E., and A. S. Belward. 2005. “GLC2000: A New Approach to Global Land Cover Mapping from Earth Observation Data.” International Journal of Remote Sensing 26 (9): 1959–1977. doi:10.1080/01431160412331291297.
   Web of Science ®Google Scholar
• Batisani, N., and B. Yarnal. 2009. “Uncertainty Awareness in Urban Sprawl Simulations: Lessons from a Small US Metropolitan Region.” Land Use Policy 26 (2): 178–185. doi:10.1016/j.landusepol.2008.01.013.
   Web of Science ®Google Scholar
• Belward, A. S., J. E. Estes, and K. D. Kline. 1999. “The IGBP-DIS Global 1-km Land-Cover Data set DISCover: A Project Overview.” Photogrammetric Engineering and Remote Sensing 65 (9): 1013–1020.
   Web of Science ®Google Scholar
• Brovelli, M., M. Molinari, E. Hussein, J. Chen, and R. Li. 2015. “The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results.” Remote Sensing 7 (4): 4191–4212. doi:10.3390/rs70404191.
   Web of Science ®Google Scholar
• Brown, G., J. M. Montag, and K. Lyon. 2012. “Public Participation GIS: A Method for Identifying Ecosystem Services.” Society and Natural Resources 25 (7): 633–651. doi:10.1080/08941920.2011.621511.
   Web of Science ®Google Scholar
• Cao, H., F. Amiraslani, J. Liu, and N. Zhou. 2015. “Identification of Dust Storm Source Areas in West Asia Using Multiple Environmental Datasets.” Science of The Total Environment 502: 224–235. doi:10.1016/j.scitotenv.2014.09.025.
   PubMed Web of Science ®Google Scholar
• Cao, X., J. Chen, L. J. Chen, A. P. Liao, F. D. Sun, Y. Li, L. Li, Z. H. Lin, Z. G. Pang, and J. Chen. 2014. “Preliminary Analysis of Spatiotemporal Pattern of Global Land Surface Water.” Science China Earth Sciences 57 (10): 2330–2339. doi: 10.1007/s11430-014-4929-x
   Web of Science ®Google Scholar
• Chen, H. 2011. Entwicklung von Verfahren zur Beurteilung und Verbesserung der Qualität von Navigationsdaten. Universität Stuttgart, Stuttgart.
   Google Scholar
• Chen, J., J. Chen, A. Liao, X. Cao, L. Chen, X. Chen, C. He, et al. 2015a. “Global Land Cover Mapping at 30m Resolution: A POK-Based Operational Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 7–27. doi:10.1016/j.isprsjprs.2014.09.002.
   Web of Science ®Google Scholar
• Chen, J., L. Chen, R. Li, A. Liao, S. Peng, N. Lu, and Y. Zhang. 2015b. “Spatial Distribution and Ten Years Change of Global Built-up Areas Derived From GlobeLand30.” Acta Geodaetica et Cartographica Sinica 44 (11): 1181–1188.
   Google Scholar
• Chen, X., J. Bai, X. Li, G. Luo, J. Li, and B. L. Li. 2013. “Changes in Land Use/Land Cover and Ecosystem Services in Central Asia During 1990–2009.” Current Opinion in Environmental Sustainability 5 (1): 116–127. doi: 10.1016/j.cosust.2012.12.005
   Web of Science ®Google Scholar
• DeFries, R. 2008. “Terrestrial Vegetation in the Coupled Human-Earth System: Contributions of Remote Sensing.” Annual Review of Environment and Resources 33: 369–390. doi: 10.1146/annurev.environ.33.020107.113339
   Web of Science ®Google Scholar
• Feng, Q., J. Gong, J. Liu, and Y. Li. 2015. “Monitoring Cropland Dynamics of the Yellow River Delta Based on Multi-Temporal Landsat Imagery Over 1986 to 2015.” Sustainability 7 (11): 14834–14858. doi:10.3390/su71114834.
   Web of Science ®Google Scholar
• Foley, J. A., R. DeFries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. Stuart Chapin, M. T. Coe, G. C. Daily, and H. K. Gibbs. 2005. “Global Consequences of Land use.” Science 309 (5734): 570–574. doi: 10.1126/science.1111772
   PubMed Web of Science ®Google Scholar
• Fonte, C. C., J. A. Patriarca, M. Minghini, V. Antoniou, L. See, and M. A. Brovelli. 2017. “Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application.” In Volunteered Geographic Information and the Future of Geospatial Data, edited by C. E. C. Campelo, M. Bertolotto, and P. Corcoran, 113–137. Hershey, PA: IGI Global. doi: 10.4018/978-1-5225-2446-5.ch007
   Google Scholar
• Foody, G. M., and D. S. Boyd. 2013. “Using Volunteered Data in Land Cover Map Validation: Mapping West African Forests.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (3): 1305–1312. doi:10.1109/JSTARS.2013.2250257.
   Web of Science ®Google Scholar
• Fritz, S., I. Mccallum, C. Schill, C. Perger, R. Grillmayer, F. Achard, F. Kraxner, M. Obersteiner, and L. Cover. 2009. “Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover.” Remote Sensing 1 (3): 345–354. doi:10.3390/rs1030345.
   Web of Science ®Google Scholar
• Fritz, S., L. See, I. McCallum, C. Schill, M. Obersteiner, M. van der Velde, H. Boettcher, P. Havlík, and F. Achard. 2011. “Highlighting Continued Uncertainty in Global Land Cover Maps for the User Community.” Environmental Research Letters 6 (4): 44005. doi:10.1088/1748-9326/6/4/044005.
   Web of Science ®Google Scholar
• Gilmore Pontius, R. Jr., D. Huffaker, and K. Denman. 2004. “Useful Techniques of Validation for Spatially Explicit Land-Change Models.” Ecological Modelling 179 (4): 445–461. http://www.sciencedirect.com/science/article/pii/S0304380004002716. doi: 10.1016/j.ecolmodel.2004.05.010
   Web of Science ®Google Scholar
• Giri, C., B. Pengra, J. Long, and T. R. Loveland. 2013. “Next Generation of Global Land Cover Characterization, Mapping, and Monitoring.” International Journal of Applied Earth Observation and Geoinformation 25 (1): 30–37. doi:10.1016/j.jag.2013.03.005.
   Google Scholar
• Gong, P., J. Wang, L. Yu, Y. Zhao, Y. Zhao, L. Liang, Z. Niu, et al. 2013. “Finer Resolution Observation and Monitoring of Global Land Cover: First Mapping Results with Landsat TM and ETM+ Data.” International Journal of Remote Sensing 34 (7): 2607–2654. doi:10.1080/01431161.2012.748992.
   Web of Science ®Google Scholar
• Han, G., J. Chen, C. He, S. Li, H. Wu, A. Liao, and S. Peng. 2015. “A Web-Based System for Supporting Global Land Cover Data Production.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 66–80. doi:10.1016/j.isprsjprs.2014.07.012.
   Web of Science ®Google Scholar
• Hansen, M. C., R. S. DeFries, J. R. G. Townshend, and R. Sohlberg. 2000. “Global Land Cover Classification at 1 km Spatial Resolution Using a Classification Tree Approach.” International Journal of Remote Sensing 21 (6–7): 1331–1364. doi: 10.1080/014311600210209
   Web of Science ®Google Scholar
• Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, and T. R. Loveland. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (6160): 850–853. doi: 10.1126/science.1244693
   PubMed Web of Science ®Google Scholar
• Hansen, M. C., and B. Reed. 2000. “A Comparison of the IGBP DISCover and University of Maryland 1 km Global Land Cover Products.” International Journal of Remote Sensing 21 (6–7): 1365–1373. doi: 10.1080/014311600210218
   Web of Science ®Google Scholar
• Higginbottom, T. P., and E. Symeonakis. 2014. “Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions.” Remote Sensing 6 (10): 9552–9575. doi: 10.3390/rs6109552
   Web of Science ®Google Scholar
• IPCC. 2007. “Climate Change 2007: The Physical Science Basis.” Agenda 6 (7): 333.
   Google Scholar
• Jokar Arsanjani, J., M. Helbich, and E. Vaz. 2013. “Spatiotemporal Simulation of Urban Growth Patterns Using Agent-Based Modeling: The Case of Tehran.” Cities 32: 33–42. doi:10.1016/j.cities.2013.01.005.
   Web of Science ®Google Scholar
• Jokar Arsanjani, T., R. Javidan, M. J. Nazemosadat, J. Jokar Arsanjani, and E. Vaz. 2015a. “Spatiotemporal Monitoring of Bakhtegan Lake’s Areal Fluctuations and an Exploration of its Future Status by Applying a Cellular Automata Model.” Computers and Geosciences 78 (0): 37–43. doi:10.1016/j.cageo.2015.02.004.
   Google Scholar
• Jokar Arsanjani, J., P. Mooney, A. Zipf, and A. Schauss. 2015b. “Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets.” In OpenStreetMap in GIScience, edited by J. Jokar Arsanjani, A. Zipf, P. Mooney, and M. Helbich, 37–58. Lecture Notes in Geoinformation and Cartography. Cham: Springer.
   Google Scholar
• Jokar Arsanjani, J., L. See, and A. Tayyebi. 2016. “Assessing the Suitability of GlobeLand30 for Mapping Land Cover in Germany.” International Journal of Digital Earth 9 (9): 873–891. doi:10.1080/17538947.2016.1151956.
   Web of Science ®Google Scholar
• Jokar Arsanjani, J., A. Tayyebi, and E. Vaz. 2016. “GlobeLand30 as an Alternative Fine-Scale Global Land Cover map: Challenges, Possibilities, and Implications for Developing Countries.” Habitat International 55: 25–31. doi: 10.1016/j.habitatint.2016.02.003
   Web of Science ®Google Scholar
• Lambin, E. F., B. L. Turner, H. J. Geist, S. B. Agbola, A. Angelsen, J. W. Bruce, O. T. Coomes, et al. 2001. “The Causes of Land-Use and Land-Cover Change: Moving Beyond the Myths.” Global Environmental Change 11 (4): 261–269. doi:10.1016/S0959-3780(01)00007-3.
   Web of Science ®Google Scholar
• Loveland, T. R., Z. Zhu, D. O. Ohlen, J. F. Brown, B. C. Reed, and L. Yang. 1999. “An Analysis of the IGBP Global Land-Cover Characterization Process.” Photogrammetric Engineering and Remote Sensing 65: 1021–1032.
   Web of Science ®Google Scholar
• Mas, J. 2004. “Modelling Deforestation Using GIS and Artificial Neural Networks.” Environmental Modelling and Software 19 (5): 461–471. doi:10.1016/S1364-8152(03)00161-0.
   Web of Science ®Google Scholar
• Miao, R., Y. Song, Z. Sun, M. Guo, Z. Zhou, and Y. Liu. 2016. “Soil Seed Bank and Plant Community Development in Passive Restoration of Degraded Sandy Grasslands.” Sustainability 8 (6): 581. doi:10.3390/su8060581.
   Web of Science ®Google Scholar
• Mosandl, R., S. Günter, B. Stimm, and M. Weber. 2008. “Ecuador Suffers the Highest Deforestation Rate in South America.” In Gradients in a Tropical Mountain Ecosystem of Ecuador, edited by E. Beck, J. Bendix, I. Kottke, F. Makeschin, and R. Mosandl, 37–40. Berlin: Springer.
   Google Scholar
• Olofsson, P., G. M. Foody, S. V. Stehman, and C. E. Woodcock. 2013. “Making Better Use of Accuracy Data in Land Change Studies: Estimating Accuracy and Area and Quantifying Uncertainty Using Stratified Estimation.” Remote Sensing of Environment 129: 122–131. doi: 10.1016/j.rse.2012.10.031
   Web of Science ®Google Scholar
• Pielke, R. A., A. Pitman, D. Niyogi, R. Mahmood, C. McAlpine, F. Hossain, K. K. Goldewijk, U. Nair, R. Betts, and S. Fall. 2011. “Land Use/Land Cover Changes and Climate: Modeling Analysis and Observational Evidence.” Wiley Interdisciplinary Reviews: Climate Change 2 (6): 828–850.
   Web of Science ®Google Scholar
• Pineda Jaimes, N. B., J. B. Sendra, M. G. Delgado, and R. F. Plata. 2010. “Exploring the Driving Forces Behind Deforestation in the State of Mexico (Mexico) Using Geographically Weighted Regression.” Applied Geography 30 (4): 576–591. doi:10.1016/j.apgeog.2010.05.004.
   Web of Science ®Google Scholar
• Reynolds, J. F., and D. M. Stafford Smith. 2002. “Do Humans Cause Deserts.” In Global Desertification: Do Humans Cause Deserts, edited by J. F. Reynolds and D. M. Stafford Smith, 1–21. Berlin: Dahlem University Press.
   Google Scholar
• Richards, P. D., R. J. Myers, S. M. Swinton, and R. T. Walker. 2012. “Exchange Rates, Soybean Supply Response, and Deforestation in South America.” Global Environmental Change 22 (2): 454–462. doi: 10.1016/j.gloenvcha.2012.01.004
   Web of Science ®Google Scholar
• Roach, J. K., B. Griffith, and D. Verbyla. 2013. “Landscape Influences on Climate-Related Lake Shrinkage at High Latitudes.” Global Change Biology 19: 2276–2284. doi:10.1111/gcb.12196.
   PubMed Web of Science ®Google Scholar
• Samadi, M., A. D. Boloorani, S. K. Alavipanah, H. Mohamadi, and M. S. Najafi. 2014. “Global Dust Detection Index (GDDI); a New Remotely Sensed Methodology for Dust Storms Detection.” Journal of Environmental Health Science and Engineering 12 (1): 20. doi: 10.1186/2052-336X-12-20
   Google Scholar
• Seto, K. C., B. Güneralp, and L. R. Hutyra. 2012. “Global Forecasts of Urban Expansion to 2030 and Direct Impacts on Biodiversity and Carbon Pools.” Proceedings of the National Academy of Sciences of the United States of America 109 (40): 16083–16088. doi:10.1073/pnas.1211658109.
   PubMed Web of Science ®Google Scholar
• Sternberg, T., R. Tsolmon, N. Middleton, and D. Thomas. 2011. “Tracking Desertification on the Mongolian Steppe Through NDVI and Field-Survey Data.” International Journal of Digital Earth 4 (1): 50–64. doi: 10.1080/17538940903506006
   Web of Science ®Google Scholar
• Tayyebi, A., B. K. Pekin, B. C. Pijanowski, J. D. Plourde, J. S. Doucette, and D. Braun. 2013. “Hierarchical Modeling of Urban Growth Across the Conterminous USA: Developing Meso-Scale Quantity Drivers for the Land Transformation Model.” Journal of Land Use Science 8 (4): 422–442. doi:10.1080/1747423X.2012.675364.
   Google Scholar
• Tayyebi, A., A. H. Tayyebi, J. Jokar Arsanjani, H. S. Moghadam, and H. Omrani. 2016. “FSAUA: A Framework for Sensitivity Analysis and Uncertainty Assessment in Historical and Forecasted Land use Maps.” Environmental Modelling and Software 84: 70–84. doi:10.1016/j.envsoft.2016.06.018.
   Web of Science ®Google Scholar
• Townshend, J. R., J. G. Masek, C. Huang, E. F. Vermote, F. Gao, S. Channan, J. O. Sexton, M. Feng, R. Narasimhan, and D. Kim. 2012. “Global Characterization and Monitoring of Forest Cover Using Landsat Data: Opportunities and Challenges.” International Journal of Digital Earth 5 (5): 373–397. doi: 10.1080/17538947.2012.713190
   Web of Science ®Google Scholar
• Turner, B. L., E. F. Lambin, and A. Reenberg. 2007. “The Emergence of Land Change Science for Global Environmental Change and Sustainability.” Proceedings of the National Academy of Sciences 104 (52): 20666–20671. doi: 10.1073/pnas.0704119104
   PubMed Web of Science ®Google Scholar
• United Nations. 2014. “World Urbanization Prospects: The 2014 Revision, Highlights.” Population Division, United Nations. http://esa.un.org/unpd/wup/Highlights/WUP2014-Highlights.pdf.
   Google Scholar
• Vaz, E. 2016. “The Future of Landscapes and Habitats: The Regional Science Contribution to the Understanding of Geographical Space.” Habitat International 51: 70–78. doi:10.1016/j.habitatint.2015.10.004.
   Web of Science ®Google Scholar
• Vaz, E., and J. Jokar Arsanjani. 2015. “Predicting Urban Growth of the Greater Toronto Area – Coupling a Markov Cellular Automata with Document Meta-Analysis.” Journal of Environmental Informatics 25 (2): 71–80. doi:10.3808/jei.201500299.
   Web of Science ®Google Scholar
• Verburg, P. H., K. Neumann, and L. Nol. 2011. “Challenges in Using Land Use and Land Cover Data for Global Change Studies.” Global Change Biology 17 (2): 974–989. doi:10.1111/j.1365-2486.2010.02307.x.
   Web of Science ®Google Scholar
• Verburg, P. H., C. J. E. Schulp, N. Witte, and A. Veldkamp. 2006. “Downscaling of Land Use Change Scenarios to Assess the Dynamics of European Landscapes.” Agriculture, Ecosystems and Environment 114 (1): 39–56. doi:10.1016/j.agee.2005.11.024.
   Web of Science ®Google Scholar
• Weber, C., and A. Puissant. 2003. “Urbanization Pressure and Modeling of Urban Growth: Example of the Tunis Metropolitan Area.” Remote Sensing of Environment 86 (3): 341–352. http://www.sciencedirect.com/science/article/pii/S0034425703000774. doi: 10.1016/S0034-4257(03)00077-4
   Web of Science ®Google Scholar