@Article{SeeSLMFCPSZMSACVGRSMKHSVKO:2015:BuHyLa,
               author = "See, Linda and Schepaschenko, Dmitry and Lesiv, Myroslava and 
                         Mccallum, Ian and Fritz, Steffen and Comber, Alexis and Perger, 
                         Christoph and Schill, Christian and Zhao, Yuanyuan and Maus, 
                         Victor Wegner and Siraj, Muhammad Athar and Albrecht, Franziska 
                         and Cipriani, Anna and Vakolyuk, Mar'Yana and Garcia, Alfredo and 
                         Rabia, Ahmed H. and Singha, Kuleswar and Marcarini, Abel Alan and 
                         Kattenborn, Teja and Hazarika, Rubul and Schepaschenko, Maria and 
                         Van Der Velde, Marijn and Kraxner, Florian and Obersteiner, 
                         Michael",
          affiliation = "{International Institute of Applied Systems Analysis (IIASA)} and 
                         {International Institute of Applied Systems Analysis (IIASA)} and 
                         {Lviv Polytechnic National University} and {International 
                         Institute of Applied Systems Analysis (IIASA)} and {International 
                         Institute of Applied Systems Analysis (IIASA)} and {University of 
                         Leicester} and {International Institute of Applied Systems 
                         Analysis (IIASA)} and {University of Freiburg} and {Tsinghua 
                         University} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {National University of Sciences and Technology (IGIS-NUST)} 
                         and {University of Vienna} and {Universit{\`a} degli Studi di 
                         Modena e Reggio Emilia} and {International Institute of Applied 
                         Systems Analysis (IIASA)} and {National Institute of Agricultural 
                         Technology (INTA)} and {Damanhour University} and {Gauhati 
                         University} and {AgroParis Tech} and {Albert-Ludwigs-University 
                         Freiburg} and {Institute of Geological Science of the National 
                         Academy of Sciences of Ukraine} and {Russian Institute of 
                         Continuous Education in Forestry} and {International Institute of 
                         Applied Systems Analysis (IIASA)} and {International Institute of 
                         Applied Systems Analysis (IIASA)} and {International Institute of 
                         Applied Systems Analysis (IIASA)}",
                title = "Building a hybrid land cover map with crowdsourcing and 
                         geographically weighted regression",
              journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
                 year = "2015",
               volume = "103",
                pages = "48--56",
             keywords = "Land cover, Validation, Crowdsourcing, Map integration, Global 
                         land cover, Geographically weighted regression.",
             abstract = "Land cover is of fundamental importance to many environmental 
                         applications and serves as critical baseline information for many 
                         large scale models e.g. in developing future scenarios of land use 
                         and climate change. Although there is an ongoing movement towards 
                         the development of higher resolution global land cover maps, 
                         medium resolution land cover products (e.g. GLC2000 and MODIS) are 
                         still very useful for modelling and assessment purposes. However, 
                         the current land cover products are not accurate enough for many 
                         applications so we need to develop approaches that can take 
                         existing land covers maps and produce a better overall product in 
                         a hybrid approach. This paper uses geographically weighted 
                         regression (GWR) and crowdsourced validation data from Geo-Wiki to 
                         create two hybrid global land cover maps that use medium 
                         resolution land cover products as an input. Two different methods 
                         were used: (a) the GWR was used to determine the best land cover 
                         product at each location; (b) the GWR was only used to determine 
                         the best land cover at those locations where all three land cover 
                         maps disagree, using the agreement of the land cover maps to 
                         determine land cover at the other cells. The results show that the 
                         hybrid land cover map developed using the first method resulted in 
                         a lower overall disagreement than the individual global land cover 
                         maps. The hybrid map produced by the second method was also better 
                         when compared to the GLC2000 and GlobCover but worse or similar in 
                         performance to the MODIS land cover product depending upon the 
                         metrics considered. The reason for this may be due to the use of 
                         the GLC2000 in the development of GlobCover, which may have 
                         resulted in areas where both maps agree with one another but not 
                         with MODIS, and where MODIS may in fact better represent land 
                         cover in those situations. These results serve to demonstrate that 
                         spatial analysis methods can be used to improve medium resolution 
                         global land cover information with existing products.",
                  doi = "10.1016/j.isprsjprs.2014.06.016",
                  url = "http://dx.doi.org/10.1016/j.isprsjprs.2014.06.016",
                 issn = "0924-2716",
                label = "lattes: 4419790523552484 10 
                         SeeSLMFCPSZMSACVGRSMKHSVKO:2014:BuHyLa",
             language = "en",
           targetfile = "see_building.pdf",
        urlaccessdate = "30 abr. 2024"
}