Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Brovelli, Maria, Molinari, Monia, Hussein, Eman, Chen, Jun, Li, Ran (2015) The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results. Remote Sensing, 7 (4). doi:10.3390/rs70404191

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleThe First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results
JournalRemote Sensing
AuthorsBrovelli, MariaAuthor
Molinari, MoniaAuthor
Hussein, EmanAuthor
Chen, JunAuthor
Li, RanAuthor
Year2015 (April 8)Volume7
Issue4
PublisherMDPI AG
DOIdoi:10.3390/rs70404191Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17804583Long-form Identifiermindat:1:5:17804583:8
GUID0
Full ReferenceBrovelli, Maria, Molinari, Monia, Hussein, Eman, Chen, Jun, Li, Ran (2015) The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results. Remote Sensing, 7 (4). doi:10.3390/rs70404191
Plain TextBrovelli, Maria, Molinari, Monia, Hussein, Eman, Chen, Jun, Li, Ran (2015) The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results. Remote Sensing, 7 (4). doi:10.3390/rs70404191
In(2015, April) Remote Sensing Vol. 7 (4). MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Wu, Guiping, Liu, Yuanbo (2015) Downscaling Surface Water Inundation from Coarse Data to Fine-Scale Resolution: Methodology and Accuracy Assessment. Remote Sensing, 7 (12). doi:10.3390/rs71215813
Monti-Guarnieri, Andrea Virgilio, Brovelli, Maria Antonia, Manzoni, Marco, Mariotti d'Alessandro, Mauro, Molinari, Monia Elisa, Oxoli, Daniele (2018) Coherent Change Detection for Multipass SAR. IEEE Transactions on Geoscience and Remote Sensing, 56 (11) 6811-6822 doi:10.1109/tgrs.2018.2843560
Manzoni, Marco, Molinari, Monia Elisa, Monti-Guarnieri, Andrea (2021) Multitemporal InSAR Coherence Analysis and Methods for Sand Mitigation. Remote Sensing, 13 (7). doi:10.3390/rs13071362
Brovelli, Maria, Zamboni, Giorgio (2018) A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints. ISPRS International Journal of Geo-Information, 7. 289pp. doi:10.3390/ijgi7080289
Oxoli, Daniele, Ronchetti, Giulia, Minghini, Marco, Molinari, Monia, Lotfian, Maryam, Sona, Giovanna, Brovelli, Maria (2018) Measuring Urban Land Cover Influence on Air Temperature through Multiple Geo-Data—The Case of Milan, Italy. ISPRS International Journal of Geo-Information, 7. 421pp. doi:10.3390/ijgi7110421
Rada Giacaman, Camilo Andrés (2022) High-Precision Measurement of Height Differences from Shadows in Non-Stereo Imagery: New Methodology and Accuracy Assessment. Remote Sensing, 14 (7). doi:10.3390/rs14071702
Brovelli, Maria Antonia, Crespi, Mattia, Fratarcangeli, Francesca, Giannone, Francesca, Realini, Eugenio (2008) Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method. ISPRS Journal of Photogrammetry and Remote Sensing, 63 (4) 427-440 doi:10.1016/j.isprsjprs.2008.01.006
Wang, Yu, Zhang, Jingxiong, Liu, Di, Yang, Wenjing, Zhang, Wangle (2018) Accuracy Assessment of GlobeLand30 2010 Land Cover over China Based on Geographically and Categorically Stratified Validation Sample Data. Remote Sensing, 10 (8). doi:10.3390/rs10081213
Castilla, Guillermo (2016) We Must all Pay More Attention to Rigor in Accuracy Assessment: Additional Comment to “The Improvement of Land Cover Classification by Thermal Remote Sensing”. Remote Sens. 2015, 7, 8368–8390. Remote Sensing, 8 (4). doi:10.3390/rs8040288
Gu, Jianyu, Congalton, Russell, Pan, Yaozhong (2015) The Impact of Positional Errors on Soft Classification Accuracy Assessment: A Simulation Analysis. Remote Sensing, 7 (1). doi:10.3390/rs70100579
Stehman, S.V., Wickham, J.D, Smith, J.H., Yang, L. (2003) Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results. Remote Sensing of Environment, 86 (4). 500-516 doi:10.1016/s0034-4257(03)00128-7
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 28, 2025 19:33:25
Go to top of page