02425nas0-22004691i-450-99000115290020331620161108093431.01723-9109000115290USA01000115290(ALEPH)000115290USA0100011529020030610a----9999---y0itay0103----baitaaia----||||Tangramrivista di cultura ludicaSarnoTipolitografia G. Dolgettav.ill20 cmComincia nel 2002Descrizione basata su: A.2, n.4 (gen.-apr. 2003)[Varianti di dama]QuadrimestraleLa rivista prende il nome da un gioco antico che consiste nel comporre con sette figure geometriche una varietà infinita di figure. Allo stesso modo ci si propone di evidenziare le infinite possibilità, tipologie e potenzialità del gioco; collegare le politiche sociali e culturali al mondo strettamente ludico in un puzzle creativo quale è appunto il gioco del Tangram. Il riferimento a Tangram dà anche l'idea della "rete" dei collaboratori che si sta costruendo in Italia intorno alla rivista, una rete spontanea e amichevole di appassionati e studiosi del gioco.GiochiPeriodici793ITsalbcISBDhttp://www.rivistatangram.com/.Sommari990001152900203316UMAPer VI 8A.2, n.4 (gen.-apr. 2003)-SEANNAPIA9020030610USA011057ANNAPIA9020030610USA011158ANNAPIA9020031010USA011029PATRY9020040406USA011721VITTORIANA9020050608USA011134VITTORIANA9020110512USA010947PATRY9020161108USA010933PATRY9020161108USA010934Tangram983501UNISAUSA50AdministrativeISSUEUMAUMAPer VI 8143191-102004031920032509NON PrestabileA.2, n.4-5 (2003) Varianti di dama200312192003121920040319USA50AdministrativeISSUEUMAUMAPer VI 8143191-202004031920043609NON PrestabileA.3, n.6 (2004)200406192004061920040319USA50AdministrativeISSUEUMAUMAPer VI 8143191-302004031920043709NON PrestabileA.3, n.7 (2004)200412192004121903468nam 2201021z- 450 991055776500332120210501(CKB)5400000000045711(oapen)https://directory.doabooks.org/handle/20.500.12854/69282(oapen)doab69282(oapen)69282(EXLCZ)99540000000004571120202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Remote Sensing-based Disaster Monitoring and AssessmentBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (232 p.)3-03943-322-9 3-03943-323-7 Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.Research and information: generalbicsscaccelerometer sensoranomaly detectionBeijing urban areabuilding constructionburn indexchaparral ecosystemChinacompressible sediment layerdebris flowdeep learningdeep neural networkdisaster monitoringdryness monitoringempirical model functionflash floodfloodplain delineationforest fireforest recoverygross primary productiongroundwater levelHimawari-8Himawari-8 AHIinaccessible regionland subsidenceLandsat-8live fuel moistureLSSVMmachine learningMODISn/aNIR-Red spectral spacePEPS-InSARrandom forestremote sensingrisksatellite remote sensingsatellite vegetation indicesSDEsoil moistureSouth KoreaSouthern Californiathreshold-based algorithmtotal precipitable watertropical cyclone formationuneven settlementvegetation indexwildfireWindSatwireless sensor networkXGBoostXinjiang province of ChinaResearch and information: generalIm Junghoedt1309870Park HaemiedtTakeuchi WataruedtIm JunghoothPark HaemiothTakeuchi WataruothBOOK9910557765003321Advances in Remote Sensing-based Disaster Monitoring and Assessment3029684UNINA