{"instituterec":{"StatusID":1,"InsID":2003,"StandardName":"Afdeling Bos, Natuur en Landschap","OrigName":null,"OrigNameLangCode":null,"OrigNameLangID":null,"Acronym":"KULeuven-aBNL","HigherInsID":4676,"VlizCoreFlag":1,"AdrID":113130,"Line1":"Celestijnenlaan 200E","Line2":"3001 Leuven","Line3":null,"Line4":null,"Phone":"+32-(0)16-32 97 21","GSM":null,"Email":"sofie.bruneel@ees.kuleuven.be","Lat":"50.8630183","Lon":"4.6786526","OrigNameLang":null,"OrigNameLangNL":null,"AbstractEnglish":"Overall, the research carried out in this laboratory focuses on the spatial and quantitative assessment of biological and man-induced patterns and processes at the landscape and habitat level both in rural, urban and natural settings. ","AbstractOtherLang":"Onderzoek i.v.m. de ruimtelijke en kwantitatieve analyse van biologische en door de mens geïnduceerde patronen en processen op het niveau van landschappen en habitats, en dit zowel in rurale, stedelijke en natuurlijke omgevingen. \r\n\r\nHet onderzoek van het Laboratorium voor Bos, Natuur en Landschap is geconcentreerd op volgende thema’s: De manieren van verspreiding van planten in de natuur en de snelheid van deze verspreiding. Toepassing van deze kennis bij bosuitbreiding, natuurontwikkeling en natuurherstel. De impact van de mens op het landschap en de methodes om dit te evalueren. De sociale, ecologische en economische functies van de open ruimte.Het gebruik van aardobservatie met satellieten om nuttige informatie te bekomen over de groei en de gezondheid van natuurlijke ecosystemen.De opslag van CO2 in bossen ter vermindering van het broeikaseffect.Opslag en in relatie brengen van informatie over ecosystemen in geografische informatiesystemen.Ontwikkelen van meetinstrumenten en indicatoren voor duurzaam bosbeheer.Het onderzoek gebeurt zowel in Vlaanderen, als in andere landen van de gematigde en tropische klimaatzones (bv. VS, Zweden, Denemarken, Nederland, Ethiopië, Tanzania, Cuba, Zuid-Afrika, enz.). Er bestaan hechte samenwerkingsbanden met buitenlandse partneruniversiteiten in Europa, de VS en Afrika.","AbstractLangCode":"nl","AbstractLangID":41,"AbstractLang":"Dutch","AbstractLangNL":"Nederlands","SuccessorOfInsID":null,"DateLastModified":{"date":"2025-07-02 08:33:20.684418","timezone_type":1,"timezone":"+02:00"},"PrevIns":null,"PrevAcro":null,"PublicFlag":1,"CheckedFlag":1,"ParID":2957,"InstituteType":"Scientific","EnvName":"Belgium","ISO3166":"BE","LevelName":null,"ND":"2003-11-26","UD":"2024-04-04","EncAddress":", Celestijnenlaan 200E, 3001 Leuven, Belgium"},"parent":{"PublicFlag":1,"InsID":4676,"OrigNameLangCode":"en","OrigNameLangID":15,"FullStandardName":"Katholieke Universiteit Leuven; Departement Aard- en Omgevingswetenschappen","FullOrigName":"Katholieke Universiteit Leuven; Department of Earth and Environmental Sciences","Acronym":"KULeuven"},"institutes":[{"Acronym":"KULeuven-LBNL","InsID":10907,"FullStandardName":"Katholieke Universiteit Leuven; Departement Aard- en Omgevingswetenschappen; Afdeling Bos, natuur en landschap; Laboratory of Forest, Nature and Landscape Research","FullTitle":"Katholieke Universiteit Leuven; Departement Aard- en Omgevingswetenschappen; Afdeling Bos, natuur en landschap; Laboratory of Forest, Nature and Landscape Research"}],"references":[{"BRefID":354378,"RR":"<b>Marcheggiani, E.; Galli, A.; Melendres, O.C.; Somers, B.; García-Lahera, J.P.; De Keersmaecker, W.; Choudhury, M.A.M.</b> (2021). Monitor mangrove forest dynamics from multi-temporal landsat 8-OLI images in the southern coast of Sancti Spiritus Province (Cuba), <b><i>in</i></b>: Gervasi, O. <i>et al.</i> <i>Computational Science and Its Applications – ICCSA 2021. Lecture Notes in Computer Science,</i> 12955: pp. 169-182. <a href=\"https://dx.doi.org/10.1007/978-3-030-87007-2_13\" target=\"_blank\">https://dx.doi.org/10.1007/978-3-030-87007-2_13</a>","PeerRev":1},{"BRefID":311434,"RR":"<b>Hoa, P.V.; Giang, N.V.; Binh, N.A.; Hai, L.V.H.; Pham, T.-D.; Hasanlou, M.; Bui, D.T.</b> (2019). Soil salinity mapping using SAR Sentinel-1 data and advanced machine learning algorithms: a case study at Ben Tre Province of the Mekong River Delta (Vietnam). <i>Remote Sens. 11(2)</i>: 128. <a href=\"https://dx.doi.org/10.3390/rs11020128\" target=\"_blank\">https://dx.doi.org/10.3390/rs11020128</a>","PeerRev":1},{"BRefID":323063,"RR":"<b>Unberath, I.; Vanierschot, L.; Somers, B.; Van De Kerchove, R.; Vanden Borre, J.; Unberath, M.; Feilhauer, H.</b> (2019). Remote sensing of coastal vegetation: dealing with high species turnover by mapping multiple floristic gradients. <i>Applied Vegetation Science 22(4)</i>: 534-546. <a href=\"https://dx.doi.org/10.1111/avsc.12446\" target=\"_blank\">https://dx.doi.org/10.1111/avsc.12446</a>","PeerRev":1},{"BRefID":296125,"RR":"<b>Mereu, S.; Salvatori, E.; Fusaro, L.; Gerosa, G.; Muys, B.; Manes, F.</b> (2009). 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