Terra-i: an eye on habitat change

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cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationNature Conservancyen
cg.contributor.affiliationHaute Ecole d'Ingénierie et de Gestion du Canton de Vauden
cg.contributor.affiliationUniversity of Londonen
cg.contributor.affiliationCGIAR Research Program on Forests, Trees and Agroforestryen
cg.contributor.crpForests, Trees and Agroforestry
cg.identifier.urlhttp://www.terra-i.org/terra-i.htmlen
cg.link.videohttp://prezi.com/tpypju84dgnk/en
cg.link.videohttp://www.slideshare.net/ciatdapa/geosuren
cg.subject.ciatCLIMATE CHANGE ADAPTATIONen
cg.subject.ciatIMPACT ASSESSMENTen
cg.subject.ciatKNOWLEDGE MANAGEMENTen
cg.subject.ciatLAND USEen
cg.subject.ciatPOLICYen
cg.subject.ciatSOIL INFORMATIONen
cg.subject.ciatSOIL LANDSCAPESen
dc.contributor.authorInternational Center for Tropical Agricultureen
dc.contributor.authorNature Conservancyen
dc.contributor.authorHaute Ecole d'Ingénierie et de Gestion du Canton de Vauden
dc.contributor.authorUniversity of Londonen
dc.contributor.authorCGIAR Research Program on Forests, Trees and Agroforestryen
dc.date.accessioned2014-09-25T14:08:55Zen
dc.date.available2014-09-25T14:08:55Zen
dc.identifier.urihttps://hdl.handle.net/10568/43735
dc.titleTerra-i: an eye on habitat changeen
dcterms.abstractTerra-i detects land-cover changes resulting from human activities in near real-time, producing updates every 16 days. It currently runs for the whole of Latin America and is being expanded over the next year to cover the entire tropics. Terra-i is a collaboration between the International Center for Tropical Agriculture (CIAT - DAPA, based in Colombia), The program on Forestry, Trees and Agroforestry (FTA) ,The Nature Conservancy (TNC, global environmental organization), the School of Business and Engineering (HEIG-VD, based in Switzerland) and King’s College London (KCL, based in the UK). The system is based on the premise that natural vegetation follows a predictable pattern of changes in greenness from one date to the next brought about by site-specific land and climatic conditions over the same period. A so-called computational neural network is ‘trained’ to understand the normal pattern of changes in vegetation greenness in relation to terrain and rainfall for a site and then marks areas as changed where the greenness suddenly changes well beyond these normal limits. Running on many computers this analysis is refreshed with new imagery every 16 days and for every 250m square of land.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationCIAT, CGIAR Research Program on Forestry, Trees and Agroforestry; The Nature Conservancy; HEIG-VD; King’s College London. 2012. Terra-i: an eye on habitat change. (Available from http://www.terra-i.org/terra-i.html).en
dcterms.issued2012
dcterms.subjectclimate changeen
dcterms.subjectcambio climaticoen
dcterms.subjectdegraded forest landen
dcterms.subjecttierras forestales degradadasen
dcterms.subjectland resourcesen
dcterms.subjectrecursos de la tierraen
dcterms.typeWebsite

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