T12_Hay_GEOBIA_overview_Brazil_send_3slide

T12_Hay_GEOBIA_overview_Brazil_send_3slide - GEOgraphic...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
1 © GJHay, 2009 Geoffrey J. Hay (PhD) Geoffrey J. Hay (PhD) Department of Geography, Department of Geography, University of Calgary, University of Calgary, Alberta, Canada Alberta, Canada Email: Email: [email protected] [email protected] Web: Web: www.ucalgary.ca/f3gisci www.ucalgary.ca/f3gisci GEOgraphic Object Based GEOgraphic Object Based Image Analysis (GEOBIA): Image Analysis (GEOBIA): A Brief History and Overview A Brief History and Overview XIV SBSR, 2009 Short Course – April 25 April 25 -30, 2009 30, 2009 F 3 GISci: Foothil s Facility for Remote Sensing and GIScience © GJHay, 2009 2 Overview ± What is GEOBIA ? ± Why is GEOBIA? ± How is GEOBIA different from what was before it? ± What tools exist and what can they do? ± Where do we go from here? F 3 GISci: Foothil s Facility for Remote Sensing and GIScience © GJHay, 2009 3 What is GEOBIA? Definition: “…GEOBIA (pronounced ge-o-be-uh ) is a sub-discipline of GIScience devoted to developing automated methods to partition remote sensing imagery into meaningful image-objects , and assessing their characteristics through scale. Its primary objective is the generation of geographic information (in GIS-ready format) from which new geo-intelligence can be obtained …” Hay and Castilla, 2008 ± (GEOBIA): GEOgraphic Object-Based Image Analysis ± GEO ff’s O bject-B ased I mage A nalysis
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
2 F 3 GISci: Foothil s Facility for Remote Sensing and GIScience © GJHay, 2009 4 Why is GEOBIA? Why is GEOBIA? “…NASA’s Earth Science Program has 63 sensors bringing down terabytes of information every day, but there’s no way to ingest that data on the ground. We need to bring that rich Earth science data into the GIS community…” Jack Dangermond Co-Founder and President ESRI ± Reality: “… “… We are Geospatial -data rich, data rich, but Geo but Geo -Information (GI) poor Information (GI) poor …” …” F 3 GISci: Foothil s Facility for Remote Sensing and GIScience © GJHay, 2009 5 Remote Sensing Paradigm shift: Remote Sensing Paradigm shift: From Pixels to Objects From Pixels to Objects ± Move from a 20 year pixel- spectra based model (DN dominant) to a dynamic multiscale geo-object based contextual model. ± GOAL
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 6

T12_Hay_GEOBIA_overview_Brazil_send_3slide - GEOgraphic...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online