Tag: <span>Remote Sensing</span>

New GEOBIA Review Publication

In October, 2019 Dr Hay co-authored an important GEOBIA review paper in the ISPRS International Journal of Geo -Information (IJGI) titled GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data”.

The objective of this paper is to review the role of spatial concepts in the understanding of image objects as the primary analytical units in semantic EO (Earth Observation) image analysis, and to identify opportunities where GEOBIA may support multi-source remote sensing analysis in the era of big EO data analytics. It also (re-) emphasizes the spatial paradigm as a key requisite for an image understanding system able to deal with and exploit the massive data streams we are currently facing.

Dave Griffith publishes MGIS research

In November 2018, David Griffith (MGIS, 2018)  published his MGIS project in the ISPRS International Journal of Geo -Information* – titled: “Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops. It was also selected as the Cover Paper for the GEOBIA 2018 Special issue (GEOBIA in a Changing World).  

The objective of this study is to evaluate operational methods for creating a particular type of urban vegetation map – one focused on vegetation over rooftops (VOR) -specifically trees that extend over urban residential buildings.

Since this time, David has accepted a full-time position at MyHEAT, as an Applied Scientist specializing in Remote Sensing and Machine Learning. Great Work Dave!