From Beijing 2008 to Melbourne 2012 to Prague Trends in Photogrammetry and Remote Sensing – RACURS Conference 2013 in Fontainebleau, France September 23 – 26, 2013 Presentation by Gottfried Konecny Leibniz University Hannover, Germany

1.Since the foundation of ISPRS in 1910, 22 International Congresses in Photogrammetry and Remote Sensing took place ; now they are scheduled every 4 years 2.These Congresses document the progress of the discipline 3.Progress is measured by 3 indicators: -tasks -traditions -tools 4.The tasks remained unchanged since 1850 photogrammetry began -to record, interpret and measure the environment by images, -this was required to obtain local, regional and global geoinformation, too costly and too time consuming to obtain by other means 5.Mapping became of such relevance around 1900, that a mapping profession was created 1910, the tradition of photogrammetry; but ISP(RS) already had 1910 had a section of „non-topgraphic photogrammetry“.

6.While photogrammetry still is considered as a geodetic discipline, it continues to be of service to many disciplines from archaeology, engineering, medicine 7.The tools changed in 1900 from manual graphics to mechanical instruments in 1910, to multispectral sensors in the 1950´s, to computers and space technology in the 1960´s. to digital tools for automation in the 1990´s for mapping 8.The development of these tools resulted in a duplication of effort with the computer vision community, which needed the tools for non topographic tasks

9.However, photogammerists of the new generation are in the process and have been able to master computer vision tools 10.This scenario will continue, since the tasks to record, analyze,classify and measure the environment in realtime still offer an immense challenge 11. The changes between Beijing 2008 to Prague 2016 clearly demonstrate the change of tools:

12.New Optical Sensors - digital high resolution cameras - digital medium resolution low cost cameras with oblique uses - laser scanners supplemented by optical imaging 13. New Range of Platforms - high resolution satellites with high capacity for global coverage - satellite constellations for high temporal coverage - small low cost satellites - UAV´s - terrestrial applications from mobile vans 14. New Non Optical Sensors and Hyperspectral Sensors - radar (TerraSar X, Cosmo Skymed, Tandem X) - Enmap 15. Automation of the Processing Chain - Utramap - Pixel Factory

16.3D databases 17.Automatic or Semiautomatic feature extraction 18.Improvement in the Speed and Quality of Mapping - Google Earth, Google Maps, Google Street View, Google Ground Truth - Bingmaps - Yandex 19. Intergovernmental efforts - UNGGIM (integration of geodata with statistics) - GEO (environmental research by ESA Copernicus Sentinels)

To 12: Digital High Resolution Cameras Hexagon ADS 100, DMC II, RCDMicrosoft Vexcel UltraCAM Eagle Visionmap A3

To 12: Digital (Medium Resolution) Oblique Cameras IGI Penta DigiCAM Microsoft Vexcel UltraCam Osprey

To 12: Laser Scanners supplemented with optical cameras airborne terrestrial

To 13: High Resolution Optical Satellites with high capacity

To 13: Satellite Constellations for high temporal coverage 2 of 5 Rapideye Satellites orbiting in constellation to permit daily coverage of scenes

To 13: Small Low Cost Satellites:

To 13: UAV´s:

To 13: Mobile Vans: Google Streetmap:

To 14: Radar: TerraSAR X Cosmo-Skymed TanDEM X

To 14: Enmap hyperspectral imaging satellite (Germany) simulation 2 sensors: 1)420 to 1000 nm 2)SWIR 900 to 2450 nm 244 channels, 30m GSD launch planned 2015

To 15: Automation of the Processing Chain Pixel Factory™, the industrial-scale geo-production system developed by Astrium GEO-Information Services, generates high-level 2D and 3D mapping products thanks to a revolutionary processing chain designed to handle all kinds of Earth-observation data. Space Factory (SPOT Mosaic of Spain) Sky Factory (Germany) Street Factory (Marseille)

To 15: Automation of the Processing Chain Microsoft Vexcel Ultramap

To 15: Matching Algorithms, Point Clouds, Semi Global Matching Dense Matching

To 16: 3D Databases we have in general 2D databases & 3D data models we have 3D city models for viewers, but not for object generation except for projects, even if there appears to be a need

Large civil engineering projects

Different 3D applications Source: Prov NB Source: RWS

Utilities Management Courtesy to Rotterdam municipality

To 17: Automated Feature Extraction reference : Prof. Heipke

To 18: Improvement in the Speed of Mapping as practiced by Yandex high resolution satellite image geocoding with GNSS, mapping of buildings, water, roads and parks adding names

To 19: Intergovernmental Efforts establishment of UNGGIM UN Secretariat, New York Integration of Geoinformation and Statistics Studies on the Status of Mapping Land Cover Monitoring establishment of GEO Gr oup on Earth Observations, Geneva Disaster Risk Management International Charter on Satellite Data Exchange by Space Agencies via UN-OOSA