Thematic Processing, Modeling and Analysis of Remotely Sensed Data

Terms of Reference

• Relationship between spectral, radiometric and temporal properties of objects and surfaces, their physical and chemical properties and their variations;
• Image classification and analysis methodologies;
• Analysis of characteristics of multi-spectral, hyperspectral, multi-sensor, microwave and multitemporal image data for extraction of attribute information;
• Methodologies of computer-assisted interpretation and analysis of remotely sensed data;
• Validation of data and information using laboratory and in-situ methodologies
• Improving atmospheric modelling for radiometric correction;
• Multi-source data fusion and integration techniques;
• Modelling of satellite data derived parameters
• Global databases and determination of indicators of change for global modelling, monitoring and sustainable development
• Integration of remote sensing and GIS techniques;
• Aerosol and particulate detection and identification.

WORKING GROUPS of ISPRS COMMISSION VII

• WG VII/1 - Physical Modelling and Signatures in Remote Sensing
• WG VII/2 - SAR Interferometry
• WG VII/3 - Information Extraction from Hyperspectral Data
• WG VII/4 - Methods for Land Cover Classification
• WG VII/5 - Methods for Change Detection and Process Modelling
• WG VII/6 - Remote Sensing Data Fusion
• WG VII/7 - Theory and Experiments in Radar and Lidar

WG VII/1 - Physical Modelling and Signatures in Remote Sensing

WG VII/1  Terms of Reference

• Study the relationship of spectral, directional, temporal and polarimetric properties of objects, as well as their physical and chemical properties and variations
• Research on advanced quantitative, physical based retrieval of biophysical and biochemical parameters
• Research of methods based on full spectral signatures using assimilation, inversion and neural networks
• Study spectrodirectional ('the combination of multiple view angles with imaginary spectrometers') data acquisition potential and subsequent retrieval methods

WG VII/2 - SAR Interferometry

WG VII/2  Terms of Reference

• Generation and evaluation of DEMs derived by interferometric processing of airborne and spaceborne SAR imagery
• Object extraction from InSAR data
• Differential SAR Interferometry and Persistent Scatterer Interferometry
• Ground based SAR Interferometry

WG VII/3 - Information Extraction from Hyperspectral Data

WG VII/3  Terms of Reference

• Ground based validation and radiometric calibration of hyperspectral data
• Optical, NIR, SWIR and thermal imaging spectroscopy
• Operationalising and standardising (pre-)processing and methodological approaches
• Atmospheric parameter retrieval and atmospheric corrections
• Data and sensor fusion for improved parameter retrieval (combination with other remote sensing data (lidar, SAR, multi-angular) and a priori information)
• Mixture models for data analysis
• Data compression and band selection algorithms

WG VII/4 - Methods for Land Cover Classification

WG VII/4  Terms of Reference

• Image classification techniques and new algorithms for the extraction of thematic information including pixel-based classification, object-based classification, and artificial intelligent based classification, and synergism between classification approaches
• Image analysis methodologies for thematic information extraction including context analysis, texture analysis, image segmentation, and other analysis
• Advanced and practical methodologies of Computer Assisted Interpretation (CAI) and analysis of remotely sensed data, including expert systems and knowledge based tools to help the human interpretation of images
• Enhanced methodologies for thematic data extraction using emerging sensor data sources, multiple view sensors and thermal sensors
• New methodologies for classification quality assessment

WG VII/5 - Methods for Change Detection and Process Modelling

WG VII/5  Terms of Reference

• Analysis of characteristics of multitemporal data for extraction of attribute information
• Methodologies of computer assisted interpretation and analysis of multitemporal data
• Temporal pattern recognition and time series analysis and Modelling
• Methodologies for global monitoring, Modelling and prediction
• Methodologies for extracting essential climate variables from long-term satellite observations
• Algorithms and methods for monitoring and tracking changing objects
• Data integration and change detection for updating

WG VII/6 - Remote Sensing Data Fusion

WG VII/6  Terms of Reference

• Automatic registration of images with different sensor, different resolution and different acquisition mode.
• Concept study and methodology development of data fusion at different processing levels, especially at feature and decision level.
• Multi-source/multi-sensor data fusion and integration methodologies, such as fusing laser scanning data with images, fusing high-resolution satellite optical imagery with high-resolution SAR imagery, etc.
• Applications of data fusion to feature extraction, object recognition, classification, mapping, disaster monitoring, change detection, etc.
• Information mining from multi-platform, multi-source, multi-scale, spatial-temperal data, e.g, geometric information, topological information, statistical information, etc.

WG VII/7 - Theory and Experiments in Radar and Lidar

WG VII/7  Terms of Reference

• Polarimetric radar remote sensing for the retrieval of geophysical parameters
• Full-waveform laser scanning
• Radiometric calibration in radar and lidar remote sensing
• Scaling in radar and lidar remote sensing
• Physical radar and lidar backscatter models
• Experiments using both radar and lidar
• Synergetic use of lidar and radar for retrieval of geophysical parameters
• Multitemporal radar and lidar remote sensing
• Terrestrial measurements for validation and calibration