Post hoc Uncertainty Quantification for Remote Sensing Observing Systems

adVaNCed SeNSiNG FOr OCeaN OBSerViNG SySTeMS

Uncertainty in ecosystem mapping by remote sensing

The classification of remotely sensed images such as aerial photographs or satellite sensor images for deriving ecosystem-related maps (e.g., land cover, land use, vegetation, soil) is generally based on clustering of spatial entities within a spectral space. In most cases, Boolean logic is applied in order to map landscape patterns. One major concern is that this implies an ability to divide t...

A framework for the modelling of uncertainty between remote sensing and geographic information systems

Ž . This paper addresses the modelling of uncertainty in an integrated geographic information system GIS , specifically focused on the fusion of activities between GIS and remote sensing. As data is abstracted from its ‘raw’ form to the higher representations used by GIS, it passes through a number of different conceptual data models via a series of transformations. Each model and each transfor...

Active Sensing for Uncertain Systems under Bounded-uncertainty Sensing Goals

This paper considers uncertain dynamic systems in which sensing is performed upon request. We introduce the concept of an active sensing policy which evaluates the current state information and determines whether or not to request sensing information. The sensing policy considered has the goal of bounding the state uncertainty in a given direction in the state space. The policy presented is sho...

Decision support system (DSS) for site selection floodwater spreading schemes using remote sensing (RS) and geographical information systems (GIS)