Uncertainty Propagation of Atmospheric Correction Parameters


The main objective of this thesis was to quantify the propagation of uncertainty in a layered processing system as applied in Processing and Archiving Facilities (PAF). A framework is presented that is suited for the purpose. Practical uncertainty estimates are then obtained in estimating a reflectance product using three parameters: Column Water Vapour (CWV), Aerosol Optical Depth (AOD), and the adjacency range. We demonstrate the propagation of uncertainty from the reflectance product to application products, by focusing on unmixing i.e. retrieving materials and their proportional abundances present in each pixel. The thesis is divided into six chapters.

DOI https://doi.org/10.17026/dans-xjk-5sat
Source https://nbn-resolving.org/urn:nbn:nl:ui:13-wm-80uo
Related Identifier https://library.itc.utwente.nl/papers_2018/phd/bhatia.pdf
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:111419
Creator Nitin Bhatia, N. (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2018
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Resource Type Dataset
Format .img format generated using ENVI 4.5
Discipline Various