UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Quality assurance for biophysical Earth-Observation (EO) products of vegetation flux and structure

Adams, Jennifer Susan; (2019) Quality assurance for biophysical Earth-Observation (EO) products of vegetation flux and structure. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of Adams_10068835_thesis.pdf]

Download (128MB) | Preview


Vegetation flux and structure influence the biophysical and biogeochemical functioning processes that underpin terrestrial ecosystems. The precise quantification of rates of change within terrestrial ecosystems is important to establish if amplification mechanisms are operating through terrestrial processes, and within the climate system. Earth Observation (EO) products related to vegetation flux and structure can provide data at the spatial and temporal scales required for climate observations, change detection and modelling. The quality of EO products are paramount for their use in these applications, and detailed traceable and reliable uncertainty information needs to be provided. This thesis aims to evaluate the quality requirements of EO datasets relevant to vegetation flux and structure: land surface albedo, Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and Leaf Area Index (LAI). A 3D modelbased approach is used to benchmark processing chains, determine conformity to requirements and contributions to traceable uncertainty. This approach highlights the need for specific contributions of uncertainty, necessary to building uncertainty traceability chains, defined by a) the product definition, b) the product algorithms, c) site specific factors, d) validation measurement protocols and e) the method of testing compliance to quality requirements. Results indicate that goal requirements are unlikely to be met, particularly when stringent accuracy requirements and conformity testing methods are required. Given the current lack of detailed and traceable uncertainty information, as well as standard protocols for assessing quality, the 3D modelling approach is demonstrated to be a useful tool to EO and validation communities to better quantify and understand the quality of their data.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Quality assurance for biophysical Earth-Observation (EO) products of vegetation flux and structure
Event: UCL (University College London)
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
URI: https://discovery.ucl.ac.uk/id/eprint/10068835
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item