Regularised optical, thermal and backscatter land surface System State Vector (SSV) time series data collection from the BACI ( Towards a Biosphere Atmosphere Change Index) project.

The BACI System State Vector datasets cover large regional sites in Europe, West, Eastern and Southern Africa in addition to smaller fast track sites in Denmark, Wytham Forest, Kruger National Park, Hainich, Viterbo, Romania, Slovenia, Ethiopia and Southern/Central/Northern Somalia.

The BACI datasets address one of main complications in combining different Earth Observation (EO) data streams is a requirement of common time and space resolution. These data are gap free time series, of EO data across optical (reflectance, albedo), passive microwave (LST) and active microwave (backscatter) domains. This collection contains optimally smoothed and filtered time series of reflectance, albedo and backscatter datasets, starting in 2000 and running to the present, as the core SSV output.

Crucially, the SSV data is provided with consistent uncertainties, which is key for use in downstream quantitative modelling and change detection applications, particularly to help attribute and explain detected change. Changes in the Earth’s surface can have very different properties and so can influence very different domains of the electromagnetic spectrum. As a result these datasets are particularly useful for trying to detect changes in ecosystem structure and function, a potentially vital application for satellite monitoring of the Earth system.

Date (Publication): 2019-10-08T15:40:09

Date (Creation): 2019-10-08T15:40:09

Citation identifier: https://catalogue.ceda.ac.uk/uuid/1452fa13390549f5a6794840b948a8d1

Citation identifier: Centre for Environmental Data Analysis (CEDA) / 1452fa13390549f5a6794840b948a8d1

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Unavailable	Disney, Mathias	Unavailable	Author
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Custodian
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	pointofContact
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Publisher

Maintenance and update frequency: Unknown

Update scope: Series

Keywords

BACI
Biodiversity
long time series
State Surface Vector
land surface temperature
backscatter
albedo
uncertainty

GEMET - INSPIRE themes, version 1.0

atmospheric conditions

Access constraints: Other restrictions

Other constraints: Please contact the data centre for assistance on accessing data from this dataset collection.

Use constraints: Other restrictions

Other constraints: Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.

Spatial representation type: Grid

Language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 2000-01-01T00:00:00

End date: 2015-12-31T00:00:00

Unique resource identifier: WGS 84

Distribution format

Name	Version
Contact data centre for format details.

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceda.ac.uk/uuid/1452fa13390549f5a6794840b948a8d1	CEDA Data Catalogue Page

Hierarchy level: Series

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier: 1452fa13390549f5a6794840b948a8d1 XML

Metadata language: English

Character set: UTF8

Hierarchy level: Series

Hierarchy level name: series

Date stamp: 2025-12-04T03:27:59

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Point of contact

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