ARSF 2014_309 - MA14_14 Flight: Airborne remote sensing measurements
Airborne remote sensing measurements collected on 5th November 2014 onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the Biodiversity and Land-use Impacts on Tropical Ecosystem function (BALI) (MA14_14) project (flight reference: 2014_309). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX, full waveform airborne LiDAR collected using a Leica ALS50II, and digital photography data collected using a Leica RCD105.
Data were collected over the Sepilok Forest Reserve, Sabah, Malaysia area.
Simple
- Date (Publication)
- 2019-07-31T14:41:17
- Date (Creation)
- 2019-07-31T14:41:17
- Identifier
- Centre for Environmental Data Analysis (CEDA) / c708cad9950c45b1af0d4e9ca944f09a
- Identifier
- doi / http://dx.doi.org/10.5285/c708cad9950c45b1af0d4e9ca944f09a
- Maintenance and update frequency
- notPlanned Not planned
- Update scope
- dataset Dataset
- Keywords
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- MA14_14
- MA14/14
- aircraft
- hyperspectral
- remote sensing
- lidar
- tropical forest
- sabah
- GEMET - INSPIRE themes, version 1.0
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- orthoimagery
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
- Use constraints
- otherRestrictions Other restrictions
- Spatial representation type
- grid Grid
- Metadata language
- EnglishEnglish
- Topic category
-
- Imagery base maps earth cover
- Begin date
- 2014-11-04T23:00:00
- End date
- 2014-11-05T01:01:00
- Unique resource identifier
- WGS 84
- Distribution format
-
-
ENVI Binary
()
-
ENVI Binary
()
- OnLine resource
-
CEDA Data Catalogue Page
Detail and access information for the resource
- OnLine resource
-
DOWNLOAD
Download Data
- Hierarchy level
- dataset Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
- File identifier
- c708cad9950c45b1af0d4e9ca944f09a XML
- Metadata language
- EnglishEnglish
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
- Hierarchy level
- dataset Dataset
- Date stamp
- 2024-10-02T07:17:26
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3