Toulouse 2015 Supervised SVN classification results for 600 urban trees according to a 3 level nomenclature

Hyperspectral data were obtained during an acquisition campaign led on Toulouse (France) urban area on July 2015 using Hyspex instrument which provides 408 spectral bands spread over 0.4 – 2.5 μ. Flight altitude lead to 2 m spatial resolution images. Supervised SVN classification results for 600 urban trees according to a 3 level nomenclature: leaf type (5 classes), family (12 and 19 classes) and species (14 and 27 classes). The number of classes differ for the two latter as they depend on the minimum number of individuals considered (4 and 10 individuals per class respectively). Trees positions have been acquired using differential GPS and are given with centimetric to decimetric precision. A randomly selected subset of these trees has been used to train machine SVM and Random Forest classification algorithms. Those algorithms were applied to hyperspectral images using a number of classes for family (12 and 19 classes) and species (14 and 27 classes) levels defined according to the minimum number of individuals considered during training/validation process (4 and 10 individuals per class, respectively). Global classification precision for several training subsets is given by Brabant et al, 2019 ( https://www.mdpi.com/470202) in terms of averaged overall accuracy (AOA) and averaged kappa index of agreement (AKIA).

Date (Revision): 2022-05-17T19:09:06

Edition: 1.0

Edition date: 2015-01-01

Citation identifier: e324c038-08f3-4a11-aca2-7abbeda014e7

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator

Purpose: Provide with urban trees 3 level nomenclature

Status: Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator

Maintenance and update frequency: Not planned

General

remote sensing
VHRS imagery
HYPERSPECTRAL imagery
urban studies

GEMET - INSPIRE themes, version 1.0

Land cover

GEMET - Concepts

GCMD Keywords viewer

TETIS Thesaurus, version 1.0 21112019

HYEP
Urbain

Use limitation: This work is licensed under a Creative Commons Attribution 4.0 License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0).

Access constraints: License

Use constraints: License

Classification: Unclassified

User note: unclassified

Classification system: no classification in particular

Handling description: description

Spatial representation type: Vector

Language: English

Character set: UTF8

Topic category

Geoscientific information
Environment

Begin date: 2015-07-01T00:00:00Z

End date: 2015-07-31T00:00:00Z

Supplemental Information: some additional information

Reference system identifier: EPSG / 4326

Distribution format

Name	Version
ESRI Shapefile	1.0

OnLine resource

Protocol	Linkage	Name
file for download	https://zenodo.org/record/3611240/files/Fields_samples.7z?download=1	geopackage file
OGC:WMS	http://idg-tetis-gs.teledetection.fr:8080/geoserver/idg-tetis/wms	species_27classes

Hierarchy level: Dataset

Conformance result

Title: Data Quality check

Alternate title: This is is some data quality check report

Date (Publication): 2022-05-17T19:09:06

Explanation: some explanation about the conformance

Pass: Yes

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): 2010-12-08T12:00:00

Explanation: See the referenced specification

Pass: Yes

Conformance result

Title: COMMISSION REGULATION (EC) No 1205/2008 of 3 December 2008 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards metadata

Date (Publication): 2008-12-04T12:00:00

Explanation: See the referenced specification

Pass: Yes

Statement: Hyperspectral data were obtained during an acquisition campaign led on Toulouse (France) urban area on July 2015 using Hyspex instrument which provides 408 spectral bands spread over 0.4 – 2.5 μ. Flight altitude lead to 2 m spatial resolution images. Supervised SVN classification results for 600 urban trees according to a 3 level nomenclature: leaf type (5 classes), family (12 and 19 classes) and species (14 and 27 classes). The number of classes differ for the two latter as they depend on the minimum number of individuals considered (4 and 10 individuals per class respectively). Trees positions have been acquired using differential GPS and are given with centimetric to decimetric precision. A randomly selected subset of these trees has been used to train machine SVM and Random Forest classification algorithms. Those algorithms were applied to hyperspectral images using a number of classes for family (12 and 19 classes) and species (14 and 27 classes) levels defined according to the minimum number of individuals considered during training/validation process (4 and 10 individuals per class, respectively). Global classification precision for several training subsets is given by Brabant et al, 2019 ( https://www.mdpi.com/470202) in terms of averaged overall accuracy (AOA) and averaged kappa index of agreement (AKIA).

Metadata

File identifier: e324c038-08f3-4a11-aca2-7abbeda014e7 XML

Metadata language: English

Character set: UTF8

Parent identifier: 83867504-286c-4436-b3fc-436ffdc1d912
83867504-286c-4436-b3fc-436ffdc1d912

Hierarchy level: Dataset

Date stamp: 2022-05-17T19:25:04

Metadata standard name: ISO 19115:2003/19139

Metadata standard version: 1.0

Metadata author

Organisation name	Individual name	Electronic mail address	Role
LETG - Univ Rennes 2	Thomas Houet	thomas.houet@univ-rennes2.fr	Point of contact
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator
UMR TETIS - CNRS	Claudia Lavalley	Claudia. Lavalley@cnrs.fr	Publisher