• Aucun résultat trouvé

Modelling past and future land use and cover changes. A multi-scale approach applied in the Pyrénées

N/A
N/A
Protected

Academic year: 2021

Partager "Modelling past and future land use and cover changes. A multi-scale approach applied in the Pyrénées"

Copied!
3
0
0

Texte intégral

(1)

HAL Id: hal-01803627

https://hal.archives-ouvertes.fr/hal-01803627

Submitted on 30 May 2018

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Modelling past and future land use and cover changes.

A multi-scale approach applied in the Pyrénées

Thomas Houet, Didier Galop, Florence Mazier, David Sheeren, Jean-François Dejoux

To cite this version:

Thomas Houet, Didier Galop, Florence Mazier, David Sheeren, Jean-François Dejoux. Modelling past and future land use and cover changes. A multi-scale approach applied in the Pyrénées. AGILE 2012, Apr 2012, Avignon, France. Proceedings of the AGILE’2012 International Conference on Geographic Information Science, p. 1, 2012. �hal-01803627�

(2)

Open Archive TOULOUSE Archive Ouverte (OATAO)

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/

Eprints ID: 16342

To link to this conference: URL:

https://agile-online.org/conference/proceedings/proceedings-2012

To cite this version : Houet, Thomas and Galop, Didier and Mazier, Florence and Sheeren, David and Dejoux, Jean-François Modelling past and future land cover changes. A multi-scale approach applied in the Pyrénées. (2012) In: AGILE 2012, 23 April 2012 - 27 April 2012 (Avignon, France)

Any correspondence concerning this service should be sent to the repository administrator: staff-oatao@listes-diff.inp-toulouse.fr

(3)

M ODELLING PAST AND FUTURE LAND USE AND COVER CHANGES A

MULTI

Ͳ

SCALE APPROACH APPLIED IN THE

P

YRENEES

THE

MODE RESPYR

PROJECT

D.Sheeren

LaboratoireDYNAFOR UMR 1201 INPͲENSAT/INRA

T.Houet*,D.Galop,F.Mazier

LaboratoireGEODE UMR5602CNRS/UTM

J.ͲF.Dejoux

LaboratoireCESBIO UMR 5126 CNRS/IRD/CNES UMR1201INP ENSAT/INRA

UniversitédeToulouse

BP32607,31326CastanetTolosanCedex,France UniversitédeToulouse

5al.Machado,31058Toulouse,France

*Projectleader:thomas.houet@univͲtlse2.fr

CONTEXTANDOBJECTIVES

Context

ͲLand cover changes have significant impacts on local and regional climate and on others environmental issues.

ͲUnderstanding past LUCC is essential to reduce uncertainties related to current changes, identify driving forces of LUCC and better anticipate future changes

UMR5126CNRS/IRD/CNES UniversitédeToulouse

18av.EdouardBelin,31401ToulouseCedex,France

Scientific & Methodological issues

ͲProviding knowledge on past and future land use and cover changes with heterogeneous datasets ͲSimulating local / regional land use and cover changes using spatially explicit models

ͲSimulating past / futures land use and cover changes based on scenarios identify driving forces of LUCC and better anticipate future changes

ͲUnder climate change assumptions, Pyrenees mountains will face dramatic effects of climate change and show high environmental stakes (water / snow resources, biomass, biodiversity...)

PROJECTMETHODOLOGY

ͲWhat is the role of spatial approaches in prospective research?

ͲWhat spatial and temporal resolutions are required for short / long term projections?

STUDYSITES ThePyrenees

Vicdessos

Davantaygue Garroxtes

HumanͲEnvironmentObservatory 244km²Ͳ7municipalities LongTermEcologicalResearchsite

76km²Ͳ6municipalities

25yearsofobservations/studies 85km²Ͳ5municipalities Ayros

Arbouix Suc-et-

Boundariesof the mountainous area Local study sites

Davantaygue Vicdessos Garrotxes

PRELIMINARY RESULTS

Task1:RegionalLUCCoverlast12000yearsusingpalaeoͲenvironmentaldataandmodels Task2:LocalLUCCoverlast60Ͳ120yearsusinghistoricalmaps/aerialphotographs Task3:RegionalLUCCoverlast15Ͳ20yearsusinghighresolutionsatelliteimageries

Task 4:Modelling past / future LUCC based on scenarios and dynamic/spatially explicit models Integrationof

knowledge

Participatory approach

Building

scenarios Use/Development

ofmodels Villelongue

Beaucens Artalens-

Souin Vier-Bordes Préchac

Auzat Vicdessos Goulier sentenac

Lercoul Orus

Sem

N 1.5km

N 4km

N 2km

Sansa

Caudies-de- Conflent Oreilla

Railleu

Ayguatebia-Talau

PRELIMINARYRESULTS LUCCdatabases

ConstitutionofLUCCdatabasesbasedonareliable landuseandcovertypology

ͲPalaeodatabase(PALEOPYRandinsitucores)

LocalLUCCoverthelastCentury

2009 1976

Linkinggrazingactivitiesandlanduseandcoverchanges(Galopetal.2011)

ÆComparisonoflocalLUCC(cf.Sheerenetal2012ͲPosterAGILE’2012)

ÆCombiningpalaeoandGISdatasforunderstandingLUCC

ͲSatelliteimageriespreͲtreatmentandclassification (1994,2002/03,2009/10)– (Hagolleetal2008)

ͲLanduseandcovermapsfrom1940’s(Houetetal2012)

CONCLUSION WEBSITE

http://w3.modeͲrespyr.univͲtlse2.fr MODERESPYR(2011Ͳ2015)isaongoingprojectintegratingheterogeneousspatiallyexplicitLUCCdataandcouplingvariousdisciplines.

ÆLUCCdatabasesarenearlyfinalizedandmultiͲscaledanalyseshavestartedaswellasmodelcomparisonandexploration.

ÆLocallandscapechangesaremostlyattributedtohumanlandusechangesratherthanglobalwarmingandhavetobecomparedwith regionaltrends ÆParticipatoryandscenariosapproacheswillbeperformedformodellingfutureandpastlocalandregionallanduseandcoverchanges

REFERENCES

Galop D.,HouetT.,Mazier F.,Leroux G.,Rius D.(2011)GrazingactivitiesandbiodiversityhistoryinthePyrénées – theuseofpaleoecology andhistoricalecologytoprovidenewinsightsonhighͲaltitude ecosystemsintheframeworkofaHumanͲEnvironmentObservatory,PAGESnews,(19)2:53Ͳ56,2011.

HouetT.,Ribière O.,Vacquié L.,VidalF.,Galop D.(Sous presse)Analyse spatiale del’évolution desmodesd’occupation etd’usages dessolssur leVicdessos de1942ànos jours,SudͲOuest Européen,Accepté.

Shereen D.,Ribière O.,Raynaud B.,Ladet S.,Paegelow M.,HouetT.(2012)Assessing land cover changes in the French Pyrenees since the 1940s: a semi-automatic GEOBIA approach using aerial photographs, ProceedingsofAGILE2012symposium

Hagolle O.,Dedieu G.,Mougenot,B.,Debaecker,V.,Duchemin ,B.,Meygret ,A.(2008)CorrectionofaerosoleffectsonmultiͲtemporalimagesacquiredwithconstantviewingangles:Applicationto FormosatͲ2imagesRemotesensingEnvironment,112(4):1689Ͳ1701,2008

Project founded by ANR Jeune Chercheur / Jeune Chercheuse MODE RESPYR (2010 JCJC 1804 01 – 01)

Références

Documents relatifs

Dans cette hypothèse (Figure IV-1.3), la surface d'érosion à la base de l'Oligocène se serait mise en place en régime subaérien sur la plate-forme et jusqu'en pied de pente à la

The coloring routine breaks the evaluation of long-range relationships into local operations and when trained with small images, it generalizes substantially better to new families

Keywords Hydrological modelling, Sahel, land cover, demographic model, soil water holding capacity, environmental

Therefore, no uncertainty is assigned to the inclusive t ¯t production cross section in the search, while variations of the relative fractions of t ¯t events with additional

Finally, the new β-CoV strain from the Nycteris bat, trapped in a cave, belongs to the MerbeCoV genus which includes the CoVs responsible for the human Middle East respiratory

In this section we propose our new model: the Self- Attention - Temporal Convolutional Network (SA-TCN), which retains the encoder-decoder architecture of ED-TCN to capture

Title: Sensitivity analysis of tree phenology models reveals increasing sensitivity of their predictions to winter chilling temperature and photoperiod with warming climate..

Endocranial morphology of Microchoerus erinaceus (Euprimates, Tarsiiformes) and early evolution of the Euprimates brain. American Journal of Physical