Multi-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France)

Autor: K. Adeline, J.B. Féret, H. Clenet, J.M. Limousin, J.M. Ourcival, F. Mouillot, S. Alleaume, A. Jolivot, X. Briottet, L. Bidel, E. Aria, ATM. Defossez, T. Gaubert, J. Giffard-Carlet, J. Kempf, D. Longepierre, F. Lopez, T. Miraglio, J. Vigouroux, M. Debue

Publikováno v: Data in Brief, Vol 53, Iss , Pp 110185- (2024)

Mediterranean forests represent critical areas that are increasingly affected by the frequency of droughts and fires, anthropic activities and land use changes. Optical remote sensing data give access to several essential biodiversity variables, such

Externí odkaz: https://doaj.org/article/195c8574bbc44451ba1b5c1c4080a98d

Historical droughts in Mediterranean regions during the last 500 years: a data/model approach

Autor: S. Brewer, S. Alleaume, J. Guiot, A. Nicault

Publikováno v: Climate of the Past, Vol 3, Iss 2, Pp 355-366 (2007)

We present here a new method for comparing the output of General Circulation Models (GCMs) with proxy-based reconstructions, using time series of reconstructed and simulated climate parameters. The method uses k-means clustering to allow comparison b

Externí odkaz: https://doaj.org/article/b818d0a1c3334eaa9b4091eab1727efc

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

The potential of Pléiades imagery for vegetation mapping: an example of grasslands and pastoral environments

Autor: S. Luque, C. Jacqueminet, V. Breton, S. Alleaume, V. Thierion, K. Michel, C. Vigneau, J. Renaud

Publikováno v: Revue Française de Photogrammétrie et de Télédétection
Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, 2014, pp.105-110
Revue Française de Photogrammétrie et de Télédétection, 2014, 208, pp.105-110
Revue Française de Photogrammétrie et de Télédétection, Iss 208 (2014)

[Departement_IRSTEA]Territoires [TR1_IRSTEA]SEDYVIN [TR2_IRSTEA]SYNERGIE; International audience; Nowadays the use of remote sensing for vegetation mapping over large areas is becoming progressively common, with the increase of satellites providing a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b92baaa4a4265bcd979bbfb4bc32178
https://hal.archives-ouvertes.fr/hal-01335884/file/mt2014-pub00046670.pdf

The Comparison Map Profile Method: A Strategy for Multiscale Comparison of Quantitative and Qualitative Images

Autor: Christelle Hély, S. Alleaume, C. Gaucherel

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2008, 46 (9), pp.2708-2719. ⟨10.1109/TGRS.2008.919379⟩

The comparison map profile (CMP) method compares two spatially explicit data sets (original images) at each point and through several spatial scales simultaneously. The CMP combines the moving window concept with similarity indices for quantitative o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf1be0a3edbf61ed040b373a6501ca8b
https://hal.archives-ouvertes.fr/hal-02108650