Jia Zhou

PhD, Université Montpellier 2, UMR AMAP & INRIA Sophia Antipolis

Keywords: Marked Point Process, Individual tree detection, Theoretical ecology

Contact:
Mail: jiadotzhouatciraddotfr
Phone:
Fax:
Postal address: CIRAD-UMR AMAP, TA A-51/PS2, Bd de la Lironde, 34398 Montpellier Cedex 5, France

Abstract:

My thesis is a collaboration between the UMR AMAP team in Montpellier and the AYIN (Ariana) team at INRIA. In AMAP team, principal studies are brought on the architecture of plant, where tropical forest is the subject of numerous projects. My thesis work is to analyze and model the spatial organization of vegetation in tropical forests by very high resolution images of canopy, such as satellite-borne or airborne optical and LiDAR images. This is carried out by individual tree crown detection on images, with use of the mathematical method based on the model of marked point process, developed by the team at INRIA. Then, from the detection results, we try to analyze and explain the forest parameters, as canopy structures, forest dynamics, …

Short Bio:

Jia ZHOU received the Master degree in engineering of mathematics and modeling (option: biostatistics and industrial statistics) from INSA de Toulouse, in 2009.

Since October 2009, she began the Ph.D study with the subject “contribution of object recognition on forest canopy images to the building of an allometric theory for trees and natural heterogeneous forest”, with Ariana and UMR AMAP research groups. The main work is to apply and adapt the detection method to forest canopy images for crown recognition.

Last publications:
J. Zhou, C. Proisy, X. Descombes, J. Zerubia, G. Le Maire, Y. Nouvellon, P. Couteron. “Tree crown detection in high resolution optical images during the early growth stages of Eucalyptus plantations in Brazil”, Proc. of ACPR, pages :623-627, Beijing (China), November 28-30, 2011.

J. Zhou, C. Proisy, X. Descombes, I. Hedhli, N. Barbier, J. Zerubia, J. P. Gastellu-Etchegorry, P. Couteron. “Tree crown detection in high resolution optical and LiDAR images of tropical forest”, Proc. of SPIE, volume: 78240Q-2, Toulouse (France), September 20-23, 2010.