• Aucun résultat trouvé

Woody plant cover estimation in drylands from Earth Observation based seasonal metrics

N/A
N/A
Protected

Academic year: 2021

Partager "Woody plant cover estimation in drylands from Earth Observation based seasonal metrics"

Copied!
11
0
0

Texte intégral

Loading

Figure

Fig. 1. Conceptual approach of this study exemplified for VGT FAPAR.
Fig. 3. Seasonal distribution of woody leaf mass depending on the phenological type, modeled within the STEP primary production simulation model (Mougin, Lo Seen, Rambal, Gaston, &
Fig. 6. (a)Means of pixel values for woody cover by mean rainfall zones (Fig. 2) as derived from VGT, MODIS FAPAR, or from the MOD44B product
Fig. 7. Extrapolated woody cover maps derived from VGT (a) and MODIS (b) FAPAR as well as the global tree cover product MOD44B (c)

Références

Documents relatifs

The Diancang Shan, a horst massif within the Red River fault zone in Yunnan, Peo- ple's Republic of China, preserves a structural, petrological, and thermal

This section analyzes three precedents of peer to peer: fragmented, distributed, or collective property among unidentified, evolving group of peers in legal history – the bundle

What we want to do in this talk is firstly to explain when (§1) and why (§2) a presupposition trigger becomes obligatory in the very case where it is redundant, and secondly

While it is natural for us to talk about cumulated gain over time, the traditional cumulated gain measures have substi- tuted document rank for time and implicitly model a user

Our EUREKA financed technology development project aimed to provide information about the location, the volume and the dynamic tendencies of these biomass sites in order

Thus, the contributions of this paper are twofold: (i) An experimental analysis of the amount of data necessary to successfully achieve supervised learning, and moreover, of

Direct commu- nication will be possible during the so-called AOS pe- riods ; in periods of no communication (LOS), HKTM data are recorded onboard whi le HRD data are

geochemical distribution of organic carbon in early land plants: a novel approach. Image Processing