Michel Le Page

ORCID: 0000-0002-0671-2418
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About
Contact & Profiles
Research Areas
  • Insect and Arachnid Ecology and Behavior
  • Plant Water Relations and Carbon Dynamics
  • Plant and animal studies
  • Gene Regulatory Network Analysis
  • Remote Sensing in Agriculture
  • Irrigation Practices and Water Management
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Soil Moisture and Remote Sensing
  • Ecology and Vegetation Dynamics Studies
  • Microbial Metabolic Engineering and Bioproduction
  • Climate change impacts on agriculture
  • Precipitation Measurement and Analysis
  • Agriculture and Rural Development Research
  • Water resources management and optimization
  • French Language Learning Methods
  • African Botany and Ecology Studies
  • Bacterial Genetics and Biotechnology
  • Evolution and Genetic Dynamics
  • Bioinformatics and Genomic Networks
  • Plant Parasitism and Resistance
  • Flood Risk Assessment and Management
  • Education, sociology, and vocational training
  • Soil erosion and sediment transport

Université de Toulouse
2015-2025

Centre d'Études Spatiales de la Biosphère
2016-2025

Université Toulouse III - Paul Sabatier
2014-2025

Institut de Recherche pour le Développement
2014-2025

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2025

Centre National de la Recherche Scientifique
2014-2025

Université de Montréal
1989-2020

University of Carthage
2020

Centre National d'Études Spatiales
2017-2019

Université Grenoble Alpes
2019

Abstract Motivation: The study of genetic regulatory networks has received a major impetus from the recent development experimental techniques allowing measurement patterns gene expression in massively parallel way. This progress calls for appropriate computer tools modeling and simulation regulation processes. Results: We present Genetic Network Analyzer (GNA), tool networks. is based on qualitative method that employs coarse-grained models use GNA illustrated by case network genes...

10.1093/bioinformatics/btf851 article EN Bioinformatics 2003-02-12

Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, well-suited for studies large While numerous groups have developed specific computational tools provide original methods analyse qualitative models, a standard format exchange models has been missing. We present Systems Biology Markup Language (SBML)...

10.1186/1752-0509-7-135 article EN BMC Systems Biology 2013-01-01

Monitoring of water resources and a better understanding the eco-hydrological processes governing their dynamics are necessary to anticipate develop measures adapt climate water-use changes. Focusing on this aim, research project carried out within framework French–Moroccan cooperation demonstrated how remote sensing can help improve monitoring modelling in semi-arid Mediterranean regions. The study area is Tensift Basin located near Marrakech (Morocco) – typical Southern catchment with...

10.1080/01431161.2015.1093198 article EN International Journal of Remote Sensing 2015-10-11

Indian agriculture relies on monsoon rainfall and irrigation from surface groundwater. The interannual variability of rainfalls is high, which forces South farmers to adapt their irrigated areas local water availability. In this study, we have developed tested a methodology for monitoring these spatiotemporal variations using Sentinel-1 -2 observations over the Kudaliar catchment, Telangana State (~1000 km2). These free radar optical data been acquired since 2015 weekly basis continental...

10.3390/rs9111119 article EN cc-by Remote Sensing 2017-11-03

Irrigation in semi-arid regions induces thermal heterogeneity across a range of spatial scales that impacts the partitioning energy at surface, development atmospheric boundary layer, and bidirectional interactions between atmosphere surface. In this analysis, we use data from Land Surface Interactions with Atmosphere Iberian Semi-Arid Environment (LIAISE) experiment combined coupled land–atmosphere model to understand role irrigation-induced, on surface fluxes consequently, diurnal...

10.1016/j.agrformet.2023.109452 article EN cc-by Agricultural and Forest Meteorology 2023-04-14

Abstract In a context of high stress on water resources and agricultural production at the global level, together with climate change marked by an increase in frequency these events, drought is considered to be strong threat both socially economically. The Mediterranean region hot spot change; it also characterized scarcity that places intense pressure productivity. This article analyzes potential for using multiple remote sensing tools quantification predictability Northwest Africa. Three...

10.1038/s41598-018-37911-x article EN cc-by Scientific Reports 2019-02-06

Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity regional to global agriculture in terms of resolution (10–20 meter), revisit frequency (five days) coverage (global). In this context, European Space Agency launched 2014 “Sentinel­2 Agriculture” project, which aims prepare exploitation through development open source...

10.3390/rs71215815 article EN cc-by Remote Sensing 2015-12-02

10.1023/a:1004321023536 article EN Plant and Soil 1998-01-01

In irrigation schemes under rotational water supply in semiarid region, the allocation and scheduling are often based on a fixed-area proportionate depth with every cycle irrespective of crops their growth stages, for an equitable supply. An experiment was conducted during 2004- 2005 season Haouz irrigated area Morocco, which objective i) to evaluate effects surface method (existing rule) adopted by agency winter wheat production compared full ii) drip versus impacts saving yield wheat. The...

10.4236/as.2011.23036 article EN Agricultural Sciences 2011-01-01
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