Events / Workshop / Shared Folder

Events / Workshop / Shared Folder


DART Thematic School 2026 will take place in June 1–4, 2026 in Toulouse, France.
This training session aims to improve understanding of how radiation interacts with the Earth’s surfaces and the atmosphere — a central issue for:

  • interpreting remote sensing signals,
  • modelling land surface processes driven by radiative transfer.

DART (Discrete Anisotropic Radiative Transfer) is a 3D radiative transfer model developed at CESBIO since 1992. It is one of the most comprehensive and accurate models used in remote sensing. DART simulates how radiation propagates and interacts within complex environments (vegetation canopies, soils, urban areas, water bodies, and the atmosphere), enabling the computation of both radiative budgets and remote sensing observations across multiple spectral domains and sensor configurations.

During the school, participants will:

  • understand the challenges and needs in radiative transfer modelling,
  • explore the state of the art of DART and its applications,
  • deepen their knowledge of remote sensing physics and radiative transfer theory,
  • gain hands-on experience using DART to simulate observations and radiative budgets,
  • apply DART to their own research projects.

Registration is open until April 17, 2026.

Please contact yingjie.wang@iut-tlse3.fr


ISPRS Technical Commission III, Mid-term Symposium ON Remote Sensing will be held from November 4-8, 2024 Belém, Brazil.
ISPRS Technical Commission III is dedicated to the technologies and applications of remote sensing. It is jointly hosted by Brazil and France from 2022 to 2026 and its mid-term symposium will be held in Belém. It covers a very wide range of topics related to remote sensing: from space image acquisition and processing techniques (space missions, sensors, algorithms, etc.), with sessions devoted to new missions (SWOT, Biomass, etc.), to a wide range of applications in the Earth sciences, climate, environment, and society, with a particular focus on the Amazon and tropical environments. 

Registration opening March 1, 2024


Indo-French Monsoon School on Hydrology from Space will be held from October 16-18, 2023 at IISc Bangalore.

Upcoming satellite mission dedicated to monitor hydrological cycles, such as SWOT, NISAR or TRISHNA offers an opportunity to get new type of data to built future downstream services to wide range of users. This Monsoon School in Hydrology for Space, held in India will focus on a one-day workshop which gathers specialists involved in the design of the satellite missions, for an overview of the state of the art of the current knowledge of the missions outline, and a two-days training session focusing on mastering the use of open-source models for evapotranspiration, streamflow or soil moisture retrieval, as well
as the assimilation of the current and future remote sensing products and variables into a hydrological modelling platform that runs from plot scale to region.
No Registration Fee.
To apply, send detailed bio-data (including date of birth, academic background, work experience) via e-mail to indo.french.monsoon.school@gmail.com.
Please indicate in the e-mail i- the title of the two Hands On you are interested in and ii- how the training fits and/or will be useful in your curriculum/academic project/research project.


Third edition of the Vietnam School of Earth Observation (VSEO-3) will be held from September 11-15, 2023 at ICISE in Quy Nhon.

This edition of VSEO will be dedicated to SAR remote sensing of land surfaces in Vietnam, with a special focus on rice and forest ecosystems.
Pictures of the event here, here, here, here


Summer school in remote sensing of the continental surface in Sfax, Tunisia on the 26-27 July 2023.
Pictures of the event here and here.


GESOC workshop in Marrakech, 7-10 Nov. 2022, Marrakech (Marocco)
Remote Sensing research in agricultural water management
Pictures of the event here


Webinar on new satellite data for hydrological applications with the IRN/GDRI RHYMA, 20 Sept., 2022
Remote sensing databases for hydrological applications

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