IMAGE & RADIOMETRY

THEIA Centre for Scientific Expertise (SEC) IN Image & Radiometry brings together a network of laboratories working on image (including 3D) and signal processing for continental surfaces on a national and international scale.

The aim is to develop and propose innovative methods to offer products and services tailored to the challenges and needs of scientific users.

  • Areas of expertise (4)
  • Data & Products (10)
  • Posts (28)
  • Pages (1)

Publications

Data Terra, a major data player, awaits you at the Living Planet Symposium 2025

Join Data Terra at the heart of innovation at the Living Planet Symposium 2025! From June 23 to 27 in Vienna.

Publications

Welcome to Sentinel-2C, but why not keep Sentinel-2A operational too?

WASP | processor synthesizing several MAJA level 2A optical images into a single cloud-free image

The Weighted Average Synthesis Processor (WASP) is designed to provide monthly syntheses of Sentinel-2 surface reflectance products over land.

Softwares & algorithmes

MAJA | Atmospheric Correction processor designed to produce land surface reflectances (Level 2A) from orthorectified Top-of-Atmospher satellite imagery

Publications

clASpy_T : a 3D point cloud classification tool for estuary monitoring

Products

Sentinel-2 surface albedo

Calcul de hauteur de toits avec DSM-OPT

DSM-OPT | Digital Surface Modeling using Pleiades Stereo/Tri-Stereo Imagery

Variables & products

3D Data

Softwares & algorithmes

cLASpy_T | Tools for classification of LAS file with python and machine learning algorithms’ or classification LAS python Tools.

cLASpy_T classifies 3D point clouds using machine learning. The software is particularly well suited to monitoring coastal environments.

Publications

Two THEIA LiDAR tools for forest monitoring

Softwares & algorithmes

lidarHD | an R package to manage and download HD lidar files

Softwares & algorithmes

lidaRtRee | an R package providing forest analysis tools

lidaRtRee is an R package that provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data:

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