Géodésie

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Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in developing countries. Machine learning (ML) models, combined with freely-av ...

Elsevier2023

Covariant formulation of relativistic mechanics

Miguel Alexandre Ribeiro Correia

Accretion disks surrounding compact objects, and other environmental factors, deviate satellites from geodetic motion. Unfortunately, setting up the equations of motion for such relativistic trajectories is not as simple as in Newtonian mechanics. The prin ...

American Physical Society2022

In situ observations of the Swiss periglacial environment using GNSS instruments

Alessandro Cicoira, Matthias Meyer, Hugo Raetzo

Monitoring of the periglacial environment is relevant for many disciplines including glaciology, natural hazard management, geomorphology, and geodesy. Since October 2022, Rock Glacier Velocity (RGV) is a new Essential Climate Variable (ECV) product within ...

COPERNICUS GESELLSCHAFT MBH2022

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

Mark Pauly, Florin Isvoranu, Uday Kusupati, Yingying Ren, Tian Chen, Davide Pellis

We present a computational inverse design framework for a new class of volumetric deployable structures that have compact rest states and deploy into bending-active 3D target surfaces. Umbrella meshes consist of elastic beams, rigid plates, and hinge joint ...

2022

Generation of elastic geodesic gridshells with anisotropic cross sections

Corentin Jean Dominique Fivet, Nicolas Robin Montagne, Olivier Baverel

Geodesic gridshells are shell structures made of continuous elements following geodesic lines. Their properties ease the use of beams with anisotropic cross-sections by avoiding bending about their strong axis. However, such bending may arise when flatteni ...

2021

A deep learning approach to Cadastral Computing

Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira, Bastien Solal Emile Tourenc

This article presents a fully automatic pipeline to transform the Napoleonic Cadastres into an information system. The cadastres established during the first years of the 19th century cover a large part of Europe. For many cities they give one of the first ...

2019

Can Precursory Moment Release Scale With Earthquake Magnitude? A View From the Laboratory

Marie Estelle Solange Violay, François Xavier Thibault Passelègue, Mateo Alejandro Acosta

Today, earthquake precursors remain debated. While precursory slow slip is an important feature of earthquake nucleation, foreshock sequences are not always observed, and their temporal evolution remains poorly constrained. We report on laboratory earthqua ...

2019

One-step solution to local tie vector determination at co-located GNSS/VLBI sites

Jean-Philippe Lucien Montillet

The local tie vector, which connects the different space geodetic techniques at a co-located site, plays an important role in the realization of the International Terrestrial Reference Frame (ITRF). This paper presents a new method to determine the tie vec ...

SPRINGER2018

Review of current GPS methodologies for producing accurate time series and their error sources

Jean-Philippe Lucien Montillet

The Global Positioning System (GPS) is an important tool to observe and model geodynamic processes such as plate tectonics and post-glacial rebound. In the last three decades, GPS has seen tremendous advances in the precision of the measurements, which all ...

Elsevier2017

Experimental assessment of the speed of light perturbation in free-fall absolute gravimeters

Sergey Sibiryakov, Diego Blas Temino

Precision absolute gravity measurements are growing in importance, especially in the context of the new definition of the kilogram. For the case of free fall absolute gravimeters with a Michelson-type interferometer tracking the position of a free falling ...

Iop Publishing Ltd2015

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Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Danya Li

Elsevier2023