Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site

Autor: Nesme, Nicolas, Marion, Rodolphe, Lezeaux, Olivier, Doz, Stéphanie, Camy-Peyret, Claude, Foucher, Pierre-Yves

Publikováno v: Remote Sensing, Vol 13, Iss 4992, p 4992 (2021)
Remote Sensing
Remote Sensing, 2021, 13 (24), pp.4992. ⟨10.3390/rs13244992⟩
Remote Sensing, MDPI, 2021, 13 (24), pp.4992. ⟨10.3390/rs13244992⟩

International audience; Methane (CH4) is one of the most contributing anthropogenic greenhouse gases (GHGs) in terms of global warming. Industry is one of the largest anthropogenic sources of methane, which are currently only roughly estimated. New s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::83fba74dfc97317862cdc93e88f9d765
https://www.mdpi.com/2072-4292/13/24/4992

Chapter 3.2 - Applications in remote sensing—anthropogenic activities

Autor: Aval, Josselin, Briottet, Xavier, Fabre, Sophie, Foucher, Pierre-Yves, Carrﾃｨre, Vﾃｩronique, Marion, Rodolphe, Uto, Kuniaki, Weber, Christiane, DALLA, MURA MAURO, Dalla Mura, Mauro

Publikováno v: Hyperspectral Imaging. 32:411-452

This chapter aims at presenting thematic applications of hyperspectral imagery related to human activities. This chapter is a companion of Chapter 3.1 in which four applications related to monitoring of natural resources or inspection of scenes were

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::ad61c7238808ca7d058dcf40dd04e894
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100835401

Mineral Mapping Using the Automatized Gaussian Model (AGM)--Application to Two Industrial French Sites at Gardanne and Thann.

Autor: Marion, Rodolphe¹ rodolphe.marion@cea.fr, Carrère, Véronique² veronique.carrere@univ-nantes.fr

Publikováno v: Remote Sensing. Jan2018, Vol. 10 Issue 1, p146. 13p.

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Mineral Identification And Characterization: An Integrated Approach To Recover Mineralogical Information From Hyperspectral Images

Autor: Rialland, Ronan, Marion, Rodolphe, Carrere, V., Soussen, Charles, Poli, Jean-Philippe

Publikováno v: 11th EARSeL SIG IS Workshop
11th EARSeL SIG IS Workshop, Feb 2019, Brno, Czech Republic., 2019
11th EARSeL SIG IS Workshop, Feb 2019, Brno, Czech Republic. 2019

International audience; Mineral mapping and soil analysis, from airborne or satellite sensors, are two growing topics for the study of environmental issues and the evaluation of the geological interest of large areas. For example, it can provide impo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1560fb3d0e9485d99c6be956685eec85
https://centralesupelec.hal.science/hal-02861548