BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AMSE//Event Calendar//FR
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:event-7986@www.amse-aixmarseille.fr
DTSTAMP:20260531T020813Z
CREATED:20260531T020813Z
LAST-MODIFIED:20260531T020813Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:amse seminar - Jennifer Alix-Garcia
DTSTART:20210329T150000Z
DTEND:20210329T161500Z
DESCRIPTION:The past decade has witnessed an explosion of research\, across
  many disciplines\, relying on re- motely sensed data. This explosion refle
 cts an increase in computing technology\, along with public access to many 
 satellite data sources. While this clearly represents progress\, given the 
 numerous advantages of satellite imagery\, researchers unfamiliar with the 
 intricacies of the collection process typically overlook an important featu
 re of the data: non-classical measurement error. Here\, we detail the poten
 tial sources and nature of these errors\, propose a solution for the case o
 f a mis- measured\, remotely sensed binary outcome\, and validate this solu
 tion using a Monte Carlo study. We use our estimator to evaluate a conserva
 tion program in Mexico. Our analysis yields practical recommendations for r
 esearchers going forward.\\n\\nContact: Ewen Gallic: ewen.gallic[at]univ-am
 u.frAvner Seror: avner.seror[at]univ-amu.fr\n\nPlus d'informations: https:/
 /www.amse-aixmarseille.fr/en/events/jennifer-alix-garcia-2
LOCATION:Îlot Bernard du Bois - Amphithéâtre\, AMU - AMSE\, 5-9 boulevar
 d Maurice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/en/events/jennifer-alix-garcia-2
CONTACT:Ewen Gallic: ewen.gallic[at]univ-amu.frAvner Seror: avner.seror[at]
 univ-amu.fr
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR