Vierailuluento prof. Arturo Sanchez-Azofeifa

2017-06-21 14:00:00 2017-06-21 15:00:00 Europe/Helsinki Vierailuluento prof. Arturo Sanchez-Azofeifa Earth and Observation Science -laboratorion johtaja, professori Arturo Sanchez-Azofeifa, Albertan yliopistosta pitää vierailuluennon CE-laitoksella 21.6.2017 kello 14 http://eng.aalto.fi/fi/midcom-permalink-1e75192c4fb0fcc519211e7b217016ef060abd8abd8 Rakentajanaukio 4 A, 02150, Espoo

Earth and Observation Science -laboratorion johtaja, professori Arturo Sanchez-Azofeifa, Albertan yliopistosta pitää vierailuluennon CE-laitoksella 21.6.2017 kello 14

21.06.2017 / 14:00 - 15:00
Lecture hall R2, Rakentajanaukio 4 A, 02150, Espoo, FI

Professori, Dr. Arturo Sanchez-Azofeifan vierailuluennon  aihe on  "The role of hyperspectral remote sensing to estimate the extend of Lianas in tropical environments".

Dr. Arturo Sanchez-Azofeifa on on yksi maailman johtavia tutkijoita wireless sensor networks ja kuivien trooppisten sademetsien saralla. Vaikka kasvillisuustutkimus ei ole suoraan meidän laitoksen tutkimusfokuksessa niin varmaan meistä kaikista on mielenkiintoista kuulla, miten hänen ryhmänsä on saanut luotua reaaliaikaisen sensoriverkon, joka lähettää koko ajan dataa pilviverkkoon.

Tilaisuus on ilmainen ja yleisölle avoin. Tervetuloa kuuntelemaan!

Professori Jussi Leveinen, puh. 040 723 2215

Rakennustekniikan laitos

 

Arturo Sanchez-Azofeifa

https://www.researchgate.net/profile/GA_Sanchez-Azofeifa

 

Dr. Arturo Sanchez-Azofeifa, PEng, SM IEEE

Professor, Earth and Atmospheric Sciences Department                                 

Director, Alberta Centre for Earth Observation Sciences (CEOS)

Faculty of Science Research Fellow (2015-2020)

University of Alberta

Edmonton, Alberta

Canada

 

Abstract:

In the context of the impacts of climate change on tropical regions, the increase on the dominance of lianas is considered one of the top ten dominant fingerprints. This fingerprint is more significant in tropical dry forests than in rainforests since dry ecosystems have higher Liana diversity than any other tropical ecosystem.  In general, efforts to estimate liana dominance are based on field studies that require time and are expensive; therefore new techniques to monitor their extent and increased dominance are necessary.  In this regard, hyperspectral remote sensing can play a role in emerging monitoring efforts. In this presentation, an evaluation of current theories of liana dominance in the tropics is first presented.  Second, a discussion of the mechanisms controlling hyperspectral responses of liana and tree leaves at the cell, leaf and landscape level is discussed.  Hyperspectral information on the visible, near-infrared, short-wave infrared, and thermal infrared is evaluated. Finally, an exploration of the role of multi-spectral remote sensing cameras mounted on drones, and the integration of this technology with machine learning techniques to estimate liana dominance in tropical dry forest ecosystems is discussed