IUFRO Congress Spotlight #64 - Latest in forest science to be showcased in Brazil
by IUFRO Headquarters
4 years, 12 months
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Call for nominations for 2019 Wangari Maathai Award
by Brigitte Burger
WANGARI MAATHAI "FOREST CHAMPIONS" AWARD - ANNOUNCEMENT OF 2019 AWARDS
You are invited to nominate a candidate for the 2019 CPF Wangari Maathai
"Forest Champions" Award by 10 May! This is a unique opportunity to
acknowledge an inspiring individual who has improved our forests and the
lives of people that depend on them.
The Collaborative Partnership on Forests (CPF) is awarding one extraordinary
individual for improving our forests and the lives of people who depend on
them!
The CPF launched the first Wangari Maathai Award in 2012 to honour and
commemorate the impact of this extraordinary woman who championed forest
issues around the world. In 2019, the CPF will award another individual for
her/his outstanding achievements for forests.
The awardee will receive a cash prize of USD20,000 along with international
recognition of the outstanding contributions to preserve, restore and
sustainably manage forests and to raise awareness of the key role forests
play in supporting local communities, rural livelihoods, women, youth and
the environment.
The Wangari Maathai Award is an initiative of CBD, CIFOR, CITES, FAO, GEF,
ICRAF, ITTO, IUCN, IUFRO, UNCCD, UNDP, UNEP, UNFCCC, UNFF and World Bank,
all members of the CPF. Nominations will be reviewed by an international
jury of renowned personalities, who will also take into consideration such
elements as empowering women, youth and civil society, fostering social
commitment, promoting networks and improving the valuation of forests in
society.
Eligibility: Applicants should be nominated by a third party. Nominees may
be persons, living or recently deceased, who have made exceptional
contributions to forests. Professional and research contributions will only
be considered if they are conducted outside of normal work-related
responsibilities. Applications received from a nominee's kin or business
partner are not eligible for consideration. Applications related to
grassroots initiatives are particularly encouraged.
Selection: The closing date for receipt of nominations is 10 May 2019. The
awardee will be selected by a jury nominated by CPF members, which will take
into account gender and regional balance when considering potential
awardees.
Announcement: The awardee will be notified of their selection via email in
mid-August 2019. This year's Wangari Maathai Award will be presented on 30
September 2019, at the XXV IUFRO World Congress to be held at Expo Unimed on
29 September - 5 October 2019 in Curitiba, Brazil.
To submit an application: Please send completed nominations to the CPF
Secretariat at cpf(a)un.org. The attached guidelines should be used when
submitting your nomination.
5 years
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COPERNICUS Forestry Summer School
by Brigitte Burger
Von: AIT Summer School co-organizer [mailto:gchirici@gmail.com]
Gesendet: Dienstag, 09. April 2019 23:02
An: div4(a)lists.iufro.org
Betreff: COPERNICUS Forestry Summer School
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Cariga Podenzano (PC) - ITALY
AIT the Italian Remote Sensing Society, jointly with CNR-IREA (National Research Council - Institue for Environmental Sensing of the Environment), EARSeL, Copernicus Programme, e-GEOS, EO4GEO and others is promoting and organizing the Summer School:
<https://unimol.us7.list-manage.com/track/click?u=b4137e6fe8ec347ab8052ee86&…> Get info and registration
COPERNICUS Sentinels
Remote sensing techniques in forestry
The Italian Association of Remote Sensing (AIT), jointly with the Institute for Electromagnetic Sensing of the Environment (IREA) of the National Research Council of Italy (CNR), the Laboratory of Forest Geomatics at the University of Florence, the Geomatics Research Group of the DISAFA-University of Torino, in cooperation with European Space Agency (ESA) and European Association of Remote Sensing Laboratories (EARSeL), and under the auspicious of EO4GEO project organizes a Remote Sensing Summer School focused on “COPERNICUS Sentinels: Remote sensing techniques in forestry”.
General contents
Copernicus EU-ESA satellites Sentinel 1, 2 and 3 with central focus on forestry applications for mapping modelling, support to policies, measurements, multi-temporal analysis and analytics for applications at different scales. Topics will include: forest type mapping (case studies) with several Earth Observation data, integration in forest inventory, disturbances detection, phenological phases survey and biogeochemical modeling.
Summer School Organization
The School includes lectures covering overviews of all the Earth Observation missions, with special focus on the most recent Cosmo/SkyMed and Sentinel ones, RPAS (Remotely Piloted Aerial Systems), Earth System Modeling, Data Assimilation, as well as hands-on data processing practical exercises. • The one-week course (TimeTable) aims at providing students with integrated end-to-end perspectives, ranging from analysis and measurement techniques to operational applications, at different working scales. • In-field exercises will be organized to collect data through ad-hoc instrumentation: spectral measurements, drone imagery, proximal sensing, etc. Samples’ collection for testing in proximity (weather permitting) of scheduled data acquisition is also planned.
Attendance
The school is open to early career scientists or employers, such as Ph.D. students, young post-doctoral scientists, technicians specialized in Earth Science disciplines, wishing to expand and improve their knowledge and skills on EO in Forestry. Participation is limited to a maximum of 20 students: a selection based on CVs and motivation letters will be applied. Selected students are expected to attend the school equipped with their own LAPTOP, having adequate capabilities for image processing. We recommend having the SNAP tool already installed. Satellite images, instrumentations (e.g. spectroradiometers, drones, etc) for the in-field excursion are provided by CNR-IREA, geoLAB-DAGRI University of Florence, e-GEOS, ITHACA, DISAFA-University of Torino.
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5 years
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