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This
page stores links to some teaching material I have made over the years at
UH, HUT, UEF and other places.
I realized the potential of the Web in 1996, when I was introduced to it by Mikko Utunen. Having your material openly in the web is beneficial in many ways. Taxpayers know what their money is used, you see how things evolve and change over the years - it serves as a portfolio. I find it fantastic to be able to download stuff from the Web and feel therefore obliged to do my part.
Pedagogic philosophy: I give priority to the contents
of teaching, which optimally links with topical research.
Common sense, feedback, transparency of teaching and self-criticism help in avoiding pedagogic disasters. Set the goals a bit higher than where the final bar is - this maximizes the number of students reaching that bar? Latest 2012 * MARV216 Basic Course in (Python, object-oriented) Programming. Jan-March 2012. moodle.helsinki.fi, login as guest. LiDAR simulator project (pdf), Survival Kit (pdf), The LiDAR simulator project results (pptx) * Advanced remote sensing (lectures and labs in one zip). UEF, Feb 2012 * MARV106 forest inventory, UH. Spring 2012 (We aer just delivering data, from here) * FOR110, (MARV1) Forest mensuration and managements, field course, July 2012. (Just delivering data and old programs,course has changed) * Skogsbruk runtom Östersjön (UH): A little lecture (pdf) and vocabulary (pdf). 2011 * MMVAR37 Basic course in programming (for foresters). In Python. See MARV216 in 2012. * MARV3 Forest management planning, field course (an assistant only, last MARV3 of its kind) * MARV1 Forest mensuration and management, field course. Started as a University lecturer at UH Jan 1, 2011, and went on 5-year absence of leave Sept 1, 2011. 2010 * MARV1 2010 Forest mensuration and management, field course. * Skogsbruk runt om Östersjön. (pdf). * Evo/HAMK: A day of lectures, demos and exercises in sensor fusion for senior forest inventory and management experts and teachers. Another day of lectures and demos in October, where I was re-using the 2009 NOVA PhD-course material. * UEF: Advanced remote sensing (homepage). Lectures 4h + remote labs in Photogrammetry. 2009 * MARV1 Growth & Yield plots - Measurement campaign: Photogrammetry + Field Work. 3rd succesfull attempt to use student labour for collecting research material. We got reasonable feedback. The students measured and mapped some 3000 trees. A positioned and measured tree costs around 2-4€, depending on the number of measurements taken. . * UJ: Nova post-gradate course in 3D RS of forests by Packalen et al.: NOVA 3D Course. I wrote a separate version of the KUVAMITT-program to be a bit more educative. A sample dataset of frame and pushbroom sensor images + LiDAR was made available including 8/16-bit images. The students could load the 5GB package. Let's see where it leads. Another overkill, but I hope to get a chance to utilise the exercises agn. * HU: Skugsbruk runt om Östersjön -kurs: PPT redovisning om laserkanning och fotogrammetri i 3D skoglig kartläggning. Quite interesting trial in doing teaching in Swedish. Feasible but utterly laborious with all the missing vocabulary. 2008 * MARV1 Teaching LiDAR and photogrammetry in the field. Again students mapped and measured nearly 2500 trees for reference and learned basics of forest mensuration and a little bit about surveying, LIDAR and photogrammetry applied to forestry. 2007 * MARV1 Teaching LiDAR and photogrammetry in the field. Students measured 19 research plots for research. Terrible rainy wx the whole duration of the course, but a lot of SISU by many saved the course. With Holopainen. * MARV4 Forest inventory project with Holopainen. A first attempt since long to combine research with teaching. Professor Poso made the first in 1990s. Here's our peer-reviewed paper in STRS (ISPRS pdf). 2006 * MINV12 Post-graduate course in 3D remote sensing of forests. First PhD-course by me, a bit of an overkill from my part. The good part with course was that it forced me to learn about LIDAR as I was responsible of those exercises. The course focused too much on STRS in images, but you teach what you know best.... |
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OLDER: honeybee.helsinki.fi was removed by the UH IT, most links don't work. "Teaching something
is a good way of learning it yourself". Forestry students of the 1980s
could have as much as 25 weeks of field courses
Left picture from 1993 has prof. Lalli Laine field lecturing in Sinivuori nature reserve. In the late 1980s, most forestry students were male, which resulted in 'gender issues' in teaching staff (Prof. Laasasenaho & team 1994)
SUO1/ME102
Soiden käytön perusteet.
UH Department of Economy YMTAL8
Yksityismetsätalouden kenttäkurssi (Hyytiälä)
Field course in forestry for students
in agriculture.
UH Department of forest resource management 2007 MARV1/Hyytiälä 10-day project for collecting reference data: mapped stands/plots 2006 MARV1/Hyytiälä Lecturing single-tree remote sensing. One day of computer labs. 1999-2000 MH1/MARV1 Joint field excursions with basic course in silviculture Ojakkala 10/2000, Paloheinä 9/1999, Paloheinä 5/2000 Forest mapping and aerial photo interpretation -course within MARV1 2000 MARV1-Kpkurssi, 1999 MARV1-kpkurssi 1998 MARV1-kpkurssi 1997 MARV1-kpkurssi 1997 Demoja liittyen Marv1-kenttäkurssi
harj.aiheisiin Demos for MARV1- students; What did we do in Hyytiälä?
Computer programs 1992 Harjoitustehtäviä kesätenttiin (Word-97) Samples for preparing for the exam in Hyytiälä.
MARV2
Metsätalouden suunnittelun perusteet Basic's of forest management planning (lecture/seminar course
2nd fall)
2000
Kurssipäiväohjelma,
kursimonisteet ym., "Getting to
know the angle cauge formulas and principle" MARV4
Metsätalouden suunnittelu Forest
management planning II. Lectures/seminars/PBL 2nd spring
term, field work and preparation of a forest management plan. In 1998-1999
landscape ecological plans were made.
2007
Photogrammetric
inventory Y196
Advanced topics in geo-informatics 4 x 2 h
lectures and lab
Y31/GIS12
Kaukokartoitus 2, Remote sensing 2
Lectures
and labs in digital image analysis and photogrammetry
MINV12 Post-graduate course in 3D remote sensing of forests Week of lectures and guided labs, Special assignments; 3D coordinate systems, Airborne lidar in the estimation of digital surface models for terrain and canopy, Single tree forest inventory using lidar and/or photogrametric techniques, Lidar in the estimation of stand variables with parametric regression estimation,. 2006 Index at ~korpela/MINV12, See also newsgroup hy.opiskelu.mmtdk.minv.minv12 at nntp.helsinki.fi -news server.
TKK / HUT / Institute of Real Estate Studies, HUT Maa
20.335 Metsänmittaus, Forest evaluation course for surveyors Homepages:
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