CV and List of
Publications. Presentations on research you
teaching material from the teaching page.
The WebLog provides
with daily-weekly updates.
My current interest is 3D
remote sensing using optical data
Forestry, Forest inventory,
Forest management, Applied botanics, Allometry, Mapping, Photogrammetry, LiDAR,
Analytical geometry, Radiometry, Programming, Numerical methods, Monte-Carlo
of least squares, Sampling, Linear models.
DATA-DRIVEN RESEARCH CALLS FOR OBSERVATIONS -
EXPERIMENT IN HYYTIÄLÄ
an experiment in Hyytiälä
(62ºN, 24ºE) since 1993.
It consists of remote sensing and field observations.
Description and links to data [HTML in Finnish].[pdf
1. There are accurately mapped trees in different forests; Characteristic
to the experiments is that all observations are georeferenced.
2. Aerial image time-series covers all
photographs since 1946, scale > 1:32000.
Last film images are from
2004. Digital images prevail since then.
1946 pair, normalized, as Schenk
laser scanning: There are now eight LiDAR
data sets: 2004,
2010, 2011 (2 sets) and 2012.
4. A set of 'geodetic points' has
been established in the area since 2000 using ordinary RTK and Network
an accuracy of 2-3 cm.
5. Field photogrammetry: Close-range photogrammetric images since
are managed by Metsähallitus.
is covered by a time-series of aerial images starting in 1946, which are
all in one large block that has been determined accurate orientation. Here's
a pdf by Silva Fennica
describing how it has been done. With the imagery is possible to do ´time-travelling
in 3D`. It is exciting to combine lidar with photogrammetry. See video-clips
of the laser scanning .(3.6
Mb Ground points) (5.5
Mb Points >20 m fm ground).
summer of 2006, we set up the first version of the 'GOOGLE-HYYTIÄLÄ'
(cf. GoogleEarth, :)) web-site and interviewed people in Hyytiälä
about the landscape changes. Aerial photographs have wittnessed a big change
in the land use patterns in Hyytiälä. Please visit the www site,
the images are not in Finnish.
In 1999, I wrote the
first version of a VB 6.0 program that could perform multi-image matching,
i.e. least-square forward ray-intersection for 3D point positioning. At the
time I had realized that I almost completely lack stereo vision.
KUVAMITT is written in VStudio
6.0 (Win32) that provides the user-interface. Computer intensive calculations
are done in a C/C++
It is linked with the WIN32 API and Matlab dlls. VB 6.0 by Microsoft (1998-)
is still somewhat alive and the support is promised to last until 2018. KUVAMITT's
principle is that any step in an analysis that can be visualized is visualized.
This is especially in the favor of using it for teaching photogrammetry.
KUVAMITT's features include
If you would be interested in developing
KUVAMITT into an "academic freeware" DPW, please contact me by e-mail. There
is a 5 gB sample package and instructions in docx
a weighted least-square (bundle block) adjustment, All observations have weights,
reflecting the a priori observation accuracy. image-, XYZ-, XY- or Z-constrained points,
and sensor position/attitudeobservations.
manual multi-image matching of upto 9 images.
mode in anaglyph. View and simple editing.
switching between mono, stereo, orto views.
of vectors in all modes, no topology so far, just points and polylines.
given path output an image sequence.
of two surface models, DTM/CHM, ebinary raster or ASCII TIN.
computation with a raster surface model.
image matching for 3D tree top positions by template matching
crown-width estimation using multi-scale template matching
crown 3D modeling using parametric crown models and LiDAR points with allometric
stereo- and multi-image surface matching into a TIN. Routines for filtering
the TIN for outliers and outputting a raster surface model.
3D vectors in all view-modes: mono, stereo, orto
of 1-4 band images, 8-bit and 16-bit. RAW (BIP) images only. ASCII headers.
- Film image, Vexcel UltracamD/X,
DMC I/II, and ADS40 sensor support.
shadow and occlusion determination using Z buffering in LiDAR data
SPONSORS (CURRENT AND PAST
SPONSORS OF EXPERIMENTATION)
presentations (not updated)
- 3D metsänmittaus
ilmasta, UH 01/2006
ilmakuvaperustaisessa puiden kartoituksessa ja mittauksessa, Taksaattoriklubi,
Finnish Society of Forest Science, Helsinki 03/2006
kartoitus, TEKES MASI-ohjelma. 3DMaasto -projektin seminaari
template matching and LS-adjustment of a parametric crown model with lidar
data in 3D tree top positioning and estimation of the crown shape.
UH MMVAR Dept Colloqium 2/07, HUT-colloquim
forest plots: An efficient method combining photogrammetry and field triangulation/trilateration.
of Allometry into Single-Tree Remote Sensing with LiDAR and Multiple Aerial
Images, ISPRS-Hannover 05/2007
forest inventory using LiDAR and aerial images for 3D treetop positioning,
species recognoition, height and crown width estimation, ISPRS Laserscanning, Espoo 09/2007.
intensity in mapping of ground lichens & tree species identification,
lecture in Joensuu University, 03/2008.
sensing in forestry, CBU-lecture, UH, 05/2008.
of understory liches with LiDAR data, Physense seminar 06/2008
puiden inventointi (YPI) laser ja ilmakuva-aineistosta, Evo 11/2008.
RS experiment, FGI Masala 05/2009.
- Using discrete-return
small-footprint LiDAR data for tree species recognition, UH 05/2009.
- LiDAR intensity,
UJ Nov 13, 2009