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PPS Arctic Norway:

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LiDAR data - NE sites only - July 2005. PPS Arctic Second Annual Meeting. ... Optech ALTM3033 LiDAR data. Gives ground surface and tree height ... – PowerPoint PPT presentation

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Title: PPS Arctic Norway:


1
  • PPS Arctic Norway
  • What have we been doing?
  • during the last year ()
  • during the last 2 days

2
What we have been doing over the last 2
days? Discussion of data already collected for
WP1 and WP2 - airborne remote sensing data plus
field data Planned WP1 activities, focussed on
Ingrid Mathisens PhD project - stand
structure - age structure - growth rate -
other structural parameters (canopy density
etc.) Planned WP2 activities (applicable beyond
Norwegian project) - circumarctic treeline (or)
mapping using satellite imagery - validation
from field data (with appropriate protocols) -
determination of past changes at circumarctic and
local scales Outline of WP3 activities -- and
implications for protocol development
3
Airborne remote sensing data collected by NERC
ARSF U of Cambridge ULM Scanner imagery - all
sites - July 2004 LiDAR data - NE sites only -
July 2005
4
Example study site Porsangmoen, Norway
Pinus sylvestris, Betula pubescens
5
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6
Airborne multispectral imagery (ATM _at_ 4.5 m, CASI
_at_ 3.6 m) collected during NERC ARSF campaign
20.07.04
Imagery can be classified, but some problems
from variable imaging/illumination
geometry inadequate georeferencing (difficult to
mosaic image strips) spatial resolution
7
Optech ALTM3033 LiDAR data Gives ground
surface and tree height sampling (grid)
interval around 2 m (resolves trees) height
accuracy around 10 cm datasets are initially
awkward to work with
Photo from Naturhistoriska Riksmuseet, Sweden
8
Resolution of pulse difference data allows
individual trees to be identified
9
Forest structural parameters - distance to
nearest tree (Euclidean Distance Map with tree
anything over 2 m)
10
position of forest edge varies systematically
with resolution
11
Field data from Annika - structural parameters
along 50 m transects, plus area
statistics Integration with field data planned
12
MODIS data products Existing land cover
products are not optimised for arctic/subarctic
NDVI, LAI etc products have significant scope
for treeline characterisation
13
MODIS data products present interesting
possibilities but require validation for arctic
and investigation of scaling relations
14
MODIS 12Q1 type 1 Land cover based on IGBP
classification
15
MODIS 12Q1 type 2 Land cover based on University
of Maryland modification of IGBP classification
16
MODIS 12Q1 type 5 Land cover based on Plant
Functional Types
17
Principal Component Analysis of temporal
variation in LAI
18
Circumpolar mapping of the TTI use of
satellite Remote Sensing data essential need
to use MODIS/MERIS data with spatial resolution
1 km (even so, data volumes are large and can be
enormous without care) need to understand
scale relationships (how does an ecologists
tree line differ from a satellites tree
line? need validating data from a wide range
of sites around the Arctic
19
  • PPS Arctic Norway tasks
  • - organise by WP, (sub-) objectives, tasks,
    linkages, timetable
  • a possible model for other groups within PPS
    Arctic?

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