boreal forest and surface characteristics from ENVISAT multisensor data
Törmä, Juho Lumme, Kirsi Karila
The objective is
to develop novel methods to use space-borne remote sensing data for
boreal forest ecology and forestry applications with emphasis on such
ENVISAT-instruments as ASAR radar and MERIS-spectrometer. The specific
applications include: forest inventory, monitoring of soil
moisture/frost, determination of the length of growing season,
estimation of carbon balance, and land cover classification.
In addition to
ENVISAT instrumentation, the research is carried out using historical
space-borne data, especially ERS-2 SAR observations. For comparison,
extensive ground-based data are collected from selected test areas in
Finland including ground/tower-based optical and microwave
measurements. The main test site is the SMEAR II Station in
Hyytiälä, Southern Finland (Station for Measuring Forest
Ecosystem - Atmosphere Relations). SMEAR II station yields continuous
measurements on gas exchange, water transport and growth of trees.
The role of our
Institute is to take part in data processing and to study the
applicability of ENVISAT data to forest classification. Different
classifications under study are tree species, biomass, habitat type and
soil classification. The main source of data are radar instruments
onboard ERS and ENVISAT satellites. Data from MERIS instrument will
used to make fuzzy classification of Hyytiälä test area.
Helsinki University of Technology / Laboratory of Space Technology,
University of Helsinki / Department of Forest Ecology, Helsinki
University of Technology/Institute of Photogrammetry and Remote Sensing
and Tarto Observatory, Estonia.