Swiss Federal Institute for Forest, Snow and Landscape Research Preserving Switzerland's natural...

Swiss Federal Institute for Forest, Snow and Landscape Research

Preserving Switzerland's natural

heritage

Achilleas PsomasJanuary 23rd,2006

University of Zurich

Remote Sensing for the protection and conservation of Swiss dry meadows and pastures


Outline

Introduction-Problem description Project Objectives Research plan - Scaling Scientific collaboration Remote Sensing – Spectral Reflectance Potential Outcome


Introduction Dry meadows and pastures in Switzerland are

species-rich habitats resulting from a traditional agricultural land use.

Compositional and structural characteristics depend on climate, topography, and the cultural history of each area

40% of plant and over 50% of animal species present on dry meadows are classified as endangered

90% of dry grasslands have been transformed to other land cover types


Introduction Based on the Federal Law on the Protection of Nature and Landscape, the most valuable grasslands areas should be mapped and evaluated

TWW Project "Dry Grassland in Switzerland"(Trockenwiesen und –weiden)

Initiated in 1995

Creation of a federal inventory so ecologically valuable grasslands could be given an increased protection provided for by law.

Limitations of existing methods Time consuming

Very expensive

Monitoring difficult


Research Objectives - Research Plan General ObjectiveTo develop, apply, and validate different methods based on remote sensing datasets and techniques for identification and monitoring of dry meadows and pastures in Switzerland

Main Project blocks:

Part A: Field Spectrometry-(Plot to Field)

Part B: Imaging Spectrometry-(Field to Region)

Part C: Multitemporal Landsat TM approach-(Region

to

Landscape)


Scaling-General

Part SensorSpatial

ResolutionSpectral

ResolutionSpatial

CoverageAltitude

A) Field Spectrometry

ASD Field Spectroradiomete

r0.5m 2150 bands 6-8 fields/day 1.5m

B) Imaging Spectrometry HyMap 5m 128 bands 12km x 4km 3km

C) Multitemporal Landsat TM

Landsat TM 30m 7 bands 180km x 180km 700km


Scaling-I

Part SensorSpatial

ResolutionSpectral

ResolutionSpatial

CoverageAltitude

A) Field Spectrometry

ASD Field Spectroradiomete

r0.5m 2150 bands 6-8 fields/day 1.5m


Scaling-II

Part SensorSpatial

ResolutionSpectral

ResolutionSpatial

CoverageAltitude

B) Imaging Spectrometry HyMap 5m 128 bands 12km x 4km 3km


Scaling-III

Part SensorSpatial

ResolutionSpectral

ResolutionSpatial

CoverageAltitude

C) Multitemporal Landsat TM

Landsat TM 30m 7 bands 180km x 180km 700km


Scaling-II


Remote Sensing – Spectral Reflectance

The total amount of radiation that strikes an object is referred to as the incident radiation

incident radiation = reflected radiation + absorbed radiation + transmitted radiation


Remote Sensing – Spectral Reflectance

Spectral Response of Vegetation


Scientific collaboration

● Swiss Federal Research Institute WSL,Switzerland

● Remote Sensing Laboratories,University of Zurich

Switzerland.

● Wageningen University, The Netherlands

● Oak Ridge National Laboratory,Utah State University,USA


Potential Outcome-Benefits ●Valuable scientific outcome since assessing the status and historical range of spectral variability of conserved grasslands has not been performed to date.

●Strong scientific collaboration and networking.

●A well tested set of statistical tools for identification, planning and monitoring of dry meadows in Switzerland.

●Significant reduction of financial costs for monitoring purposes.

●A faster and more efficient response to grassland-type change since field teams can go directly to pre-selected “hot spots”.

●A merge of traditional sampling methodologies with cutting edge technology like advanced remote sensing sensors.


Thank you for your attentionThank you for your attention


Field Spectrometry II


Research Plan

Main Project blocks:

Part A: Field Spectrometry-(Plot to Field)

Part B: Imaging Spectrometry-(Field to Region)

Part C: Multitemporal Landsat TM approach-

(Region to

Landscape)


Research Objectives General ObjectiveTo develop, apply, and validate different methods based on remote sensing datasets and techniques for identification and monitoring of dry meadows and pastures in Switzerland

Specific ObjectivesExamine the potential of using the seasonal variability in spectral reflectance for discriminating dry meadows and pastures.

Identify the best spectral wavelengths to discriminating grasslands of different type. Which are the spectral wavelengths with statistical significant differences?

Identify the optimal time or times during the growing season for discriminating different types of grasslands.


Discussion-Further steps Increased spectral resolution of hyperspectral recordings provide big

opportunities for discriminating grassland types.

Multitemporal recordings give a better understanding of the differences between grassland types during the growing season.

Analysis on continuum removed spectra gave a more stable but smaller number of significant wavelengths, enhancing certain features and smoothing others.

Spectral variability within the grasslands is important and needs to be taken into consideration.

Processing of the data and statistical analysis is done in R, easily repeated and adjustable.

Swiss Federal Institute for Forest, Snow and Landscape Research Preserving Switzerland's natural...

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