Methodology

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Integration of the sensors

The project resulted in the construction of a prototype of an integrated multisensor remote sensing platform mounted onboard a single aircraft.

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Airborne Datasets

For the first two years in the course of the project, aerial data collection is carried out 3 times during vegetation season ➪ spring – summer – autumn.

Each data collection is conducted in 37 research areas of about 600 km2.

Field Data

Simultaneously, botanical and remote sensing field measurements are taken.

Botanical measurements serve to collect a large sample of reference points for all habitats located in all research areas. These measurements will be used for classification of remote sensing data.

In the first year of field research, the botanical data was collected from:

habitats located in about 5000 test areas.

invasive and expansive plant species – succession promotors in 1800 test areas.

Field remote sensing measurements provide information which will be used for developing atmospheric correction of hyperspectral images.

 

Data analysis – classification

The objective of the analysis is to develop a methodology of identification of non-forest Natura 2000 habitats in agricultural areas using remote sensing methods.

This will be realized with the combined efforts of a large team of experts representing various disciplines, and will require the use of specialized computational units with a large computing power.

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Identification of Natura 2000 habitats

The research will cover all non-forest Natura 2000 habitats that require agricultural use:

  • 1340 Inland halophilous meadows
  • 4030 Dry heaths
  • 6120 Thermophilic, inland sandy grasslands
  • 6210 Xerothermic grasslands
  • 6230 Rich floristically mountain and lowland Nardus grasslands
  • 6410 Fluctuating Molinion meadows
  • 6440 Alluvial meadows
  • 6510 Extensively used lowland fresh meadows
  • 6520 Mountain Trisetum hay and bent grass meadows
  • 7140 Transition mires and quaking bogs
  • 7230 Mountain and lowland alkaline marshes, sedge meadows and fen bogs

The threat of succession

The objective is to develop succession process identification methodology in non-forest Natura 2000 habitats using remote sensing techniques.

The research covers the species of trees and shrubs which are succession promotors in the researched habitats.

Succession promotors: Alnus glutinosa, Betula pubescens, Salix cinerea, Salix rosmarinifolia, Pinus sylvestris, Juniperus communis, Prunus spinosa, Crataegus ssp., Rhamnus cathartica, Cornus sanguinea, Betula pendula, Populus tremula.

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The threat of invasive species

The objective is to develop the methodology of invasive alien and expansive domestic plant species identification in non-forest Natura 2000 habitats using remote sensing techniques.

The research covers invasive geographically alien and expansive domestic plant species which pose a threat to the researched habitats.

  • 10 alien invasive taxa Echinocystis lobata, Erigeron annuus, Heracleum ssp. [H. mantegazzianum, H. sosnowskyi], Lupinus polyphyllus, Padus serotina, Reynoutria ssp. [R. ×bohemica, R. japonica, R. sachalinensis], Robinia pseudoacacia, Rumex confertus, Solidago ssp. [S. canadensis, S. gigantea, S. graminifolia], Spiraea tomentosa,
  • 8 domestic expansive taxa: Calamagrostis epigejos, Cirsium arvense, Deschampsia ceaspitosa, Filipendula ulamaria, Molinia caerulea, Phragmites australis, Rubus ssp., Urtica dioica

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The threat of desiccation

The objective is to develop desiccation threat identification methodology in non-forest Natura 2000 habitats using remote sensing techniques.

The research covers Natura 2000 habitats for which desiccation is a defined threat.

  • 7140 Transition mires and quaking bogs
  • 7230 Mountain and lowland alkaline marshes, sedge meadows and fen bogs

 

Assessing the state of preservation

The objective is to optimize the methodology of inventorying and monitoring non-forest Natura 2000 habitats using remote sensing methods. This will result in developing a methodological publication aimed at technical and technological support for environment inventorying and facilitating activities in terms of environment monitoring.

Each of the classification algorithms developed in this project along with the obtained data will be analyzed in terms of effectiveness and identification accuracy, as well as time consumption of proposed procedures and the necessary technical, technological, organizational facilities and competences. The analysis pertaining to each habitat will be carried out using SWOT elements.

 


Projekt "Innowacyjne podejście wspierające monitoring nieleśnych siedlisk przyrodniczych Natura z wykorzystaniem metod teledetekcyjnych", współfinansowany ze środków Narodowego Centrum Badań i Rozwoju, w ramach programu "Środowisko naturalne, rolnictwo i leśnictwo" BIOSTRATEG/Konkurs II.