Repository logo
Log In(current)
  1. Home
  2. Unitus Open Access
  3. Dipartimento di Scienze dell'Ambiente Forestale e delle sue Risorse
  4. DiSAFRi - Archivio della produzione scientifica
  5. Advanced earth observation approach for multiscale forest ecosystem services modelling and mapping (MIMOSE)

Advanced earth observation approach for multiscale forest ecosystem services modelling and mapping (MIMOSE)

Author(s)
Chirici, Gherardo
Sallustio, Lorenzo
Vizzarri, Matteo
Marchetti, Marco
Barbati, Anna
more
Date Issued
2014
Type
article
DOI
10.4462/annbotrm-11810
Abstract
In the last decade ecosystem services (ES) have been proposed as a method for quantifying the multifunctional role of forest ecosystems. Their spatial distribution on large areas is frequently limited by the lack of information, because field data collection with traditional methods requires much effort in terms of time and cost. In this contribution we propose a methodology (namely, Multiscale Mapping of ecoSystem services - MiMoSe) based on the integration of remotely sensed images and field observation to produce a wall-to-wall geodatabase of forest parcels accompanied with several information useful as a basis for future trade-off analysis of different eS. Here, we present the application of the MiMoSe approach to a study area of 443,758 hectares coincident with the administrative Molise region in Central italy. The procedure is based on a local high resolution forest types map integrated with information on the main forest management approaches. through the non-parametric k-nearest neighbors techniques, we produced a growing stock volume map integrating a local forest inventory with a multispectral satellite IRS LISS III imagery. With the growing stock volume map we derived a forest age map for even-aged forest types. Later these information were used to automatically create a vector forest parcels map by multidimensional image segmentation that were finally populated with a number of information useful for ES spatial estimation. The contribution briefly introduces to the MIMOSE methodology presenting the preliminary results we achieved which constitute the basis for a future implementation of ES modeling
Citation
Chirici, G. et al. 2014. Advanced earth observation approach for multiscale forest ecosystem services modelling and mapping (MIMOSE). "Annali di Botanica" 4: 27–34
Subjects

Ecosystem services

Earth observation

Remote sensing

MIMOSE Project

Forests

Mapping

Handle
http://hdl.handle.net/2067/2596
http://annalidibotanica.uniroma1.it/index.php/Annalidibotanica/article/view/11810
File(s)
Thumbnail Image
Name

ANNALI DI BOTANICA_ ADVANCED EARTH OBSERVATION.pdf

Size

1.07 MB

Format

Adobe PDF

Checksum (MD5)

f6ccc4b1cd09f85fafde673907017027

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify