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CReScenDo

Combining Remote Sensing Technologies for Peatland Detection and Characterization

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 CReScenDo project word cloud

Explore the words cloud of the CReScenDo project. It provides you a very rough idea of what is the project "CReScenDo" about.

missing    impacting    wetlands    released    methodology    co2    tested    panel    relations    environmental    negatively    extraordinary    remote    stored    airborne    strategies    crescendo    sites    innovative    company    intergovernmental    organic    quantifying    regional    carbon    uncertain    tools    observations    ecological    soil    quantify    peat    geomorphological    peatlands    peatland    conservation    climate    almost    geophysical    competences    atmosphere    water    career    platforms    cycle    passive    mid    picture    salt    performed    atmospheric    degradation    combines    quantification    fires    solid    hands    estimates    accuracy    secondment    training    deposits    data    pool    emissions    mitigate    tremendous    optical    map    topographic    private    first    reduce    yield    accurately    reservoirs    thickness    drainage    types    local    collected    classify    plan    host    sensing    anthropogenic    active    asia    matching    scientific    background    satellite    global   

Project "CReScenDo" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PADOVA 

Organization address
address: VIA 8 FEBBRAIO 2
city: PADOVA
postcode: 35122
website: www.unipd.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://intra.tesaf.unipd.it/cms/CReScenDo/
 Total cost 180˙277 €
 EC max contribution 180˙277 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2019-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) coordinator 180˙277.00

Map

 Project objective

CReScenDo aims at quantifying the extent and thickness of peatlands from the local to the regional scale, to accurately define their importance in the global carbon cycle. Peatlands are extraordinary reservoirs of organic carbon (almost matching, according to some estimates, the atmospheric carbon pool), which is currently being released into the atmosphere due to a number of often anthropogenic degradation processes (e.g. soil drainage, fires, etc.). The conservation of peatlands is therefore a key measure to reduce CO2 emissions and to mitigate climate change (e.g. according to the Intergovernmental Panel on Climate Change). However, regional and global estimates of peat deposits remain highly uncertain and an effective quantification methodology is still missing, negatively impacting our ability to plan effective conservation strategies. The innovative approach proposed by CReScenDo combines passive and active satellite remote sensing and geophysical data collected from airborne platforms to map extent and thickness of peat deposits at regional scale. The proposed methodology will yield a set of integrated observations providing the first large-scale picture of the relations among peat deposits, geomorphological features, and soil and environmental characteristics. Three peatland areas (two in Europe and one in Asia) are selected to implement and test the methodology, using field observations to improve the accuracy and quantify the uncertainty. The ability of the methodology to characterize/classify different peat types will also be tested and used to map the carbon pool stored at the three study sites. The applicant has a solid background in optical remote sensing and ecological modelling applied to salt-water wetlands. The hands-on training performed at the host institution and at a private company (Secondment) will provide her with new scientific competences in topographic and geophysical data analysis tools with tremendous impact on her mid/long-term career.

 Publications

year authors and title journal last update
List of publications.
2017 Silvestri S., A. Viezzoli, A.A. Pfaffhuber, A. Vettore
Airborne electromagnetic of peatlands: a case study in Norway
published pages: , ISSN: , DOI:
Annual Meeting of the American Geophysical Union, New Orleans, 11-15 December 2017 2019-10-07
2019 Silvestri S., Knight R., Viezzoli A., Richardson C., Anshari G.Z., Dewar N., Flanagan N., Comas X
Inferring peat thickness in Indonesian Peatlands using Airborne Electromagnetic methods
published pages: , ISSN: , DOI:
AGU-SEG Airborne Geophysics Workshop, Davie, Florida, 11 – 13 June 2019 2019-10-07
2018 S. Silvestri, R. Knight, A. Viezzoli C. Richardson, G.Z. Anshari, N. Flanagan, N. Dewar, A.A. Behroozmand, X. Comas, F. Efferso, I. Faber, A. Parsekian, K. Spitz, W. Wright
A ground-breaking method to map peat thickness and detect the carbon pool of Indonesian peatlands.
published pages: , ISSN: , DOI:
Annual Meeting of the American Geophysical Union, Washington DC, 10-14 December 2018 2019-10-07
2019 Sonia Silvestri, Craig W. Christensen, Asgeir O.K. Lysdahl, Helgard Anschütz, Andreas A. Pfaffhuber, Andrea Viezzoli
Peatland Volume Mapping over Resistive Substrates with Airborne Electromagnetic Technology
published pages: Publisher Americ, ISSN: 0094-8276, DOI: 10.1029/2019GL083025
Geophysical Research Letters 2019-10-07
2019 Silvestri, S., Christensen C., Lysdahl A.O.K., Anschütz H., Pfaffhuber A.A., Viezzoli A. Peatland
CRESCENDO_Brottum_Aug-Sept-2017
published pages: , ISSN: , DOI: 10.5281/zenodo.3238632
2019-10-07
2018 Noah Dewar1, Ian Gottschalk, Rosemary Knight, Ryan Smith, Sonia Silvestri, Andrea Viezzoli, Gusti Z. Anshari, Ahmad Ali Behroozmand, Xavier Comas, Flemming EffersØ, Ib Faber, Neal Flanagan, Andrew Parsekian, Curt Richardson, William Wright
Estimation of peat thickness in Indonesia from airborne time domain EM data through machine learning
published pages: , ISSN: , DOI:
AEM 2018 / 7th International Workshop on Airborne Electromagnetics 2019-10-07

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