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MF-RADAR

Multi-frequency RADAR imaging for the analysis of tropical forest structure in the Amazon

Total Cost €

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EC-Contrib. €

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Partnership

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 MF-RADAR project word cloud

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

public    satellites    biodiversityof    data    estimate    academic    tree    biodiversity    researcher    power    preserve    to2    tapajos    abundance    hotspot    transfer    she    ro4    sensing    amounts    expertise    greenhouse    map    global    secondments    world    aperture    amazon    stabilising    career    tropical    basin    earth    estimation    areto    marie    explanatory    diversity    impacts    scientific    entropy    climate    richness    geomorphometry    frequency    learning    courses    complementary    emissions    ro3    degradation    to1    floristic    systematic    maps    biomass    regional    geomorphometric    skills    associations    curie    remote    international    acquire    structural    species    structure    stores    position    reduce    posing    ro    leadership    ro2    aboveground    observation    satellite    synthetic    carbon    probability    stocks    variables    mapping    postgraduate    deforestation    fellow    to4    gas    training    maximum    integration    enforce    modules    rainforest    witha    fellowship    threat    brazil    disturbances    communicate    class    radar    techniques    ro1    participate    forest    machine    senior    to3   

Project "MF-RADAR" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF LEICESTER 

Organization address
address: UNIVERSITY ROAD
city: LEICESTER
postcode: LE1 7RH
website: www.le.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
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 Coordinator Country United Kingdom [UK]
 Project website https://www2.le.ac.uk/departments/geography/research/projects/mf-radar/mf-radar
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2017-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF LEICESTER UK (LEICESTER) coordinator 183˙454.00

Map

 Project objective

The tropical rainforest of the Amazon basin is a global biodiversity hotspot and stores significant amounts of carbon, stabilising the regional and global climate. Deforestation, forest degradation and climate change impacts are posing a threat to its future. This Marie Curie fellowship will develop a systematic integration of geomorphometry methods with satellite remote sensing techniques from Synthetic Aperture Radar to study the floristic-structural associations in the tropical forest of the Amazon, map disturbances and degradation, reduce greenhouse gas emissions and preserve floristic diversity. Its research objectives (RO) areto identify geomorphometric variables related to tree species abundance and richness in Tapajos, Brazil, and structural forest variables from multi-frequency radar satellites (RO1); to analyse tree species, radar data and geomorphometry witha machine-learning (maximum-entropy) approach to produce species probability maps (RO2); to determine the explanatory power of the integrated radar/geomorphometry approach for biomass mapping (RO3); and to estimate the aboveground carbon stocks (RO4). The technical and complementary training objectives (TO) are to learn advanced radar processing skills for forest structure estimation (TO1); to learn effective data integration techniques for multi-frequency radar data and geomorphometric parameters (TO2); to learn how to communicate scientific research to the wider public (TO3); and to acquire complementary and leadership skills (TO4). The fellow will undertake a world-class programme of research and training in Earth Observation research methods, several international secondments, participate in postgraduate training modules and specific researcher development courses in complementary skills. She will transfer her expertise in tropical forest structure and biodiversityof the Amazon to Europe and develop her academic career to reach and enforce a senior academic position.

 Publications

year authors and title journal last update
List of publications.
2016 Polyanna da Conceição Bispo, João Roberto dos Santos, Márcio de Morisson Valeriano, Paulo Maurício Lima de Alencastro Graça, Heiko Balzter, Helena França, Pitágoras da Conceição Bispo
Predictive Models of Primary Tropical Forest Structure from Geomorphometric Variables Based on SRTM in the Tapajós Region, Brazilian Amazon
published pages: e0152009, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0152009
PLOS ONE 11/4 2019-06-18
2017 Polyanna da Conceição Bispo, Heiko Balzter, Yadvinder Malhi, J. W. Ferry Slik, João Roberto dos Santos, Camilo Daleles Rennó, Fernando D. Espírito-Santo, Luiz E. O. C. Aragão, Arimatéa C. Ximenes, Pitágoras da Conceição Bispo
Drivers of metacommunity structure diverge for common and rare Amazonian tree species
published pages: e0188300, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0188300
PLOS ONE 12/11 2019-06-18

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The information about "MF-RADAR" are provided by the European Opendata Portal: CORDIS opendata.

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