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

Total Cost €


EC-Contrib. €






 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.

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

Project "MF-RADAR" data sheet

The following table provides information about the project.


Organization address
postcode: LE1 7RH

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 United Kingdom [UK]
 Project website
 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


Take a look of project's partnership.

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


 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.


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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