Search - HAL-SDE - Sciences de l'environnement Access content directly

Filter your results

48 Results
authIdHal_s : christophe-proisy

Cabo Norte : Where the land ends and the mangroves begin

Christophe Proisy
Jadson Porto; Valdenia F. dos Santos; Laurent Polidori. Entre rotas e caminhos: Até onde o rio-mar chega e o mar alcança o rio, IEPA, pp.53-70, 2021
Book sections hal-03481786v1

13 years of change in the extent and physiognomy of mangroves after shrimp farming abandonment, Bali, Indonesia

Rinny Rahmania, , Christophe Proisy , Gaelle Viennois , Ariani Andayani, , Frida Sidik, , et al.
Multitemp 2015, 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Jul 2015, Annecy, France. pp.1-4, ⟨10.1109/Multi-Temp.2015.7245801⟩
Conference papers hal-01244356v1
Image document

Mud bank colonization by opportunistic mangroves: A case study from French Guiana using lidar data

Christophe Proisy , Nicolas Gratiot , E. J. Anthony , Antoine Gardel , François Fromard , et al.
Continental Shelf Research, 2009, 29 (3), pp.632-641. ⟨10.1016/j.csr.2008.09.017⟩
Journal articles halsde-00374860v1

Looking for Integrated Conservation and Development of the Coramandel Coastal Wetlands: The case Study of Kaluveli (Tamil Nadu, South India)

Raphael Mathevet , Elea Desmots , Munisamy Anbarashan , Natesan Balachandran , Gowrappan Muthusankar , et al.
Paper presented at the International Symposium on Advances in Coastal Research with Special Reference to Indo Pacific (AdCoRe IP-2019) jointly organized by the National Centre for Coastal Research (NCCR), National Institute of Ocean Technology (NIOT) & Research and Information System for Developing Countries (RIS) in Chennai from 17th to 19th December 2019, Dec 2019, Chennai, India
Conference papers hal-02902229v1

Mapping Spatial Changes in the Pichavaram mangrove from 2003 Onwards Using Very High Resolution Images, Tamil nadu Coast, India

Shuvankar Ghosh , Christophe Proisy , Gowrappan Muthusankar
International Symposium on Advances in Coastal Research with Special Reference to Indo Pacific (AdCoRe IP-2019), Dec 2019, Chennai, India. pp.149
Conference papers hal-02902368v1

Modeling the influence of leaf demography on remotely sensed data using DART and PROSPECT-D

J.B. Feret , Eloi Grau , Nicolas Barbier , D. Berveiller , J. Chave , et al.
AGU 2016, Dec 2016, San Francisco, United States. pp.1, 2016
Conference poster hal-02605290v1

Towards better biomass predictions using 3D radiative transfer modeling at very fine scale

Christophe Proisy
Paper presented at CarboShareAsia Workshop, Aug 2016, Bangkok, Thailand
Conference papers hal-02908115v1

Bidirectional texture function of metric resolution optical images of tropical forest: an approach using LiDAR hillshade simulations

Nicolas Barbier , Christophe Proisy , Cédric Vega , Pierre Couteron , Daniel Sabatier
Remote Sensing of Environment, 2011, 115 (1), pp.167-179. ⟨10.1016/j.rse.2010.08.015⟩
Journal articles istex halsde-00564264v1
Image document

Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: potential and limitations of physical modeling and machine learning.

Jean-Baptiste Féret , G. Le Maire , S. Jay , D. Berveiller , Ryad Bendoula , et al.
Remote Sensing of Environment, 2019, 231, pp.110959. ⟨10.1016/j.rse.2018.11.002⟩
Journal articles hal-02939160v1
Image document

Extended biomass allometric equations for large mangrove trees from terrestrial LiDAR data

Adewole A. Olagoke , Christophe Proisy , Jean-Baptiste Féret , Elodie Blanchard , François Fromard , et al.
Trees - Structure and Function, 2016, ⟨10.1007/s00468-015-1334-9⟩
Journal articles ird-01242762v1

Multitemporal analysis of high spatial resolution optical satellite imagery for mangrove species mapping in Bali, Indonesia

Gaelle Viennois , Christophe Proisy , Jean-Baptiste Feret , Juliana Prosperi , Frida Sidik, , et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (8), pp.3680-3686. ⟨10.1109/JSTARS.2016.2553170⟩
Journal articles hal-01373186v1

Mangrove forest dynamics using very high spatial resolution optical remote sensing

Christophe Proisy , J.B. Feret , Nicolas Lauret , Jean-Philippe Gastellu-Etchegorry , N. Baghdadi , et al.
Land Surface Remote Sensing in Urban and Coastal Areas, Elsevier, pp.269-295, 2016, 9-78178-548-160-4
Book sections hal-02605295v1

Potential and limists of satellite-derived digital surface model data for assessing flood risks in Southeast Coast of India

Gowrappan Muthusankar , Christophe Proisy , Anaïs Ricout
38th Asian Conference on Remote Sensing Space Applications: Touching Human Lives, Asian Association on Remote Sensing; Indian Society of Remote Sensing; Indian Society of Geomatics; Indian Space Research Organisation, Oct 2017, New Delhi, India
Conference papers hal-02906734v1

Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination (FOTO) of IKONOS images

Christophe Proisy , Pierre Couteron , François Fromard
Remote Sensing of Environment, 2007, 109 (3), pp.379-392. ⟨10.1016/j.rse.2007.01.009⟩
Journal articles istex hal-00164854v1

Biomass prediction in tropical forests: the canopy grain approach

Christophe Proisy , Nicolas Barbier , Michael Gueroult , Raphaël Pelissier , Jean-Philippe Gastellu-Etchegorry , et al.
Remote sensing of biomass: principles and applications, InTech, 2012, 978-953-307-315-6. ⟨10.5772/17185⟩
Book sections hal-01267823v1
Image document

Human threats and climate change impacts on mangrove ecosystem

François Fromard , Antoine Gardel , Christophe Proisy , Edward J. Anthony , Romain Walcker
Our Common Future Under Climate Change, COP21 International Scientific Conference, Jul 2015, Paris, France. 2015
Conference poster hal-02316948v1

A new mobile app based on botanical expertise for identifying Asian mangrove species

Joffrey Carle , Christophe Proisy , Juliana Prosperi , Frida Sidik , Ariani Andayani , et al.
MMM5 Mangrove, Macrobenthos, Management, Jul 2019, Singapore, Singapore
Conference papers hal-02309666v1

Assessing aboveground tropical forest biomass using Google Earth canopy images

Pierre Ploton , Raphaël Pélissier , Christophe Proisy , Théo Flavenot , Nicolas Barbier , et al.
Ecological Applications, 2012, 22 (3), pp.993-1003. ⟨10.1890/11-1606.1⟩
Journal articles hal-02313590v1
Image document

Multiscale Diagnosis of Mangrove Status in Data-Poor Context Using Very High Spatial Resolution Satellite Images: A Case Study in Pichavaram Mangrove Forest, Tamil Nadu, India

Shuvankar Ghosh , Christophe Proisy , Gowrappan Muthusankar , Hassenrück Christiane , Véronique Helfer , et al.
Remote Sensing, 2022, 14 (10), pp.2317. ⟨10.3390/rs14102317⟩
Journal articles hal-03664694v1
Image document

Mapping local density of young Eucalyptus plantations by individual tree detection in high spatial resolution satellite images

Jia Zhou , Christophe Proisy , Xavier Descombes , Guerric Le Maire , Yann Nouvellon , et al.
Forest Ecology and Management, 2013, 301, pp.129-141. ⟨10.1016/j.foreco.2012.10.007⟩
Journal articles hal-00741010v2
Image document

Dynamique des forêts tropicales par télédétection Résultats et perspectives pour les mangroves

Christophe Proisy
Université Montpellier 2 (Sciences et Techniques); Ecole doctorale Systèmes intégrés en biologie, agronomie, géosciences, hydrosciences, environnement. 2014
Reports ird-00931453v1

A better understanding of mud cracking processes gained from in situ measurements on an intertidal mudflat in French Guiana

Antoine Gardel , Christophe Proisy , Sandric Lesourd , Sylvie Philippe , Jacinthe Caillaud , et al.
Journal of Coastal Research, 2009, SI 56 (1), pp.424-428
Journal articles halsde-00419502v1

ALIVE : Atouts d’un LIdar spatial Végétation et complémentarité optique/lidar/radar pour le suivi des Ecosystèmes forestiers et l’estimation de la biomasse continentale

S. Durrieu , Nicolas Baghdadi , Nicolas Barbier , Pierre Couteron , Jean Dauzat , et al.
2013, pp.40
Other publications hal-02598539v1

Managing sediment dynamics through reintroduction of tidal flow for mangrove restoration in abandoned aquaculture ponds

Frida Sidik , Denny W. Kusuma , Bayu Priyono , Christophe Proisy , Catherine E. Lovelock
Dynamic Sedimentary Environments of Mangrove Coasts, Elsevier, 2020, 9780128164372
Book sections hal-03106214v1
Image document

Towards the development of ecosystem-based indicators of mangroves functioning state in the context of the EU water framework directive

Guillaume Dirberg , Geneviève Barnaud , Olivier Brivois , Pierre Caessteker , Marie-Christine Cormier-Salem , et al.
Vie et Milieu / Life & Environment, 2020, 70 (3-4), pp.303-310
Journal articles hal-03495716v1

Kaḻiveḷi : vaḷrccikum vaḷm pēṇaliṟkum iṭaiyil..

Elea Desmots , Raphael Mathevet , Christophe Proisy , P. Arunkumar
Uyir, 2018, pp.44-47
Journal articles hal-02101694v1
Image document

Mapping the Mangrove Forest Canopy Using Spectral Unmixing of Very High Spatial Resolution Satellite Images

Florent Taureau , Marc Robin , Christophe Proisy , François Fromard , Daniel Imbert , et al.
Remote Sensing, 2019, 11 (3), pp.367. ⟨10.3390/rs11030367⟩
Journal articles hal-02102451v1

A Multiscale Simulation Approach for Linking Mangrove Dynamics to Coastal Processes using Remote Sensing Observations

Christophe Proisy , Pascal Degenne , Edward J. Anthony , Uta Berger , Elodie Blanchard , et al.
Journal of Coastal Research, 2016, 75 (sp1), pp.810-814. ⟨10.2112/SI75-163.1⟩
Journal articles hal-02112293v1
Image document

The Amazon-influenced muddy coast of South America: A review of mud-bank–shoreline interactions

Edward J. Anthony , Antoine Gardel , Nicolas Gratiot , Christophe Proisy , Mead A. Allison , et al.
Earth-Science Reviews, 2010, 103 (3-4), pp.99-121. ⟨10.1016/j.earscirev.2010.09.008⟩
Journal articles insu-00562710v1
Image document

Monitoring mangrove forests after aquaculture abandonment using time series of very high spatial resolution satellite images: A case study from the Perancak estuary, Bali, Indonesia

Christophe Proisy , Gaëlle Viennois , Frida Sidik , Ariani Andayani , James Antony Enright , et al.
Marine Pollution Bulletin, 2018, 131, pp.61 - 71. ⟨10.1016/j.marpolbul.2017.05.056⟩
Journal articles ird-01558087v1