Controlling for upscaling uncertainty in assessment of forest aboveground biomass in the Western Ghats of India

Durée : 2013 - 2017
Programme : CEFIPRA (Centre Franco-Indien pour la promotion de la recherche avancée)
Portée : Internationale
Biomasse épigée
Structure 3D
Forêts tropicales
Texture de canopée
Ghâts occidentaux de l'Inde.

The objective of our project is to assess uncertainty in evaluation of forest aboveground biomass at critical steps of the upscaling process from local forest data to regional extrapolations, in order to improve largescale biomass and carbon stock assessments. It focuses on the humid forests of the Western Ghats of India, for which field data, satellite images and detailed vegetation maps are available. This project is an accompanying research of the National Carbon Project (NCP) leaded by the Indian Principal Collaborator. It is also part of a research programme of the French Principal Collaborator, which searches for a pertinent integration of the allometric theory of plants with 3D simulations of forest stand dynamics and canopy texture analysis in order to predict properties of forest stands at multiple spatial scales. The project has great potential applications within the framework of NCP and more generally within the UN-REDD programme.


  • Indian Institue of Remote Sensing / National Remote Sensing Center (NRSC)
  • Institut Français de Pondichéry (IFP, Inde)


Pargal, S., Fararoda, R., Rajashekar, G. , Balachandran, N., Rejou-Mechain, M., Barbier, N., Jha, C. S. , Pélissier, R., Dadhwal, V. K. , Couteron, P., 2017. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. Remote Sensing, 9 (3) : 1-20.

Suraj Reddy, R., Rajashekar, G. , Jha, C. S. , Dadhwal, V. K. , Pélissier, R., Couteron, P., 2017. Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Forests of Western Ghats, India. Journal of the Indian Society of Remote Sensing , 45 (4) : 657-665.

Barbier, N., Couteron, P., 2015. Attenuating the bidirectional texture variation of satellite images of tropical forest canopies. Remote Sensing of Environment, 171 : 245-260.

Véga, C., Vepakomma, U., Morel, J. , Bader, J.-L., Rajashekar, G. , Jha, C. S. , Ferêt, J., Proisy, C., Pélissier, R., Dadhwal, V. K. , 2015. Aboveground-biomass estimation of a complex tropical forest in India using lidar. Remote Sensing, 7 (8) : 10607-10625.

Ploton, P., Pélissier, R., Proisy, C., Flavenot, T., Barbier, N., Rai, S. N., Couteron, P., 2012. Assessing above-ground tropical forest biomass using Google Earth canopy images. Ecological Applications, 22 (3) : 993-1003.