Dinesh Babu Irulappa Pillai Vijayakumar

Institut national de l’information géographique et forestière | IGN · Laboratory of Forest Inventory (LIF)

Background/Question/Methods Fire plays an important role for boreal forest succession and time since last fire (TSLF) is seen as a useful covariate to infer the spatial distribution of carbon over a large regional scale. Current methods employed to provide TSLF are either spatially or temporarily limited. Forest composition and structure may prov...

Multisource forest inventory methods were developed to improve the precision of national forest inventory estimates. These methods rely on the combination of inventory data and auxiliary information correlated with forest attributes of interest. As these methods have been predominantly tested over coniferous forests, the present study used this app...

Forests account for 80% of the total carbon exchange between the atmosphere and terrestrial ecosystems. Thus, to better manage our responses to global warming, it is important to monitor and assess forest aboveground carbon and forest aboveground biomass (FAGB). Different levels of detail are needed to estimate FAGB at local, regional and national...

Accurate estimation of aboveground biomass (AGB) using remote sensing data is still challenging and an approach based on an understanding of forest disturbance and succession could help improve AGB estimation. In the boreal forest of North America, time since last fire (TSLF) is seen as a useful variable to explain post-fire successional change and...

In northeastern Canadian boreal forests, a coarse-filter approach was adopted to provide sustainable ecosystem services in order to maintain a balance between biodiversity, ecosystem function and timber production. An old forest (>100 years) maintenance target was established considering the range of historical variability in the proportion of this...

Fire plays an important role for boreal forest succession, and time since last fire (TSLF) is therefore seen as a useful covariate to devise forest management strategies, but TSLF information is currently either spatially or temporarily limited. We therefore developed a TSLF map for an extensive region in eastern Canada (217,000 km 2) by generalizi...

Fire is an important driver of boreal succession dynamics and time since last fire (TSLF) is seen as a useful variable to explain successional change and subsequently carbon (C) storage. Over very large spatial extents (> 105 km 2), reflectance data from remote sensing instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) or...

In existing carbon budget models, carbon stocks are not explicitly related to forest successional dynamics and environmental factors. Yet, time since last fire (TSLF) is an important variable to explain successional change and subsequently carbon storage. The objective of this study was to develop a hybrid modelling approach based on the knowledge...

The breakthrough developments in geospatial technologies and the increasing availability of spatial data make geoinformation a business and a decisional element to the management. Hence, it is important to have a management plan to factor in practical and feasible data sources, in building geo applications. The authors of this paper are motivated b...