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Submit a Manuscript to the Journal
Geo-spatial Information Science

For a Special Issue on
Forest volume/biomass/carbon modelling with multi-source data

Abstract deadline
15 November 2021

Manuscript deadline
30 July 2022

Cover image - Geo-spatial Information Science

Special Issue Editor(s)

Dengsheng Lu, School of Geographical Sciences, Fujian Normal University
[email protected]

Qi Chen, Department of Geography and Environment,University of Hawaii at Mānoa
[email protected]

Ronald E. McRoberts, Department of Forest Resources,University of Minnesot
[email protected]

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Forest volume/biomass/carbon modelling with multi-source data

Forest ecosystems play important roles in human living environments, climatic change, and carbon cycling. Mapping, modeling, and estimating forest volume/biomass/carbon has gained great attention in the past three decades, and considerable research has been conducted using remotely sensed data at different scales. Data from different sensors with different resolutions including ground/mobile/UAV/airborne/spaceborne Lidar, radar, and optical are available and provide new opportunities to develop novel methods for accurate estimation of forest attributes. The special issue solicitates new advances on forest volume/biomass/carbon estimation using multi-source data,  advanced statistical modeling and estimation algorithms, and uncertainty analysis. The special issue will focus on the following topics:

  • Advanced methods for forest volume/biomass/carbon modelling, mapping, and estimation
  • Advanced methods to employ multi-source data for forest volume/biomass/carbon estimation
  • Advanced methods to integrate multi-scale remotely sensed data for modeling forest volume/biomass/carbon
  • Approaches using time series of remotely sensed data to model forest volume/biomass/carbon dynamics
  • Impacts of forest disturbance on forest volume/biomass/carbon change
  • Uncertainty analysis for forest volume/biomass/carbon estimation
  • Comprehensive literature review on forest volume/biomass/carbon modeling

Submission Instructions

Important dates:

  • November 15, 2021: deadline for submitting titles and abstracts (300 words)
  • July 30, 2022: deadline for submitting manuscripts
  • October 30, 2022: deadline for submission of finalized manuscripts
  • December 30, 2022: final notification of acceptance/rejection

All manuscripts are refereed through a peer-review process. All accepted manuscripts will be published in Geo-Spatial Information Science (GSIS) in Open Access (OA) .  Perspective authors are recommended to prepare their manuscript by following the author instructions of the journal GSIS (see www.tandfonline.com/tgsi). Once you have finished preparing your manuscript, please submit it through the Taylor & Francis Submission Portal(see Manuscript Submission (tandfonline.com)), ensuring that you select the appropriate Special Issue. Now Geo-spatial Information Science (GSIS) is indexed by the SCI (IF2020:4.288) and other databases (Scopus, DBLP, CSCD, GeoBase).

Publication charges (APCs) will be waived for invited manuscripts submitted to Geo-Spatial Information Science. Authors who require a waiver code should contact the Editorial Office ([email protected][email protected]) before papers are submitted.

Instructions for AuthorsSubmit an Article