Integration of forest mapping and inventory to support forest management
iForest - Biogeosciences and Forestry, Volume 3, Issue 3, Pages 59-64 (2010)
doi: https://doi.org/10.3832/ifor0531-003
Published: May 17, 2010 - Copyright © 2010 SISEF
Review Papers
Abstract
Forest inventory and forest mapping can be considered as monitoring and assessment applications that respond to different demands. However, the integration of mapping and inventory provides an effective framework for the support of forest management from multiple perspectives: (i) use of thematic maps for stratifying the inventory sample for the purpose of improving the precision of inventory estimates; (ii) coupling remotely sensed and sample inventory data for the purpose of constructing maps of inventoried forest attributes; (iii) coupling remotely sensed data and sample inventory data for the purpose of improving the precision of the inventory estimates; (iv) using inventory data as prior information to support thematic mapping; and (v) using inventory data to correct map areal estimates. This paper aims to provide general considerations on this integration issue in the form of a scientific review and commentary discussion.
Keywords
Thematic mapping, Forest inventory, Monitoring and assessment programs, Remote sensing, Probability sampling
Authors’ Info
Authors’ address
Dipartimento di Scienze dell’Ambiente Forestale e delle sue Risorse, Università della Tuscia, v. San Camillo de Lellis, I-01100 Viterbo (Italy)
Corresponding author
Paper Info
Citation
Corona P (2010). Integration of forest mapping and inventory to support forest management. iForest 3: 59-64. - doi: 10.3832/ifor0531-003
Paper history
Received: Dec 04, 2009
Accepted: Jan 23, 2010
First online: May 17, 2010
Publication Date: May 17, 2010
Publication Time: 3.80 months
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2010
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Web Metrics
Breakdown by View Type
Article Usage
Total Article Views: 58132
(from publication date up to now)
Breakdown by View Type
HTML Page Views: 47767
Abstract Page Views: 4033
PDF Downloads: 5160
Citation/Reference Downloads: 73
XML Downloads: 1099
Web Metrics
Days since publication: 5302
Overall contacts: 58132
Avg. contacts per week: 76.75
Citation Metrics
Article Citations
Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)
Total number of cites (since 2010): 60
Average cites per year: 4.29
Publication Metrics
by Dimensions ©
Articles citing this article
List of the papers citing this article based on CrossRef Cited-by.
References
Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. In: “Angewandte geographische informationsverarbeitung XI beiträge zum AGIT-Symposium Salzburg” (Strobl J, Blascke T, Greisebener G eds). Herbert Wichmann Verlag, Karlsruhe, Germany.
Gscholar
Introduction to remote sensing. Fourth Edition. The Guildford Press, New York, USA.
Gscholar
Thematic maps and statistics. In: “Land cover and land use information systems for European Union policy needs”. Office for Official Publications of the European Communities, Luxembourg, pp. 219-228.
Gscholar
Valutazione dell’accuratezza tematica in cartografia forestale. L’Italia Forestale e Montana 3: 153-161.
Gscholar
Stand-level forest type approach in Italy: experiences from the last twenty years. In: “Monitoring and indicators for Forest Biodiversity in Europe - from ideas to Operationality” (Marchetti M ed). EFI Proceedings 51: 143-152.
Gscholar
Design-based and model-based inference in forest inventories. ISAFA Comunicazioni di Ricerca 2: 13-23.
Gscholar
Sampling strategies for natural resources and the environment. Chapman & Hall, New York, USA.
Gscholar
Forest inventory. Methodology and applications. Springer, Dordrecht, The Netherlands.
Gscholar
New technologies and methodologies for national forest inventories. Unasylva 53: 10-15.
Gscholar
A primer on stand and forest inventory designs. USDA Forest Service, General Technical Report WO-54, Portland, USA.
Gscholar
A comparison of multipurpose resource inventories (MRIs) throughout the world. EFI Working Paper 14, Joensuu, Finland.
Gscholar
Sampling techniques for forest inventories. Chapman & Hall, New York, USA.
Gscholar
Satellite image-based estimates of forest area for international reporting. In: Proceedings of the “International Symposium on National Forest Inventory”, Koresa Forest Research Institute, Korean Society of Forest Resources Measurements, Yangyang, South Korea, pp. 3-12.
Gscholar
Combining remote sensing and field data for deriving unbiased estimates of forest parameters over large regions. In: “Advances in forest inventory for sustainable forest management and biodiversity monitoring” (Corona P, Koehl M, Marchetti M eds). Kluwer, Dordrecht, The Netherlands, pp. 19-32.
Gscholar
Improved forest statistics from the Swedish National Inventory by combining and optical satellite data using post-stratification. ForestSat 2005, Boras, Sweden, vol. 8a, pp. 22-26.
Gscholar
Use of LIDAR for forest inventory and forest management application. In: Proceedings of the “Seventh annual forest inventory and analysis symposium”, Portland, ME (McRoberts RE, Reams GA, Van Deusen PC, McWilliams WH eds). Gen. Tech. Rep. WO-77, USDA, Forest Service, Washington, DC, USA, pp. 193-202.
Gscholar
Recent progress in digital photogrammetric stereo cameras and data evaluation. Springer, Berlin/Heidelberg, Germany.
Gscholar
Model assisted survey sampling. Springer-Verlag, New York, USA.
Gscholar
Sampling methods for multiresource forest inventory. Wiley, New York, USA.
Gscholar
Accuracy assessment. In: “The SAGE handbook of remote sensing” (Warner TA, Nellis MD, Foody GM eds). Sage Publications, New York, USA, pp. 297-309.
Gscholar
A methodology for forest inventory using GIS techniques for carbon sequestration analysis in the Río Grande de Arecibo watershed. American Society of Agricultural and Biological Engineers, Annual Meeting, Paper no. 045003, St. Joseph, Michigan, USA.
Gscholar
The role of remote sensing in global forest assessment. A remote sensing background paper for Kotka IV expert consultation. Kotka, FAO, Rome.
Gscholar
Establishing forest inventory reference definitions for forest and growing stock: a study towards common reporting. Sylva Fennica 42: 247-266.
Gscholar
Remote sensing of forest environments: concepts and case studies. Kluwer, Dordrecht, The Netherlands.
Gscholar