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USE OF SENTINEL-2 DATA FOR FOREST INVENTORY

Cătălina Cristea

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.3/s11.090View metrics

Abstract

Due to the fact that suitable information regarding the resources in forest administration in very important, forest inventory of fields is used in forestry to assess and monitor forests on a wide scale. Today forest and land cover parameters are estimated using satellite and ground reference data. There are several field and remote sensing methods which are used for providing data but with high cost in order to fulfill and sustain the requirements. An alternative solution to these methods is the Earth Observation satellite mission Sentinel-2, as part of the Copernicus program. This type of satellites provides images with higher temporal resolution which can be used to analyze and detect important forest parameters like size or spatial extension. Also, it has to be mentioned that an advantage of the mission is represented by the multiple observations available in different moments, making possible a miscellaneous evaluation. The paper will present a possibility of providing important information and data regarding the forests mapping using Earth Observation satellites, resources which can be used for better decisions in forest management.

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Publication details

Title
USE OF SENTINEL-2 DATA FOR FOREST INVENTORY
Authors
Cătălina Cristea
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
713-718
SWS Citekey
Cristea201811713718
ISSN
1314-2704
ISBN
978-619-7408-41-6
Language
en
Publication type
Conference Paper
Keywords
References6
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  2. ESA, https://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Overview4 (accessed May 2018)

  3. Gaudel A., Languille F., Delvit J. M., Michel J., Cournet M., Poulain V., Youssefi D., Sentinel-2 Global Reference image validation and application to multitemporal performances and high latitude digital surface model, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII – 1/W1, 2017, ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 - EuroCOW 17, 6 – 9 June 2017, Hannover, Germany, pp. 447-454, https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/447/2017/isprs-archives-XLII-1-W1-447-2017.pdf (accessed May 2018)

  4. Hojas-Gascon L., Belward A., Eva H., Ceccherini G., Hagolle O., Garcia J., Cerutti P., Potential improvement for orest cover and forest degradation mapping with forthcoming Sentinel-2 program, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL – 7/W3, 2015, 36th International Symposium on Remote Sensing of Environment, 11 – 15 May 2015, Berlin, Germany, pp. 417 – 423, https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/417/2015/isprsarchives-XL-7-W3-417-2015.pdf (accessed May 2018)

  5. Koch B., Remote Sensing supporting national forest inventories NFA, http://www.fao.org/fileadmin/user_upload/national_forest_assessment/images/PDFs/English/KR2_EN__8_.pdf (accessed May 2018)

  6. Puletti N., Chianucci F., Castaldi C., Use of Sentinel-2 for forest classification in Mediterranean environments, Annals of Silvicultural Research, pp. 1 – 7, 2017, http://ojs-cra.cilea.it/index.php/asr (accessed May 2018)

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