In Situ/Remote Sensing Integration to Assess Forest Health—A Review
For mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quan...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-06-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/8/6/471 |
| _version_ | 1798031661989888000 |
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| author | Marion Pause Christian Schweitzer Michael Rosenthal Vanessa Keuck Jan Bumberger Peter Dietrich Marco Heurich András Jung Angela Lausch |
| author_facet | Marion Pause Christian Schweitzer Michael Rosenthal Vanessa Keuck Jan Bumberger Peter Dietrich Marco Heurich András Jung Angela Lausch |
| author_sort | Marion Pause |
| collection | DOAJ |
| description | For mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quantity, operational applications are still limited by deficits of in situ verification. In situ sampling data as input is required in order to add value to physical imaging remote sensing observations and possibilities to interlink the forest health assessment with biotic and abiotic factors. Numerous methods on how to link remote sensing and in situ data have been presented in the scientific literature using e.g. empirical and physical-based models. In situ data differs in type, quality and quantity between case studies. The irregular subsets of in situ data availability limit the exploitation of available satellite remote sensing data. To achieve a broad implementation of satellite remote sensing data in forest monitoring and management, a standardization of in situ data, workflows and products is essential and necessary for user acceptance. The key focus of the review is a discussion of concept and is designed to bridge gaps of understanding between forestry and remote sensing science community. Methodological approaches for in situ/remote-sensing implementation are organized and evaluated with respect to qualifying for forest monitoring. Research gaps and recommendations for standardization of remote-sensing based products are discussed. Concluding the importance of outstanding organizational work to provide a legally accepted framework for new information products in forestry are highlighted. |
| first_indexed | 2024-04-11T20:00:07Z |
| format | Article |
| id | doaj.art-30194a859f8c47be8a200defc80ee39a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T20:00:07Z |
| publishDate | 2016-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-30194a859f8c47be8a200defc80ee39a2022-12-22T04:05:38ZengMDPI AGRemote Sensing2072-42922016-06-018647110.3390/rs8060471rs8060471In Situ/Remote Sensing Integration to Assess Forest Health—A ReviewMarion Pause0Christian Schweitzer1Michael Rosenthal2Vanessa Keuck3Jan Bumberger4Peter Dietrich5Marco Heurich6András Jung7Angela Lausch8Department Monitoring & Exploration Technologies, Helmholtz Center for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyGerman Environment Agency, Wörlitzer Platz 1, D-06844 Dessau-Roßlau, GermanyChair of Forest Utilization, Technische Universität Dresden, Pienner Str. 19, D-01737 Tharandt, GermanyGerman Aerospace Center, Space Administration, Koenigswinterer Str. 522-524, D-53227 Bonn, GermanyDepartment Monitoring & Exploration Technologies, Helmholtz Center for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment Monitoring & Exploration Technologies, Helmholtz Center for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyBavarian Forest National Park, Department of Conservation and Research, Freyunger Straße 2, 94481 Grafenau, GermanyMTA-SZIE Plant Ecological Research Group, Szent István University (SZIU), 2100, Gödöllő, Páter Károly u. 1. and SZIU Technical Department, 1118 Budapest, Villányi út 29-43, HungaryDepartment Computational Landscape Ecology, Helmholtz Center for Environmental Research—UFZ, Permoser Street 15, 04318 Leipzig, GermanyFor mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quantity, operational applications are still limited by deficits of in situ verification. In situ sampling data as input is required in order to add value to physical imaging remote sensing observations and possibilities to interlink the forest health assessment with biotic and abiotic factors. Numerous methods on how to link remote sensing and in situ data have been presented in the scientific literature using e.g. empirical and physical-based models. In situ data differs in type, quality and quantity between case studies. The irregular subsets of in situ data availability limit the exploitation of available satellite remote sensing data. To achieve a broad implementation of satellite remote sensing data in forest monitoring and management, a standardization of in situ data, workflows and products is essential and necessary for user acceptance. The key focus of the review is a discussion of concept and is designed to bridge gaps of understanding between forestry and remote sensing science community. Methodological approaches for in situ/remote-sensing implementation are organized and evaluated with respect to qualifying for forest monitoring. Research gaps and recommendations for standardization of remote-sensing based products are discussed. Concluding the importance of outstanding organizational work to provide a legally accepted framework for new information products in forestry are highlighted.http://www.mdpi.com/2072-4292/8/6/471remote sensingin situ samplingsensor networksmonitoringstandardizationforest healthsentinel satellitesCopernicus |
| spellingShingle | Marion Pause Christian Schweitzer Michael Rosenthal Vanessa Keuck Jan Bumberger Peter Dietrich Marco Heurich András Jung Angela Lausch In Situ/Remote Sensing Integration to Assess Forest Health—A Review Remote Sensing remote sensing in situ sampling sensor networks monitoring standardization forest health sentinel satellites Copernicus |
| title | In Situ/Remote Sensing Integration to Assess Forest Health—A Review |
| title_full | In Situ/Remote Sensing Integration to Assess Forest Health—A Review |
| title_fullStr | In Situ/Remote Sensing Integration to Assess Forest Health—A Review |
| title_full_unstemmed | In Situ/Remote Sensing Integration to Assess Forest Health—A Review |
| title_short | In Situ/Remote Sensing Integration to Assess Forest Health—A Review |
| title_sort | in situ remote sensing integration to assess forest health a review |
| topic | remote sensing in situ sampling sensor networks monitoring standardization forest health sentinel satellites Copernicus |
| url | http://www.mdpi.com/2072-4292/8/6/471 |
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