Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images
The main objectives of the research work were to determine the usefulness of Landsat and SPOT data for monitoring various forest parameters, and to assess the impact of changeable climatic conditions with the use of vegetation indices derived from remotely sensed data. Vegetation indices describing...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-01-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/22797254.2017.1414573 |
| _version_ | 1819237237313765376 |
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| author | Zbigniew Bochenek Dariusz Ziolkowski Maciej Bartold Karolina Orlowska Adrian Ochtyra |
| author_facet | Zbigniew Bochenek Dariusz Ziolkowski Maciej Bartold Karolina Orlowska Adrian Ochtyra |
| author_sort | Zbigniew Bochenek |
| collection | DOAJ |
| description | The main objectives of the research work were to determine the usefulness of Landsat and SPOT data for monitoring various forest parameters, and to assess the impact of changeable climatic conditions with the use of vegetation indices derived from remotely sensed data. Vegetation indices describing various aspects of plant condition and vegetation structure were derived from satellite images, and their values were analysed in a temporal profile in different vegetation seasons, in conjunction with meteorological parameters. The results of analyses proved that dedicated vegetation indices of water stress in plants – the disease water stress index (DSWI) and normalized difference infrared index (NDII) – are able to detect changeable climatic conditions, especially the impact of drought on forest ecosystems. The indices are also useful for characterising types of forest site and tree stand mixture, in particular differentiating dry, fresh and humid forest sites. Results of analysis of satellite-based indices were supported by conclusions drawn from a study of vegetation parameters obtained in the course of field campaigns. |
| first_indexed | 2024-12-23T13:17:08Z |
| format | Article |
| id | doaj.art-bfa6d4ae28134352b3a5af029c86da58 |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-12-23T13:17:08Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-bfa6d4ae28134352b3a5af029c86da582022-12-21T17:45:33ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-0151116618110.1080/22797254.2017.14145731414573Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite imagesZbigniew Bochenek0Dariusz Ziolkowski1Maciej Bartold2Karolina Orlowska3Adrian Ochtyra4Institute of Geodesy and CartographyInstitute of Geodesy and CartographyInstitute of Geodesy and CartographyUniversity of WarsawUniversity of WarsawThe main objectives of the research work were to determine the usefulness of Landsat and SPOT data for monitoring various forest parameters, and to assess the impact of changeable climatic conditions with the use of vegetation indices derived from remotely sensed data. Vegetation indices describing various aspects of plant condition and vegetation structure were derived from satellite images, and their values were analysed in a temporal profile in different vegetation seasons, in conjunction with meteorological parameters. The results of analyses proved that dedicated vegetation indices of water stress in plants – the disease water stress index (DSWI) and normalized difference infrared index (NDII) – are able to detect changeable climatic conditions, especially the impact of drought on forest ecosystems. The indices are also useful for characterising types of forest site and tree stand mixture, in particular differentiating dry, fresh and humid forest sites. Results of analysis of satellite-based indices were supported by conclusions drawn from a study of vegetation parameters obtained in the course of field campaigns.http://dx.doi.org/10.1080/22797254.2017.1414573Climate impactforest monitoringhigh-resolution datavegetation indexdrought impact |
| spellingShingle | Zbigniew Bochenek Dariusz Ziolkowski Maciej Bartold Karolina Orlowska Adrian Ochtyra Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images European Journal of Remote Sensing Climate impact forest monitoring high-resolution data vegetation index drought impact |
| title | Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images |
| title_full | Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images |
| title_fullStr | Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images |
| title_full_unstemmed | Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images |
| title_short | Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images |
| title_sort | monitoring forest biodiversity and the impact of climate on forest environment using high resolution satellite images |
| topic | Climate impact forest monitoring high-resolution data vegetation index drought impact |
| url | http://dx.doi.org/10.1080/22797254.2017.1414573 |
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