Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests
In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/13/3360 |
| _version_ | 1827734552969216000 |
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| author | Thai Son Le Richard Harper Bernard Dell |
| author_facet | Thai Son Le Richard Harper Bernard Dell |
| author_sort | Thai Son Le |
| collection | DOAJ |
| description | In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress. |
| first_indexed | 2024-03-11T01:30:13Z |
| format | Article |
| id | doaj.art-49351326dbc54dfe95c8daaf6d9170dc |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:30:13Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-49351326dbc54dfe95c8daaf6d9170dc2023-11-18T17:25:06ZengMDPI AGRemote Sensing2072-42922023-06-011513336010.3390/rs15133360Application of Remote Sensing in Detecting and Monitoring Water Stress in ForestsThai Son Le0Richard Harper1Bernard Dell2Agriculture and Forest Sciences, Murdoch University, Murdoch, WA 6150, AustraliaAgriculture and Forest Sciences, Murdoch University, Murdoch, WA 6150, AustraliaAgriculture and Forest Sciences, Murdoch University, Murdoch, WA 6150, AustraliaIn the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.https://www.mdpi.com/2072-4292/15/13/3360droughtforest managementleaf and canopy spectral traitsremote sensing platformsvegetation indiceswater deficit |
| spellingShingle | Thai Son Le Richard Harper Bernard Dell Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests Remote Sensing drought forest management leaf and canopy spectral traits remote sensing platforms vegetation indices water deficit |
| title | Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests |
| title_full | Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests |
| title_fullStr | Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests |
| title_full_unstemmed | Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests |
| title_short | Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests |
| title_sort | application of remote sensing in detecting and monitoring water stress in forests |
| topic | drought forest management leaf and canopy spectral traits remote sensing platforms vegetation indices water deficit |
| url | https://www.mdpi.com/2072-4292/15/13/3360 |
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