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Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth
Vegetation optical depth (VOD) satellite microwave retrievals provide significant insights into vegetation water content and responses to hydroclimatic changes. While VOD variations are commonly linked to dry biomass and live fuel moisture content (LFMC), the impact of canopy temperature (Tc) remain...
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Published in: | Geophysical research letters 2024-08, Vol.51 (15), p.n/a |
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description | Vegetation optical depth (VOD) satellite microwave retrievals provide significant insights into vegetation water content and responses to hydroclimatic changes. While VOD variations are commonly linked to dry biomass and live fuel moisture content (LFMC), the impact of canopy temperature (Tc) remains overlooked in large‐scale studies. Here, we investigated the impact of Tc on L‐band (1.4 GHz) and X‐band (10.7 GHz) VOD at diurnal and seasonal timescales. Synthetic benchmark VOD was created using realistic fields of Tc, LFMC, and biomass in an electromagnetic model. Perturbation experiments revealed that Tc strongly affects diurnal VOD variations at both L‐band and X‐band. Seasonally, while biomass emerges as the largest contributor to VOD variations in 70% (at X‐band) and 90% (at L‐band) of our study region, Tc and LFMC still play substantial roles. The findings stress the importance of refining retrieval algorithms to distinguish Tc, LFMC, and biomass effects for future VOD applications in ecohydrology.
Plain Language Summary
Satellite measurements known as vegetation optical depth (VOD) are sensitive to how much water plants contain (i.e., their hydration level). Because of this, VOD allows researchers to study how ecosystems respond to changes in weather, climate, and other factors. However, besides water, other variables like the temperature of the plants and their biomass can also change satellite VOD readings. In this study, we used computer simulations to examine how canopy temperature, relative water content, and plant biomass may affect these satellite readings. We found that canopy temperature has a surprisingly strong impact on VOD variations, especially at the diurnal timescale. Our results highlight the need to account for plant temperature influence in future VOD applications.
Key Points
A simulation approach was used to investigate how canopy temperature, live fuel moisture content, and dry biomass affect VOD variations
The impact of canopy temperature on VOD variations is more substantial than previously assumed, both at diurnal and seasonal timescales
To interpret VOD dynamics, algorithms should differentiate between temperature, live fuel moisture content, and biomass contributions |
doi_str_mv | 10.1029/2024GL110094 |
format | article |
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Plain Language Summary
Satellite measurements known as vegetation optical depth (VOD) are sensitive to how much water plants contain (i.e., their hydration level). Because of this, VOD allows researchers to study how ecosystems respond to changes in weather, climate, and other factors. However, besides water, other variables like the temperature of the plants and their biomass can also change satellite VOD readings. In this study, we used computer simulations to examine how canopy temperature, relative water content, and plant biomass may affect these satellite readings. We found that canopy temperature has a surprisingly strong impact on VOD variations, especially at the diurnal timescale. Our results highlight the need to account for plant temperature influence in future VOD applications.
Key Points
A simulation approach was used to investigate how canopy temperature, live fuel moisture content, and dry biomass affect VOD variations
The impact of canopy temperature on VOD variations is more substantial than previously assumed, both at diurnal and seasonal timescales
To interpret VOD dynamics, algorithms should differentiate between temperature, live fuel moisture content, and biomass contributions</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2024GL110094</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Algorithms ; Biomass ; Canopies ; Canopy ; Depth ; Diurnal ; Ecohydrology ; Mathematical models ; Moisture content ; Optical analysis ; Optical thickness ; Plant biomass ; Plant cover ; Plants ; Plants (botany) ; Satellites ; Temperature ; Variation ; Vegetation ; Water content ; Water depth</subject><ispartof>Geophysical research letters, 2024-08, Vol.51 (15), p.n/a</ispartof><rights>2024. The Author(s). Geophysical Research Letters published by Wiley Periodicals LLC on behalf of American Geophysical Union.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2975-2e96d55f4760d2dc9de1f61a472dfb4bcbd67f9b58c32157c8a8fb515615f49a3</cites><orcidid>0000-0002-2541-6382 ; 0000-0003-1547-6995 ; 0000-0001-6883-865X ; 0000-0002-2810-1722</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2024GL110094$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2024GL110094$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11514,11562,27924,27925,46052,46468,46476,46892</link.rule.ids></links><search><creatorcontrib>Zhao, Meng</creatorcontrib><creatorcontrib>Humphrey, Vincent</creatorcontrib><creatorcontrib>Feldman, Andrew F.</creatorcontrib><creatorcontrib>Konings, Alexandra G.</creatorcontrib><title>Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth</title><title>Geophysical research letters</title><description>Vegetation optical depth (VOD) satellite microwave retrievals provide significant insights into vegetation water content and responses to hydroclimatic changes. While VOD variations are commonly linked to dry biomass and live fuel moisture content (LFMC), the impact of canopy temperature (Tc) remains overlooked in large‐scale studies. Here, we investigated the impact of Tc on L‐band (1.4 GHz) and X‐band (10.7 GHz) VOD at diurnal and seasonal timescales. Synthetic benchmark VOD was created using realistic fields of Tc, LFMC, and biomass in an electromagnetic model. Perturbation experiments revealed that Tc strongly affects diurnal VOD variations at both L‐band and X‐band. Seasonally, while biomass emerges as the largest contributor to VOD variations in 70% (at X‐band) and 90% (at L‐band) of our study region, Tc and LFMC still play substantial roles. The findings stress the importance of refining retrieval algorithms to distinguish Tc, LFMC, and biomass effects for future VOD applications in ecohydrology.
Plain Language Summary
Satellite measurements known as vegetation optical depth (VOD) are sensitive to how much water plants contain (i.e., their hydration level). Because of this, VOD allows researchers to study how ecosystems respond to changes in weather, climate, and other factors. However, besides water, other variables like the temperature of the plants and their biomass can also change satellite VOD readings. In this study, we used computer simulations to examine how canopy temperature, relative water content, and plant biomass may affect these satellite readings. We found that canopy temperature has a surprisingly strong impact on VOD variations, especially at the diurnal timescale. Our results highlight the need to account for plant temperature influence in future VOD applications.
Key Points
A simulation approach was used to investigate how canopy temperature, live fuel moisture content, and dry biomass affect VOD variations
The impact of canopy temperature on VOD variations is more substantial than previously assumed, both at diurnal and seasonal timescales
To interpret VOD dynamics, algorithms should differentiate between temperature, live fuel moisture content, and biomass contributions</description><subject>Algorithms</subject><subject>Biomass</subject><subject>Canopies</subject><subject>Canopy</subject><subject>Depth</subject><subject>Diurnal</subject><subject>Ecohydrology</subject><subject>Mathematical models</subject><subject>Moisture content</subject><subject>Optical analysis</subject><subject>Optical thickness</subject><subject>Plant biomass</subject><subject>Plant cover</subject><subject>Plants</subject><subject>Plants (botany)</subject><subject>Satellites</subject><subject>Temperature</subject><subject>Variation</subject><subject>Vegetation</subject><subject>Water content</subject><subject>Water depth</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU-P0zAQxa0VK23Z5cYHiMSVgMfxn_iIFiiVIlVChavlxOPikibBdoX67XEpQnva00hvfvPmSY-Q10DfAWX6PaOMrzsASjW_ISvQnNctpeoFWV2kumVK3pGXKR0opQ1tYEV2OzwuGG0-Raw2qerCTxzPlZ2qzXGZY7ZTrrbHkFKYpyoUdcoYl4g5TPvqO-4x23xZbZccBjtWH3HJPx7Irbdjwlf_5j359vnT7vFL3W3Xm8cPXT0wrUTNUEsnhOdKUsfcoB2Cl2C5Ys73vB96J5XXvWiHhoFQQ2tb3wsQEsqRts092Vx93WwPZonhaOPZzDaYv8Ic98bGkmtE00sPziPF8pg70WgpbQOccu6hhBmK15ur1xLnXydM2RzmU5xKfNNQDVIoaGWh3l6pIc4pRfT_vwI1lw7M0w4Kzq747zDi-VnWrL92UpV0zR8bc4bU</recordid><startdate>20240816</startdate><enddate>20240816</enddate><creator>Zhao, Meng</creator><creator>Humphrey, Vincent</creator><creator>Feldman, Andrew F.</creator><creator>Konings, Alexandra G.</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2541-6382</orcidid><orcidid>https://orcid.org/0000-0003-1547-6995</orcidid><orcidid>https://orcid.org/0000-0001-6883-865X</orcidid><orcidid>https://orcid.org/0000-0002-2810-1722</orcidid></search><sort><creationdate>20240816</creationdate><title>Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth</title><author>Zhao, Meng ; Humphrey, Vincent ; Feldman, Andrew F. ; Konings, Alexandra G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2975-2e96d55f4760d2dc9de1f61a472dfb4bcbd67f9b58c32157c8a8fb515615f49a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Biomass</topic><topic>Canopies</topic><topic>Canopy</topic><topic>Depth</topic><topic>Diurnal</topic><topic>Ecohydrology</topic><topic>Mathematical models</topic><topic>Moisture content</topic><topic>Optical analysis</topic><topic>Optical thickness</topic><topic>Plant biomass</topic><topic>Plant cover</topic><topic>Plants</topic><topic>Plants (botany)</topic><topic>Satellites</topic><topic>Temperature</topic><topic>Variation</topic><topic>Vegetation</topic><topic>Water content</topic><topic>Water depth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Meng</creatorcontrib><creatorcontrib>Humphrey, Vincent</creatorcontrib><creatorcontrib>Feldman, Andrew F.</creatorcontrib><creatorcontrib>Konings, Alexandra G.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Free Content</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Meng</au><au>Humphrey, Vincent</au><au>Feldman, Andrew F.</au><au>Konings, Alexandra G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth</atitle><jtitle>Geophysical research letters</jtitle><date>2024-08-16</date><risdate>2024</risdate><volume>51</volume><issue>15</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Vegetation optical depth (VOD) satellite microwave retrievals provide significant insights into vegetation water content and responses to hydroclimatic changes. While VOD variations are commonly linked to dry biomass and live fuel moisture content (LFMC), the impact of canopy temperature (Tc) remains overlooked in large‐scale studies. Here, we investigated the impact of Tc on L‐band (1.4 GHz) and X‐band (10.7 GHz) VOD at diurnal and seasonal timescales. Synthetic benchmark VOD was created using realistic fields of Tc, LFMC, and biomass in an electromagnetic model. Perturbation experiments revealed that Tc strongly affects diurnal VOD variations at both L‐band and X‐band. Seasonally, while biomass emerges as the largest contributor to VOD variations in 70% (at X‐band) and 90% (at L‐band) of our study region, Tc and LFMC still play substantial roles. The findings stress the importance of refining retrieval algorithms to distinguish Tc, LFMC, and biomass effects for future VOD applications in ecohydrology.
Plain Language Summary
Satellite measurements known as vegetation optical depth (VOD) are sensitive to how much water plants contain (i.e., their hydration level). Because of this, VOD allows researchers to study how ecosystems respond to changes in weather, climate, and other factors. However, besides water, other variables like the temperature of the plants and their biomass can also change satellite VOD readings. In this study, we used computer simulations to examine how canopy temperature, relative water content, and plant biomass may affect these satellite readings. We found that canopy temperature has a surprisingly strong impact on VOD variations, especially at the diurnal timescale. Our results highlight the need to account for plant temperature influence in future VOD applications.
Key Points
A simulation approach was used to investigate how canopy temperature, live fuel moisture content, and dry biomass affect VOD variations
The impact of canopy temperature on VOD variations is more substantial than previously assumed, both at diurnal and seasonal timescales
To interpret VOD dynamics, algorithms should differentiate between temperature, live fuel moisture content, and biomass contributions</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2024GL110094</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2541-6382</orcidid><orcidid>https://orcid.org/0000-0003-1547-6995</orcidid><orcidid>https://orcid.org/0000-0001-6883-865X</orcidid><orcidid>https://orcid.org/0000-0002-2810-1722</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Biomass Canopies Canopy Depth Diurnal Ecohydrology Mathematical models Moisture content Optical analysis Optical thickness Plant biomass Plant cover Plants Plants (botany) Satellites Temperature Variation Vegetation Water content Water depth |
title | Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth |
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