Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations

Recent studies have shown that radar temporal coherence over tropical and boreal forests undergoes a diurnal cycle as a result of a combined effect of the wind-induced motion of scatterers and of the change and displacement of water within the plant in response to the transpiration process. Within t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Remote sensing of environment 2024-04, Vol.304, p.114059, Article 114059
Hauptverfasser: Ouaadi, Nadia, Jarlan, Lionel, Villard, Ludovic, Chakir, Adnane, Khabba, Saïd, Fanise, Pascal, Kasbani, Mohamed, Rafi, Zoubair, Le Dantec, Valerie, Ezzahar, Jamal, Frison, Pierre-Louis
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 114059
container_title Remote sensing of environment
container_volume 304
creator Ouaadi, Nadia
Jarlan, Lionel
Villard, Ludovic
Chakir, Adnane
Khabba, Saïd
Fanise, Pascal
Kasbani, Mohamed
Rafi, Zoubair
Le Dantec, Valerie
Ezzahar, Jamal
Frison, Pierre-Louis
description Recent studies have shown that radar temporal coherence over tropical and boreal forests undergoes a diurnal cycle as a result of a combined effect of the wind-induced motion of scatterers and of the change and displacement of water within the plant in response to the transpiration process. Within this context, the objective of this paper is to investigate, for the first time, the diurnal cycle of temporal coherence over wheat crops in relation to its development and physiological functioning throughout the agricultural season. A ground-based experiment was installed in Morocco, targeting a wheat field during the 2020 agricultural season. The radar system, essentially based on a Vector Network Analyzer (VNA) connected to 6C-band antennas installed at the top of a 20 m tower, has enabled quad-polarimetric acquisitions every 15 min. In parallel, evapotranspiration, soil moisture and meteorological variables are automatically measured in addition to above-ground biomass and vegetation water content collected during field campaigns. The results show that the temporal coherence with a 15 min baseline follows a marked diurnal cycle characterized by variable amplitude according to the phenological stage, with high values during the night, a significant morning drop to reach the lowest values in the late afternoon followed by an increase to recover the high nighttime values. The rate of the drop at dawn is shown to be related to the increase of evapotranspiration (r = 0.80 at VV polarization) when the wheat is covering the soil and the transpiration dominate the evapotranspiration process. This supports the assumption of a physiological effect related to water movement entailing a decorrelation. By contrast, the daily minimum of temporal coherence occurring in the late afternoon correlates well to the daily maximum of wind (r = 0.7). Interestingly enough, the amplitude of the diurnal cycle exhibit a marked seasonal evolution characterized by an increase of 85% from tillering to maturity in relation to the wheat development. At the early start of the season when the soil is almost bare, irrigation events impact slightly the diurnal cycle of temporal coherence. Likewise, it is shown that the presence of dew in the early morning has led to a decrease of the decorrelation rate. Temporal coherence dynamic has also been investigated for longer baselines up to 22 days. Results indicate a stronger decorrelation than what has been observed on tropical and boreal forests by
doi_str_mv 10.1016/j.rse.2024.114059
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04646366v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425724000701</els_id><sourcerecordid>3153616609</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-5a8a359eaee535c455a58af2260095f8dcfb7f12223123041e61fb6ad29143aa3</originalsourceid><addsrcrecordid>eNp9kU2L1EAQhhtRcFz9Ad76qIeMXf2VBE_L4LrCgJf13FTSFbeHTHqszsyy_96MEY-eqiie94XiEeI9qC0o8J8OWy601UrbLYBVrn0hNtDUbaVqZV-KjVLGVla7-rV4U8pBKXBNDRtRHuh4yoyjjNRnZhpxTnmSeZC7qsMpSsaILCPOKPOFWD49Es4yTRJloWOqkFOUyITyXNL0U5ZzV0VM47Oc8xPxUlIoytwV4suf7vJWvBpwLPTu77wRP-6-POzuq_33r992t_uqN66dK4cNLgshkTOut86ha3DQ2ivVuqGJ_dDVA2itDWijLJCHofMYdQvWIJob8XHtfcQxnDgdkZ9DxhTub_fhelPWW2-8v8DCfljZE-dfZypzOKbS0zjiRPlcggFnPHiv2gWFFe05l8I0_OsGFa4ywiEsMsJVRlhlLJnPa4aWfy-JOJQ-0dRTTEz9HGJO_0n_BrzakaI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153616609</pqid></control><display><type>article</type><title>Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations</title><source>Elsevier ScienceDirect Journals</source><creator>Ouaadi, Nadia ; Jarlan, Lionel ; Villard, Ludovic ; Chakir, Adnane ; Khabba, Saïd ; Fanise, Pascal ; Kasbani, Mohamed ; Rafi, Zoubair ; Le Dantec, Valerie ; Ezzahar, Jamal ; Frison, Pierre-Louis</creator><creatorcontrib>Ouaadi, Nadia ; Jarlan, Lionel ; Villard, Ludovic ; Chakir, Adnane ; Khabba, Saïd ; Fanise, Pascal ; Kasbani, Mohamed ; Rafi, Zoubair ; Le Dantec, Valerie ; Ezzahar, Jamal ; Frison, Pierre-Louis</creatorcontrib><description>Recent studies have shown that radar temporal coherence over tropical and boreal forests undergoes a diurnal cycle as a result of a combined effect of the wind-induced motion of scatterers and of the change and displacement of water within the plant in response to the transpiration process. Within this context, the objective of this paper is to investigate, for the first time, the diurnal cycle of temporal coherence over wheat crops in relation to its development and physiological functioning throughout the agricultural season. A ground-based experiment was installed in Morocco, targeting a wheat field during the 2020 agricultural season. The radar system, essentially based on a Vector Network Analyzer (VNA) connected to 6C-band antennas installed at the top of a 20 m tower, has enabled quad-polarimetric acquisitions every 15 min. In parallel, evapotranspiration, soil moisture and meteorological variables are automatically measured in addition to above-ground biomass and vegetation water content collected during field campaigns. The results show that the temporal coherence with a 15 min baseline follows a marked diurnal cycle characterized by variable amplitude according to the phenological stage, with high values during the night, a significant morning drop to reach the lowest values in the late afternoon followed by an increase to recover the high nighttime values. The rate of the drop at dawn is shown to be related to the increase of evapotranspiration (r = 0.80 at VV polarization) when the wheat is covering the soil and the transpiration dominate the evapotranspiration process. This supports the assumption of a physiological effect related to water movement entailing a decorrelation. By contrast, the daily minimum of temporal coherence occurring in the late afternoon correlates well to the daily maximum of wind (r = 0.7). Interestingly enough, the amplitude of the diurnal cycle exhibit a marked seasonal evolution characterized by an increase of 85% from tillering to maturity in relation to the wheat development. At the early start of the season when the soil is almost bare, irrigation events impact slightly the diurnal cycle of temporal coherence. Likewise, it is shown that the presence of dew in the early morning has led to a decrease of the decorrelation rate. Temporal coherence dynamic has also been investigated for longer baselines up to 22 days. Results indicate a stronger decorrelation than what has been observed on tropical and boreal forests by previous studies with values below 0.4 for baselines above 2 days. Taken together, the results of this work demonstrate the unique potential of sub-daily C-band data for monitoring crop water status by future geostationary radar missions such as Hydroterra. •Diurnal cycles of 15-min C-band temporal coherence over wheat crops are analyzed.•The morning drop of the temporal coherence is related to the transpiration process.•Temporal coherence exhibits a marked seasonal dynamic according to phenological stages.•Irrigation events and morning dew have an impact on sub-daily temporal coherence.•Early morning hours showed potential for monitoring the vegetation physiological functioning.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2024.114059</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>aboveground biomass ; C-band ; Dew ; Diurnal cycle ; environment ; Environmental Sciences ; Evapotranspiration ; Irrigation ; Morocco ; Phenological stages ; phenology ; radar ; Seasonal cycle ; Semi-arid region ; semiarid zones ; soil water ; Temporal coherence ; tillering ; transpiration ; vegetation ; water content ; Wheat ; wind</subject><ispartof>Remote sensing of environment, 2024-04, Vol.304, p.114059, Article 114059</ispartof><rights>2024 The Author(s)</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c359t-5a8a359eaee535c455a58af2260095f8dcfb7f12223123041e61fb6ad29143aa3</cites><orcidid>0000-0002-6542-5793</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rse.2024.114059$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://ut3-toulouseinp.hal.science/hal-04646366$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Ouaadi, Nadia</creatorcontrib><creatorcontrib>Jarlan, Lionel</creatorcontrib><creatorcontrib>Villard, Ludovic</creatorcontrib><creatorcontrib>Chakir, Adnane</creatorcontrib><creatorcontrib>Khabba, Saïd</creatorcontrib><creatorcontrib>Fanise, Pascal</creatorcontrib><creatorcontrib>Kasbani, Mohamed</creatorcontrib><creatorcontrib>Rafi, Zoubair</creatorcontrib><creatorcontrib>Le Dantec, Valerie</creatorcontrib><creatorcontrib>Ezzahar, Jamal</creatorcontrib><creatorcontrib>Frison, Pierre-Louis</creatorcontrib><title>Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations</title><title>Remote sensing of environment</title><description>Recent studies have shown that radar temporal coherence over tropical and boreal forests undergoes a diurnal cycle as a result of a combined effect of the wind-induced motion of scatterers and of the change and displacement of water within the plant in response to the transpiration process. Within this context, the objective of this paper is to investigate, for the first time, the diurnal cycle of temporal coherence over wheat crops in relation to its development and physiological functioning throughout the agricultural season. A ground-based experiment was installed in Morocco, targeting a wheat field during the 2020 agricultural season. The radar system, essentially based on a Vector Network Analyzer (VNA) connected to 6C-band antennas installed at the top of a 20 m tower, has enabled quad-polarimetric acquisitions every 15 min. In parallel, evapotranspiration, soil moisture and meteorological variables are automatically measured in addition to above-ground biomass and vegetation water content collected during field campaigns. The results show that the temporal coherence with a 15 min baseline follows a marked diurnal cycle characterized by variable amplitude according to the phenological stage, with high values during the night, a significant morning drop to reach the lowest values in the late afternoon followed by an increase to recover the high nighttime values. The rate of the drop at dawn is shown to be related to the increase of evapotranspiration (r = 0.80 at VV polarization) when the wheat is covering the soil and the transpiration dominate the evapotranspiration process. This supports the assumption of a physiological effect related to water movement entailing a decorrelation. By contrast, the daily minimum of temporal coherence occurring in the late afternoon correlates well to the daily maximum of wind (r = 0.7). Interestingly enough, the amplitude of the diurnal cycle exhibit a marked seasonal evolution characterized by an increase of 85% from tillering to maturity in relation to the wheat development. At the early start of the season when the soil is almost bare, irrigation events impact slightly the diurnal cycle of temporal coherence. Likewise, it is shown that the presence of dew in the early morning has led to a decrease of the decorrelation rate. Temporal coherence dynamic has also been investigated for longer baselines up to 22 days. Results indicate a stronger decorrelation than what has been observed on tropical and boreal forests by previous studies with values below 0.4 for baselines above 2 days. Taken together, the results of this work demonstrate the unique potential of sub-daily C-band data for monitoring crop water status by future geostationary radar missions such as Hydroterra. •Diurnal cycles of 15-min C-band temporal coherence over wheat crops are analyzed.•The morning drop of the temporal coherence is related to the transpiration process.•Temporal coherence exhibits a marked seasonal dynamic according to phenological stages.•Irrigation events and morning dew have an impact on sub-daily temporal coherence.•Early morning hours showed potential for monitoring the vegetation physiological functioning.</description><subject>aboveground biomass</subject><subject>C-band</subject><subject>Dew</subject><subject>Diurnal cycle</subject><subject>environment</subject><subject>Environmental Sciences</subject><subject>Evapotranspiration</subject><subject>Irrigation</subject><subject>Morocco</subject><subject>Phenological stages</subject><subject>phenology</subject><subject>radar</subject><subject>Seasonal cycle</subject><subject>Semi-arid region</subject><subject>semiarid zones</subject><subject>soil water</subject><subject>Temporal coherence</subject><subject>tillering</subject><subject>transpiration</subject><subject>vegetation</subject><subject>water content</subject><subject>Wheat</subject><subject>wind</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kU2L1EAQhhtRcFz9Ad76qIeMXf2VBE_L4LrCgJf13FTSFbeHTHqszsyy_96MEY-eqiie94XiEeI9qC0o8J8OWy601UrbLYBVrn0hNtDUbaVqZV-KjVLGVla7-rV4U8pBKXBNDRtRHuh4yoyjjNRnZhpxTnmSeZC7qsMpSsaILCPOKPOFWD49Es4yTRJloWOqkFOUyITyXNL0U5ZzV0VM47Oc8xPxUlIoytwV4suf7vJWvBpwLPTu77wRP-6-POzuq_33r992t_uqN66dK4cNLgshkTOut86ha3DQ2ivVuqGJ_dDVA2itDWijLJCHofMYdQvWIJob8XHtfcQxnDgdkZ9DxhTub_fhelPWW2-8v8DCfljZE-dfZypzOKbS0zjiRPlcggFnPHiv2gWFFe05l8I0_OsGFa4ywiEsMsJVRlhlLJnPa4aWfy-JOJQ-0dRTTEz9HGJO_0n_BrzakaI</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Ouaadi, Nadia</creator><creator>Jarlan, Lionel</creator><creator>Villard, Ludovic</creator><creator>Chakir, Adnane</creator><creator>Khabba, Saïd</creator><creator>Fanise, Pascal</creator><creator>Kasbani, Mohamed</creator><creator>Rafi, Zoubair</creator><creator>Le Dantec, Valerie</creator><creator>Ezzahar, Jamal</creator><creator>Frison, Pierre-Louis</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-6542-5793</orcidid></search><sort><creationdate>20240401</creationdate><title>Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations</title><author>Ouaadi, Nadia ; Jarlan, Lionel ; Villard, Ludovic ; Chakir, Adnane ; Khabba, Saïd ; Fanise, Pascal ; Kasbani, Mohamed ; Rafi, Zoubair ; Le Dantec, Valerie ; Ezzahar, Jamal ; Frison, Pierre-Louis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-5a8a359eaee535c455a58af2260095f8dcfb7f12223123041e61fb6ad29143aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>aboveground biomass</topic><topic>C-band</topic><topic>Dew</topic><topic>Diurnal cycle</topic><topic>environment</topic><topic>Environmental Sciences</topic><topic>Evapotranspiration</topic><topic>Irrigation</topic><topic>Morocco</topic><topic>Phenological stages</topic><topic>phenology</topic><topic>radar</topic><topic>Seasonal cycle</topic><topic>Semi-arid region</topic><topic>semiarid zones</topic><topic>soil water</topic><topic>Temporal coherence</topic><topic>tillering</topic><topic>transpiration</topic><topic>vegetation</topic><topic>water content</topic><topic>Wheat</topic><topic>wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ouaadi, Nadia</creatorcontrib><creatorcontrib>Jarlan, Lionel</creatorcontrib><creatorcontrib>Villard, Ludovic</creatorcontrib><creatorcontrib>Chakir, Adnane</creatorcontrib><creatorcontrib>Khabba, Saïd</creatorcontrib><creatorcontrib>Fanise, Pascal</creatorcontrib><creatorcontrib>Kasbani, Mohamed</creatorcontrib><creatorcontrib>Rafi, Zoubair</creatorcontrib><creatorcontrib>Le Dantec, Valerie</creatorcontrib><creatorcontrib>Ezzahar, Jamal</creatorcontrib><creatorcontrib>Frison, Pierre-Louis</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ouaadi, Nadia</au><au>Jarlan, Lionel</au><au>Villard, Ludovic</au><au>Chakir, Adnane</au><au>Khabba, Saïd</au><au>Fanise, Pascal</au><au>Kasbani, Mohamed</au><au>Rafi, Zoubair</au><au>Le Dantec, Valerie</au><au>Ezzahar, Jamal</au><au>Frison, Pierre-Louis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations</atitle><jtitle>Remote sensing of environment</jtitle><date>2024-04-01</date><risdate>2024</risdate><volume>304</volume><spage>114059</spage><pages>114059-</pages><artnum>114059</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Recent studies have shown that radar temporal coherence over tropical and boreal forests undergoes a diurnal cycle as a result of a combined effect of the wind-induced motion of scatterers and of the change and displacement of water within the plant in response to the transpiration process. Within this context, the objective of this paper is to investigate, for the first time, the diurnal cycle of temporal coherence over wheat crops in relation to its development and physiological functioning throughout the agricultural season. A ground-based experiment was installed in Morocco, targeting a wheat field during the 2020 agricultural season. The radar system, essentially based on a Vector Network Analyzer (VNA) connected to 6C-band antennas installed at the top of a 20 m tower, has enabled quad-polarimetric acquisitions every 15 min. In parallel, evapotranspiration, soil moisture and meteorological variables are automatically measured in addition to above-ground biomass and vegetation water content collected during field campaigns. The results show that the temporal coherence with a 15 min baseline follows a marked diurnal cycle characterized by variable amplitude according to the phenological stage, with high values during the night, a significant morning drop to reach the lowest values in the late afternoon followed by an increase to recover the high nighttime values. The rate of the drop at dawn is shown to be related to the increase of evapotranspiration (r = 0.80 at VV polarization) when the wheat is covering the soil and the transpiration dominate the evapotranspiration process. This supports the assumption of a physiological effect related to water movement entailing a decorrelation. By contrast, the daily minimum of temporal coherence occurring in the late afternoon correlates well to the daily maximum of wind (r = 0.7). Interestingly enough, the amplitude of the diurnal cycle exhibit a marked seasonal evolution characterized by an increase of 85% from tillering to maturity in relation to the wheat development. At the early start of the season when the soil is almost bare, irrigation events impact slightly the diurnal cycle of temporal coherence. Likewise, it is shown that the presence of dew in the early morning has led to a decrease of the decorrelation rate. Temporal coherence dynamic has also been investigated for longer baselines up to 22 days. Results indicate a stronger decorrelation than what has been observed on tropical and boreal forests by previous studies with values below 0.4 for baselines above 2 days. Taken together, the results of this work demonstrate the unique potential of sub-daily C-band data for monitoring crop water status by future geostationary radar missions such as Hydroterra. •Diurnal cycles of 15-min C-band temporal coherence over wheat crops are analyzed.•The morning drop of the temporal coherence is related to the transpiration process.•Temporal coherence exhibits a marked seasonal dynamic according to phenological stages.•Irrigation events and morning dew have an impact on sub-daily temporal coherence.•Early morning hours showed potential for monitoring the vegetation physiological functioning.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2024.114059</doi><orcidid>https://orcid.org/0000-0002-6542-5793</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 2024-04, Vol.304, p.114059, Article 114059
issn 0034-4257
1879-0704
language eng
recordid cdi_hal_primary_oai_HAL_hal_04646366v1
source Elsevier ScienceDirect Journals
subjects aboveground biomass
C-band
Dew
Diurnal cycle
environment
Environmental Sciences
Evapotranspiration
Irrigation
Morocco
Phenological stages
phenology
radar
Seasonal cycle
Semi-arid region
semiarid zones
soil water
Temporal coherence
tillering
transpiration
vegetation
water content
Wheat
wind
title Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T23%3A39%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Temporal%20decorrelation%20of%20C-band%20radar%20data%20over%20wheat%20in%20a%20semi-arid%20area%20using%20sub-daily%20tower-based%20observations&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Ouaadi,%20Nadia&rft.date=2024-04-01&rft.volume=304&rft.spage=114059&rft.pages=114059-&rft.artnum=114059&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2024.114059&rft_dat=%3Cproquest_hal_p%3E3153616609%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3153616609&rft_id=info:pmid/&rft_els_id=S0034425724000701&rfr_iscdi=true