Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign
A field campaign was conducted October 30th to November 13th, 2015 with the intention of capturing diurnal soil freeze/thaw state at multiple scales using ground measurements and remote sensing measurements. On four of the five sampling days, we observed a significant difference between morning (fro...
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creator | Rowlandson, Tracy L. Berg, Aaron A. Roy, Alexander Kim, Edward Pardo Lara, Renato Powers, Jarrett Lewis, Kristin Houser, Paul McDonald, Kyle Toose, Peter Wu, Albert De Marco, Eugenia Derksen, Chris Entin, Jared Colliander, Andreas Xu, Xiaolan Mavrovic, Alex |
description | A field campaign was conducted October 30th to November 13th, 2015 with the intention of capturing diurnal soil freeze/thaw state at multiple scales using ground measurements and remote sensing measurements. On four of the five sampling days, we observed a significant difference between morning (frozen scenario) and afternoon (thawed scenario) ground-based measurements of the soil relative permittivity. These results were supported by an in situ soil moisture and temperature network (installed at the scale of a spaceborne passive microwave pixel) which indicated surface soil temperatures fell below 0 °C for the same four sampling dates. Ground-based radiometers appeared to be highly sensitive to F/T conditions of the very surface of the soil and indicated normalized polarization index (NPR) values that were below the defined freezing values during the morning sampling period on all sampling dates. The Scanning L-band Active Passive (SLAP) instrumentation, flown over the study region, showed very good agreement with the ground-based radiometers, with freezing states observed on all four days that the airborne observations covered the fields with ground-based radiometers. The Soil Moisture Active Passive (SMAP) satellite had morning overpasses on three of the sampling days, and indicated frozen conditions on two of those days. It was found that >60% of the in situ network had to indicate surface temperatures below 0 °C before SMAP indicated freezing conditions. This was also true of the SLAP radiometer measurements. The SMAP, SLAP and ground-based radiometer measurements all indicated freezing conditions when soil temperature sensors installed at 5 cm depth were not frozen.
•Field campaign for capturing diurnal soil freeze/thaw state•Ground-based radiometers were highly sensitive to near surface freezing conditions.•Airborne measurements showed agreement with ground measurements.•Airborne and SMAP indicated freezing when >60% of pixel was frozen.•All remote sensing measurements indicated frozen state when soil unfrozen at 5 cm. |
doi_str_mv | 10.1016/j.rse.2018.04.003 |
format | Article |
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•Field campaign for capturing diurnal soil freeze/thaw state•Ground-based radiometers were highly sensitive to near surface freezing conditions.•Airborne measurements showed agreement with ground measurements.•Airborne and SMAP indicated freezing when >60% of pixel was frozen.•All remote sensing measurements indicated frozen state when soil unfrozen at 5 cm.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2018.04.003</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Agricultural land ; agricultural soils ; Airborne observation ; Airborne particulates ; Balances (scales) ; Diurnal ; Freeze-thawing ; Freeze/thaw ; Freezing ; Frozen ground ; Ground-based observation ; Impedance probes ; Instrumentation ; Moisture ; Motivation ; Passive microwave ; Permafrost ; Permittivity ; Radiometers ; Remote sensing ; Sampling ; Satellites ; SLAP ; SMAP ; Soil conditions ; Soil moisture ; Soil surfaces ; Soil temperature ; soil water ; Soils ; Surface temperature ; Temperature sensors</subject><ispartof>Remote sensing of environment, 2018-06, Vol.211, p.59-70</ispartof><rights>2018</rights><rights>Copyright Elsevier BV Jun 15, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-fa53620b6f2b11cb8d561b269eb75b6409bc3ed5742a45bb34a457d5e63a2e273</citedby><cites>FETCH-LOGICAL-c358t-fa53620b6f2b11cb8d561b269eb75b6409bc3ed5742a45bb34a457d5e63a2e273</cites><orcidid>0000-0003-4093-8119 ; 0000-0001-8438-5662 ; 0000-0003-0591-7443 ; 0000-0001-6821-5479</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425718301482$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Rowlandson, Tracy L.</creatorcontrib><creatorcontrib>Berg, Aaron A.</creatorcontrib><creatorcontrib>Roy, Alexander</creatorcontrib><creatorcontrib>Kim, Edward</creatorcontrib><creatorcontrib>Pardo Lara, Renato</creatorcontrib><creatorcontrib>Powers, Jarrett</creatorcontrib><creatorcontrib>Lewis, Kristin</creatorcontrib><creatorcontrib>Houser, Paul</creatorcontrib><creatorcontrib>McDonald, Kyle</creatorcontrib><creatorcontrib>Toose, Peter</creatorcontrib><creatorcontrib>Wu, Albert</creatorcontrib><creatorcontrib>De Marco, Eugenia</creatorcontrib><creatorcontrib>Derksen, Chris</creatorcontrib><creatorcontrib>Entin, Jared</creatorcontrib><creatorcontrib>Colliander, Andreas</creatorcontrib><creatorcontrib>Xu, Xiaolan</creatorcontrib><creatorcontrib>Mavrovic, Alex</creatorcontrib><title>Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign</title><title>Remote sensing of environment</title><description>A field campaign was conducted October 30th to November 13th, 2015 with the intention of capturing diurnal soil freeze/thaw state at multiple scales using ground measurements and remote sensing measurements. On four of the five sampling days, we observed a significant difference between morning (frozen scenario) and afternoon (thawed scenario) ground-based measurements of the soil relative permittivity. These results were supported by an in situ soil moisture and temperature network (installed at the scale of a spaceborne passive microwave pixel) which indicated surface soil temperatures fell below 0 °C for the same four sampling dates. Ground-based radiometers appeared to be highly sensitive to F/T conditions of the very surface of the soil and indicated normalized polarization index (NPR) values that were below the defined freezing values during the morning sampling period on all sampling dates. The Scanning L-band Active Passive (SLAP) instrumentation, flown over the study region, showed very good agreement with the ground-based radiometers, with freezing states observed on all four days that the airborne observations covered the fields with ground-based radiometers. The Soil Moisture Active Passive (SMAP) satellite had morning overpasses on three of the sampling days, and indicated frozen conditions on two of those days. It was found that >60% of the in situ network had to indicate surface temperatures below 0 °C before SMAP indicated freezing conditions. This was also true of the SLAP radiometer measurements. The SMAP, SLAP and ground-based radiometer measurements all indicated freezing conditions when soil temperature sensors installed at 5 cm depth were not frozen.
•Field campaign for capturing diurnal soil freeze/thaw state•Ground-based radiometers were highly sensitive to near surface freezing conditions.•Airborne measurements showed agreement with ground measurements.•Airborne and SMAP indicated freezing when >60% of pixel was frozen.•All remote sensing measurements indicated frozen state when soil unfrozen at 5 cm.</description><subject>Agricultural land</subject><subject>agricultural soils</subject><subject>Airborne observation</subject><subject>Airborne particulates</subject><subject>Balances (scales)</subject><subject>Diurnal</subject><subject>Freeze-thawing</subject><subject>Freeze/thaw</subject><subject>Freezing</subject><subject>Frozen ground</subject><subject>Ground-based observation</subject><subject>Impedance probes</subject><subject>Instrumentation</subject><subject>Moisture</subject><subject>Motivation</subject><subject>Passive microwave</subject><subject>Permafrost</subject><subject>Permittivity</subject><subject>Radiometers</subject><subject>Remote sensing</subject><subject>Sampling</subject><subject>Satellites</subject><subject>SLAP</subject><subject>SMAP</subject><subject>Soil conditions</subject><subject>Soil moisture</subject><subject>Soil surfaces</subject><subject>Soil temperature</subject><subject>soil water</subject><subject>Soils</subject><subject>Surface temperature</subject><subject>Temperature sensors</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9UU1r3DAQFSGBbJL-gN4EufRiRyNL_khPYekXBHpJzkKSx14tXmsjyVvac394ld2cWujpMfPeG2bmEfIeWAkM6rttGSKWnEFbMlEyVp2RFbRNV7CGiXOyyh1RCC6bS3IV45YxkG0DK_J7rfdpCW4eqR6Ds8uUKz3R6N1Eh4D4C-_SRv-gMemENG2CX8YNDbjzuYw4x6N17umYmQzeRAwHnZyf4z19-HfQQU-uP_LU6t1eu3G-IReDniK-e8Nr8vz509P6a_H4_cu39cNjYSvZpmLQsqo5M_XADYA1bS9rMLzu0DTS1IJ1xlbYy0ZwLaQxlcjQ9BLrSnPkTXVNPpzm7oN_WTAmtXPR4jTpGf0SFQeoO5DQtll6-5d065cw5-0Uzy_toBOsyio4qWzwMQYc1D64nQ4_FTD1movaqpyLes1FMaHY0fPx5MF86cFhUNE6nC32LqBNqvfuP-4_UlyYFw</recordid><startdate>20180615</startdate><enddate>20180615</enddate><creator>Rowlandson, Tracy L.</creator><creator>Berg, Aaron A.</creator><creator>Roy, Alexander</creator><creator>Kim, Edward</creator><creator>Pardo Lara, Renato</creator><creator>Powers, Jarrett</creator><creator>Lewis, Kristin</creator><creator>Houser, 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campaign</title><author>Rowlandson, Tracy L. ; Berg, Aaron A. ; Roy, Alexander ; Kim, Edward ; Pardo Lara, Renato ; Powers, Jarrett ; Lewis, Kristin ; Houser, Paul ; McDonald, Kyle ; Toose, Peter ; Wu, Albert ; De Marco, Eugenia ; Derksen, Chris ; Entin, Jared ; Colliander, Andreas ; Xu, Xiaolan ; Mavrovic, Alex</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-fa53620b6f2b11cb8d561b269eb75b6409bc3ed5742a45bb34a457d5e63a2e273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agricultural land</topic><topic>agricultural soils</topic><topic>Airborne observation</topic><topic>Airborne particulates</topic><topic>Balances (scales)</topic><topic>Diurnal</topic><topic>Freeze-thawing</topic><topic>Freeze/thaw</topic><topic>Freezing</topic><topic>Frozen ground</topic><topic>Ground-based observation</topic><topic>Impedance 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environment</jtitle><date>2018-06-15</date><risdate>2018</risdate><volume>211</volume><spage>59</spage><epage>70</epage><pages>59-70</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>A field campaign was conducted October 30th to November 13th, 2015 with the intention of capturing diurnal soil freeze/thaw state at multiple scales using ground measurements and remote sensing measurements. On four of the five sampling days, we observed a significant difference between morning (frozen scenario) and afternoon (thawed scenario) ground-based measurements of the soil relative permittivity. These results were supported by an in situ soil moisture and temperature network (installed at the scale of a spaceborne passive microwave pixel) which indicated surface soil temperatures fell below 0 °C for the same four sampling dates. Ground-based radiometers appeared to be highly sensitive to F/T conditions of the very surface of the soil and indicated normalized polarization index (NPR) values that were below the defined freezing values during the morning sampling period on all sampling dates. The Scanning L-band Active Passive (SLAP) instrumentation, flown over the study region, showed very good agreement with the ground-based radiometers, with freezing states observed on all four days that the airborne observations covered the fields with ground-based radiometers. The Soil Moisture Active Passive (SMAP) satellite had morning overpasses on three of the sampling days, and indicated frozen conditions on two of those days. It was found that >60% of the in situ network had to indicate surface temperatures below 0 °C before SMAP indicated freezing conditions. This was also true of the SLAP radiometer measurements. The SMAP, SLAP and ground-based radiometer measurements all indicated freezing conditions when soil temperature sensors installed at 5 cm depth were not frozen.
•Field campaign for capturing diurnal soil freeze/thaw state•Ground-based radiometers were highly sensitive to near surface freezing conditions.•Airborne measurements showed agreement with ground measurements.•Airborne and SMAP indicated freezing when >60% of pixel was frozen.•All remote sensing measurements indicated frozen state when soil unfrozen at 5 cm.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2018.04.003</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4093-8119</orcidid><orcidid>https://orcid.org/0000-0001-8438-5662</orcidid><orcidid>https://orcid.org/0000-0003-0591-7443</orcidid><orcidid>https://orcid.org/0000-0001-6821-5479</orcidid></addata></record> |
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subjects | Agricultural land agricultural soils Airborne observation Airborne particulates Balances (scales) Diurnal Freeze-thawing Freeze/thaw Freezing Frozen ground Ground-based observation Impedance probes Instrumentation Moisture Motivation Passive microwave Permafrost Permittivity Radiometers Remote sensing Sampling Satellites SLAP SMAP Soil conditions Soil moisture Soil surfaces Soil temperature soil water Soils Surface temperature Temperature sensors |
title | Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign |
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