ICESat-2 derived canopy covers with radiometric and reflectance ratio corrections
The canopy cover is a fundamental parameter in forest inventory. The launch of Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) that carries the Advanced Topographic Laser Altimeter System (ATLAS) photon-counting lidar provides an astonishing opportunity to assess canopy covers at a large scale...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2024-01, Vol.62, p.1-1 |
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| creator | Zhang, Qianyin Zhou, Hui Ma, Yue Wang, Hong Li, Song Chen, Yuwei |
| description | The canopy cover is a fundamental parameter in forest inventory. The launch of Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) that carries the Advanced Topographic Laser Altimeter System (ATLAS) photon-counting lidar provides an astonishing opportunity to assess canopy covers at a large scale. Currently, the canopy covers were calculated as the proportion of vegetation photons to total signal photons using ICESat-2/ATLAS data without considering the radiometric distortion caused by photon-counting detectors and the surface reflectance of vegetation and ground. The overall goal of this study is to investigate a method to derive more accurate canopy covers considering the radiometric correction and surface reflectance correction with ICESat-2 photon data. With focusing on two study areas, Slaughter (SLAU) and Lenoir Landing (LENO) in USA, the specific purposes are to: (1) propose a radiometric correction model based on the lidar equation and response mechanism of photon-counting detectors to recover accurate vegetation and ground photons; (2) estimate the reflectance ratio between vegetation and ground according to the vegetation radiative transfer model and the density of spatial cluster method; (3) derive original and compensated canopy covers with ICESat-2 classified photons; (4) evaluate the accuracy of derived canopy covers relative to local airborne reference canopy covers; and (5) explore the effects of undergrowth vegetation and land cover types on the canopy covers. The coefficients of correlation (R) and root mean square errors (RMSE) of the compensated canopy covers are 0.86, 0.15 at SLAU and 0.59, 0.16 at LENO, compared with those for original canopy covers with 0.71, 0.18, and 0.45, 0.21, respectively. As the undergrowth vegetation and diverse land cover types have an impact on the retrieval accuracy of canopy covers, we can employ the photons of different species to obtain their specific the reflectance ratios to achieve a higher precision. |
| doi_str_mv | 10.1109/TGRS.2024.3349559 |
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The launch of Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) that carries the Advanced Topographic Laser Altimeter System (ATLAS) photon-counting lidar provides an astonishing opportunity to assess canopy covers at a large scale. Currently, the canopy covers were calculated as the proportion of vegetation photons to total signal photons using ICESat-2/ATLAS data without considering the radiometric distortion caused by photon-counting detectors and the surface reflectance of vegetation and ground. The overall goal of this study is to investigate a method to derive more accurate canopy covers considering the radiometric correction and surface reflectance correction with ICESat-2 photon data. With focusing on two study areas, Slaughter (SLAU) and Lenoir Landing (LENO) in USA, the specific purposes are to: (1) propose a radiometric correction model based on the lidar equation and response mechanism of photon-counting detectors to recover accurate vegetation and ground photons; (2) estimate the reflectance ratio between vegetation and ground according to the vegetation radiative transfer model and the density of spatial cluster method; (3) derive original and compensated canopy covers with ICESat-2 classified photons; (4) evaluate the accuracy of derived canopy covers relative to local airborne reference canopy covers; and (5) explore the effects of undergrowth vegetation and land cover types on the canopy covers. The coefficients of correlation (R) and root mean square errors (RMSE) of the compensated canopy covers are 0.86, 0.15 at SLAU and 0.59, 0.16 at LENO, compared with those for original canopy covers with 0.71, 0.18, and 0.45, 0.21, respectively. As the undergrowth vegetation and diverse land cover types have an impact on the retrieval accuracy of canopy covers, we can employ the photons of different species to obtain their specific the reflectance ratios to achieve a higher precision.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2024.3349559</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accuracy ; Altimeters ; ATL08 ; Canopies ; Canopy ; canopy cover ; Coefficients ; Detectors ; Forestry ; ICESat-2 ; Land cover ; Laser altimeters ; Laser radar ; Lidar ; Photon-counting lidar ; Photonics ; Photons ; Plant cover ; Radiative transfer ; Radiometric correction ; Radiometry ; Reflectance ; reflectance ratio ; Reflectivity ; Undergrowth ; Vegetation ; Vegetation mapping</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c246t-3272e2effd90c40f81a871dd9f8c30e71fcc7a86db4de7a66daa62c894ac09933</cites><orcidid>0000-0001-9690-3025 ; 0000-0003-1241-8650 ; 0000-0003-0148-3609 ; 0009-0003-9380-0284</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10380625$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10380625$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Qianyin</creatorcontrib><creatorcontrib>Zhou, Hui</creatorcontrib><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Wang, Hong</creatorcontrib><creatorcontrib>Li, Song</creatorcontrib><creatorcontrib>Chen, Yuwei</creatorcontrib><title>ICESat-2 derived canopy covers with radiometric and reflectance ratio corrections</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>The canopy cover is a fundamental parameter in forest inventory. The launch of Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) that carries the Advanced Topographic Laser Altimeter System (ATLAS) photon-counting lidar provides an astonishing opportunity to assess canopy covers at a large scale. Currently, the canopy covers were calculated as the proportion of vegetation photons to total signal photons using ICESat-2/ATLAS data without considering the radiometric distortion caused by photon-counting detectors and the surface reflectance of vegetation and ground. The overall goal of this study is to investigate a method to derive more accurate canopy covers considering the radiometric correction and surface reflectance correction with ICESat-2 photon data. With focusing on two study areas, Slaughter (SLAU) and Lenoir Landing (LENO) in USA, the specific purposes are to: (1) propose a radiometric correction model based on the lidar equation and response mechanism of photon-counting detectors to recover accurate vegetation and ground photons; (2) estimate the reflectance ratio between vegetation and ground according to the vegetation radiative transfer model and the density of spatial cluster method; (3) derive original and compensated canopy covers with ICESat-2 classified photons; (4) evaluate the accuracy of derived canopy covers relative to local airborne reference canopy covers; and (5) explore the effects of undergrowth vegetation and land cover types on the canopy covers. The coefficients of correlation (R) and root mean square errors (RMSE) of the compensated canopy covers are 0.86, 0.15 at SLAU and 0.59, 0.16 at LENO, compared with those for original canopy covers with 0.71, 0.18, and 0.45, 0.21, respectively. As the undergrowth vegetation and diverse land cover types have an impact on the retrieval accuracy of canopy covers, we can employ the photons of different species to obtain their specific the reflectance ratios to achieve a higher precision.</description><subject>Accuracy</subject><subject>Altimeters</subject><subject>ATL08</subject><subject>Canopies</subject><subject>Canopy</subject><subject>canopy cover</subject><subject>Coefficients</subject><subject>Detectors</subject><subject>Forestry</subject><subject>ICESat-2</subject><subject>Land cover</subject><subject>Laser altimeters</subject><subject>Laser radar</subject><subject>Lidar</subject><subject>Photon-counting lidar</subject><subject>Photonics</subject><subject>Photons</subject><subject>Plant cover</subject><subject>Radiative transfer</subject><subject>Radiometric correction</subject><subject>Radiometry</subject><subject>Reflectance</subject><subject>reflectance ratio</subject><subject>Reflectivity</subject><subject>Undergrowth</subject><subject>Vegetation</subject><subject>Vegetation mapping</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkEtLAzEQgIMoWKs_QPCw4HnXvDabHKXUWiiItp5DTCaY0m5qsq3037tLe_AwDMx88-BD6J7gihCsnlazj2VFMeUVY1zVtbpAI1LXssSC80s0wkSJkkpFr9FNzmuMCa9JM0Lv88l0abqSFg5SOIArrGnj7ljYeICUi9_QfRfJuBC30KVgC9O6IoHfgO1Ma6HvdSH2dEp9JcQ236IrbzYZ7s55jD5fpqvJa7l4m80nz4vSUi66ktGGAgXvncKWYy-JkQ1xTnlpGYaGeGsbI4X74g4aI4QzRlArFTcWK8XYGD2e9u5S_NlD7vQ67lPbn9RUEcGbPgaKnCibYs7943qXwtakoyZYD-b0YE4P5vTZXD_zcJoJAPCPZxILWrM_jdlq_A</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Zhang, Qianyin</creator><creator>Zhou, Hui</creator><creator>Ma, Yue</creator><creator>Wang, Hong</creator><creator>Li, Song</creator><creator>Chen, Yuwei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The launch of Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) that carries the Advanced Topographic Laser Altimeter System (ATLAS) photon-counting lidar provides an astonishing opportunity to assess canopy covers at a large scale. Currently, the canopy covers were calculated as the proportion of vegetation photons to total signal photons using ICESat-2/ATLAS data without considering the radiometric distortion caused by photon-counting detectors and the surface reflectance of vegetation and ground. The overall goal of this study is to investigate a method to derive more accurate canopy covers considering the radiometric correction and surface reflectance correction with ICESat-2 photon data. With focusing on two study areas, Slaughter (SLAU) and Lenoir Landing (LENO) in USA, the specific purposes are to: (1) propose a radiometric correction model based on the lidar equation and response mechanism of photon-counting detectors to recover accurate vegetation and ground photons; (2) estimate the reflectance ratio between vegetation and ground according to the vegetation radiative transfer model and the density of spatial cluster method; (3) derive original and compensated canopy covers with ICESat-2 classified photons; (4) evaluate the accuracy of derived canopy covers relative to local airborne reference canopy covers; and (5) explore the effects of undergrowth vegetation and land cover types on the canopy covers. The coefficients of correlation (R) and root mean square errors (RMSE) of the compensated canopy covers are 0.86, 0.15 at SLAU and 0.59, 0.16 at LENO, compared with those for original canopy covers with 0.71, 0.18, and 0.45, 0.21, respectively. As the undergrowth vegetation and diverse land cover types have an impact on the retrieval accuracy of canopy covers, we can employ the photons of different species to obtain their specific the reflectance ratios to achieve a higher precision.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2024.3349559</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-9690-3025</orcidid><orcidid>https://orcid.org/0000-0003-1241-8650</orcidid><orcidid>https://orcid.org/0000-0003-0148-3609</orcidid><orcidid>https://orcid.org/0009-0003-9380-0284</orcidid></addata></record> |
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| subjects | Accuracy Altimeters ATL08 Canopies Canopy canopy cover Coefficients Detectors Forestry ICESat-2 Land cover Laser altimeters Laser radar Lidar Photon-counting lidar Photonics Photons Plant cover Radiative transfer Radiometric correction Radiometry Reflectance reflectance ratio Reflectivity Undergrowth Vegetation Vegetation mapping |
| title | ICESat-2 derived canopy covers with radiometric and reflectance ratio corrections |
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