Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor
Agricultural drought is triggered by a depletion of moisture content in the soil, which hinders photosynthesis and thus increases carbon dioxide (CO<sub>2</sub>) concentrations in the atmosphere. The aim of this study is to analyze the relationship between soil moisture (SM) and vegetati...
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MDPI AG
2020-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/9/1359 |
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| author | Chanyang Sur Do-Hyuk Kang Kyoung Jae Lim Jae E. Yang Yongchul Shin Younghun Jung |
| author_facet | Chanyang Sur Do-Hyuk Kang Kyoung Jae Lim Jae E. Yang Yongchul Shin Younghun Jung |
| author_sort | Chanyang Sur |
| collection | DOAJ |
| description | Agricultural drought is triggered by a depletion of moisture content in the soil, which hinders photosynthesis and thus increases carbon dioxide (CO<sub>2</sub>) concentrations in the atmosphere. The aim of this study is to analyze the relationship between soil moisture (SM) and vegetation activity toward quantifying CO<sub>2</sub> concentration in the atmosphere. To this end, the MODerate resolution imaging spectroradiometer (MODIS), an optical multispectral sensor, was used to evaluate two regions in South Korea for validation. Vegetation activity was analyzed through MOD13A1 vegetation indices products, and MODIS gross primary productivity (GPP) product was used to calculate the CO<sub>2</sub> flux based on its relationship with respiration. In the case of SM, it was calculated through the method of applying apparent thermal inertia (ATI) in combination with land surface temperature and albedo. To validate the SM and CO<sub>2</sub> flux, flux tower data was used which are the observed measurement values for the extreme drought period of 2014 and 2015 in South Korea. These two variables were analyzed for temporal variation on flux tower data as daily time scale, and the relationship with vegetation index (VI) was synthesized and analyzed on a monthly scale. The highest correlation between SM and VI (correlation coefficient (r) = 0.82) was observed at a time lag of one month, and that between VI and CO<sub>2</sub> (r = 0.81) at half month. This regional study suggests a potential capability of MODIS-based SM, VI, and CO<sub>2</sub> flux, which can be applied to an assessment of the global view of the agricultural drought by using available satellite remote sensing products. |
| first_indexed | 2024-03-10T20:13:36Z |
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| id | doaj.art-4e5150be742b4e4984e1c39bc247b67d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:13:36Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4e5150be742b4e4984e1c39bc247b67d2023-11-19T22:43:31ZengMDPI AGRemote Sensing2072-42922020-04-01129135910.3390/rs12091359Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral SensorChanyang Sur0Do-Hyuk Kang1Kyoung Jae Lim2Jae E. Yang3Yongchul Shin4Younghun Jung5Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USAEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USADepartment of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, KoreaDepartment of Biological Environment, Kangwon National University, Chuncheon 24341, KoreaSchool of Agricultural Civil & Bio-Industrial Engineering, Kyungpook National University, Daegu 41566, KoreaDepartment of Construction and Disaster Prevention Engineering, Kyungpook National University, Sangju 37224, KoreaAgricultural drought is triggered by a depletion of moisture content in the soil, which hinders photosynthesis and thus increases carbon dioxide (CO<sub>2</sub>) concentrations in the atmosphere. The aim of this study is to analyze the relationship between soil moisture (SM) and vegetation activity toward quantifying CO<sub>2</sub> concentration in the atmosphere. To this end, the MODerate resolution imaging spectroradiometer (MODIS), an optical multispectral sensor, was used to evaluate two regions in South Korea for validation. Vegetation activity was analyzed through MOD13A1 vegetation indices products, and MODIS gross primary productivity (GPP) product was used to calculate the CO<sub>2</sub> flux based on its relationship with respiration. In the case of SM, it was calculated through the method of applying apparent thermal inertia (ATI) in combination with land surface temperature and albedo. To validate the SM and CO<sub>2</sub> flux, flux tower data was used which are the observed measurement values for the extreme drought period of 2014 and 2015 in South Korea. These two variables were analyzed for temporal variation on flux tower data as daily time scale, and the relationship with vegetation index (VI) was synthesized and analyzed on a monthly scale. The highest correlation between SM and VI (correlation coefficient (r) = 0.82) was observed at a time lag of one month, and that between VI and CO<sub>2</sub> (r = 0.81) at half month. This regional study suggests a potential capability of MODIS-based SM, VI, and CO<sub>2</sub> flux, which can be applied to an assessment of the global view of the agricultural drought by using available satellite remote sensing products.https://www.mdpi.com/2072-4292/12/9/1359agricultural droughtsoil moisturevegetation activitycarbon dioxide fluxremote sensingoptical multispectral sensor |
| spellingShingle | Chanyang Sur Do-Hyuk Kang Kyoung Jae Lim Jae E. Yang Yongchul Shin Younghun Jung Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor Remote Sensing agricultural drought soil moisture vegetation activity carbon dioxide flux remote sensing optical multispectral sensor |
| title | Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor |
| title_full | Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor |
| title_fullStr | Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor |
| title_full_unstemmed | Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor |
| title_short | Soil Moisture–Vegetation–Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor |
| title_sort | soil moisture vegetation carbon flux relationship under agricultural drought condition using optical multispectral sensor |
| topic | agricultural drought soil moisture vegetation activity carbon dioxide flux remote sensing optical multispectral sensor |
| url | https://www.mdpi.com/2072-4292/12/9/1359 |
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