Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index
Early detection and quantification of plants’ response to disease and water shortage conditions are very important for the agricultural management. This study represents the first utilization of Normalized Difference Latent Heat Index (NDLI) as a dimensionless indicator to assess plant he...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10144290/ |
| _version_ | 1827927859941867520 |
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| author | Mai Son Le Yuei-An Liou Minh Tuan Pham |
| author_facet | Mai Son Le Yuei-An Liou Minh Tuan Pham |
| author_sort | Mai Son Le |
| collection | DOAJ |
| description | Early detection and quantification of plants’ response to disease and water shortage conditions are very important for the agricultural management. This study represents the first utilization of Normalized Difference Latent Heat Index (NDLI) as a dimensionless indicator to assess plant health. By integrating NDLI with thermal infrared and surface energy balance (SEB) components, we aim to enhance the analysis of crop conditions and water scarcity in rice-growing areas. The integration between NDLI and land surface temperature exhibits a strong correlation (r = −0.82) with crop evapotranspiration (ET) derived from the widely used residual Surface Energy Balance Algorithm for Land model. Besides, the performance of NDLI- and SEB-based ET method proved its ability to provide the precise information of paddy field conditions by showing the significant correlations with the crop canopy biophysical properties that are traditionally represented and inferred by the multispectral remote sensing indices. The correlation coefficients of NDLI- and SEB-derived ET with Normalized Difference Vegetation Index (NDVI), Normalize Difference Water Index (NDWI), and Optimization of the Soil Adjusted Vegetation Index (OSAVI) were 0.84, 0.55, and 0.84, respectively. Also, NDLI- and SEB-derived ET exhibits a high degree of consistency with the ET determined through the SEBAL method, with difference less than 10% of the observations over 98.1% of the paddy fields of concern. Interestingly, the abnormally low ET signatures over the confirmed disease-infected regions of paddy fields are obviously observed in the NDLI- and SEB-derived ET maps, but not in the SEBAL-derived ET map. The findings of this work suggest that NDLI can be considered as a valuable indicator to provide information of the water stress status and health of the crop plants for advanced food-supply management. |
| first_indexed | 2024-03-13T05:59:07Z |
| format | Article |
| id | doaj.art-7700f09c65694627ba64092fa275c285 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T05:59:07Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7700f09c65694627ba64092fa275c2852023-06-12T23:02:00ZengIEEEIEEE Access2169-35362023-01-0111559385594610.1109/ACCESS.2023.328303310144290Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat IndexMai Son Le0https://orcid.org/0000-0002-5360-7119Yuei-An Liou1https://orcid.org/0000-0002-8100-5529Minh Tuan Pham2https://orcid.org/0000-0003-0308-3406Vietnam Academy of Science and Technology, Space Technology Institute, Hanoi, Cau Giay, VietnamHydrology Remote Sensing Laboratory, Center for Space and Remote Sensing Research, National Central University (NCU), Taoyuan, Zhongli, TaiwanVietnam Academy of Science and Technology, Space Technology Institute, Hanoi, Cau Giay, VietnamEarly detection and quantification of plants’ response to disease and water shortage conditions are very important for the agricultural management. This study represents the first utilization of Normalized Difference Latent Heat Index (NDLI) as a dimensionless indicator to assess plant health. By integrating NDLI with thermal infrared and surface energy balance (SEB) components, we aim to enhance the analysis of crop conditions and water scarcity in rice-growing areas. The integration between NDLI and land surface temperature exhibits a strong correlation (r = −0.82) with crop evapotranspiration (ET) derived from the widely used residual Surface Energy Balance Algorithm for Land model. Besides, the performance of NDLI- and SEB-based ET method proved its ability to provide the precise information of paddy field conditions by showing the significant correlations with the crop canopy biophysical properties that are traditionally represented and inferred by the multispectral remote sensing indices. The correlation coefficients of NDLI- and SEB-derived ET with Normalized Difference Vegetation Index (NDVI), Normalize Difference Water Index (NDWI), and Optimization of the Soil Adjusted Vegetation Index (OSAVI) were 0.84, 0.55, and 0.84, respectively. Also, NDLI- and SEB-derived ET exhibits a high degree of consistency with the ET determined through the SEBAL method, with difference less than 10% of the observations over 98.1% of the paddy fields of concern. Interestingly, the abnormally low ET signatures over the confirmed disease-infected regions of paddy fields are obviously observed in the NDLI- and SEB-derived ET maps, but not in the SEBAL-derived ET map. The findings of this work suggest that NDLI can be considered as a valuable indicator to provide information of the water stress status and health of the crop plants for advanced food-supply management.https://ieeexplore.ieee.org/document/10144290/Normalized difference latent heat index (NDLI)land surface temperature (LST)evapotranspiration (ET)surface energy balance (SEB) |
| spellingShingle | Mai Son Le Yuei-An Liou Minh Tuan Pham Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index IEEE Access Normalized difference latent heat index (NDLI) land surface temperature (LST) evapotranspiration (ET) surface energy balance (SEB) |
| title | Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index |
| title_full | Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index |
| title_fullStr | Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index |
| title_full_unstemmed | Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index |
| title_short | Crop Response to Disease and Water Scarcity Quantified by Normalized Difference Latent Heat Index |
| title_sort | crop response to disease and water scarcity quantified by normalized difference latent heat index |
| topic | Normalized difference latent heat index (NDLI) land surface temperature (LST) evapotranspiration (ET) surface energy balance (SEB) |
| url | https://ieeexplore.ieee.org/document/10144290/ |
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