Estimation of soil moisture using multispectral and FTIR techniques
Soil moisture is a key capricious in hydrological process, the accessibility of moisture content in soil reins the mechanism amid the land surface and atmospheric progression. Precise soil moisture determination is influential in the weather forecast, drought monitoring, hydrological modeling, agric...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-12-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982315000563 |
| _version_ | 1811209329054842880 |
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| author | Syed Muhammad Zubair Younis Javed Iqbal |
| author_facet | Syed Muhammad Zubair Younis Javed Iqbal |
| author_sort | Syed Muhammad Zubair Younis |
| collection | DOAJ |
| description | Soil moisture is a key capricious in hydrological process, the accessibility of moisture content in soil reins the mechanism amid the land surface and atmospheric progression. Precise soil moisture determination is influential in the weather forecast, drought monitoring, hydrological modeling, agriculture management and policy making. The aims of the study were to estimate soil moisture through remotely sensed data (FTIR & optical) and establishment of the results with field measured soil moisture data. The ground measurements were carried out in 0–15 cm depth. Permutation of normalized difference vegetation index (NDVI) and land surface temperature (LST) were taken to derive temperature vegetation dryness index (TVDI) for assessment of surface soil moisture. Correlation and regression analysis was conceded to narrate the TVDI with in situ calculated soil moisture. The spatial pattern of TVDI shows that generally low moisture distribution over study area. A significant (p < 0.05) negative correlation of r = 0.79 was found between TVDI and in situ soil moisture. The TVDI was also found adequate in temporal variation of surface soil moisture. The triangle method (TVDI) confers consistent appraisal of moisture situation and consequently can be used to evaluate the wet conditions. Furthermore, the appraisal of soil moisture using the triangular method (TVDI) was possible at medium spatial resolutions because the relationship of soil moisture with LST and NDVI lends an eloquent number of representative pixels for developing a triangular scatter plot. |
| first_indexed | 2024-04-12T04:36:29Z |
| format | Article |
| id | doaj.art-2baebf3deb864fa3b2b652662b422fdd |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-04-12T04:36:29Z |
| publishDate | 2015-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-2baebf3deb864fa3b2b652662b422fdd2022-12-22T03:47:46ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232015-12-0118215116110.1016/j.ejrs.2015.10.001Estimation of soil moisture using multispectral and FTIR techniquesSyed Muhammad Zubair YounisJaved IqbalSoil moisture is a key capricious in hydrological process, the accessibility of moisture content in soil reins the mechanism amid the land surface and atmospheric progression. Precise soil moisture determination is influential in the weather forecast, drought monitoring, hydrological modeling, agriculture management and policy making. The aims of the study were to estimate soil moisture through remotely sensed data (FTIR & optical) and establishment of the results with field measured soil moisture data. The ground measurements were carried out in 0–15 cm depth. Permutation of normalized difference vegetation index (NDVI) and land surface temperature (LST) were taken to derive temperature vegetation dryness index (TVDI) for assessment of surface soil moisture. Correlation and regression analysis was conceded to narrate the TVDI with in situ calculated soil moisture. The spatial pattern of TVDI shows that generally low moisture distribution over study area. A significant (p < 0.05) negative correlation of r = 0.79 was found between TVDI and in situ soil moisture. The TVDI was also found adequate in temporal variation of surface soil moisture. The triangle method (TVDI) confers consistent appraisal of moisture situation and consequently can be used to evaluate the wet conditions. Furthermore, the appraisal of soil moisture using the triangular method (TVDI) was possible at medium spatial resolutions because the relationship of soil moisture with LST and NDVI lends an eloquent number of representative pixels for developing a triangular scatter plot.http://www.sciencedirect.com/science/article/pii/S1110982315000563Soil moistureRemote sensingFTIRSoil textureSoil spatial variabilityGeographic information systemNDVITVDILST |
| spellingShingle | Syed Muhammad Zubair Younis Javed Iqbal Estimation of soil moisture using multispectral and FTIR techniques Egyptian Journal of Remote Sensing and Space Sciences Soil moisture Remote sensing FTIR Soil texture Soil spatial variability Geographic information system NDVI TVDI LST |
| title | Estimation of soil moisture using multispectral and FTIR techniques |
| title_full | Estimation of soil moisture using multispectral and FTIR techniques |
| title_fullStr | Estimation of soil moisture using multispectral and FTIR techniques |
| title_full_unstemmed | Estimation of soil moisture using multispectral and FTIR techniques |
| title_short | Estimation of soil moisture using multispectral and FTIR techniques |
| title_sort | estimation of soil moisture using multispectral and ftir techniques |
| topic | Soil moisture Remote sensing FTIR Soil texture Soil spatial variability Geographic information system NDVI TVDI LST |
| url | http://www.sciencedirect.com/science/article/pii/S1110982315000563 |
| work_keys_str_mv | AT syedmuhammadzubairyounis estimationofsoilmoistureusingmultispectralandftirtechniques AT javediqbal estimationofsoilmoistureusingmultispectralandftirtechniques |