A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method
Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this st...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mokhtari, Mohammad Hossein [verfasserIn] |
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| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media Dordrecht 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Springer Netherlands, 1988, 65(2012), 3 vom: 09. Okt., Seite 1249-1274 |
|---|---|
| Übergeordnetes Werk: |
volume:65 ; year:2012 ; number:3 ; day:09 ; month:10 ; pages:1249-1274 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11069-012-0408-x |
|---|
| Katalog-ID: |
OLC2053656964 |
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| 245 | 1 | 0 | |a A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method |
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| 520 | |a Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. | ||
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10.1007/s11069-012-0408-x doi (DE-627)OLC2053656964 (DE-He213)s11069-012-0408-x-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Mokhtari, Mohammad Hossein verfasserin aut A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2012 Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. Biophysical water stress index Drought Evapotranspiration Factor analysis Principal component analysis Remote sensing Adnan, Robiah aut Busu, Ibrahim aut Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 3 vom: 09. Okt., Seite 1249-1274 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:3 day:09 month:10 pages:1249-1274 https://doi.org/10.1007/s11069-012-0408-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 3 09 10 1249-1274 |
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10.1007/s11069-012-0408-x doi (DE-627)OLC2053656964 (DE-He213)s11069-012-0408-x-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Mokhtari, Mohammad Hossein verfasserin aut A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2012 Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. Biophysical water stress index Drought Evapotranspiration Factor analysis Principal component analysis Remote sensing Adnan, Robiah aut Busu, Ibrahim aut Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 3 vom: 09. Okt., Seite 1249-1274 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:3 day:09 month:10 pages:1249-1274 https://doi.org/10.1007/s11069-012-0408-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 3 09 10 1249-1274 |
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10.1007/s11069-012-0408-x doi (DE-627)OLC2053656964 (DE-He213)s11069-012-0408-x-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Mokhtari, Mohammad Hossein verfasserin aut A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2012 Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. Biophysical water stress index Drought Evapotranspiration Factor analysis Principal component analysis Remote sensing Adnan, Robiah aut Busu, Ibrahim aut Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 3 vom: 09. Okt., Seite 1249-1274 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:3 day:09 month:10 pages:1249-1274 https://doi.org/10.1007/s11069-012-0408-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 3 09 10 1249-1274 |
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10.1007/s11069-012-0408-x doi (DE-627)OLC2053656964 (DE-He213)s11069-012-0408-x-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Mokhtari, Mohammad Hossein verfasserin aut A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2012 Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. Biophysical water stress index Drought Evapotranspiration Factor analysis Principal component analysis Remote sensing Adnan, Robiah aut Busu, Ibrahim aut Enthalten in Natural hazards Springer Netherlands, 1988 65(2012), 3 vom: 09. Okt., Seite 1249-1274 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:65 year:2012 number:3 day:09 month:10 pages:1249-1274 https://doi.org/10.1007/s11069-012-0408-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 65 2012 3 09 10 1249-1274 |
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550 VZ 14 ssgn A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method Biophysical water stress index Drought Evapotranspiration Factor analysis Principal component analysis Remote sensing |
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A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method |
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A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method |
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Mokhtari, Mohammad Hossein |
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Mokhtari, Mohammad Hossein Adnan, Robiah Busu, Ibrahim |
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a new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method |
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A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method |
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Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. © Springer Science+Business Media Dordrecht 2012 |
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Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. © Springer Science+Business Media Dordrecht 2012 |
| abstract_unstemmed |
Abstract The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (Ts), surface albedo (α), leaf area index (LAI), soil heat flux (Go), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (Rn). Ts and Go were found as the most effective parameters by this method. However, Ts, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. © Springer Science+Business Media Dordrecht 2012 |
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