9783843360456 - construction of an agricultural drought monitoring system using remote sensing techniques: finding, evaluating and refining new approaches de shahabfar, alireza (6 resultados)
- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 99,83
Envío por EUR 11,70Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Brand New. 192 pages. 8.66x5.91x0.44 inches. In Stock.
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 43,35
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Construction of an Agricultural Drought Monitoring System Using Remote Sensing Techniques | Finding, Evaluating and Refining New Approaches | Alireza Shahabfar | Taschenbuch | 192 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843360456 | Verantwortliche Person für die EU: preigu Gm…bH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,00
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -According to the statistics reported by The International Disaster Database, drought is the major natural disaster that has affected several countries from 1900 to early 2011. Therefore accurate and applicable drought monitoring met…hods are of importance for short and long term regional drought forecasting and disaster management in these countries, especially for agricultural and food production. This study aims at finding, evaluating and refining an appropriate agricultural drought estimation method for semi-arid regions, e.g. Iran using remote sensing techniques. Recently developed methods, the Perpendicular Drought Index (PDI) and Modified Perpendicular Drought Index (MPDI) that are derived from MODIS satellite images, were evaluated at selected agricultural sites in different agro-climatic zones in Iran to detect the severity of drought phenomena related to temporal variation and different climatic conditions. Because of the semi-arid and arid conditions found throughout Iran and considering winter wheat is a major agricultural crop in Iran, a combination of both the PDI (for partly covered vegetated areas) and MPDI (for fully covered vegetated areas) can be used as a simple and cost-efficient agricultural drought indices. This finding has potential significance for agricultural crop growing regions in other developing countries with similar climatic conditions. 192 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,05
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shahabfar AlirezaAlireza Shahabfar finished his Ph.D. in Engineering Sciences (Land and Water Management) at University of Natural Resources and Applied Life Sciences (BOKU) in Vienna (Austria). His res…earch experiences and interests.
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,00
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -According to the statistics reported by The International Disaster Database, drought is the major natural disaster that has affected several countries from 1900 to early 2011. Therefore accurate and applicable drought monitoring methods… are of importance for short and long term regional drought forecasting and disaster management in these countries, especially for agricultural and food production. This study aims at finding, evaluating and refining an appropriate agricultural drought estimation method for semi-arid regions, e.g. Iran using remote sensing techniques. Recently developed methods, the Perpendicular Drought Index (PDI) and Modified Perpendicular Drought Index (MPDI) that are derived from MODIS satellite images, were evaluated at selected agricultural sites in different agro-climatic zones in Iran to detect the severity of drought phenomena related to temporal variation and different climatic conditions. Because of the semi-arid and arid conditions found throughout Iran and considering winter wheat is a major agricultural crop in Iran, a combination of both the PDI (for partly covered vegetated areas) and MPDI (for fully covered vegetated areas) can be used as a simple and cost-efficient agricultural drought indices. This finding has potential significance for agricultural crop growing regions in other developing countries with similar climatic conditions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,00
Envío por EUR 61,52Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - According to the statistics reported by The International Disaster Database, drought is the major natural disaster that has affected several countries from 1900 to early 2011. Therefore accurate and applicable drought monitoring methods…are of importance for short and long term regional drought forecasting and disaster management in these countries, especially for agricultural and food production. This study aims at finding, evaluating and refining an appropriate agricultural drought estimation method for semi-arid regions, e.g. Iran using remote sensing techniques. Recently developed methods, the Perpendicular Drought Index (PDI) and Modified Perpendicular Drought Index (MPDI) that are derived from MODIS satellite images, were evaluated at selected agricultural sites in different agro-climatic zones in Iran to detect the severity of drought phenomena related to temporal variation and different climatic conditions. Because of the semi-arid and arid conditions found throughout Iran and considering winter wheat is a major agricultural crop in Iran, a combination of both the PDI (for partly covered vegetated areas) and MPDI (for fully covered vegetated areas) can be used as a simple and cost-efficient agricultural drought indices. This finding has potential significance for agricultural crop growing regions in other developing countries with similar climatic conditions.
