Remote Sensing and GIS Application for Drought Severity Assessment: Using Remote Sensing and GIS to Estimate Drought Severity

 
9783639303261: Remote Sensing and GIS Application for Drought Severity Assessment: Using Remote Sensing and GIS to Estimate Drought Severity
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Drought is the major climatic threat that affects agriculture of arid areas. Detection and evaluating the impact of drought with traditional methods has been laborious and time consuming. Recently methods for drought monitoring are improved. This research assessed the drought conditions at temporal basis using the meteorological and agricultural parameters integrated with geo spatial technologies. Satellite based anomalies were calculated for NDVI, rainfall and crop yield, reference evapotranspiration (ETo) evaluate comparatively the per cent change in different years. The Standardized precipitation Index was also used as an indicator. The Spatial Auto correlation regression analysis was preformed between SPI, NDVI, rainfall anomalies, total seasonal rainfall, crop yield and ET o to observe the temporal pattern of drought. NDVI anomalies and crop yield anomalies have correlated to assess the agricultural drought, NDVI and rainfall anomalies were correlated to determine the meteorological drought. Relationship between crop yields, NDVI, SPI, rainfall anomalies was used to determine the drought condition related with rainfall deficiency.

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About the Author:

Engr. Faheem Iqbal graduated from the UAF, Faisalabad, Pakistan. Then he received his MS in RS and GIS from the NUST,Pakistan and Participated as YSSP, at IIASA, Austria. His main fields of Research are Agricultural and Environmental Engineering; GIS RS based modeling, Climatic variability and their impact on crop production.

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Book Description Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Using Remote Sensing and GIS to Estimate Drought Severity | Drought is the major climatic threat that affects agriculture of arid areas. Detection and evaluating the impact of drought with traditional methods has been laborious and time consuming. Recently methods for drought monitoring are improved. This research assessed the drought conditions at temporal basis using the meteorological and agricultural parameters integrated with geo spatial technologies. Satellite based anomalies were calculated for NDVI, rainfall and crop yield, reference evapotranspiration (ETo) evaluate comparatively the per cent change in different years. The Standardized precipitation Index was also used as an indicator. The Spatial Auto correlation regression analysis was preformed between SPI, NDVI, rainfall anomalies, total seasonal rainfall, crop yield and ET o to observe the temporal pattern of drought. NDVI anomalies and crop yield anomalies have correlated to assess the agricultural drought, NDVI and rainfall anomalies were correlated to determine the meteorological drought. Relationship between crop yields, NDVI, SPI, rainfall anomalies was used to determine the drought condition related with rainfall deficiency. | Format: Paperback | Language/Sprache: english | 94 gr | 56 pp. Seller Inventory # K9783639303261

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Book Description VDM Verlag Okt 2010, 2010. Taschenbuch. Condition: Neu. Neuware - Drought is the major climatic threat that affects agriculture of arid areas. Detection and evaluating the impact of drought with traditional methods has been laborious and time consuming. Recently methods for drought monitoring are improved. This research assessed the drought conditions at temporal basis using the meteorological and agricultural parameters integrated with geo spatial technologies. Satellite based anomalies were calculated for NDVI, rainfall and crop yield, reference evapotranspiration (ETo) evaluate comparatively the per cent change in different years. The Standardized precipitation Index was also used as an indicator. The Spatial Auto correlation regression analysis was preformed between SPI, NDVI, rainfall anomalies, total seasonal rainfall, crop yield and ET o to observe the temporal pattern of drought. NDVI anomalies and crop yield anomalies have correlated to assess the agricultural drought, NDVI and rainfall anomalies were correlated to determine the meteorological drought. Relationship between crop yields, NDVI, SPI, rainfall anomalies was used to determine the drought condition related with rainfall deficiency. 56 pp. Englisch. Seller Inventory # 9783639303261

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Book Description VDM Verlag Okt 2010, 2010. Taschenbuch. Condition: Neu. Neuware - Drought is the major climatic threat that affects agriculture of arid areas. Detection and evaluating the impact of drought with traditional methods has been laborious and time consuming. Recently methods for drought monitoring are improved. This research assessed the drought conditions at temporal basis using the meteorological and agricultural parameters integrated with geo spatial technologies. Satellite based anomalies were calculated for NDVI, rainfall and crop yield, reference evapotranspiration (ETo) evaluate comparatively the per cent change in different years. The Standardized precipitation Index was also used as an indicator. The Spatial Auto correlation regression analysis was preformed between SPI, NDVI, rainfall anomalies, total seasonal rainfall, crop yield and ET o to observe the temporal pattern of drought. NDVI anomalies and crop yield anomalies have correlated to assess the agricultural drought, NDVI and rainfall anomalies were correlated to determine the meteorological drought. Relationship between crop yields, NDVI, SPI, rainfall anomalies was used to determine the drought condition related with rainfall deficiency. 56 pp. Englisch. Seller Inventory # 9783639303261

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Book Description VDM Verlag, Germany, 2010. Paperback. Condition: New. Language: English . Brand New Book. Drought is the major climatic threat that affects agriculture of arid areas. Detection and evaluating the impact of drought with traditional methods has been laborious and time consuming. Recently methods for drought monitoring are improved. This research assessed the drought conditions at temporal basis using the meteorological and agricultural parameters integrated with geo spatial technologies. Satellite based anomalies were calculated for NDVI, rainfall and crop yield, reference evapotranspiration (ETo) evaluate comparatively the per cent change in different years. The Standardized precipitation Index was also used as an indicator. The Spatial Auto correlation regression analysis was preformed between SPI, NDVI, rainfall anomalies, total seasonal rainfall, crop yield and ET o to observe the temporal pattern of drought. NDVI anomalies and crop yield anomalies have correlated to assess the agricultural drought, NDVI and rainfall anomalies were correlated to determine the meteorological drought. Relationship between crop yields, NDVI, SPI, rainfall anomalies was used to determine the drought condition related with rainfall deficiency. Seller Inventory # KNV9783639303261

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