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Short term drought monitoring using remote sensing technique: A case study of Potohar region, Pakistan

机译:利用遥感技术进行短期干旱监测:以巴基斯坦Potohar地区为例

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centered at 33.2° N and 72.75° E, at an elevation of 1,200 to 1,900 feet ASL). This area is more vulnerable to short term droughts with mean monthly rainfall in this area ranges from 30 to 200 mm with max. temperature up to 47 °C. Solar radiation (over 3,000 hours of sunshine/year) results in higher rate of evapo-transpiration. Such conditions and prolonged absence of regular rainfall lead to drought conditions affecting crop yield and economy of the country. NDVI product of MODIS Satellite was used for Rabi season (October to February) in order to investigate vegetation state and effects of drought on these crop. Soil Moisture data was incorporated to analyze water deficit pattern using NCEP global weather data from 2000–2012. The results showed that, there was a drastic decrease in mean NDVI during 2009–2010 winters' months due to low rainfall. This decrease in NDVI value seen from 2.2 in 2009–2010 as compared to average mean value of 2.9 for 2000–2012 of winter Monsoon months. Such relationship would help devise an early warning system to detect the onset of drought conditions and developing a continuous drought monitoring system. Based on such studies, future strategies for water management, mitigations could be worked out, such as preservation of water during summer monsoons to overcome the water stress in the coming winter season.
机译:中心位于北纬33.2°和东经72.75°,海拔1,200至1,900英尺。该地区更容易受到短期干旱的影响,该地区的平均月降雨量在30至200毫米之间,最大值为。温度高达47°C。太阳辐射(每年超过3,000小时的日照时间)导致更高的蒸发蒸腾速率。这样的条件和长时间没有定期降雨会导致干旱条件,影响该国的作物产量和经济。 MODIS Satellite的NDVI产品用于拉比季节(10月至2月),以调查植被状况和干旱对这些作物的影响。使用2000–2012年的NCEP全球天气数据,将土壤水分数据纳入分析缺水格局。结果表明,由于降雨量少,2009-2010年冬季的平均NDVI急剧下降。 NDVI值从2009-2010年的2.2下降到2000-2012年冬季季风月份的2.9的平均值。这种关系将有助于设计预警系统,以检测干旱情况的发作,并开发出连续的干旱监测系统。基于这些研究,可以制定未来的水资源管理策略,例如在夏季季风期间保存水源,以克服即将到来的冬季的水资源压力。

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