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Integration of Remote Sensing and Meteorological Data for Monitoring Agricultural Drought

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dc.contributor.advisor Di, Liping Peng, Chunming
dc.creator Peng, Chunming en_US 2014-09-18T01:56:11Z 2014-09-18T01:56:11Z 2014-05 en_US
dc.description.abstract Affecting more people than other natural hazards, drought may lead to enormous decrease in crop production and also in the amount of poultry and livestock, and thus endangering food security and economy. Developing an appropriate drought indicator and a timely and accurate drought monitoring system has been a motivation for scientists in the last two decades. Vegetation conditions valued via remotely sensed indices have been used as indicators for agricultural drought since the 1980s. However, the anomalies in vegetation performance do not always signify droughts. Wild fire, extreme temperature, flood, pesticides or lack of fertilizers can all cause the vegetation stress. One of the major goals for this dissertation is to evaluate and investigate vegetation drought stress and other vegetation stresses using remote sensing techniques. The other major goal is to estimate the root-zone soil moisture levels beneath various crop canopies using satellite data and ground observations. Since soil moisture is the primary indicator for agricultural drought, accurate and reliable soil moisture estimates have important implications for drought monitoring.
dc.format.extent 243 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Chunming Peng en_US
dc.subject Geographic information science and geodesy en_US
dc.subject Geography en_US
dc.subject Drought en_US
dc.subject NDDI en_US
dc.subject NDVI en_US
dc.subject NDWI en_US
dc.subject Remote sensing en_US
dc.subject SCAN en_US
dc.title Integration of Remote Sensing and Meteorological Data for Monitoring Agricultural Drought en_US
dc.type Dissertation en Doctoral en Earth Systems and Geoinformation Sciences en George Mason University en

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