Change detection and building spatial geodatabase for Iraqi marshes
نویسندگان
چکیده
منابع مشابه
The Stalled Recovery of the Iraqi Marshes
The Iraqi (Mesopotamian) Marshes, an extensive wetlands system in Iraq, has been heavily impacted by both human and climate forces over the past decades. In the period leading up to the Second Gulf War in 2002, the marshlands were shrinking due to both a policy of draining and water diversion in Iraq and construction of dams upstream on the Tigris and Euphrates rivers. Following the war through...
متن کاملislanding detection methods for microgrids
امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...
15 صفحه اولA novel building change index for automatic building change detection from high-resolution remote sensing imagery
A novel building change index for automatic building change detection from high-resolution remote sensing imagery Xin Huang, Tingting Zhu, Liangpei Zhang & Yuqi Tang To cite this article: Xin Huang, Tingting Zhu, Liangpei Zhang & Yuqi Tang (2014) A novel building change index for automatic building change detection from high-resolution remote sensing imagery, Remote Sensing Letters, 5:8, 713-72...
متن کاملIraqi Nation-building in the Honors College
Since the end of the Cold War, nationalist, ethnic, and civic conflicts have proliferated around the globe. Thus, the optimistic notion of the “End of History” has degenerated into a “Clash of Civilizations,” at least according to some prominent thinkers of international relations.1 The United States, the United Nations, and other international actors have been drawn into several of these confl...
متن کاملBuilding Change Detection from Uniform Regions
This paper deals with building change detection by supervised classification of image regions into 'built up' and 'non built up' areas. Regions are the connected components of low gradient values in a multi-spectral aerial image. Classes are learnt from spectral (colour, vegetation index) and elevation cues relatively to building polygons and non building areas in the existing database. Possibl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201816203021