Uncertainty Analysis for Remote Sensing Classification in the Context of Disaster Studies in Shanghai
نویسندگان
چکیده
Our study applies the object-oriented technology to extract urban green automatically, which could increase accuracy through evaluating and analyzing the quality of disaster spatial data by measuring the disfigurement points and disfigurement rate in disaster GIS based on error analysis. The study shows that for high resolution remote sensing images that the accuracy may increase about 20% based on objectoriented technology using remote sensing image processing software eCognition than based on traditional supervised classification method using software ERDAS.
منابع مشابه
Remote Sensing and Land Use Extraction for Kernel Functions Analysis by Support Vector Machines with ASTER Multispectral Imagery
Land use is being considered as an element in determining land change studies, environmental planning and natural resource applications. The Earth’s surface Study by remote sensing has many benefits such as, continuous acquisition of data, broad regional coverage, cost effective data, map accurate data, and large archives of historical data. To study land use / cover, remote sensing as an effic...
متن کاملApplication of remote sensing and geographical information system in mapping land cover of the national park
The study was conducted with the objective of mapping landscape cover of Nechsar National park in Ethiopia to produce spatially accurate and timely information on land use and changing pattern. Monitoring provides the planners and decision-makers with required information about the current state of its development and the nature of changes that have occurred. Remote sensing and Geographical Inf...
متن کاملPalarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm
Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...
متن کاملExploring Gördes Zeolite Sites by Feature Oriented Principle Component Analysis of LANDSAT Images
Recent studies showed that remote sensing (RS) is an effective, efficient and reliable technique used in almost all the areas of earth sciences. Remote sensing as being a technique started with aerial photographs and then developed employing the multi-spectral satellite images. Nowadays, it benefits from hyper-spectral, RADAR and LIDAR data as well. This potential has widen its applicability in...
متن کاملComparative analysis of remote sensing water indexes for wetland water body monitoring using Landsat images and the Google Earth Engine Platform0 (A Case study: Meighan Wetland, Iran)
Wetlands are dynamic and complex aquatic ecosystems that play an important role in the survival of many plant and animal species. This study modeled the spatio-temporal changes of the Arak Meighan wetland during 1985–2020 using the multi-temporal Landsat images. In doing so, the applicability of different satellite-derived indexes including NDVI, NDWI, MNDWI, AWEIsh , AWEInsh , and WRI was inve...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008