Abstract The production of land cover maps is an everyday use image classification applications on remote sensing. However, managing Earth observation satellite data for a large region interest challenging in the task creating maps. Since imagery getting more precise and extensive, Big Data techniques are becoming essential to handle rising quantity data. Furthermore, given complexity analysing...

We propose using satellite remote sensing technology with a modified damage detection model based on the regression discriminant function for severe building damage ratios as a method to quickly estimate damaged areas due to tsunamis anywhere in the world. The model was developed using a data set from JERS-1/SAR images of the aftermath of the 1995 Kobe earthquake and its detailed ground-truth d...

There is a wide variety of geo-spatial data available on the Internet, including a number of data sources that provide satellite imagery and maps of various regions. The National Map, MapQuest, and University of Texas Map Library are good examples of map or satellite imagery repositories. In addition, a wide variety of maps are available from various government agencies, such as property survey...

ASTER is a high-spatial resolution, multispectral imaging system flying aboard TERRA, a satellite launched in December 1999 as part of NASA’s Earth Observing System (EOS). An ASTER scene covering 61.5 km x 63 km contains data from 14 spectral bands. An ASTER Digital Elevation Model (DEM) is generated using bands 3N (nadir) and 3B (backward) level 1A images acquired by the Visible Near Infra-red...

There is an increasing demand amongst resource managers for cost-effective watershed-scale inventories of riparian buffer condition and function. Recent developments in image processing software and decreasing satellite imagery costs enable a new methodology that can help meet this demand. ASTER satellite imagery, which has 15 metre pixel size, is processed with image segmentation software to i...

The ortho-rectification of satellite images is normally a timeconsuming and expensive task. It can strongly benefit from automatic or semiautomatic procedures in order to avoid field work for ground control survey. This article presents an automated method to automatically georeference satellite images acquired by the ASTER sensor. The method is based on automatic matching of images and Digital...

Since the early 1990s, the availability of remote sensing imagery in the solar reflective (400 to 2500 nm) has seen a dramatic increase. Airborneand satellite-based sensors now cover this spectral range with a variety of spectral resolutions (from the multispectral to hyperspectral) and spatial resolutions ranging from better than 0.3 m for some airborne systems (and better than 1 m for satelli...

The purpose of multispectral satellite imagery preprocessing for Land Cover Classification is creation of enhanced satellite images before further processing and imagery analysis with final land classification and automated linear object and area border detection for selected classes of objects.