The utility of satellite imagery for landslide detection in southwest coastal British Columbia was evaluated by interpretation of orbital imagery (SPOT, IKONOS, and QUICKBIRD) and comparison with large-and medium-scale aerial photography. Satellite imagery was enhanced by simple, repeatable digital image processing techniques (contrast stretches and transformations, merging of images of differe...

This study aims to determine the accuracy level at which different forms of land degradation can be mapped from medium-resolution satellite data, and to assess how accurately degraded land can be detected from multi-temporal satellite images. Land degradation in the form of salinization and waterlogging in Tongyu County, western Jilin Province of Northeast China was mapped from Landsat TM and A...

Shading information in satellite imagery will give user an immediate appreciation for the surface topography. In this paper, an attempt has been made to reconstruct 3D shape or Depth elevation model (DEM) of satellite imagery using Shape from Shading approach. Three widely used shape from shading algorithms – Pentland‟s Linear approach, Lee and Rosenfeld‟s approach and Horn‟s approach were used...

Obtaining detailed and reliable data about local economic livelihoods in developing countries is expensive, and data are consequently scarce. Previous work has shown that it is possible to measure local-level economic livelihoods using high-resolution satellite imagery. However, such imagery is relatively expensive to acquire, often not updated frequently, and is mainly available for recent yea...

This paper presents a study about the potential of spectral unmixing of hyperspectral satellite image data for targeting and quantification of mineral content in limestone and bauxite rich areas in southern India. ASTER image (acquired in the VNIR and SWIR regions) has been used in conjunction with SRTM – DEM and field studies. A new approach of spectral unmixing of ASTER image data delineated ...

The Japanese geostationary meteorological satellite GMS-5, or also known as ”Himawari,” is positioned at 140◦E above the equator, and serves as a powerful tool for monitoring typhoons on the Pacific Ocean. This satellite is best suited for the monitoring of typhoons because of frequent observation, wide coverage, and fixed scan range. However, the degradation of effective resolution due to eart...

1 The original use of remote sensing using infrared photography for yield variation was conducted by Colwell (1956). Since the launch of the Landsat 1 imaging satellite in 1972 (Mulla, 2013), satellite imagery has been widely used in agriculture for yield prediction and most lately for site-specific N management. Bhatti et al. (1991) used Landsat imagery and auxiliary data to estimate wheat yie...

Satellite images are used for feature extraction among other functions. They are used to extract linear features, like roads, etc. These linear features extractions are important operations in computer vision. Computer vision has varied applications in photogrammetric, hydrographic, cartographic and remote sensing tasks. The extraction of linear features or boundaries defining the extents of la...

Visible/Infrared Imaging Radiometer Suite (VIIRS) Imagery from the Suomi National Polar-orbiting Partnership (S-NPP) satellite is the finest spatial resolution (375 m) multi-spectral imagery of any operational meteorological satellite to date. The Imagery environmental data record (EDR) has been designated as a Key Performance Parameter (KPP) for VIIRS, meaning that its performance is vital to ...

Deep convolutional neural networks (CNNs) have outperformed existing object recognition and detection algorithms. On the other hand satellite imagery captures scenes that are diverse. This paper describes a deep learning approach that analyzes a geo referenced satellite image and efficiently detects built structures in it. A Fully Convolution Network (FCN) is trained on low resolution Google ea...