The United States Fish and Wildlife Service has determined that the black-tailed prairie dog (Cynomys ludovicianus) warrants listing as a threatened species under the Endangered Species Act. Central to any conservation planning for the black-tailed prairie dog is an appropriate detection and monitoring technique. Because coarse-resolution satellite imagery is not adequate to detect black-tailed...

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 study investigates and demonstrates the state of the art in remote sensing techniques for detailed landslide hazard assessment applicable to large areas. Since the most common methods of landslide hazard assessment using simple inventories and weighted overlays are heavily dependent on three-dimensional terrain visualization and analysis, stereo satellite images from the IKONOS Very High R...

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...

The continued advancements in satellite sensor technologies have increased the number of objects that can be discriminated within satellite imagery. Effective segmentation of high resolution satellite imagery is currently a hot topic of research. Existing segmentation algorithms and applications contain many parameters and options which require the operator to select a proper set of parameters ...