Center pivot irrigation system analysis using airborne remotely sensed imagery: a commercial remote sensing case study

2002 ◽  
Author(s):  
M.C. MacDonald
Keyword(s):  
Remote Sensing ◽  
System Analysis ◽  
Irrigation System ◽  
Remotely Sensed ◽  
Remotely Sensed Imagery ◽  
Center Pivot

Use of Remotely Sensed Imagery in Cyber Warfare and Cyber Counterterrorism

2011 ◽  
pp. 298-305
Author(s):  
Gang Gong ◽  
Mark R. Leipnik
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remotely Sensed ◽  
Aerial Photographs ◽  
The Internet ◽  
Cyber Warfare ◽  
Future Trends ◽  
Remotely Sensed Imagery ◽  
General Terms ◽  
High Resolution Imagery

Remote sensing refers to the acquisition of information at a distance. More specifically, it has come to mean using aerial photographs or sensors on satellites to gather data about features on the surface of the earth. In this article, remote sensing and related concepts are defined and the methods used in gathering and processing remotely sensed imagery are discussed. The evolution of remote sensing, generic applications and major sources of remotely sensed imagery and programs used in processing and analyzing remotely sensed imagery are presented. Then the application of remote sensing in warfare and counterterrorism is discussed in general terms with a number of specific examples of successes and failures in this particular area. Next, the potential for misuse of the increasing amount of high resolution imagery available over the Internet is discussed along with prudent countermeasures to potential abuses of this data. Finally, future trends with respect to this rapidly evolving technology are included.

scholarly journals Remote sensing and fisheries: an introduction

2011 ◽  
Vol 68 (4) ◽  
pp. 639-641 ◽  
Author(s):  
Venetia Stuart ◽  
Trevor Platt ◽  
Shubha Sathyendranath ◽  
P Pravin
Keyword(s):  
Remote Sensing ◽  
Sustainable Management ◽  
Remotely Sensed ◽  
Marine Resources ◽  
Marine Science ◽  
Remotely Sensed Imagery ◽  
International Coordination

Abstract Stuart, V., Platt, T., Sathyendranath, S., and Pravin, P. 2011. Remote sensing and fisheries: an introduction. – ICES Journal of Marine Science, 68: 639–641. The international coordination project SAFARI (Societal Applications in Fisheries and Aquaculture using Remotely-sensed Imagery) organized a symposium on Remote Sensing and Fisheries in Kochi, India, 11–17 February 2010. The well-attended symposium highlighted various applications of remote sensing to fisheries and aquaculture and identified various steps that would further enhance the use of remote sensing for sustainable management of marine resources and stewardship of the oceans.

scholarly journals Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa

2008 ◽  
Vol 12 (3) ◽  
pp. 751-767 ◽  
Author(s):  
T. Vischel ◽  
G. G. S. Pegram ◽  
S. Sinclair ◽  
W. Wagner ◽  
A. Bartsch
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Soil Moisture ◽  
Hydrological Model ◽  
Regional Scale ◽  
Remotely Sensed ◽  
Hydrological Models ◽  
Good Correspondence ◽  
Physically Based

Abstract. The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second estimate is derived from the scatterometer on board the European Remote Sensing satellite (ERS). Results show a good correspondence between the modelled and remotely sensed soil moisture, particularly with respect to the soil moisture dynamic, illustrated over two selected seasons of 8 months, yielding regression R2 coefficients lying between 0.68 and 0.92. Such a close similarity between these two different, independent approaches is very promising for (i) remote sensing in general (ii) the use of hydrological models to back-calculate and disaggregate the satellite soil moisture estimate and (iii) for hydrological models to assimilate the remotely sensed soil moisture.

scholarly journals A New Method for Geometric Quality Evaluation of Remote Sensing Image Based on Information Entropy

2014 ◽  
Vol XL-2 ◽  
pp. 63-70 ◽  
Author(s):  
W. Jiao ◽  
T. Long ◽  
G. Yang ◽  
G. He
Keyword(s):  
Remote Sensing ◽  
Information Entropy ◽  
Quality Evaluation ◽  
Remote Sensing Image ◽  
Remotely Sensed ◽  
New Method ◽  
Reference Image ◽  
Geometric Accuracy ◽  
Remotely Sensed Imagery ◽  
Geometric Quality

Geometric accuracy of the remote sensing rectified image is usually evaluated by the root-mean-square errors (RMSEs) of the ground control points (GCPs) and check points (CPs). These discrete geometric accuracy index data represent only on a local quality of the image with statistical methods. In addition, the traditional methods only evaluate the difference between the rectified image and reference image, ignoring the degree of the original image distortion. A new method of geometric quality evaluation of remote sensing image based on the information entropy is proposed in this paper. The information entropy, the amount of information and the uncertainty interval of the image before and after rectification are deduced according to the information theory. Four kind of rectification model and seven situations of GCP distribution are applied on the remotely sensed imagery in the experiments. The effective factors of the geometrical accuracy are analysed and the geometric qualities of the image are evaluated in various situations. Results show that the proposed method can be used to evaluate the rectification model, the distribution model of GCPs and the uncertainty of the remotely sensed imagery, and is an effective and objective assessment method.

A Boundary Parallel-Like Index for High-Resolution Remotely Sensed Imagery Classification

2019 ◽  
Vol 33 (04) ◽  
pp. 1954014 ◽  
Author(s):  
Weiwei Jiang ◽  
Henglin Xiao ◽  
Zhan Zhao ◽  
Jianguo Zhou
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Image Classification ◽  
Remote Sensing Image ◽  
Remotely Sensed ◽  
Shape Features ◽  
Remote Sensing Imagery ◽  
Remotely Sensed Imagery ◽  
Remote Sensing Image Classification ◽  
Discriminating Ability

This paper proposes boundary parallel-like index (BPI) to describe shape features for high-resolution remote sensing image classification. Parallel-like boundary is found to be a discriminating clue which can reveal the shape regularity of segmented objects. Therefore, multi-orientation distance projections were constructed to measure and quantify parallel-like information. The discriminating ability was tested using original and segmented ground objects, respectively. The proposed BPI showed better discrimination for both original and segmented data than for other shape features, especially for buildings. This was also confirmed by the considerably higher accuracy of BPI in building classification experiments of high-resolution remote sensing imagery. It suggests the proposed BPI is useful for building related applications.

Urban Change Detection Using Multi-temporal Remotely Sensed Imagery (Case Study: Gorgan Area, Northern Iran)

2013 ◽  
Vol 4 (2) ◽  
pp. 339-348
Author(s):  
Somayeh Galdavi ◽  
Marjan Mohammadzadeh ◽  
Abdolrassoul Salmanmahiny ◽  
Ali Najafi Nejad
Keyword(s):  
Change Detection ◽  
Remotely Sensed ◽  
Urban Change ◽  
Northern Iran ◽  
Remotely Sensed Imagery ◽  
Multi Temporal
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