Special Issue "Hyperspectral Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 October 2011)
Hyperspectral remote sensing (HRS), or imaging spectroscopy (IS), is a technology that can provide detailed spectral information from every pixel in an image. Whereas HRS refers mostly to remote-sensing means (usually from far distances), the emerging IS technology covers all spatial-spectral domains, from microscopic to telescopic. In general, being a technology that provides spatial and spectral information simultaneously, HRS-IS improves our understanding of the remote environment. It enables accurate identification of both targets and phenomena as the spectral information is presented on a spatial rather than point (pixel) basis. Furthermore, it provides a new capability—to quantitatively assess chemical and physical aspects of the pixel(s) in question. The IS-HRS technology is well accepted in the remote-sensing arena as an innovative tool for many applications, such as in geology, ecology, soil, limnology, pedology, plant biology and atmospheric sciences, especially for cases in which other remote-sensing means have failed or are incapable of obtaining additional information. Whereas innovative approaches have been developed over the past 10 years, mostly by scientists, the power of the IS-HRS technology is still unknown to many potential end-users, such as decision-makers, farmers, environmental watchers in both the private and governmental sectors, city planners, stock holders and others. This is mainly because the use of HRS-IS sensors still relies on the relatively high cost of its final products and on the need for professional manpower to operate the instrument and process the data. Nonetheless, today, in addition to the growing number of scientific papers and conferences focusing on this technology, the HRS-IS discipline is very active: commercial sensors are being built and sold, orbital sensors are in advanced planning phases, people are becoming more educated on the topic, national and international funds are being directed toward studying and using this technology from all domains (ground air and space) and interest from the private sector is on the rise. The aim of this special issue is to gather innovative papers dealing with this technology from all aspects giving special emphasis to remote sensing of the Earth.
Prof. Dr. Eyal Ben-Dor
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
- imaging spectroscopy
- hyperspectral remote sensing
- data analysis
- data fusion
- existing and future development
- new sensors
- reflectance and emittance spectroscopy
Article: Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data
Remote Sens. 2011, 3(8), 1584-1602; doi:10.3390/rs3081584
Received: 6 June 2011; in revised form: 2 July 2011 / Accepted: 14 July 2011 / Published: 25 July 2011| Download PDF Full-text (1861 KB)
Article: AMARTIS v2: 3D Radiative Transfer Code in the [0.4; 2.5 µm] Spectral Domain Dedicated to Urban Areas
Remote Sens. 2011, 3(9), 1914-1942; doi:10.3390/rs3091914
Received: 3 July 2011; in revised form: 23 August 2011 / Accepted: 23 August 2011 / Published: 31 August 2011| Download PDF Full-text (2794 KB)
Article: Monitoring the Extent of Contamination from Acid Mine Drainage in the Iberian Pyrite Belt (SW Spain) Using Hyperspectral Imagery
Remote Sens. 2011, 3(10), 2166-2186; doi:10.3390/rs3102166
Received: 25 July 2011; in revised form: 6 September 2011 / Accepted: 2 October 2011 / Published: 14 October 2011| Download PDF Full-text (1237 KB)
Article: Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach
Remote Sens. 2011, 3(10), 2222-2242; doi:10.3390/rs3102222
Received: 12 August 2011; in revised form: 4 October 2011 / Accepted: 11 October 2011 / Published: 20 October 2011| Download PDF Full-text (1441 KB)
Article: Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves
Remote Sens. 2012, 4(1), 180-193; doi:10.3390/rs4010180
Received: 25 October 2011; in revised form: 10 January 2012 / Accepted: 10 January 2012 / Published: 11 January 2012| Download PDF Full-text (856 KB) | Download XML Full-text
Article: Two Linear Unmixing Algorithms to Recognize Targets Using Supervised Classification and Orthogonal Rotation in Airborne Hyperspectral Images
Remote Sens. 2012, 4(2), 532-560; doi:10.3390/rs4020532
Received: 5 December 2011; in revised form: 31 January 2012 / Accepted: 1 February 2012 / Published: 21 February 2012| Download PDF Full-text (3184 KB) | Download XML Full-text
Last update: 20 May 2011