Special Issue "Geological Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (1 June 2013)
Prof. Dr. Nancy F. Glenn
Department of Geosciences, Boise State University, 1910 University Drive, Boise, Idaho 83725-1535, USA
Interests: remote sensing of semiarid environments and development of LiDAR processing techniques
Investigations in earth science have played a strong role in the development of remote sensing sensors and image processing techniques that are now used across multiple disciplines. For example, hyperspectral sensors and spectral unmixing techniques were developed for surface composition and mineral exploration, while novel InSAR processing techniques were cultivated for tectonics and hydrology. Data integration has always been a major focus of geologic remote sensing and most recently, the use of visualization has facilitated both quantitative and qualitative data integration.
This special issue of Remote Sensing focuses on examining the current and future trends in remote sensing of the earth sciences. We are interested in research using a range of spectral-, spatial-, and temporal scales and sensors for earth science investigations. Papers on new spectral unmixing techniques, the use of multitemporal data, and integration of multiple sensor types are especially encouraged. Papers offering insight on quantitative validation techniques, ground sampling (e.g. spectrometer, terrestrial laser scanning) and at multiple scales are invited. Innovative papers on data processing or new computational methods for retrieving surface change, surface composition, and filtering/removing vegetation are also sought. New applications for earth science remote sensing data visualization, with an emphasis on data fusion may also be considered.
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.
- spectral unmixing
- spatial scaling
- data fusion
- spectral discrimination
Remote Sens. 2013, 5(10), 4857-4876; doi:10.3390/rs5104857
Received: 4 August 2013; in revised form: 7 September 2013 / Accepted: 23 September 2013 / Published: 8 October 2013| Cited by 1 | PDF Full-text (960 KB) | HTML Full-text | XML Full-text
Article: Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China
Remote Sens. 2013, 5(7), 3156-3171; doi:10.3390/rs5073156
Received: 30 April 2013; in revised form: 12 June 2013 / Accepted: 13 June 2013 / Published: 25 June 2013| Cited by 1 | PDF Full-text (1532 KB) | HTML Full-text | XML Full-text
Article: Evaluation of Digital Classification of Polarimetric SAR Data for Iron-Mineralized Laterites Mapping in the Amazon Region
Remote Sens. 2013, 5(6), 3101-3122; doi:10.3390/rs5063101
Received: 28 April 2013; in revised form: 12 June 2013 / Accepted: 13 June 2013 / Published: 20 June 2013| PDF Full-text (1598 KB) | HTML Full-text | XML Full-text
Article: Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska
Remote Sens. 2013, 5(6), 2813-2837; doi:10.3390/rs5062813
Received: 26 March 2013; in revised form: 16 May 2013 / Accepted: 16 May 2013 / Published: 31 May 2013| Cited by 2 | PDF Full-text (3819 KB) | HTML Full-text | XML Full-text
Remote Sens. 2013, 5(6), 2688-2703; doi:10.3390/rs5062688
Received: 27 March 2013; in revised form: 15 May 2013 / Accepted: 15 May 2013 / Published: 27 May 2013| Cited by 3 | PDF Full-text (3308 KB) | HTML Full-text | XML Full-text
Last update: 5 March 2013