Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Change Detection of Desert Sand Dunes: A Remote Sensing Approach"
written by Surender Varma, Vatsal Shah, Biplab Banerjee, Krishna Mohan Buddhiraju,
published by Advances in Remote Sensing, Vol.3 No.1, 2014
has been cited by the following article(s):
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[1] Calculation of the Rub'al Khali Sand Dune Volume for Estimating Potential Sand Sources
Remote Sensing, 2022
[2] Development and Oilfield Infrastructure
Remote Sensing for Hydrocarbon Exploration, 2022
[3] The Extremophilic Actinobacteria: From Microbes to Medicine
2021
[4] Change Detection Using a Texture Feature Space Outlier Index from Mono-Temporal Remote Sensing Images and Vector Data
Remote Sensing, 2021
[5] Extremophilic Actinobacteria: Microbes to Medicine
2021
[6] Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques; Case Study: Rigan, Fahraj and Narmashir Counties, Kerman …
2020
[7] Measuring the effect of wind-driven processes on coastal dunes: a study of the Atlantis and Geelbek dune fields along the West Coast of South Africa
2020
[8] Variations in dew moisture regimes in desert ecosystems and their influencing factors
2020
[9] Satellite Images of Sand Dunes Filtered by Means of GIMP Retinex
2020
[10] Multi-Temporal monitoring of sand field dynamic behavior in the West of Damghan Playa (1972-2016)
2019
[11] Change Detection in Satellite Images Applied to the Study of Sand Dunes
2019
[12] Trace Evidence from Mars' Past: Fingerprinting Transverse Aeolian Ridges
2019
[13] 遥感影像变化检测样本自动抽样
2019
[14] Analysis of dune morphology within the Rub'al Khali using geospatial technology
2017
[15] Sand Dune Encroachment and Desertification Processes of the Rigboland Sand Sea, Central Iran
Scientific Reports, 2017
[16] Application of Database Approaches to the Study of Earth's Aeolian Environments: Community Needs and Goals
Aeolian Research, 2017
[17] Efficiency of an Artificial Fencing Method for Combating Desertification in the Northwest of China, the Case of Yanchi County of Ningxia Hui Autonomous Region
Nature Environment and Pollution Technology, 2016
[18] Automated mapping of linear dunefield morphometric parameters from remotely-sensed data
Aeolian Research, 2015
[19] Assessment of Land Cover Changes in Lampedusa Island (Italy) using Landsat TM and OLI data
Journal of African Earth Sciences, 2015
[20] A review on availability of remote sensing data
Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 2015 IEEE, 2015
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