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1
Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria
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Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

Remote Sensing, 2017 Oct, Vol.9(10) [Peer Reviewed Journal]

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Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images

Remote Sensing, 01 November 2010, Vol.2(12), pp.2665-2679 [Peer Reviewed Journal]

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Guidance Index for Shallow Landslide Hazard Analysis
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Guidance Index for Shallow Landslide Hazard Analysis

Remote Sensing, 2016 Oct, Vol.8(10) [Peer Reviewed Journal]

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GPS Bias Correction and Habitat Selection by Mountain Goats
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GPS Bias Correction and Habitat Selection by Mountain Goats

Remote Sensing, 2011 Mar, Vol.3(3), pp.435-459 [Peer Reviewed Journal]

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GPR Signal Characterization for Automated Landmine and UXO Detection Based on Machine Learning Techniques

Remote Sensing, 0, 2014, Vol.6(10), pp.9729-9748 [Peer Reviewed Journal]

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Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

Remote Sensing, 0, 2014, Vol.6(2), pp.964-983 [Peer Reviewed Journal]

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Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China
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Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China

Remote Sensing, 2017 Sep, Vol.9(9) [Peer Reviewed Journal]

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A Remote Sensing and GIS Approach to Study the Long-Term Vegetation Recovery of a Fire-Affected Pine Forest in Southern Greece
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A Remote Sensing and GIS Approach to Study the Long-Term Vegetation Recovery of a Fire-Affected Pine Forest in Southern Greece

Remote Sensing, 2015 Jun, Vol.7(6), pp.7712-7731 [Peer Reviewed Journal]

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Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai
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Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai

Remote Sensing, 2017 Apr, Vol.9(4) [Peer Reviewed Journal]

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Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment

Remote Sensing, 0, 2014, Vol.6(5), pp.4240-4265 [Peer Reviewed Journal]

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