4.6 Article

A Practical and Automated Approach to Large Area Forest Disturbance Mapping with Remote Sensing

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

Robert E. Kennedy et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Editorial Material Ecology

Supervised classification of microbiota mitigates mislabeling errors

Dan Knights et al.

ISME JOURNAL (2011)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Computer Science, Artificial Intelligence

LIBSVM: A Library for Support Vector Machines

Chih-Chung Chang et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)

Article Forestry

Assessing changes in forest fragmentation following infestation using time series Landsat imagery

Nicholas C. Coops et al.

FOREST ECOLOGY AND MANAGEMENT (2010)

Article Environmental Sciences

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

Chengquan Huang et al.

REMOTE SENSING OF ENVIRONMENT (2010)

Article Remote Sensing

A kernel functions analysis for support vector machines for land cover classification

T. Kavzoglu et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2009)

Article Geography, Physical

Development of time series stacks of Landsat images for reconstructing forest disturbance history

Chengquan Huang et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2009)

Article Environmental Sciences

Use of a dark object concept and support vector machines to automate forest cover change analysis

Chengquan Huang et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Article Geography, Physical

Patterns in forest clearing along the appalachian. trail corridor

David Potere et al.

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2007)

Article Geography, Physical

Historical record of Landsat global coverage: Mission operations, NSLRSDA, and international cooperator stations

Samuel Goward et al.

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2006)

Article Remote Sensing

Characterization of the diminishing accuracy in detecting forest insect damage over time

Michael A. Wulder et al.

CANADIAN JOURNAL OF REMOTE SENSING (2005)

Article Environmental Sciences

Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection

SP Healey et al.

REMOTE SENSING OF ENVIRONMENT (2005)

Article Geochemistry & Geophysics

Partially supervised classification of remote sensing images through SVM-based probability density estimation

P Mantero et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)

Review Remote Sensing

Digital change detection methods in ecosystem monitoring: a review

P Coppin et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)

Article Environmental Sciences

Impacts of imagery temporal frequency on land-cover change detection monitoring

RS Lunetta et al.

REMOTE SENSING OF ENVIRONMENT (2004)

Review Remote Sensing

Change detection techniques

D Lu et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)

Article Computer Science, Artificial Intelligence

Training algorithms for fuzzy support vector machines with noisy data

CF Lin et al.

PATTERN RECOGNITION LETTERS (2004)

Article Computer Science, Artificial Intelligence

Fuzzy least squares support vector machines for multiclass problems

D Tsujinishi et al.

NEURAL NETWORKS (2003)

Article Computer Science, Artificial Intelligence

Analysis of new techniques to obtain quality training sets

JS Sánchez et al.

PATTERN RECOGNITION LETTERS (2003)

Article Biodiversity Conservation

Why are estimates of the terrestrial carbon balance so different?

RA Houghton

GLOBAL CHANGE BIOLOGY (2003)

Article Computer Science, Artificial Intelligence

Weighted least squares support vector machines: robustness and sparse approximation

JAK Suykens et al.

NEUROCOMPUTING (2002)

Article Environmental Sciences

Classification using ASTER data and SVM algorithms; The case study of Beer Sheva, Israel

GB Zhu et al.

REMOTE SENSING OF ENVIRONMENT (2002)

Article Remote Sensing

An assessment of support vector machines for land cover classification

C Huang et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)

Article Computer Science, Artificial Intelligence

Fuzzy support vector machines

CF Lin et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)

Article Remote Sensing

Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data

WB Cohen et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2001)

Article Environmental Sciences

Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?

C Song et al.

REMOTE SENSING OF ENVIRONMENT (2001)