Natural Forest Mapping in the Andes (Peru): A Comparison of the Performance of Machine-Learning Algorithms

Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

(2018) Manqi Li et al.   GIScience & Remote Sensing

Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers

(2017) Chuc Duc Man et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A Relative Density Ratio-Based Framework for Detection of Land Cover Changes in MODIS NDVI Time Series

(2016) Asim Anees et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Image interpretation-guided supervised classification using nested segmentation

(2015) A.V. Egorov et al.   REMOTE SENSING OF ENVIRONMENT

Mapping forest functional type in a forest-shrubland ecotone using SPOT imagery and predictive habitat distribution modelling

(2015) Timothy J. Assal et al.   Remote Sensing Letters

National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation

(2014) P V Potapov et al.   Environmental Research Letters

Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment

(2014) Kevin C. Guay et al.   GLOBAL CHANGE BIOLOGY

Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity

(2012) Jaime Paneque-Gálvez et al.   International Journal of Applied Earth Observation and Geoinformation

Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery

(2011) George P. Petropoulos et al.   COMPUTERS & GEOSCIENCES

Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment

(2011) Robert Gilmore Pontius et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors

(2010) H. Latifi et al.   FORESTRY

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spectral unmixing model to assess land cover fractions in Mongolian steppe regions

(2010) Ishgaldan Byambakhuu et al.   REMOTE SENSING OF ENVIRONMENT

Tropical forest carbon assessment: integrating satellite and airborne mapping approaches

(2009) Gregory P Asner   Environmental Research Letters

Land‐cover classification in the Andes of southern Ecuador using Landsat ETM+ data as a basis for SVAT modelling

(2009) D. Göttlicher et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa

(2008) Elizabeth A. Freeman et al.   ECOLOGICAL MODELLING

Harshness in image classification accuracy assessment

(2008) Giles M. Foody   INTERNATIONAL JOURNAL OF REMOTE SENSING

A topography-based model of forest cover at the alpine tree line in the tropical Andes

(2007) Maaike Y. Bader et al.   JOURNAL OF BIOGEOGRAPHY

Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation

(2007) Morton J. Canty et al.   REMOTE SENSING OF ENVIRONMENT