Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians

Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning

(2019) Philippe Rufin et al.   Remote Sensing

Current status of Landsat program, science, and applications

(2019) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond

(2019) David Frantz   Remote Sensing

Forest Stand Species Mapping Using the Sentinel-2 Time Series

(2019) Ewa Grabska et al.   Remote Sensing

Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data

(2019) Agata Hościło et al.   Remote Sensing

Forest-Type Classification Using Time-Weighted Dynamic Time Warping Analysis in Mountain Areas: A Case Study in Southern China

(2019) Kai Cheng et al.   Forests

Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data

(2019) Markus Immitzer et al.   Remote Sensing

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

(2018) P.J. Zarco-Tejada et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Improved mapping of forest type using spectral-temporal Landsat features

(2018) Valerie J. Pasquarella et al.   REMOTE SENSING OF ENVIRONMENT

Mapping forest change using stacked generalization: An ensemble approach

(2018) Sean P. Healey et al.   REMOTE SENSING OF ENVIRONMENT

Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites

(2018) Shahriar S. Heydari et al.   REMOTE SENSING OF ENVIRONMENT

Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery

(2018) Samuel Hislop et al.   Remote Sensing

Forest Type Identification with Random Forest Using Sentinel-1A, Sentinel-2A, Multi-Temporal Landsat-8 and DEM Data

(2018) Yanan Liu et al.   Remote Sensing

Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression

(2018) Rajasheker Pullanagari et al.   Remote Sensing

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

(2018) Mathias Wessel et al.   Remote Sensing

Tree Species Classification with Multi-Temporal Sentinel-2 Data

(2018) Magnus Persson et al.   Remote Sensing

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application

(2017) Stefanos Georganos et al.   GIScience & Remote Sensing

A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values

(2017) Amir Behnamian et al.   IEEE Geoscience and Remote Sensing Letters

Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species

(2017) Sabelo Madonsela et al.   International Journal of Applied Earth Observation and Geoinformation

Phenology-adaptive pixel-based compositing using optical earth observation imagery

(2017) David Frantz et al.   REMOTE SENSING OF ENVIRONMENT

A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series

(2017) Cornelius Senf et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

(2017) Azadeh Abdollahnejad et al.   Forests

Production of a Large-Area Individual Tree Species Map for Forest Inventory in a Complex Forest Setting and Lessons Learned

(2017) Donald G. Leckie et al.   CANADIAN JOURNAL OF REMOTE SENSING

Land surface phenology as an indicator of biodiversity patterns

(2016) Andrés Viña et al.   ECOLOGICAL INDICATORS

An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications

(2016) David Frantz et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring

(2016) Txomin Hermosilla et al.   International Journal of Digital Earth

Optical remotely sensed time series data for land cover classification: A review

(2016) Cristina Gómez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Modeling and mapping forest diversity in the boreal forest of interior Alaska

(2016) Brian Young et al.   LANDSCAPE ECOLOGY

Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada

(2016) Harold S.J. Zald et al.   REMOTE SENSING OF ENVIRONMENT

Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data

(2016) Gaia Vaglio Laurin et al.   REMOTE SENSING OF ENVIRONMENT

Review of studies on tree species classification from remotely sensed data

(2016) Fabian Ewald Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers

(2016) Laurel Ballanti et al.   Remote Sensing

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series

(2016) David Sheeren et al.   Remote Sensing

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape

(2015) Hannes Müller et al.   REMOTE SENSING OF ENVIRONMENT

The AmericaView classification methods accuracy comparison project: A rigorous approach for model selection

(2015) Rick L. Lawrence et al.   REMOTE SENSING OF ENVIRONMENT

Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science

(2014) J. C. White et al.   CANADIAN JOURNAL OF REMOTE SENSING

Accurate mapping of forest types using dense seasonal Landsat time-series

(2014) Xiaolin Zhu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Good practices for estimating area and assessing accuracy of land change

(2014) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality

(2014) Lars Waser et al.   Remote Sensing

Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution

(2013) Robin Engler et al.   FOREST ECOLOGY AND MANAGEMENT

Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites

(2013) Patrick Griffiths et al.   REMOTE SENSING OF ENVIRONMENT

Relation between Seasonally Detrended Shortwave Infrared Reflectance Data and Land Surface Moisture in Semi‑Arid Sahel

(2013) Jørgen Olsen et al.   Remote Sensing

Satellite-based stand-wise forest cover type mapping using a spatially adaptive classification approach

(2011) Johannes Stoffels et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery

(2011) So-Ra Kim et al.   SENSORS

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

(2011) Jesús Delegido et al.   SENSORS

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

Support vector machines in remote sensing: A review

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

Mapping tree species in temperate deciduous woodland using time-series multi-spectral data

(2009) R. A. Hill et al.   APPLIED VEGETATION SCIENCE

A hierarchical approach coupled with coarse DEM information for improving the efficiency and accuracy of forest mapping over very rugged terrains

(2009) Guopeng Ren et al.   FOREST ECOLOGY AND MANAGEMENT

Remote sensing imagery in vegetation mapping: a review

(2008) Y. Xie et al.   Journal of Plant Ecology