Related references
Note: Only part of the references are listed.Deep learning based multi-temporal crop classification
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning
Philippe Rufin et al.
REMOTE SENSING (2019)
Current status of Landsat program, science, and applications
Michael A. Wulder et al.
REMOTE SENSING OF ENVIRONMENT (2019)
FORCELandsat + Sentinel-2 Analysis Ready Data and Beyond
David Frantz
REMOTE SENSING (2019)
Forest Stand Species Mapping Using the Sentinel-2 Time Series
Ewa Grabska et al.
REMOTE SENSING (2019)
Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data
Agata Hoscilo et al.
REMOTE SENSING (2019)
Forest-Type Classification Using Time-Weighted Dynamic Time Warping Analysis in Mountain Areas: A Case Study in Southern China
Kai Cheng et al.
FORESTS (2019)
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
Markus Immitzer et al.
REMOTE SENSING (2019)
Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application
Stefanos Georganos et al.
GISCIENCE & REMOTE SENSING (2018)
Implementation of machine-learning classification in remote sensing: an applied review
Aaron E. Maxwell et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
P. J. Zarco-Tejada et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Improved mapping of forest type using spectral-temporal Landsat features
Valerie J. Pasquarella et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Mapping forest change using stacked generalization: An ensemble approach
Sean P. Healey et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites
Shahriar S. Heydari et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
Samuel Hislop et al.
REMOTE SENSING (2018)
Forest Type Identification with Random Forest Using Sentinel-1A, Sentinel-2A, Multi-Temporal Landsat-8 and DEM Data
Yanan Liu et al.
REMOTE SENSING (2018)
Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression
Rajasheker R. Pullanagari et al.
REMOTE SENSING (2018)
Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data
Mathias Wessel et al.
REMOTE SENSING (2018)
Tree Species Classification with Multi-Temporal Sentinel-2 Data
Magnus Persson et al.
REMOTE SENSING (2018)
Modeling and mapping forest diversity in the boreal forest of interior Alaska
Brian Young et al.
LANDSCAPE ECOLOGY (2017)
A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values
Amir Behnamian et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species
Sabelo Madonsela et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2017)
Phenology-adaptive pixel-based compositing using optical earth observation imagery
David Frantz et al.
REMOTE SENSING OF ENVIRONMENT (2017)
A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series
Cornelius Senf et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data
Azadeh Abdollahnejad et al.
FORESTS (2017)
Production of a Large-Area Individual Tree Species Map for Forest Inventory in a Complex Forest Setting and Lessons Learned
Donald G. Leckie et al.
CANADIAN JOURNAL OF REMOTE SENSING (2017)
Remote sensing improves prediction of tropical montane species diversity but performance differs among taxa
Christine I. B. Wallis et al.
ECOLOGICAL INDICATORS (2017)
Understanding farmland abandonment in the Polish Carpathians
Natalia Kolecka et al.
APPLIED GEOGRAPHY (2017)
Long-term impact of socio-economic changes on agricultural land use in the Polish Carpathians
Anna Bucala-Hrabia
LAND USE POLICY (2017)
Land surface phenology as an indicator of biodiversity patterns
Andres Vina et al.
ECOLOGICAL INDICATORS (2016)
An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications
David Frantz et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring
Txomin Hermosilla et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Optical remotely sensed time series data for land cover classification: A review
Cristina Gomez et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada
Harold S. J. Zald et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data
Gaia Vaglio Laurin et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Review of studies on tree species classification from remotely sensed data
Fabian Ewald Fassnacht et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers
Laurel Ballanti et al.
REMOTE SENSING (2016)
First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
Markus Immitzer et al.
REMOTE SENSING (2016)
Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series
David Sheeren et al.
REMOTE SENSING (2016)
Machine learning in geosciences and remote sensing
David J. Lary et al.
GEOSCIENCE FRONTIERS (2016)
Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape
Hannes Mueller et al.
REMOTE SENSING OF ENVIRONMENT (2015)
The America View classification methods accuracy comparison project: A rigorous approach for model selection
Rick L. Lawrence et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science
J. C. White et al.
CANADIAN JOURNAL OF REMOTE SENSING (2014)
Accurate mapping of forest types using dense seasonal Landsat time-series
Xiaolin Zhu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
Patrick Griffiths et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality
Lars T. Waser et al.
REMOTE SENSING (2014)
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution
Robin Engler et al.
FOREST ECOLOGY AND MANAGEMENT (2013)
Relation between Seasonally Detrended Shortwave Infrared Reflectance Data and Land Surface Moisture in Semi-Arid Sahel
Jorgen L. Olsen et al.
REMOTE SENSING (2013)
Satellite-based stand-wise forest cover type mapping using a spatially adaptive classification approach
Johannes Stoffels et al.
EUROPEAN JOURNAL OF FOREST RESEARCH (2012)
Support vector machines in remote sensing: A review
Giorgos Mountrakis et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery
So-Ra Kim et al.
SENSORS (2011)
Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content
Jesus Delegido et al.
SENSORS (2011)
Mapping tree species in temperate deciduous woodland using time-series multi-spectral data
R. A. Hill et al.
APPLIED VEGETATION SCIENCE (2010)
Letter to the Editor: Stability of Random Forest importance measures
M. L. Calle et al.
BRIEFINGS IN BIOINFORMATICS (2010)
A hierarchical approach coupled with coarse DEM information for improving the efficiency and accuracy of forest mapping over very rugged terrains
Guopeng Ren et al.
FOREST ECOLOGY AND MANAGEMENT (2009)
Remote sensing imagery in vegetation mapping: a review
Yichun Xie et al.
JOURNAL OF PLANT ECOLOGY (2008)
Issues in species classification of trees in old growth conifer stands
Donald G. Leckie et al.
CANADIAN JOURNAL OF REMOTE SENSING (2005)
Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification
LKA Dorren et al.
FOREST ECOLOGY AND MANAGEMENT (2003)
A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest
T Key et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Share Paper
