Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

(2017) Phan Thanh Noi et al.   SENSORS

Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

(2017) Jordi Inglada et al.   Remote Sensing

Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series

(2017) Charlotte Pelletier et al.   Remote Sensing

A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)

(2017) Valentine Lebourgeois et al.   Remote Sensing

High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture

(2016) Rasmus Houborg 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

Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

(2016) Jordi Inglada et al.   Remote Sensing

Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions

(2016) Silvia Valero et al.   Remote Sensing

Reliable Crop Identification with Satellite Imagery in the Context of Common Agriculture Policy Subsidy Control

(2015) Jonas Schmedtmann et al.   Remote Sensing

An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

(2015) Nicolas Matton et al.   Remote Sensing

Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery

(2015) Jordi Inglada et al.   Remote Sensing

Analysis of NDVI Data for Crop Identification and Yield Estimation

(2014) Jing Huang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data

(2014) Qiangzi Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object-Based Image Classification of Summer Crops with Machine Learning Methods

(2014) José Peña et al.   Remote Sensing

Parcel-Level Identification of Crop Types Using Different Classification Algorithms and Multi-Resolution Imagery in Southeastern Turkey

(2013) Ugur Alganci et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Land cover mapping with emphasis to burnt area delineation using co-orbital ALI and Landsat TM imagery

(2012) George P. Petropoulos et al.   International Journal of Applied Earth Observation and Geoinformation

Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: a comparison study

(2011) Mustafa Turker et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object-based crop identification using multiple vegetation indices, textural features and crop phenology

(2011) José M. Peña-Barragán et al.   REMOTE SENSING OF ENVIRONMENT

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

Support vector machines in remote sensing: A review

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

Urban Mining in Times of Raw Material Shortage

(2010) Manfred Klinglmair et al.   JOURNAL OF INDUSTRIAL ECOLOGY

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing