Phenology-based sample generation for supervised crop type classification

The migration of training samples towards dynamic global land cover mapping

(2020) Huabing Huang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes

(2020) Issamaldin Mohammed et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine

(2020) Qingyu Li et al.   Remote Sensing

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017

(2020) Rolf Simoes et al.   Scientific Data

All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods

(2020) Jared Fowler et al.   International Journal of Applied Earth Observation and Geoinformation

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2

(2019) Ovidiu Csillik et al.   Remote Sensing

Impact of Texture Information on Crop Classification with Machine Learning and UAV Images

(2019) Geun-Ho Kwak et al.   Applied Sciences-Basel

Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series

(2019) Mengmeng Li et al.   International Journal of Applied Earth Observation and Geoinformation

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series

(2019) Hugo do Nascimento Bendini et al.   International Journal of Applied Earth Observation and Geoinformation

Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods

(2019) François Waldner et al.   REMOTE SENSING OF ENVIRONMENT

Automated training sample definition for seasonal burned area mapping

(2019) Lonesome Malambo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Remote sensing for agricultural applications: A meta-review

(2019) M. Weiss et al.   REMOTE SENSING OF ENVIRONMENT

A SPECLib-based operational classification approach: A preliminary test on China land cover mapping at 30 m

(2018) Xiao Zhang et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

(2018) Mariana Belgiu et al.   REMOTE SENSING OF ENVIRONMENT

Generalized space-time classifiers for monitoring sugarcane areas in Brazil

(2018) Ana Cláudia dos Santos Luciano et al.   REMOTE SENSING OF ENVIRONMENT

Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities

(2018) Akpona Okujeni et al.   REMOTE SENSING OF ENVIRONMENT

Remote Sensing and Cropping Practices: A Review

(2018) Agnès Bégué et al.   Remote Sensing

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

(2017) Jun Xiong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative

(2016) Zhe Zhu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series

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

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

Automated Training Sample Extraction for Global Land Cover Mapping

(2014) Julien Radoux et al.   Remote Sensing

Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota

(2013) Jennifer Corcoran et al.   Remote Sensing

Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

(2012) W. G. Touw et al.   BRIEFINGS IN BIOINFORMATICS

Satellite Image Time Series Analysis Under Time Warping

(2012) François Petitjean et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

(2011) Devis Tuia et al.   IEEE Journal of Selected Topics in Signal Processing

An empirical study of the classification performance of learners on imbalanced and noisy software quality data

(2011) Chris Seiffert et al.   INFORMATION SCIENCES

Knowledge discovery from imbalanced and noisy data

(2009) Jason Van Hulse et al.   DATA & KNOWLEDGE ENGINEERING

Active Learning Methods for Remote Sensing Image Classification

(2009) D. Tuia et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover

(2009) Steffen Fritz et al.   Remote Sensing

Data Visualization With Multidimensional Scaling

(2008) Andreas Buja et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS