Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China

Cropland Product Fusion Method Based on the Overall Consistency Difference: A Case Study of China

(2019) Yanfei Zhong et al.   Remote Sensing

Innovative pheno-network model in estimating crop phenological stages with satellite time series

(2019) Chunyuan Diao   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models

(2019) Sergii Skakun et al.   Remote Sensing

A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series

(2019) Qiong Hu et al.   International Journal of Applied Earth Observation and Geoinformation

Super-Resolution Land Cover Mapping Based on the Convolutional Neural Network

(2019) Jia et al.   Remote Sensing

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Assessing the impact of the MRBI program in a data limited Arkansas watershed using the SWAT model

(2018) Mansoor D.K. Leh et al.   AGRICULTURAL WATER MANAGEMENT

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

(2018) Yaping Cai et al.   REMOTE SENSING OF ENVIRONMENT

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

A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images

(2018) Ali Nasrallah et al.   SENSORS

Estimation of different data compositions for early-season crop type classification

(2018) Pengyu Hao et al.   PeerJ

Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

(2018) Patrick Griffiths et al.   REMOTE SENSING OF ENVIRONMENT

Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

(2018) Kristof Van Tricht et al.   Remote Sensing

Deep learning based multi-temporal crop classification

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

A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping

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

Automated mapping of soybean and corn using phenology

(2016) Liheng Zhong 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

A comparative analysis of five global cropland datasets in China

(2016) Miao Lu et al.   Science China-Earth Sciences

Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas

(2016) Isaque Eberhardt et al.   Remote Sensing

A support vector machine to identify irrigated crop types using time-series Landsat NDVI data

(2015) Baojuan Zheng et al.   International Journal of Applied Earth Observation and Geoinformation

Generating global crop distribution maps: From census to grid

(2014) Liangzhi You et al.   AGRICULTURAL SYSTEMS

The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China

(2014) Pengyu Hao et al.   Remote Sensing

Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests

(2013) Haiyan Guan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A new variable selection approach using Random Forests

(2012) A. Hapfelmeier et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Crop type mapping using spectral–temporal profiles and phenological information

(2012) Saskia Foerster et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Satellite Image Time Series Analysis Under Time Warping

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

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Estimating Global Cropland Extent with Multi-year MODIS Data

(2010) Kyle Pittman et al.   Remote Sensing

Global Croplands and their Importance for Water and Food Security in the Twenty-first Century: Towards an Ever Green Revolution that Combines a Second Green Revolution with a Blue Revolution

(2010) Prasad S. Thenkabail   Remote Sensing

An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter-annual change

(2009) Roland A. Geerken   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

(2009) Mark A. Friedl et al.   REMOTE SENSING OF ENVIRONMENT

Estimating crop water stress with ETM+ NIR and SWIR data

(2008) Abduwasit Ghulam et al.   AGRICULTURAL AND FOREST METEOROLOGY