Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery

Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series

(2020) Raphaël d’Andrimont et al.   REMOTE SENSING OF ENVIRONMENT

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

(2020) Shiyao Meng et al.   Remote Sensing

Exploring the Spatio-Temporal Dynamics of Winter Rape on the Middle Reaches of Yangtze River Valley Using Time-Series MODIS Data

(2020) Jianbin Tao et al.   Sustainability

Application of rapeseed residue increases soil organic matter, microbial biomass, and enzyme activity and mitigates cadmium pollution risk in paddy fields

(2020) Wentao Yang et al.   ENVIRONMENTAL POLLUTION

Sentinel-1 time series data for monitoring the phenology of winter wheat

(2020) Michael Schlund et al.   REMOTE SENSING OF ENVIRONMENT

Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples

(2020) Pengyu Hao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping crops within the growing season across the United States

(2020) Venkata Shashank Konduri et al.   REMOTE SENSING OF ENVIRONMENT

Phenology-based sample generation for supervised crop type classification

(2020) Mariana Belgiu et al.   International Journal of Applied Earth Observation and Geoinformation

Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network

(2020) Hongyan Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

(2019) Peng Gong et al.   Science Bulletin

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

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

Spatiotemporal Image Fusion in Remote Sensing

(2019) Mariana Belgiu et al.   Remote Sensing

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

(2019) Nima Teimouri et al.   Remote Sensing

Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm

(2019) Haifeng Tian et al.   Remote Sensing

Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

(2019) Shi Qiu et al.   REMOTE SENSING OF ENVIRONMENT

Automatic canola mapping using time series of sentinel 2 images

(2019) Davoud Ashourloo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China

(2019) Jian-bin TAO et al.   Journal of Integrative Agriculture

Remote sensing for agricultural applications: A meta-review

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

Ecological and economic benefits of planting winter rapeseed (Brassica rapa L.) in the wind erosion area of northern China

(2019) Li Ma et al.   Scientific Reports

Source-sink manipulations indicate seed yield in canola is limited by source availability

(2018) Heping Zhang et al.   EUROPEAN JOURNAL OF AGRONOMY

Assessment of atmospheric correction methods for Sentinel-2 images in Mediterranean landscapes

(2018) Ion Sola 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

Land surface phenology: What do we really ‘see’ from space?

(2018) David Helman   SCIENCE OF THE TOTAL ENVIRONMENT

A Regional Mapping Method for Oilseed Rape Based on HSV Transformation and Spectral Features

(2018) Dong Wang et al.   ISPRS International Journal of Geo-Information

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

Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

(2018) Pierre Defourny et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Satellite-based assessment of yield variation and its determinants in smallholder African systems

(2017) Marshall Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model

(2017) Sergii Skakun et al.   REMOTE SENSING OF ENVIRONMENT

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

(2017) Amanda Veloso et al.   REMOTE SENSING OF ENVIRONMENT

National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey

(2017) Xiao-Peng Song et al.   REMOTE SENSING OF ENVIRONMENT

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

(2017) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015

(2017) Geli Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data

(2017) Jian-bin TAO et al.   Journal of Integrative Agriculture

Genome-Wide Association Study Reveals the Genetic Architecture Underlying Salt Tolerance-Related Traits in Rapeseed (Brassica napus L.)

(2017) Heping Wan et al.   Frontiers in Plant Science

Biofuel by isomerizing metathesis of rapeseed oil esters with (bio)ethylene for use in contemporary diesel engines

(2017) Kai F. Pfister et al.   Science Advances

Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

(2016) Sergii Skakun et al.   IEEE Journal of Selected Topics in Applied Earth Observations 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

An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data

(2016) Yang Shao et al.   REMOTE SENSING OF ENVIRONMENT

Spectral considerations for modeling yield of canola

(2016) John J. Sulik et al.   REMOTE SENSING OF ENVIRONMENT

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Remote Estimation of Vegetation Fraction and Flower Fraction in Oilseed Rape with Unmanned Aerial Vehicle Data

(2016) Shenghui Fang et al.   Remote Sensing

Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images

(2015) E. Vaudour et al.   International Journal of Applied Earth Observation and Geoinformation

Global land cover mapping at 30m resolution: A POK-based operational approach

(2015) Jun Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data

(2015) Bao She et al.   Journal of Zhejiang University-SCIENCE B

Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

(2015) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Where to produce rapeseed biodiesel and why? Mapping European rapeseed energy efficiency

(2015) Iris van Duren et al.   RENEWABLE ENERGY

Bringing an ecological view of change to Landsat-based remote sensing

(2014) Robert E Kennedy et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Multi range spectral feature fitting for hyperspectral imagery in extracting oilseed rape planting area

(2013) Zhuokun Pan et al.   International Journal of Applied Earth Observation and Geoinformation

Broad-scale cruciferous weed patch classification in winter wheat using QuickBird imagery for in-season site-specific control

(2013) Ana Isabel de Castro et al.   PRECISION AGRICULTURE

Satellite Image Time Series Analysis Under Time Warping

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

Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data

(2012) Wolfgang Koppe et al.   International Journal of Applied Earth Observation and Geoinformation

Yellow flowers can decrease NDVI and EVI values: evidence from a field experiment in an alpine meadow

(2011) Miaogen Shen et al.   CANADIAN JOURNAL OF REMOTE SENSING

Global trends of rapeseed grain yield stability and rapeseed-to-wheat yield ratio in the last four decades

(2011) Déborah P. Rondanini et al.   EUROPEAN JOURNAL OF AGRONOMY

Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements

(2011) Clement Atzberger et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Food or fuel? What European farmers can contribute to Europe's transport energy requirements and the Doha Round

(2009) Jennifer Baka et al.   ENERGY POLICY

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

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