Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model

Aerial image semantic segmentation using DCNN predicted distance maps

(2020) Dengfeng Chai et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks

(2020) Chunping Qiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net

(2020) Zhuokun Pan et al.   Remote Sensing

Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping

(2020) Laura Dingle Robertson et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations

(2020) Zhaohua Chen et al.   REMOTE SENSING OF ENVIRONMENT

A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

(2020) Dujuan Zhang et al.   REMOTE SENSING OF ENVIRONMENT

DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

(2020) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

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

Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model

(2019) Sisi Wei et al.   Remote Sensing

Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform

(2019) Fuyou Tian et al.   Remote Sensing

Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

(2019) Dengfeng Chai et al.   REMOTE SENSING OF ENVIRONMENT

On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data

(2019) Qinghua Xie et al.   Remote Sensing

Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data

(2019) Ya’nan Zhou et al.   GIScience & Remote Sensing

Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids

(2019) Ning Yang et al.   Remote Sensing

Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud

(2019) Adam J. Oliphant et al.   International Journal of Applied Earth Observation and Geoinformation

Rapid Assessment of Flood Inundation and Damaged Rice Area in Red River Delta from Sentinel 1A Imagery

(2019) Anh Phan et al.   Remote Sensing

Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China

(2019) Hongwei Zhao et al.   Remote Sensing

An implicit radar convolutional burn index for burnt area mapping with Sentinel-1 C-band SAR data

(2019) Puzhao Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

(2019) Luo Liu et al.   REMOTE SENSING OF ENVIRONMENT

Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data

(2019) Leandro Parente et al.   Remote Sensing

Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data

(2019) James Brinkhoff et al.   Remote Sensing

PolSAR Image Classification Using Polarimetric-Feature-Driven Deep Convolutional Neural Network

(2018) Si-Wei Chen et al.   IEEE Geoscience and Remote Sensing Letters

Mapping Double and Single Crop Paddy Rice With Sentinel-1A at Varying Spatial Scales and Polarizations in Hanoi, Vietnam

(2018) Kristofer Lasko et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Crop Classification Based on Differential Characteristics of H/α Scattering Parameters for Multitemporal Quad- and Dual-Polarization SAR Images

(2018) Jiao Guo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning

(2018) Rui Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery

(2018) Nataliia Kussul et al.   European Journal of Remote Sensing

Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine

(2018) Dipankar Mandal et al.   IEEE Geoscience and Remote Sensing Letters

A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification

(2018) Siddharth Hariharan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China

(2018) Meng Zhang et al.   Remote Sensing

Automatic Fruit Classification Using Deep Learning for Industrial Applications

(2018) M. Shamim Hossain et al.   IEEE Transactions on Industrial Informatics

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A patch-based convolutional neural network for remote sensing image classification

(2017) Atharva Sharma et al.   NEURAL NETWORKS

A new method for crop classification combining time series of radar images and crop phenology information

(2017) Damian Bargiel   REMOTE SENSING OF ENVIRONMENT

Cloud detection algorithm comparison and validation for operational Landsat data products

(2017) Steve Foga et al.   REMOTE SENSING OF ENVIRONMENT

Automatic and adaptive paddy rice mapping using Landsat images: Case study in Songnen Plain in Northeast China

(2017) Bingwen Qiu et al.   SCIENCE OF THE TOTAL 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

Rice Mapping Using RADARSAT-2 Dual- and Quad-Pol Data in a Complex Land-Use Watershed: Cau River Basin (Vietnam)

(2016) Huong Kim Hoang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

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

Crop Classification Based on Feature Band Set Construction and Object-Oriented Approach Using Hyperspectral Images

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

A Complete Procedure for Crop Phenology Estimation With PolSAR Data Based on the Complex Wishart Classifier

(2016) Lucio Mascolo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data

(2016) Duy Ba Nguyen et al.   Remote Sensing Letters

Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data

(2015) Phuong Dao 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

Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand

(2013) N.T. Son et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species

(2012) Saleem Ullah et al.   SENSORS

Crop Classification Using Short-Revisit Multitemporal SAR Data

(2011) Henning Skriver et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Rice heading date retrieval based on multi-temporal MODIS data and polynomial fitting

(2011) Hongshuo Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Monitoring of the Rice Cropping System in the Mekong Delta Using ENVISAT/ASAR Dual Polarization Data

(2009) A. Bouvet et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING