Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels

Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area

(2021) Chengkang Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rice Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands

(2021) Xueqin Jiang et al.   Remote Sensing

The 10-m crop type maps in Northeast China during 2017–2019

(2021) Nanshan You et al.   Scientific Data

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

(2021) Pengliang Wei et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping Rice Paddy Distribution Using Remote Sensing by Coupling Deep Learning with Phenological Characteristics

(2021) A-Xing Zhu et al.   Remote Sensing

An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine

(2021) Rongguang Ni et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates

(2021) Qiong Hu et al.   REMOTE SENSING OF ENVIRONMENT

AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine

(2021) Gaoxiang Yang et al.   International Journal of Applied Earth Observation and Geoinformation

Pixel-level rice planting information monitoring in Fujin City based on time-series SAR imagery

(2021) Jiatai Pang et al.   International Journal of Applied Earth Observation and Geoinformation

Transferable deep learning model based on the phenological matching principle for mapping crop extent

(2021) Shuang Ge et al.   International Journal of Applied Earth Observation and Geoinformation

Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia

(2021) K.R. Thorp et al.   REMOTE SENSING OF ENVIRONMENT

Towards interpreting multi-temporal deep learning models in crop mapping

(2021) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

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

Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net

(2020) Massimiliano Gargiulo et al.   SENSORS

Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine

(2020) Shimpei Inoue et al.   Remote Sensing

Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability

(2020) Weichun Zhang et al.   Remote Sensing

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

(2020) Zhuokun Pan et al.   Remote Sensing

A novel method for automatic potato mapping using time series of Sentinel-2 images

(2020) Davoud Ashourloo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China

(2020) Li Liu et al.   GIScience & Remote Sensing

Pre-season crop type mapping using deep neural networks

(2020) Raghu Yaramasu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

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

An automated rice mapping method based on flooding signals in synthetic aperture radar time series

(2020) Pei Zhan et al.   REMOTE SENSING OF ENVIRONMENT

A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

(2020) Claudia Paris et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach

(2020) Liang Sun et al.   REMOTE SENSING OF 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

Accuracies of support vector machine and random forest in rice mapping with Sentinel-1A, Landsat-8 and Sentinel-2A datasets

(2019) Lamin R. Mansaray et al.   Geocarto International

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

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

Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France

(2019) Hassan Bazzi et al.   Remote Sensing

High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data

(2019) Mrinal Singha et al.   Scientific Data

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

(2019) Anh Phan et al.   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

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2017) Atharva Sharma et al.   NEURAL NETWORKS

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

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

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

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

(2011) Claire Boryan et al.   Geocarto International