Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series

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

(2022) Pengliang Wei et al.   Remote Sensing

Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting

(2021) Kasper Johansen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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 Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine

(2021) Li Pan et al.   Remote Sensing

Semantic Segmentation Based on Temporal Features: Learning of Temporal–Spatial Information From Time-Series SAR Images for Paddy Rice Mapping

(2021) Lingbo Yang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Towards interpreting multi-temporal deep learning models in crop mapping

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

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

(2020) Nanshan You et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery

(2020) Feng Gao 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

Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images

(2020) Jie Wang 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

SAR data for tropical forest disturbance alerts in French Guiana: Benefit over optical imagery

(2020) Marie Ballère et al.   REMOTE SENSING OF ENVIRONMENT

When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation

(2020) Chenwei Wang et al.   Remote Sensing

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

(2019) Sisi Wei et al.   Remote Sensing

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

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

A comparison of object-based image analysis approaches for field boundary delineation using multi-temporal Sentinel-2 imagery

(2019) Barry Watkins et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An Improved Approach Considering Intraclass Variability for Mapping Winter Wheat Using Multitemporal MODIS EVI Images

(2019) Yang et al.   Remote Sensing

Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping

(2019) C. Persello et al.   REMOTE SENSING OF ENVIRONMENT

Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction

(2019) Xiaoyan Lu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas, US

(2019) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

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

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture

(2019) Dino Ienco et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Land-cover classification with high-resolution remote sensing images using transferable deep models

(2019) Xin-Yi Tong et al.   REMOTE SENSING OF ENVIRONMENT

Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1

(2018) Dinh Ho Tong Minh et al.   IEEE Geoscience and Remote Sensing Letters

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

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

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

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

Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations

(2017) Tyler J. Lark et al.   International Journal of Applied Earth Observation and Geoinformation

MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

(2017) Richard Massey et al.   REMOTE SENSING OF ENVIRONMENT

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

A multi-resolution approach to national-scale cultivated area estimation of soybean

(2017) LeeAnn King 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

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

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 paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

(2015) Geli Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Multitask Remote Sensing Data Classification

(2012) Jose M. Leiva-Murillo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Remote sensing of rice crop areas

(2012) Claudia Kuenzer et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

GMES Sentinel-1 mission

(2012) Ramon Torres 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