Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020

Mapping Paddy Rice Distribution and Cropping Intensity in China from 2014 to 2019 with Landsat Images, Effective Flood Signals, and Google Earth Engine

(2022) Jun Wei et al.   Remote Sensing

Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020

(2022) Jichong Han et al.   AGRICULTURAL SYSTEMS

Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm

(2022) Li Lin et al.   Scientific Data

Historical mapping of rice fields in Japan using phenology and temporally aggregated Landsat images in Google Earth Engine

(2022) Luis Carrasco et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

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

(2021) Nanshan You et al.   Scientific Data

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

Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images

(2021) Lele Wei et al.   Remote Sensing

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

Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia

(2020) Geli Zhang et al.   Nature Communications

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

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

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

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

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

(2019) Mrinal Singha et al.   Scientific Data

Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015

(2018) Jia Ning et al.   Journal of Geographical Sciences

Object-based rice mapping using time-series and phenological data

(2018) Meng Zhang et al.   ADVANCES IN SPACE RESEARCH

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

Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification

(2017) Hankui K. Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Cloud detection algorithm comparison and validation for operational Landsat data products

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

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick 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

How do temporal and spectral features matter in crop classification in Heilongjiang Province, China?

(2017) Qiong HU et al.   Journal of Integrative Agriculture

Northward expansion of paddy rice in northeastern Asia during 2000-2014

(2016) J. Dong et al.   GEOPHYSICAL RESEARCH LETTERS

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY 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

Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data

(2015) Kenichi Tatsumi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Mapping paddy rice areas based on vegetation phenology and surface moisture conditions

(2015) Bingwen Qiu et al.   ECOLOGICAL INDICATORS

Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data

(2015) Caitlin Kontgis et al.   REMOTE SENSING OF ENVIRONMENT

Development of Variable Threshold Models for detection of irrigated paddy rice fields and irrigation timing in heterogeneous land cover

(2012) S. Jeong et al.   AGRICULTURAL WATER MANAGEMENT

Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

(2012) Yang Shao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation

(2012) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

(2011) Jin Chen et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing of crop residue cover using multi-temporal Landsat imagery

(2011) Baojuan Zheng et al.   REMOTE SENSING OF ENVIRONMENT

Spectral Reflectance of Wheat Residue during Decomposition and Remotely Sensed Estimates of Residue Cover

(2010) Craig S. Daughtry et al.   Remote Sensing

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

(2009) Gyanesh Chander et al.   REMOTE SENSING OF ENVIRONMENT

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

(2009) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

The effect of spatial autocorrelation and class proportion on the accuracy measures from different sampling designs

(2008) DongMei Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING