Phenology-Based Rice Paddy Mapping Using Multi-Source Satellite Imagery and a Fusion Algorithm Applied to the Poyang Lake Plain, Southern China

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

(2019) Mrinal Singha et al.   Scientific Data

Are There Sufficient Landsat Observations for Retrospective and Continuous Monitoring of Land Cover Changes in China?

(2019) Zhou et al.   Remote Sensing

Mapping Paddy Rice Planting Area in Northeastern China Using Spatiotemporal Data Fusion and Phenology-Based Method

(2019) Qi Yin et al.   Remote Sensing

Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics

(2019) Shuang Zhao et al.   GIScience & Remote Sensing

Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain

(2019) Hassan Bazzi et al.   Remote Sensing

Paddy rice multiple cropping index changes in Southern China

(2019) Min Jiang et al.   Journal of Geographical Sciences

Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities

(2018) Alex Okiemute Onojeghuo et al.   International Journal of Applied Earth Observation and Geoinformation

Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China

(2018) Haifeng Tian et al.   SENSORS

Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI

(2018) Peng Li et al.   IEEE Geoscience and Remote Sensing Letters

A Rice Mapping Method Based on Time-Series Landsat Data for the Extraction of Growth Period Characteristics

(2018) Jing Liao et al.   Sustainability

Regional scale mapping of fractional rice cropping change using a phenology-based temporal mixture analysis

(2018) Zhenhuan Liu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An Unsupervised Classification Algorithm for Multi-Temporal Irrigated Area Mapping in Central Asia

(2018) Silvan Ragettli et al.   Remote Sensing

Decreasing Rice Cropping Intensity in Southern China from 1990 to 2015

(2018) Min Jiang et al.   Remote Sensing

Mapping paddy rice in Jiangsu Province, China, based on phenological parameters and a decision tree model

(2018) Jianhong Liu et al.   Frontiers of Earth Science

Improving the mapping of crop types in the Midwestern U.S. by fusing Landsat and MODIS satellite data

(2017) Likai Zhu et al.   International Journal of Applied Earth Observation and Geoinformation

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

High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data

(2017) Le Li et al.   Remote Sensing

Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images

(2016) Yuting Zhou et al.   International Journal of Applied Earth Observation and Geoinformation

Evolution of regional to global paddy rice mapping methods: A review

(2016) Jinwei Dong 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

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

(2016) Neha Joshi et al.   Remote Sensing

A generalization of spatial and temporal fusion methods for remotely sensed surface parameters

(2015) Hankui K. Zhang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery

(2015) Yuanwei Qin et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

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

Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data

(2015) Qingting Li et al.   Remote Sensing

A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest

(2014) Liang Liang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes

(2014) Bo Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

(2014) Jiyuan Liu et al.   Journal of Geographical Sciences

Rice by the numbers: A good grain

(2014) Emily Elert   NATURE

Unified fusion of remote-sensing imagery: generating simultaneously high-resolution synthetic spatial–temporal–spectral earth observations

(2013) Bo Huang et al.   Remote Sensing Letters

Changes in rice cropping systems in the Poyang Lake Region, China during 2004–2010

(2012) Peng Li et al.   Journal of Geographical Sciences

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

Primary forests are irreplaceable for sustaining tropical biodiversity

(2011) Luke Gibson et al.   NATURE

Solutions for a cultivated planet

(2011) Jonathan A. Foley et al.   NATURE

Object-based cloud and cloud shadow detection in Landsat imagery

(2011) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

China’s wetland change (1990–2000) determined by remote sensing

(2010) Peng Gong et al.   Science China-Earth Sciences

A Simple Algorithm for Large-Scale Mapping of Evergreen Forests in Tropical America, Africa and Asia

(2009) Xiangming Xiao et al.   Remote Sensing