Research graph
References from Sketch and paint: A structural–temporal aware refinement network for fine-grained crop mapping on satellite image time series. Local targets link to admitted publications; unresolved targets remain external evidence.
Sentinel SAR-optical fusion for crop type mapping using deep learning and google earth engine
10.1016/j.isprsjprs.2021.02.018 · 2021 · External reference
Integrating multiscale geospatial analysis for monitoring crop growth, nutrient distribution, and hydrological dynamics in large-scale agricultural systems
10.1007/s41651-023-00164-y · 2024 · External reference
Land suitability and capability analysis for sustainable allocation of agricultural crops and natural plants, northwest Jordan
10.1007/s41651-023-00150-4 · 2024 · External reference
Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs
10.3390/rs5020949 · 2013 · External reference
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
10.1016/j.rse.2017.10.005 · 2018 · External reference
A deep learning architecture for multiscale multimodal multitemporal satellite data fusion
10.1109/jstars.2018.2876357 · 2018 · External reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · 1995 · External reference
Mapping of crop types and crop sequences with combined time series of sentinel-1, sentinel-2 and landsat 8 data for Germany
10.1016/j.rse.2021.112831 · 2022 · External reference
Agricultural policy schemes: European union’s common agricultural policy
10.1016/b978-0-12-818766-1.00253-1 · 2022 · External reference
A dendrite method for cluster analysis
1974 · External reference
Land use classification over smallholding areas in the European common agricultural policy framework
10.1016/j.isprsjprs.2023.02.005 · 2023 · External reference
Sacnet: A novel self-supervised learning method for shadow detection from high-resolution remote sensing images
10.1007/s41651-025-00215-6 · 2025 · External reference
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals
10.1016/j.rse.2020.111796 · 2020 · External reference
Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery
10.52202/068431-0015 · 2022 · External reference
An algorithm for the machine calculation of complex Fourier series
10.1090/s0025-5718-1965-0178586-1 · 1965 · External reference
A cluster separation measure
10.1109/tpami.1979.4766909 · 2009 · External reference
Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-agri automated system in various cropping systems around the world
10.1016/j.rse.2018.11.007 · 2019 · External reference
High-resolution global map of smallholder and industrial closed-canopy oil palm plantations
2020 · External reference
Time series remote sensing image classification using feature relationship learning
10.1109/tgrs.2024.3410022 · 2024 · External reference
Remote sensing image classification using an ensemble framework without multiple classifiers
10.1016/j.isprsjprs.2023.12.012 · 2024 · External reference
Panoptic segmentation of satellite image time series with convolutional temporal attention networks
2021 · External reference
In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series
10.1016/j.isprsjprs.2022.12.005 · 2023 · External reference
Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll
10.1016/s0176-1617(96)80284-7 · 1996 · External reference
10.1109/cvpr52688.2022.01553
10.1109/cvpr52688.2022.01553 · External reference
Grassland mowing event detection using combined optical, SAR, and weather time series
10.1016/j.rse.2023.113680 · 2023 · External reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images
10.3390/rs14184639 · 2022 · External reference
FineCrop: Mapping fine-grained crops using class-aware feature decoupling and parcel-aware class rebalancing with sentinel-2 time series
10.1016/j.isprsjprs.2025.07.041 · 2025 · External reference
AgriFM: A multi-source temporal remote sensing foundation model for agriculture mapping
10.1016/j.rse.2026.115234 · 2026 · External reference
BAFormer: A novel boundary-aware compensation unet-like transformer for high-resolution cropland extraction
10.3390/rs16142526 · 2024 · External reference
A comprehensive deep-learning framework for fine-grained farmland mapping from high-resolution images
2025 · External reference
WPS: A whole phenology-based spectral feature selection method for mapping winter crop from time-series images
10.1016/j.isprsjprs.2024.03.005 · 2024 · External reference
Unresolved reference
2017 · External reference
Vision foundation models in remote sensing: A survey
2025 · External reference
Unresolved reference
External reference
Visualizing data using t-SNE
2008 · External reference
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
10.1016/j.isprsjprs.2020.11.007 · 2021 · External reference
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
10.1145/272991.272995 · 1998 · External reference
A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series
10.1016/j.rse.2024.114385 · 2024 · External reference
Highlighting the role of agriculture and geospatial technology in food security and sustainable development goals
10.1002/sd.2600 · 2023 · External reference
Image transformer
2018 · External reference
High-resolution cropland extraction in shandong province using mpspnet and UNet network
10.11834/jrs.20210478 · 2023 · External reference
Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels
2025 · External reference
SITSMamba for crop classification based on satellite image time series
2025 · External reference
10.1109/wacvw60836.2024.00073
10.1109/wacvw60836.2024.00073 · External reference
U-net: Convolutional networks for biomedical image segmentation
2015 · External reference
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
10.1016/0377-0427(87)90125-7 · 1987 · External reference
Multi-temporal land cover classification with sequential recurrent encoders
10.3390/ijgi7040129 · 2018 · External reference
A method for the analysis of small crop fields in sentinel-2 dense time series
10.1109/tgrs.2019.2953652 · 2019 · External reference
An evaluation of landsat, sentinel-2, sentinel-1 and MODIS data for crop type mapping
2021 · External reference
10.1109/cvpr52729.2023.01004
10.1109/cvpr52729.2023.01004 · External reference
Context-self contrastive pretraining for crop type semantic segmentation
10.1109/tgrs.2022.3198187 · 2022 · External reference
Attention is all you need
2017 · External reference
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using sentinel-2 images
10.1080/15481603.2022.2156123 · 2022 · External reference
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using sentinel-2 imagery
10.1016/j.isprsjprs.2023.04.002 · 2023 · External reference
Unsupervised cross-regional and cross-year adaptation by climate indicator discrepancy for crop classification
10.34133/remotesensing.0439 · 2025 · External reference
No pixel left behind: Toward integrating earth observations for agriculture into the united nations sustainable development goals framework
10.1016/j.rse.2019.111470 · 2019 · External reference
Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations
10.1016/j.rse.2014.10.009 · 2015 · External reference
A dual-branch network for crop-type mapping of scattered small agricultural fields in time series remote sensing images
10.1016/j.rse.2024.114497 · 2025 · External reference
Object-oriented crop classification using time series sentinel images from google earth engine
10.3390/rs15051353 · 2023 · External reference
Visualisation of key thresholds of crop production potential and their future distribution patterns in china under climate change scenarios
10.1007/s41651-025-00234-3 · 2025 · External reference
Robust and timely within-season conterminous United States crop type mapping using landsat sentinel-2 time series and the transformer architecture
10.1016/j.rse.2025.114950 · 2025 · External reference
A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data
2024 · External reference
Deep learning based multi-temporal crop classification
10.1016/j.rse.2018.11.032 · 2019 · External reference
Highlighting the role of agriculture and geospatial technology in food security and sustainable development goals
10.1002/sd.2600 · ExternalCitation · doi-reference
Land suitability and capability analysis for sustainable allocation of agricultural crops and natural plants, northwest Jordan
10.1007/s41651-023-00150-4 · ExternalCitation · doi-reference
Integrating multiscale geospatial analysis for monitoring crop growth, nutrient distribution, and hydrological dynamics in large-scale agricultural systems
10.1007/s41651-023-00164-y · ExternalCitation · doi-reference
Sacnet: A novel self-supervised learning method for shadow detection from high-resolution remote sensing images
10.1007/s41651-025-00215-6 · ExternalCitation · doi-reference
Visualisation of key thresholds of crop production potential and their future distribution patterns in china under climate change scenarios
10.1007/s41651-025-00234-3 · ExternalCitation · doi-reference
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
10.1016/0377-0427(87)90125-7 · ExternalCitation · doi-reference
Agricultural policy schemes: European union’s common agricultural policy
10.1016/b978-0-12-818766-1.00253-1 · ExternalCitation · doi-reference
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
10.1016/j.isprsjprs.2020.11.007 · ExternalCitation · doi-reference
Sentinel SAR-optical fusion for crop type mapping using deep learning and google earth engine
10.1016/j.isprsjprs.2021.02.018 · ExternalCitation · doi-reference
In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series
10.1016/j.isprsjprs.2022.12.005 · ExternalCitation · doi-reference
Land use classification over smallholding areas in the European common agricultural policy framework
10.1016/j.isprsjprs.2023.02.005 · ExternalCitation · doi-reference
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using sentinel-2 imagery
10.1016/j.isprsjprs.2023.04.002 · ExternalCitation · doi-reference
Remote sensing image classification using an ensemble framework without multiple classifiers
10.1016/j.isprsjprs.2023.12.012 · ExternalCitation · doi-reference
WPS: A whole phenology-based spectral feature selection method for mapping winter crop from time-series images
10.1016/j.isprsjprs.2024.03.005 · ExternalCitation · doi-reference
FineCrop: Mapping fine-grained crops using class-aware feature decoupling and parcel-aware class rebalancing with sentinel-2 time series
10.1016/j.isprsjprs.2025.07.041 · ExternalCitation · doi-reference
Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations
10.1016/j.rse.2014.10.009 · ExternalCitation · doi-reference
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
10.1016/j.rse.2017.10.005 · ExternalCitation · doi-reference
Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-agri automated system in various cropping systems around the world
10.1016/j.rse.2018.11.007 · ExternalCitation · doi-reference
Deep learning based multi-temporal crop classification
10.1016/j.rse.2018.11.032 · ExternalCitation · doi-reference
No pixel left behind: Toward integrating earth observations for agriculture into the united nations sustainable development goals framework
10.1016/j.rse.2019.111470 · ExternalCitation · doi-reference
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals
10.1016/j.rse.2020.111796 · ExternalCitation · doi-reference
Mapping of crop types and crop sequences with combined time series of sentinel-1, sentinel-2 and landsat 8 data for Germany
10.1016/j.rse.2021.112831 · ExternalCitation · doi-reference
Grassland mowing event detection using combined optical, SAR, and weather time series
10.1016/j.rse.2023.113680 · ExternalCitation · doi-reference
A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series
10.1016/j.rse.2024.114385 · ExternalCitation · doi-reference
A dual-branch network for crop-type mapping of scattered small agricultural fields in time series remote sensing images
10.1016/j.rse.2024.114497 · ExternalCitation · doi-reference
Robust and timely within-season conterminous United States crop type mapping using landsat sentinel-2 time series and the transformer architecture
10.1016/j.rse.2025.114950 · ExternalCitation · doi-reference
AgriFM: A multi-source temporal remote sensing foundation model for agriculture mapping
10.1016/j.rse.2026.115234 · ExternalCitation · doi-reference
Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll
10.1016/s0176-1617(96)80284-7 · ExternalCitation · doi-reference
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using sentinel-2 images
10.1080/15481603.2022.2156123 · ExternalCitation · doi-reference
An algorithm for the machine calculation of complex Fourier series
10.1090/s0025-5718-1965-0178586-1 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01553
10.1109/cvpr52688.2022.01553 · ExternalCitation · doi-reference
10.1109/cvpr52729.2023.01004
10.1109/cvpr52729.2023.01004 · ExternalCitation · doi-reference
A deep learning architecture for multiscale multimodal multitemporal satellite data fusion
10.1109/jstars.2018.2876357 · ExternalCitation · doi-reference
A method for the analysis of small crop fields in sentinel-2 dense time series
10.1109/tgrs.2019.2953652 · ExternalCitation · doi-reference
Context-self contrastive pretraining for crop type semantic segmentation
10.1109/tgrs.2022.3198187 · ExternalCitation · doi-reference
Time series remote sensing image classification using feature relationship learning
10.1109/tgrs.2024.3410022 · ExternalCitation · doi-reference
A cluster separation measure
10.1109/tpami.1979.4766909 · ExternalCitation · doi-reference
10.1109/wacvw60836.2024.00073
10.1109/wacvw60836.2024.00073 · ExternalCitation · doi-reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · ExternalCitation · doi-reference
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
10.1145/272991.272995 · ExternalCitation · doi-reference
High-resolution cropland extraction in shandong province using mpspnet and UNet network
10.11834/jrs.20210478 · ExternalCitation · doi-reference
Multi-temporal land cover classification with sequential recurrent encoders
10.3390/ijgi7040129 · ExternalCitation · doi-reference
Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images
10.3390/rs14184639 · ExternalCitation · doi-reference
Object-oriented crop classification using time series sentinel images from google earth engine
10.3390/rs15051353 · ExternalCitation · doi-reference
BAFormer: A novel boundary-aware compensation unet-like transformer for high-resolution cropland extraction
10.3390/rs16142526 · ExternalCitation · doi-reference
Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs
10.3390/rs5020949 · ExternalCitation · doi-reference
Unsupervised cross-regional and cross-year adaptation by climate indicator discrepancy for crop classification
10.34133/remotesensing.0439 · ExternalCitation · doi-reference
Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery
10.52202/068431-0015 · ExternalCitation · doi-reference
