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Feature extraction, Image resolution, Instruments, Earth, Clouds,
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3D U-Net, Denoising neural networks, Sentinel-1, Sentinel-2, Data fusion
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Classifier ensemble, Land cover, Feature selection, West Africa, Seasonal change
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GRD SAR, Dual-pol, Phenology, Unsupervised clustering, GEE, Sentinel-1
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Valero, S.[Silvia],
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2112
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Sobe, C.[Carina],
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2112
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Sun, Y.[Yuanheng],
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IEEE DOI
2112
Spatial resolution, MODIS, Monitoring, Land surface, Training,
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Crop Yield Estimation at Field Scales by Assimilating Time Series of
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IEEE DOI
2112
Agriculture, Biological system modeling, Data models, Soil,
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2112
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Kacic, P.[Patrick],
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Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure
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DOI Link
2112
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Reuß, F.[Felix],
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2112
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Li, M.[Miao],
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Monitoring Post-Flood Recovery of Croplands Using the Integrated
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RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Seydi, S.T.[Seyd Teymoor],
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A Dual Attention Convolutional Neural Network for Crop Classification
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2202
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Ghassemi, B.[Babak],
Dujakovic, A.[Aleksandar],
Zóltak, M.[Mateusz],
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Atzberger, C.[Clement],
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Designing a European-Wide Crop Type Mapping Approach Based on Machine
Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Ren, T.T.[Ting-Ting],
Xu, H.T.[Hong-Tao],
Cai, X.[Xiumin],
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Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous
Areas with Sentinel-1/2 Imagery,
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2202
BibRef
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Huang, J.[Jinliang],
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Mapping Plant Diversity Based on Combined SENTINEL-1/2 Data:
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2202
BibRef
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RS(14), No. 4, 2022, pp. xx-yy.
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2202
BibRef
Snevajs, H.[Herman],
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Seidlova, J.[Jana],
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Crop Detection Using Time Series of Sentinel-2 and Sentinel-1 and
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RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Upadhyay, P.[Priti],
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Michie, C.[Craig],
Atkinson, R.[Robert],
Papadopoulou, N.[Nikela],
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A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1
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2203
BibRef
Kluczek, M.[Marcin],
Zagajewski, B.[Bogdan],
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Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images
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RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Guo, Z.W.[Zheng-Wei],
Qi, W.W.[Wen-Wen],
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Zhao, J.H.[Jian-Hui],
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Koo, V.C.[Voon-Chet],
Li, N.[Ning],
Identification of Crop Type Based on C-AENN Using Time Series
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2204
BibRef
Orynbaikyzy, A.[Aiym],
Gessner, U.[Ursula],
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Spatial Transferability of Random Forest Models for Crop Type
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DOI Link
2204
BibRef
Camalan, S.[Seda],
Cui, K.[Kangning],
Pauca, V.P.[Victor Paul],
Alqahtani, S.[Sarra],
Silman, M.[Miles],
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Plemmons, R.J.[Robert Jame],
Dethier, E.N.[Evan Nylen],
Fernandez, L.E.[Luis E.],
Lutz, D.A.[David A.],
Change Detection of Amazonian Alluvial Gold Mining Using Deep
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RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Wei, M.F.[Meng-Fan],
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Investigating the Potential of Sentinel-2 MSI in Early Crop
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RS(14), No. 8, 2022, pp. xx-yy.
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2205
BibRef
Costa, H.[Hugo],
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Spatially Stratified and Multi-Stage Approach for National Land Cover
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RS(14), No. 8, 2022, pp. xx-yy.
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2205
BibRef
Tuvdendorj, B.[Battsetseg],
Zeng, H.W.[Hong-Wei],
Wu, B.F.[Bing-Fang],
Elnashar, A.[Abdelrazek],
Zhang, M.[Miao],
Tian, F.[Fuyou],
Nabil, M.[Mohsen],
Nanzad, L.[Lkhagvadorj],
Bulkhbai, A.[Amanjol],
Natsagdorj, N.[Natsagsuren],
Performance and the Optimal Integration of Sentinel-1/2 Time-Series
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DOI Link
2205
BibRef
Amin, E.[Eatidal],
Belda, S.[Santiago],
Pipia, L.[Luca],
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Baroudy, A.E.[Ahmed El],
Moreno, J.[José],
Verrelst, J.[Jochem],
Multi-Season Phenology Mapping of Nile Delta Croplands Using Time
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2205
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Marshall, M.[Michael],
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Field-level crop yield estimation with PRISMA and Sentinel-2,
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Elsevier DOI
2205
Agriculture, Imaging spectroscopy, Hyperspectral,
Remote sensing, Machine learning, Random forest
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Landrieu, L.[Loic],
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Elsevier DOI
2205
Deep learning, Temporal attention, Multi-temporal fusion,
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Li, X.[Xinyi],
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Meng, H.M.[Hui-Min],
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A Novel Efficient Method for Land Cover Classification in Fragmented
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RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Inglada, J.[Jordi],
Michel, J.[Julien],
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Assessment of the Usefulness of Spectral Bands for the Next
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RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zou, X.C.[Xiao-Chen],
Zhu, S.[Sunan],
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Estimation of Canopy Structure of Field Crops Using Sentinel-2 Bands
with Vegetation Indices and Machine Learning Algorithms,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Combs, T.P.[Truman P.],
Didan, K.[Kamel],
Dierig, D.[David],
Jarchow, C.J.[Christopher J.],
Barreto-Muńoz, A.[Armando],
Estimating Productivity Measures in Guayule Using UAS Imagery and
Sentinel-2 Satellite Data,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Yao, J.Y.[Jun-Yuan],
Jin, S.G.[Shuang-Gen],
Multi-Category Segmentation of Sentinel-2 Images Based on the Swin
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RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Layegh, N.F.[Nasir Farsad],
Darvishzadeh, R.[Roshanak],
Skidmore, A.K.[Andrew K.],
Persello, C.[Claudio],
Krüger, N.[Nina],
Integrating Semi-Supervised Learning with an Expert System for
Vegetation Cover Classification Using Sentinel-2 and RapidEye Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Gimenez, R.[Rollin],
Lassalle, G.[Guillaume],
Elger, A.[Arnaud],
Dubucq, D.[Dominique],
Credoz, A.[Anthony],
Fabre, S.[Sophie],
Mapping Plant Species in a Former Industrial Site Using Airborne
Hyperspectral and Time Series of Sentinel-2 Data Sets,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
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Henits, L.[László],
Szerletics, Á.[Ákos],
Szokol, D.[Dávid],
Szlovák, G.[Gergely],
Gojdár, E.[Emese],
Zlinszky, A.[András],
Sentinel-2 Enables Nationwide Monitoring of Single Area Payment
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RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Kganyago, M.[Mahlatse],
Adjorlolo, C.[Clement],
Mhangara, P.[Paidamwoyo],
Exploring Transferable Techniques to Retrieve Crop Biophysical and
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RS(14), No. 16, 2022, pp. xx-yy.
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2208
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Yli-Heikkila, M.[Maria],
Wittke, S.[Samantha],
Luotamo, M.[Markku],
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Sulkava, M.[Mika],
Pellikka, P.[Petri],
Heiskanen, J.[Janne],
Klami, A.[Arto],
Scalable Crop Yield Prediction with Sentinel-2 Time Series and
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RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Psiroukis, V.[Vasilis],
Darra, N.[Nicoleta],
Kasimati, A.[Aikaterini],
Trojacek, P.[Pavel],
Hasanli, G.[Gunay],
Fountas, S.[Spyros],
Development of a Multi-Scale Tomato Yield Prediction Model in
Azerbaijan Using Spectral Indices from Sentinel-2 Imagery,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Li, M.[Minhui],
Shamshiri, R.R.[Redmond R.],
Weltzien, C.[Cornelia],
Schirrmann, M.[Michael],
Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A
Comparison Case Study in Northeastern Germany,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Xie, G.Y.[Guan-Yao],
Niculescu, S.[Simona],
Mapping Crop Types Using Sentinel-2 Data Machine Learning and
Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in
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RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Mohammadpour, P.[Pegah],
Viegas, D.X.[Domingos Xavier],
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Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM
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RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wang, Z.Q.[Zi-Qiao],
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He, W.[Wei],
Zhang, L.P.[Liang-Pei],
Cross-phenological-region crop mapping framework using Sentinel-2
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Elsevier DOI
2210
Crop mapping, Sentinel-2 time series, Winter crops, Cross-phenological-region
BibRef
Cherif, E.[Eya],
Hell, M.[Maximilian],
Brandmeier, M.[Melanie],
DeepForest: Novel Deep Learning Models for Land Use and Land Cover
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RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Liu, Y.[Yage],
Li, H.D.[Hui-Dong],
Wu, M.C.[Min-Chao],
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Wu, J.B.[Jia-Bing],
Guan, D.X.[De-Xin],
Estimating the Legacy Effect of Post-Cutting Shelterbelt on Crop
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RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
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Specific Alpine Environment Land Cover Classification Methodology:
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Vegetation Mapping of Sentinel-1 and 2 Satellite Images Using
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1712
crops, regression analysis, soil, time series, vegetation mapping,
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Sekertekin, A.,
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1712
crops, remote sensing by radar, synthetic aperture radar,
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Abdikan, S.,
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Assessment of ALOS PALSAR 25-m mosaic data for land cover mapping,
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1712
land cover, synthetic aperture radar, vegetation mapping,
AD 2010 to 2015, GlobeLand30 global data product, Istanbul, JAXA,
land cover
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Abdikan, S.,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Cover, Land Use Change Analysis for Radar and SAR .