22.2.10.1 Sentinel-1, -2, -3 for Land Cover, Remote Sensing

Chapter Contents (Back)
Classification. Sentinel.
See also Super Resolution for Sentinel Sensors.

Verrelst, J., Rivera, J.P., Leonenko, G., Alonso, L., Moreno, J.,
Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions,
GeoRS(52), No. 1, January 2014, pp. 257-269.
IEEE DOI 1402
remote sensing BibRef

Verrelst, J.[Jochem], Rivera, J.P.[Juan Pablo], Veroustraete, F.[Frank], Muńoz-Marí, J.[Jordi], Clevers, J.G.P.W.[Jan G.P.W.], Camps-Valls, G.[Gustau], Moreno, J.[José],
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods: A comparison,
PandRS(108), No. 1, 2015, pp. 260-272.
Elsevier DOI 1511
Biophysical variables BibRef

Xiong, J.[Jun], Thenkabail, P.S.[Prasad S.], Tilton, J.C.[James C.], Gumma, M.K.[Murali K.], Teluguntla, P.[Pardhasaradhi], Oliphant, A.[Adam], Congalton, R.G.[Russell G.], Yadav, K.[Kamini], Gorelick, N.[Noel],
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Zheng, H.R.[Hong-Rui], Du, P.J.[Pei-Jun], Chen, J.[Jike], Xia, J.S.[Jun-Shi], Li, E.[Erzhu], Xu, Z.G.[Zhi-Gang], Li, X.J.[Xiao-Juan], Yokoya, N.[Naoto],
Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Kanjir, U.[Urška], Đuric, N.[Nataša], Veljanovski, T.[Tatjana],
Sentinel-2 Based Temporal Detection of Agricultural Land Use Anomalies in Support of Common Agricultural Policy Monitoring,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Vreugdenhil, M.[Mariette], Wagner, W.[Wolfgang], Bauer-Marschallinger, B.[Bernhard], Pfeil, I.[Isabella], Teubner, I.[Irene], Rüdiger, C.[Christoph], Strauss, P.[Peter],
Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Sitokonstantinou, V.[Vasileios], Papoutsis, I.[Ioannis], Kontoes, C.[Charalampos], Arnal, A.L.[Alberto Lafarga], Andrés, A.P.A.[Ana Pilar Armesto], Zurbano, J.A.G.[José Angel Garraza],
Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Scarpa, G.[Giuseppe], Gargiulo, M.[Massimiliano], Mazza, A.[Antonio], Gaetano, R.[Raffaele],
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
SAR data. BibRef

van Tricht, K.[Kristof], Gobin, A.[Anne], Gilliams, S.[Sven], Piccard, I.[Isabelle],
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Denize, J.[Julien], Hubert-Moy, L.[Laurence], Betbeder, J.[Julie], Corgne, S.[Samuel], Baudry, J.[Jacques], Pottier, E.[Eric],
Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Xu, L.[Lu], Zhang, H.[Hong], Wang, C.[Chao], Zhang, B.[Bo], Liu, M.[Meng],
Crop Classification Based on Temporal Information Using Sentinel-1 SAR Time-Series Data,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Harfenmeister, K.[Katharina], Spengler, D.[Daniel], Weltzien, C.[Cornelia],
Analyzing Temporal and Spatial Characteristics of Crop Parameters Using Sentinel-1 Backscatter Data,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Djamai, N.[Najib], Zhong, D.[Detang], Fernandes, R.[Richard], Zhou, F.[Fuqun],
Evaluation of Vegetation Biophysical Variables Time Series Derived from Synthetic Sentinel-2 Images,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Khabbazan, S.[Saeed], Vermunt, P.[Paul], Steele-Dunne, S.[Susan], Arntz, L.R.[Lexy Ratering], Marinetti, C.[Caterina], van der Valk, D.[Dirk], Iannini, L.[Lorenzo], Molijn, R.[Ramses], Westerdijk, K.[Kees], van der Sande, C.[Corné],
Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Sonobe, R.[Rei],
Combining ASNARO-2 XSAR HH and Sentinel-1 C-SAR VH/VV Polarization Data for Improved Crop Mapping,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Kavats, O.[Olena], Khramov, D.[Dmitriy], Sergieieva, K.[Kateryna], Vasyliev, V.[Volodymyr],
Monitoring Harvesting by Time Series of Sentinel-1 SAR Data,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zhao, L.C.[Li-Cheng], Shi, Y.[Yun], Liu, B.[Bin], Hovis, C.[Ciara], Duan, Y.L.[Yu-Lin], Shi, Z.C.[Zhong-Chao],
Finer Classification of Crops by Fusing UAV Images and Sentinel-2A Data,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Ashourloo, D.[Davoud], Shahrabi, H.S.[Hamid Salehi], Azadbakht, M.[Mohsen], Aghighi, H.[Hossein], Nematollahi, H.[Hamed], Alimohammadi, A.[Abbas], Matkan, A.A.[Ali Akbar],
Automatic canola mapping using time series of sentinel 2 images,
PandRS(156), 2019, pp. 63-76.
Elsevier DOI 1909
Precision agriculture, Canola, Flowering date, Automatic crop mapping, Spectral index, Sentinel-2 time-series BibRef

Brinkhoff, J.[James], Vardanega, J.[Justin], Robson, A.J.[Andrew J.],
Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Csillik, O.[Ovidiu], Belgiu, M.[Mariana], Asner, G.P.[Gregory P.], Kelly, M.[Maggi],
Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Prasad, K.A.[Kumar Arun], Ottinger, M.[Marco], Wei, C.Z.[Chun-Zhu], Leinenkugel, P.[Patrick],
Assessment of Coastal Aquaculture for India from Sentinel-1 SAR Time Series,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Shendryk, Y.[Yuri], Rist, Y.[Yannik], Ticehurst, C.[Catherine], Thorburn, P.[Peter],
Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery,
PandRS(157), 2019, pp. 124-136.
Elsevier DOI 1911
Deep learning, CNN, Multi-label, Multi-modal, Indexing, Scene classification, PlanetScope, Sentinel-2, Remote sensing, MACCS BibRef

Wakulinska, M.[Martyna], Marcinkowska-Ochtyra, A.[Adriana],
Multi-Temporal Sentinel-2 Data in Classification of Mountain Vegetation,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Ding, Y.L.[Yan-Ling], Zhang, H.Y.[Hong-Yan], Wang, Z.Q.[Zhong-Qiang], Xie, Q.Y.[Qiao-Yun], Wang, Y.Q.[Ye-Qiao], Liu, L.[Lin], Hall, C.C.[Christopher C.],
A Comparison of Estimating Crop Residue Cover from Sentinel-2 Data Using Empirical Regressions and Machine Learning Methods,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Akbari, E.[Elahe], Boloorani, A.D.[Ali Darvishi], Samany, N.N.[Najmeh Neysani], Hamzeh, S.[Saeid], Soufizadeh, S.[Saeid], Pignatti, S.[Stefano],
Crop Mapping Using Random Forest and Particle Swarm Optimization Based on Multi-Temporal Sentinel-2,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Chakhar, A.[Amal], Ortega-Terol, D.[Damián], Hernández-López, D.[David], Ballesteros, R.[Rocío], Ortega, J.F.[José F.], Moreno, M.A.[Miguel A.],
Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Silva-Perez, C.[Cristian], Marino, A.[Armando], Cameron, I.[Iain],
Monitoring Agricultural Fields Using Sentinel-1 and Temperature Data in Peru: Case Study of Asparagus (Asparagus officinalis L.),
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Rezník, T.[Tomáš], Pavelka, T.[Tomáš], Herman, L.[Lukáš], Lukas, V.[Vojtech], Širucek, P.[Petr], Leitgeb, Š.[Šimon], Leitner, F.[Filip],
Prediction of Yield Productivity Zones from Landsat 8 and Sentinel-2A/B and Their Evaluation Using Farm Machinery Measurements,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Vreugdenhil, M.[Mariette], Navacchi, C.[Claudio], Bauer-Marschallinger, B.[Bernhard], Hahn, S.[Sebastian], Steele-Dunne, S.[Susan], Pfeil, I.[Isabella], Dorigo, W.[Wouter], Wagner, W.[Wolfgang],
Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Sun, L.[Luyi], Chen, J.S.[Jin-Song], Guo, S.[Shanxin], Deng, X.[Xinping], Han, Y.[Yu],
Integration of Time Series Sentinel-1 and Sentinel-2 Imagery for Crop Type Mapping over Oasis Agricultural Areas,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Stromann, O.[Oliver], Nascetti, A.[Andrea], Yousif, O.[Osama], Ban, Y.[Yifang],
Dimensionality Reduction and Feature Selection for Object-Based Land Cover Classification based on Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Ma, L.[Lei], Schmitt, M.[Michael], Zhu, X.X.[Xiao-Xiang],
Uncertainty Analysis of Object-Based Land-Cover Classification Using Sentinel-2 Time-Series Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Malinowski, R.[Radek], Lewinski, S.[Stanislaw], Rybicki, M.[Marcin], Gromny, E.[Ewa], Jenerowicz, M.[Malgorzata], Krupinski, M.[Michal], Nowakowski, A.[Artur], Wojtkowski, C.[Cezary], Krupinski, M.[Marcin], Krätzschmar, E.[Elke], Schauer, P.[Peter],
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Rumora, L.[Luka], Miler, M.[Mario], Medak, D.[Damir],
Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Nguyen, H.T.T.[Huong Thi Thanh], Doan, T.M.[Trung Minh], Tomppo, E.[Erkki], McRoberts, R.E.[Ronald E.],
Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods: A Case Study from Dak Nong, Vietnam,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Vasilakos, C.[Christos], Kavroudakis, D.[Dimitris], Georganta, A.[Aikaterini],
Machine Learning Classification Ensemble of Multitemporal Sentinel-2 Images: The Case of a Mixed Mediterranean Ecosystem,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Phiri, D.[Darius], Simwanda, M.[Matamyo], Salekin, S.[Serajis], Nyirenda, V.R.[Vincent R.], Murayama, Y.[Yuji], Ranagalage, M.[Manjula],
Sentinel-2 Data for Land Cover/Use Mapping: A Review,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Qu, Y.[Yang], Zhao, W.Z.[Wen-Zhi], Yuan, Z.L.[Zhan-Liang], Chen, J.[Jiage],
Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Holtgrave, A.K.[Ann-Kathrin], Röder, N.[Norbert], Ackermann, A.[Andrea], Erasmi, S.[Stefan], Kleinschmit, B.[Birgit],
Comparing Sentinel-1 and -2 Data and Indices for Agricultural Land Use Monitoring,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Yi, Z.W.[Zhi-Wei], Jia, L.[Li], Chen, Q.[Qiting],
Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Chakhar, A.[Amal], Hernández-López, D.[David], Ballesteros, R.[Rocío], Moreno, M.A.[Miguel A.],
Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Luo, X., Tong, X., Pan, H.,
Integrating Multiresolution and Multitemporal Sentinel-2 Imagery for Land-Cover Mapping in the Xiongan New Area, China,
GeoRS(59), No. 2, February 2021, pp. 1029-1040.
IEEE DOI 2101
Spatial resolution, Image segmentation, Feature extraction, Monitoring, Economics, Vegetation mapping, temporal features BibRef

Debella-Gilo, M.[Misganu], Gjertsen, A.K.[Arnt Kristian],
Mapping Seasonal Agricultural Land Use Types Using Deep Learning on Sentinel-2 Image Time Series,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Raiyani, K.[Kashyap], Gonçalves, T.[Teresa], Rato, L.[Luís], Salgueiro, P.[Pedro], Marques da Silva, J.R.[José R.],
Sentinel-2 Image Scene Classification: A Comparison between Sen2Cor and a Machine Learning Approach,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Smith, D.[David], Hunt, S.E.[Samuel E.], Etxaluze, M.[Mireya], Peters, D.[Dan], Nightingale, T.[Tim], Mittaz, J.[Jonathan], Woolliams, E.R.[Emma R.], Polehampton, E.[Edward],
Traceability of the Sentinel-3 SLSTR Level-1 Infrared Radiometric Processing,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

He, L.M.[Li-Ming], Wang, R.[Rong], Mostovoy, G.[Georgy], Liu, J.[Jane], Chen, J.M.[Jing M.], Shang, J.[Jiali], Liu, J.[Jiangui], McNairn, H.[Heather], Powers, J.[Jarrett],
Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Kpienbaareh, D.[Daniel], Sun, X.[Xiaoxuan], Wang, J.F.[Jin-Fei], Luginaah, I.[Isaac], Kerr, R.B.[Rachel Bezner], Lupafya, E.[Esther], Dakishoni, L.[Laifolo],
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, M.Q.[Meng-Qiu], Hu, C.M.[Chuan-Min],
Automatic Extraction of Sargassum Features From Sentinel-2 MSI Images,
GeoRS(59), No. 3, March 2021, pp. 2579-2597.
IEEE DOI 2103
Feature extraction, Image resolution, Instruments, Earth, Clouds, Indexes, Artificial satellites, Denoising, feature extraction, Sargassum BibRef

Harfenmeister, K.[Katharina], Itzerott, S.[Sibylle], Weltzien, C.[Cornelia], Spengler, D.[Daniel],
Agricultural Monitoring Using Polarimetric Decomposition Parameters of Sentinel-1 Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Najafi, P.[Payam], Feizizadeh, B.[Bakhtiar], Navid, H.[Hossein],
A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Amies, A.C.[Alexander C.], Dymond, J.R.[John R.], Shepherd, J.D.[James D.], Pairman, D.[David], Hoogendoorn, C.[Coby], Sabetizade, M.[Marmar], Belliss, S.E.[Stella E.],
National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Muthoka, J.M.[James M.], Salakpi, E.E.[Edward E.], Ouko, E.[Edward], Yi, Z.F.[Zhuang-Fang], Antonarakis, A.S.[Alexander S.], Rowhani, P.[Pedram],
Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble Machine Learning Classifiers,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Hernández-López, D.[David], Piedelobo, L.[Laura], Moreno, M.A.[Miguel A.], Chakhar, A.[Amal], Ortega-Terol, D.[Damián], González-Aguilera, D.[Diego],
Design of a Local Nested Grid for the Optimal Combined Use of Landsat 8 and Sentinel 2 Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Guo, Z.K.[Zeng-Kun], Kurban, A.[Alishir], Ablekim, A.[Abdimijit], Wu, S.[Shupu], van de Voorde, T.[Tim], Azadi, H.[Hossein], de Maeyer, P.[Philippe], Umwall, E.D.[Edovia Dufatanye],
Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Adrian, J.[Jarrett], Sagan, V.[Vasit], Maimaitijiang, M.[Maitiniyazi],
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine,
PandRS(175), 2021, pp. 215-235.
Elsevier DOI 2105
3D U-Net, Denoising neural networks, Sentinel-1, Sentinel-2, Data fusion BibRef

Dodin, M.[Maxence], Smith, H.D.[Hunter D.], Levavasseur, F.[Florent], Hadjar, D.[Dalila], Houot, S.[Sabine], Vaudour, E.[Emmanuelle],
Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Hussain, E.[Ekbal], Novellino, A.[Alessandro], Jordan, C.[Colm], Bateson, L.[Luke],
Offline-Online Change Detection for Sentinel-1 InSAR Time Series,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Rao, P.[Preeti], Zhou, W.[Weiqi], Bhattarai, N.[Nishan], Srivastava, A.K.[Amit K.], Singh, B.[Balwinder], Poonia, S.[Shishpal], Lobell, D.B.[David B.], Jain, M.[Meha],
Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Dobrinic, D.[Dino], Gašparovic, M.[Mateo], Medak, D.[Damir],
Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Pan, L.[Li], Xia, H.M.[Hao-Ming], Zhao, X.Y.[Xiao-Yang], Guo, Y.[Yan], Qin, Y.C.[Yao-Chen],
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Martini, M.[Mauro], Mazzia, V.[Vittorio], Khaliq, A.[Aleem], Chiaberge, M.[Marcello],
Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Beriaux, E.[Emilie], Jago, A.[Alban], Lucau-Danila, C.[Cozmin], Planchon, V.[Viviane], Defourny, P.[Pierre],
Sentinel-1 Time Series for Crop Identification in the Framework of the Future CAP Monitoring,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Gallo, I.[Ignazio], Grassa, R.L.[Riccardo La], Landro, N.[Nicola], Boschetti, M.[Mirco],
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Schulz, D.[Dario], Yin, H.[He], Tischbein, B.[Bernhard], Verleysdonk, S.[Sarah], Adamou, R.[Rabani], Kumar, N.[Navneet],
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel,
PandRS(178), 2021, pp. 97-111.
Elsevier DOI 2108
Classifier ensemble, Land cover, Feature selection, West Africa, Seasonal change BibRef

Bhogapurapu, N.[Narayanarao], Dey, S.[Subhadip], Bhattacharya, A.[Avik], Mandal, D.[Dipankar], Lopez-Sanchez, J.M.[Juan M.], McNairn, H.[Heather], López-Martínez, C.[Carlos], Rao, Y.S.,
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment,
PandRS(178), 2021, pp. 20-35.
Elsevier DOI 2108
GRD SAR, Dual-pol, Phenology, Unsupervised clustering, GEE, Sentinel-1 BibRef

Luo, J.S.[Jian-Song], Ma, X.W.[Xin-Wen], Chu, Q.[Qifeng], Xie, M.[Min], Cao, Y.[Yujia],
Characterizing the Up-To-Date Land-Use and Land-Cover Change in Xiong'an New Area from 2017 to 2020 Using the Multi-Temporal Sentinel-2 Images on Google Earth Engine,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef


Gialampoukidis, I.[Ilias], Moumtzidou, A.[Anastasia], Bakratsas, M.[Marios], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
A Multimodal Tensor-based Late Fusion Approach for Satellite Image Search in Sentinel 2 Images,
MMMod21(II:294-306).
Springer DOI 2106
BibRef

Leenstra, M.[Marrit], Marcos, D.[Diego], Bovolo, F.[Francesca], Tuia, D.[Devis],
Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery,
PRRS20 (578-590).
Springer DOI 2103
BibRef

Oldoni, L.V., Prudente, V.H.R., Diniz, J.M.F.S., Wiederkehr, N.C., Sanches, I.D., Gama, F.F.,
Polarimetric SAR Data From Sentinel-1a Applied to Early Crop Classification,
ISPRS20(B3:1039-1046).
DOI Link 2012
BibRef

Racic, M., Oštir, K., Peressutti, D., Zupanc, A., Zajc, L.C.[L. Cehovin],
Application of Temporal Convolutional Neural Network for The Classification of Crops on Sentinel-2 Time Series,
ISPRS20(B2:1337-1342).
DOI Link 2012
BibRef

Hu, J., Mou, L., Zhu, X.X.,
Unsupervised Domain Adaptation Using A Teacher-student Network For Cross-city Classification of Sentinel-2 Images,
ISPRS20(B2:1569-1574).
DOI Link 2012
BibRef

Chauhan, S., Darvishzadeh, R., Boschetti, M., Nelson, A.,
Understanding of Crop Lodging Induced Changes In Scattering Mechanisms Using Radarsat-2 and Sentinel-1 Derived Metrics,
ISPRS20(B3:267-274).
DOI Link 2012
BibRef

Voelsen, M., Bostelmann, J., Maas, A., Rottensteiner, F., Heipke, C.,
Automatically Generated Training Data for Land Cover Classification With CNNs Using Sentinel-2 Images,
ISPRS20(B3:767-774).
DOI Link 2012
BibRef

Belcore, E., Piras, M., Wozniak, E.,
Specific Alpine Environment Land Cover Classification Methodology: Google Earth Engine Processing for Sentinel-2 Data,
ISPRS20(B3:663-670).
DOI Link 2012
BibRef

Hernandez, I., Benevides, P., Costa, H., Caetano, M.,
Exploring Sentinel-2 for Land Cover and Crop Mapping In Portugal,
ISPRS20(B3:83-89).
DOI Link 2012
BibRef

Ghasemian-Sorboni, N., Pahlavani, P., Bigdeli, B.,
Vegetation Mapping of Sentinel-1 and 2 Satellite Images Using Convolutional Neural Network and Random Forest With The Aid Of Dual-polarized and Optical Vegetation Indexes,
SMPR19(435-440).
DOI Link 1912
BibRef

Lambert, M.J., Blaes, X., Traoré, P.S., Defourny, P.,
Estimate yield at parcel level from S2 time serie in sub-Saharan smallholder farming systems,
MultiTemp17(1-7)
IEEE DOI 1712
crops, regression analysis, soil, time series, vegetation mapping, Leaf Area Index, S2 time serie, Sentinel-2 satellite, Yield estimation BibRef

Lussem, U., Hütt, C., Waldhoff, G.,
Combined Analysis Of Sentinel-1 And Rapideye Data For Improved Crop Type Classification: An Early Season Approach For Rapeseed And Cereals,
ISPRS16(B8: 959-963).
DOI Link 1610
BibRef

Sekertekin, A., Marangoz, A.M., Akcin, H.,
Pixel-based Classification Analysis of Land Use Land Cover Using Sentinel-2 And Landsat-8 Data,
GeoAdvances17(91-93).
DOI Link 1805
BibRef

Notarnicola, C., Asam, S., Jacob, A., Marin, C., Rossi, M., Stendardi, L.,
Mountain crop monitoring with multitemporal Sentinel-1 and Sentinel-2 imagery,
MultiTemp17(1-4)
IEEE DOI 1712
crops, remote sensing by radar, synthetic aperture radar, Sentinel-2 imagery, Sentinel-2 images, crop phenology, time series BibRef

Abdikan, S., Bayik, C.,
Assessment of ALOS PALSAR 25-m mosaic data for land cover mapping,
MultiTemp17(1-4)
IEEE DOI 1712
land cover, synthetic aperture radar, vegetation mapping, AD 2010 to 2015, GlobeLand30 global data product, Istanbul, JAXA, land cover BibRef

Abdikan, S., Sanli, F.B., Ustuner, M., Calň, F.,
Land Cover Mapping Using Sentinel-1 Sar Data,
ISPRS16(B7: 757-761).
DOI Link 1610
BibRef

Topaloglu, R.H.[Raziye Hale], Sertel, E.[Elif], Musaoglu, N.[Nebiye],
Assessment Of Classification Accuracies Of Sentinel-2 And Landsat-8 Data For Land Cover / Use Mapping,
ISPRS16(B8: 1055-1059).
DOI Link 1610
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Cover, Land Use Change Analysis for Radar and SAR .


Last update:Aug 2, 2021 at 20:26:03