Short- and long-term prediction of length of day time series using a combination of MCSSA and ARMA

Authors: Shayan Shirafkan, Mohammad Ali Sharifi, Sadegh Modiri, Santiago Belda, Seyed Mohsen Khazraei, Alireza Amiri-Simkooei

Source: Earth, Planets and Space, Vol 77, Iss 1, Pp 1-15 (2025)

Subject Terms: Prediction, Length of day, Singular spectrum analysis, Monte Carlo, ARMA, Least square, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/fae9bc186e904c1cb599cae9e2a7f836

Joint short-term prediction of polar motion and length of day with multi-task deep learning methods

Authors: Sonia Guessoum, Santiago Belda, Sadegh Modiri, Maria Karbon, José M. Ferrándiz, Justyna Śliwińska-Bronowicz, Harald Schuh

Source: Earth, Planets and Space, Vol 77, Iss 1, Pp 1-26 (2025)

Subject Terms: EOPs, ERP, Prediction, Polar motion, Length of day, Singular spectrum analysis, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/a4989db879ac44779106eea8fb74213d

Combining evolutionary computation with machine learning technique for improved short-term prediction of UT1-UTC and length-of-day

Authors: Sujata Dhar, Robert Heinkelmann, Santiago Belda, Sadegh Modiri, Harald Schuh, Sonia Guessoum, José Manuel Ferrándiz, Nagarajan Balasubramanian, Onkar Dikshit

Source: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-21 (2024)

Subject Terms: Prediction, UT1-UTC, LOD, Machine learning, Gaussian process regression, Genetic algorithm, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

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Relation: https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/231dbdac8c46420580438fd2a27a75ae

Findings on celestial pole offsets predictions in the second earth orientation parameters prediction comparison campaign (2nd EOP PCC)

Authors: Małgorzata Wińska, Tomasz Kur, Justyna Śliwińska-Bronowicz, Jolanta Nastula, Henryk Dobslaw, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Mike Chin, Sujata Dhar, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Robert Heinkelmann, Sadegh Modiri, Todd Ratcliff, Shrishail Raut, Matthias Schartner, Harald Schuh, Mostafa Kiani Shahvandi, Benedikt Soja, Daniela Thaller, Yuanwei Wu, Xueqing Xu, Xinyu Yang, Xin Zhao

Source: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-21 (2024)

Subject Terms: Earth Orientation Parameters (EOP), Celestial pole offsets (CPO), Prediction, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/4d751497cbf947a49cdf6836cce80ee8

Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign

Authors: Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

Source: Earth and Space Science, Vol 11, Iss 11, Pp n/a-n/a (2024)

Subject Terms: Earth orientation parameters, predictions, polar motion, effective angular momentum, Earth orientation parameters prediction comparison campaign, Astronomy, QB1-991, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/2333-5084

Access URL: https://doaj.org/article/b9eb19f49d7e4d8ca2371ebd2d792d98

Short-term prediction of celestial pole offsets with interpretable machine learning

Authors: Mostafa Kiani Shahvandi, Santiago Belda, Siddhartha Mishra, Benedikt Soja

Source: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-15 (2024)

Subject Terms: Celestial pole offsets, Interpretable machine learning, Neural additive models, Prediction accuracy, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/a2f8e7e0b56f4a54a3c74bb426516ee7

In-season forecasting of within-field grain yield from Sentinel-2 time series data

Authors: Eatidal Amin, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José Moreno, Jochem Verrelst

Source: International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103636- (2024)

Subject Terms: Sentinel-2, Crop yield forecasting, Machine learning, Gaussian process regression (GPR), Time series gap-filling, Growing degree days (GDD), Physical geography, GB3-5030, Environmental sciences, GE1-350

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843223004600; https://doaj.org/toc/1569-8432

Access URL: https://doaj.org/article/a8bb85440b7f41fb9a8aa795e47f6f54

In-situ start and end of growing season dates of major European crop types from France and Bulgaria at a field level

Authors: Dessislava Ganeva, Tiphaine Tallec, Aurore Brut, Egor Prikaziuk, Enrico Tomelleri, Gerbrand Koren, Jochem Verrelst, Katja Berger, Lukas Valentin Graf, Santiago Belda, Zhanzhang Cai, Cláudio F. Silva

Source: Data in Brief, Vol 51, Iss , Pp 109623- (2023)

Subject Terms: Winter crop, Summer crop, Cover crop, BBCH, Phenology, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352340923007084; https://doaj.org/toc/2352-3409

Access URL: https://doaj.org/article/71c1bf556ce7430b8991b6168e45d2a4

The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)

Authors: Sonia Guessoum, Santiago Belda, Jose M. Ferrandiz, Sadegh Modiri, Shrishail Raut, Sujata Dhar, Robert Heinkelmann, Harald Schuh

Source: Sensors, Vol 22, Iss 23, p 9517 (2022)

Subject Terms: one-dimensional convolutional neural networks, 1D CNN, length of day, atmospheric angular momentum, AAM function, prediction, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/23/9517; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/6df890cc36d146e99db21fee338a4e67

Changes in Onset of Vegetation Growth on Svalbard, 2000–2020

Authors: Stein Rune Karlsen, Arve Elvebakk, Hans Tømmervik, Santiago Belda, Laura Stendardi

Source: Remote Sensing, Vol 14, Iss 24, p 6346 (2022)

Subject Terms: MODIS, NDVI, time series, onset of vegetation growth, trend, Arctic, Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/14/24/6346; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/9611663a1c3843e097ca8264671203b6

Detection of a New Large Free Core Nutation Phase Jump

Authors: Zinovy Malkin, Santiago Belda, Sadegh Modiri

Source: Sensors, Vol 22, Iss 16, p 5960 (2022)

Subject Terms: Earth’s rotation, celestial pole motion, free core nutation (FCN), FCN phase variations, VLBI, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/16/5960; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/08b6e8dff1db4188b693d55452d05c06

Impact of the terrestrial reference frame on the determination of the celestial reference frame

Authors: Maria Karbon, Santiago Belda, Tobias Nilsson

Source: Geodesy and Geodynamics, Vol 10, Iss 1, Pp 58-71 (2019)

Subject Terms: Geodesy, QB275-343, Geophysics. Cosmic physics, QC801-809

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S167498471730188X; https://doaj.org/toc/1674-9847

Access URL: https://doaj.org/article/c4c3f26439b34d2b8cf8ab68367ca450

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI

Authors: Eatidal Amin, Santiago Belda, Luca Pipia, Zoltan Szantoi, Ahmed El Baroudy, José Moreno, Jochem Verrelst

Source: Remote Sensing, Vol 14, Iss 8, p 1812 (2022)

Subject Terms: green leaf area index, Sentinel-2, Landsat 8, land surface phenology, Gaussian Process Regression (GPR), time series analysis, Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/14/8/1812; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/d64fe0e641854327aec8fe74c43461bb

Inter-Comparison of UT1-UTC from 24-Hour, Intensives, and VGOS Sessions during CONT17

Authors: Shrishail Raut, Robert Heinkelmann, Sadegh Modiri, Santiago Belda, Kyriakos Balidakis, Harald Schuh

Source: Sensors, Vol 22, Iss 7, p 2740 (2022)

Subject Terms: UT1-UTC, VLBI, CONT17, VGOS, Intensive session, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/7/2740; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/97dd24e8e30b443e88b7e11595dfb130

Polar motion prediction using the combination of SSA and Copula-based analysis

Authors: Sadegh Modiri, Santiago Belda, Robert Heinkelmann, Mostafa Hoseini, José M. Ferrándiz, Harald Schuh

Source: Earth, Planets and Space, Vol 70, Iss 1, Pp 1-18 (2018)

Subject Terms: Copula, SSA, Polar motion, EOP, Prediction, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s40623-018-0888-3; https://doaj.org/toc/1880-5981

Access URL: https://doaj.org/article/a9907d9615a8453ebbd973295ab9cc54

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

Authors: Pablo Reyes-Muñoz, Luca Pipia, Matías Salinero-Delgado, Santiago Belda, Katja Berger, José Estévez, Miguel Morata, Juan Pablo Rivera-Caicedo, Jochem Verrelst

Source: Remote Sensing, Vol 14, Iss 6, p 1347 (2022)

Subject Terms: vegetation traits, Sentinel-3, TOA radiance, OLCI, Gaussian process regression, machine learning, Science

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Relation: https://www.mdpi.com/2072-4292/14/6/1347; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/e82611827de54fedadefc0953b2af57b

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression

Authors: Matías Salinero-Delgado, José Estévez, Luca Pipia, Santiago Belda, Katja Berger, Vanessa Paredes Gómez, Jochem Verrelst

Source: Remote Sensing, Vol 14, Iss 1, p 146 (2021)

Subject Terms: land surface phenology (LSP), Google Earth Engine (GEE), Gaussian Process Regression (GPR), Sentinel-2, gap-filling, crop traits, Science

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Relation: https://www.mdpi.com/2072-4292/14/1/146; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/6274f420754846579a127fba8ece6afd

Towards Understanding the Interconnection between Celestial Pole Motion and Earth’s Magnetic Field Using Space Geodetic Techniques

Authors: Sadegh Modiri, Robert Heinkelmann, Santiago Belda, Zinovy Malkin, Mostafa Hoseini, Monika Korte, José M. Ferrándiz, Harald Schuh

Source: Sensors, Vol 21, Iss 22, p 7555 (2021)

Subject Terms: celestial pole offset, geomagnetic field, VLBI, Chemical technology, TP1-1185

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Relation: https://www.mdpi.com/1424-8220/21/22/7555; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/7fd4e97b144e4aadab96ec544a042a05

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

Authors: Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado, Jochem Verrelst

Source: Remote Sensing, Vol 13, Iss 3, p 403 (2021)

Subject Terms: Google Earth Engine (GEE), Gaussian process regression (GPR), machine learning, Sentinel-2, gap filling, leaf area index (LAI), Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/13/3/403; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/f1620e30fda5453f89673585752f5d27

Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

Authors: Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Jochem Verrelst

Source: Agronomy, Vol 10, Iss 5, p 618 (2020)

Subject Terms: Gaussian processes regression, time series, crop monitoring, Sentinel-2, phenology indicators, optimization, Agriculture

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Relation: https://www.mdpi.com/2073-4395/10/5/618; https://doaj.org/toc/2073-4395

Access URL: https://doaj.org/article/b681e5e2ea204e6d99dfa5afb604c6d6