Implementation of coded targets for metrology applications in MicMac, a free open-source photogrammetric software by J.-M. Muller, M. Daakir, M. Pierrot Deseilligny, F. Barcet

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DInSAR Analysis of Ground Deformation Induced by the 2023 Al Haouz Earthquake, Morocco by A. Habib, I. Berrada, A. El Adnani, Y. A. Laaziz, A. Fadili, A. Lagnaoui, A. Lagnaoui, A. Najih, T. Y. Arrad

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Mapping Vegetation Dynamics in Wyoming: A Multi-Temporal Analysis using Landsat NDVI and Clustering by N. Kuppala, C. Navneet Krishna, V. V. Sajith Variyar, R. Sivanpillai

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libBICOS – An Open Source GPU-Accelerated Library implementing BInary COrrespondence Search for 3D Reconstruction by C. Liebender, M. Bleier, A. Nüchter

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Understanding Heat Extremes with Hot Days and Warm Nights Across India by Pritipadmaja, R. Sharma, R. D. Garg

“…By comparing data from a baseline period (2003–2012) to a recent period (2019–2023), the research aims to capture the evolving spatial patterns of heat extremes and assess their implications for vulnerable populations. …”
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Investigation of the Impact of Urbanization to Urban Heat Island – A Comparison Between Perth and Muscat by Q. Al-Badi, P. Helmholz, D. Bulatov

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Spatio-temporal characterization of precipitation in the Middle and Lower Paraguay Basin based on satellite products and weather station data by R. Villalba, R. Villalba, A. Ferral, J. Baéz, J. Kurita, V. H. Gauto, J. C. Bertoni

“…Additionally, the study of temporal anomalies identified prolonged drought periods (2001–2013 and 2020–2022), with intensification in 2020, and periods of intense rainfall (2014–2019), highlighting the 2015 floods. The spatial precipitation anomalies during El Niño (2015) and La Niña (2020), using IMERG and CHIRPS data, allowed for the identification of precipitation spatial patterns. …”
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Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS) by A. Nerves, F. D. Rivera, F. D. Rivera, A. Blanco, A. Blanco, Y. Tirol, K. Nadaoka

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Vertical urban growth monitoring through PSInSAR Stack On-Off model approach: A case study of Wuhan (2015–2024) by Z. Afzal, T. Balz, S. Ousaha, C. S. Boyoğlu

“…The methodology streamlines traditional PSInSAR processing by initially focusing on recent imagery for PS point extraction before analyzing the complete temporal stack, significantly reducing computational requirements while maintaining monitoring capabilities. Analysis of the spatial-temporal patterns shows distinct development phases, with 64.81% of structures predating 2015, followed by more targeted development in subsequent periods. …”
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Mapping the Extent of Land Degradation in East Baton Rouge Parish by E. Dadzie, Y. A. Twumasi, Z. H. Ning, J. D. Osei, D. T. Gyan, D. Aniewu, P. M. Loh

“…In East Baton Rouge Parish, the pressures of urban expansion and shifting land use patterns have intensified the degradation of natural landscapes. …”
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Bioclimatic Drivers of Amur Falcon Habitat Dynamics Using Advanced Machine Learning Models by B. Ghale, S. Mamgain, K. Gupta, A. Roy, H. C. Karnatak

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An Effective One-shot Body Part Multi-View Reconstruction Device with Self-calibration Capabilities by M. Bonotto, M. Bonotto, D. Evangelista, M. Imperoli, A. Pretto

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Assessment of Machine Learning Models for Predicting Aboveground Biomass in the Indian Subcontinent by S. Mamgain, B. Ghale, H. C. Karnatak, A. Roy

“…The predictions reveal significant spatial variation in biomass density, reflecting region's diverse ecological zones & land-use patterns. …”
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Assessment of UAV image quality in terms of optical resolution by P. Zachar, Ł. Wilk, M. Pilarska-Mazurek, H. Meißner, W. Ostrowski, W. Ostrowski

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Unsupervised iris image segmentation by E. Maksimenko, E. Pavelyeva

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Mapping Land Subsidence in Ahmedabad City, India: Interpreting InSAR-Derived Land Subsidence with Auxiliary Data by A. Pandit, N. Ahuja, S. Sawant, J. Mohite, S. Pappula

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Modeling future projections of land use and land cover in the Kakataibo territory by J. E. Victorio Gonzales, K. Hopfgartner

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Evaluating Matrix Factorization Techniques for Thematic Mapping of Wilderness Walkability Using Multiple GPX Datasets by L. Šerić, B. Draško, A. Ivanda

“…This study leverages 1,620 GPX trail datasets from Croatia to infer walkability by analyzing movement speed across spatial cells. To extract latent walkability patterns, we apply matrix factorization techniques, including Singular Value Decomposition (SVD), Non-Negative Matrix Factorization (NMF), Stochastic Gradient Descent (SGD), Alternating Least Squares (ALS), and Fast Independent Component Analysis (FastICA). …”
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Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning by J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, J. C. D. M. Esquerdo, R. A. C. Lamparelli, R. A. C. Lamparelli

“…The proposed methodology explores the best possible combination of spectral variables related to vegetation (16 vegetation indices in the RGB, NIR, SWIR, and Red Edge regions) to characterize different spectro-temporal profiles of Land Use and Land Cover (LULC) in spatially heterogeneous landscapes. First, we applied a data dimensionality reduction analysis using the PCA (Principal Component Analysis) method. …”
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Comparison of TLS and photogrammetric workflows for tracking Alpine rock slope failures by L. Raffl, L. Lucks, C. Holst

“…The results demonstrate that both TLS and photogrammetry effectively detect ongoing movement patterns down to a few millimeters, with similar accuracy despite slight differences in noise levels. …”
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