Habitat Reduction and Population Structure of Endangered Asian Arowana (Scleropages formosus) Golden Red in Riau Sumatra, Indonesia by Arief Anthonius Purnama, Tsugiyuki Masunaga

“…Land use changes were analyzed by satellite imagery through the QGIS application. We collected population sampling data for arowana golden red by using 'fish net', 'fish trap', and 'fish scoop-net'. …”
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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

“…Deep learning models leveraging multispectral satellite imagery, like Sentinel-2, provide valuable solutions. …”
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Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotra... by Xiao-Gang Wang, Qing Kang, Xiao-Hong Chen, Wen Wang, Qing-Hua Fu

“…An accurate estimation of terrestrial evapotranspiration over heterogeneous surfaces using satellite imagery and few meteorological observations remains a challenging task. …”
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INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management by Quentin Poterek, Alessandro Caretto, Rémi Braun, Stephen Clandillon, Claire Huber, Pietro Ceccato

“…INFLOS calculates flood depth by interpolating water surface elevation from sample points along flooded area boundaries, derived from satellite imagery. This tool is capable of delivering flood depth estimates in a rapid mapping context, leveraging a multistep interpolation and filtering process for improved accuracy. …”
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‘DeltaCAN - A new data set of Canadian Arctic and subarctic coastal deltas’ by Mette Bendixen, Beatrice Roberge, Jenny Park, David Didier, Antoine Boisson, Haley Yorston, Lindsay Trottier, Ashley Hoblyn, Jackie Lee, Sadie MacDonald, Shan Zhao, Lauren Traboulsee, Arthur Rebillard, Lars Lønsmann Iversen

“…The inventory is based on inspection of remotely-sensed satellite imageries, developed through an expert-based mapping approach where we implemented a quality control mechanism to assess the completeness of the data set. …”
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Bathymetry estimation for coastal regions using self-attention by Xiaoxiong Zhang, Maryam R. Al Shehhi

“…Among them, Satellite-Derived Bathymetry (SDB) shows the greatest promise in providing a cost-effective and efficient solution due to the spatial and temporal resolution offered by satellite imagery. However, the majority of the SDB models are designed for regional bathymetry, which requires prior knowledge of the tested region. …”
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A remote monitoring approach for coastal engineering projects by C. Cabezas-Rabadán, J. E. Pardo-Pascual, J. Palomar-Vázquez, A. Cooper

“…Initially, satellite-derived waterlines are identified and extracted from publicly available satellite imagery of the Landsat 5, 7, 8, and 9, and Sentinel-2 constellations using the automatic shoreline extraction tool SHOREX. …”
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Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods by Aikaterini-Alexandra Chrysafi, Paraskevas Tsangaratos, Ioanna Ilia, Wei Chen

“…Using Google Earth Engine, we processed satellite imagery to calculate these indices, enabling the assessment of vegetation health, soil moisture, and exposed soil areas, which are key indicators of landslide activity. …”
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Braiding archaeology, geomorphology and indigenous knowledge to improve the understanding of local-scale coastal change by Benjamin D. Jones, Mark E. Dickson, Murray Ford, Daniel Hikuroa, Emma Ryan, Ari Carrington, Juliane Chetham

“…Anthropogenic deposits within dune stratigraphy are radiocarbon-dated and used as chronological markers to constrain coastal evolution, alongside geomorphological analyses of topographic data, historical aerial photographs and satellite imagery. These investigations revealed that the barrier is eroding at a rate of 0.45 m/year. …”
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Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

“…However, spectral similarity between different vegetation types and the issue of mixed pixels in medium-resolution satellite imagery remain significant challenges for fine-scale forest classification. …”
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Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images by Xin Wang, Yu Zhang, Wenquan Xu, Hanxi Wang, Jingye Cai, Qin Qin, Qin Wang, Jing Zeng

“…To address these challenges, we present two main contributions. (1) Using multi-source high-resolution satellite imagery from China’s new generation of Earth observation satellites, we constructed the Mangrove Semantic Segmentation Dataset of Beihai, Guangxi (MSSDBG); (2) We propose a novel Multi-scale Fusion Attention Unified Perceptual Network (MFA-UperNet) for precise mangrove segmentation. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Remote sensing technology using satellite imagery and unmanned aerial vehicles (UAVs) reduces labor, but it is difficult to determine the species that are surrounded by a canopy in forests. …”
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Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China by Jielin Liu, Chong Xu, Binbin Zhao, Zhi Yang, Yi Liu, Sihang Zhang, Xiaoang Kong, Qiongqiong Lan, Wenbin Xu, Wenwen Qi

“…The use of satellite imagery for surface deformation monitoring has been steadily increasing. …”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

“…RS data were represented by multi-temporal Sentinel-2 satellite imagery data, which were supplemented by (i) topographic covariates derived from a UAV-based digital surface model and (ii) digital primary soil property maps. …”
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Identification and Analysis on Surface Deformation in the Urban Area of Nanchang Based on PS-InSAR Method by Mengping Zhang, Jiayi Pan, Peifeng Ma, Hui Lin

“…However, four significant subsidence zones were identified along the Gan River and its downstream regions, with a maximum subsidence rate reaching 9.7 mm/a. Historical satellite imagery comparisons indicated that certain subsidence areas are potentially associated with construction activities. …”
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Insights from feature tracking of optical satellite data for studying rock glacier kinematics in the Northern Tien Shan by Ella Wood, Ella Wood, Tobias Bolch, Tobias Bolch, Richard Streeter

“…We compared different sources of satellite imagery, including 0.5m Pléiades, 3m Planet, 10m Sentinel-2 and 15m Landsat-8 data. …”
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Assessing Short-term Flood Impact on Land Use Dynamics in Iran’s Central Zagros: A Case Study of Sefid Kuh Protected Area by Soheyl Moradi, Hossein Moradi, Jafar Dolatshah, Azita Rezvani

“…In this study, we aimed to assess the effects of floods on land cover changes and transitions in the Sefid Kuh Protected Area, Lorestan Province in Iran, using temporal satellite imagery from Landsat 8, land-use/land-cover change detection and fragmentation analysis, and landscape pattern indices. …”
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The Vanishing Volcanic Geoheritage of a Key Scoria Cone and its Significance in Volcanic Hazard Resilience of the Active Monogenetic Volcanic Field near Al Madinah, Kingdom of Saud... by Karoly Nemeth, Mohammed Moufti, Mahmoud Ashor, Abdulrahman Sowaigh, Turki Hablil, Khalid Abdulhafez, Turki Sehli

“…Since the first research was 20 years ago, a restudy of the present-day condition of the scoria cone was conducted. Applying satellite imagery, remote sensing and direct site visit, we find that about a third of the cone surface area has been modified and at least a quarter of its volume has vanished. …”
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GIS and remote sensing based assessment of West Rapti River channel migration in Nepal by Sandesh Gharti, Prabin Poudel, Ramesh Silwal, Suchana Baniya, Jeetendra Gautam, Om Mishra, Sijan Bista, Dipendra Dhungana

“…Using freely available Landsat satellite imagery we extracted water surface features through the Normalized Difference Water Index and generated 27 cross-sections (CS) to track channel shift. …”
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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…To achieve this, we combine deep learning and remote sensing data, including 3-m PlanetScope satellite imagery, a Digital Elevation Model (DEM), and temporal data from the Landtrendr change detection algorithm. …”
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