Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

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Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska by L. Hartl, C. Schmitt, M. Stuefer, J. Jenckes, B. Page, C. Crawford, G. Schmidt, R. Yang, R. Hock

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Assessment of Vegetation Temperature Status (VTCI) for monitoring drought in the watershed of Lake Urmia by using MODIS satellite imagery by Adel Nabi Zadeh Balkhanloo, zahra hejazizadeh, Parviz zeaiean Firoozabadi

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Regional-based potential assessment for solar photovoltaic generation in northern part of Nigeria using satellite imagery data by Mohammed K. Salihu, Ali Danladi, D. W. Medugu

“…Abstract Background This research used satellite imagery data to conduct a regional-based potential assessment for solar photovoltaic generating in the northern section of Nigeria. …”
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VHRTrees: a new benchmark dataset for tree detection in satellite imagery and performance evaluation with YOLO-based models by Şule Nur Topgül, Elif Sertel, Samet Aksoy, Cem Ünsalan, Johan E. S. Fransson

“…These findings underscore the effectiveness of You Only Look Once (YOLO)-based object detection algorithms for real-time forest monitoring applications, offering a cost-effective and accurate solution for tree detection using RGB satellite imagery. The VHRTrees dataset, related source codes, and pretrained models are available at https://github.com/RSandAI/VHRTrees.…”
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Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

“…Here we demonstrate a method to generate sub-meter resolution CHMs in three forests in California using a more abundant data source: sub-meter resolution, panchromatic satellite imagery from a single sensor. We show that phenology and species composition play important roles in model transferability; when trained using imagery from a single conifer forest in autumn, the model performs well on autumn imagery from a second conifer forest several hundred kilometers distant with no re-training. …”
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Quantifying climate change and its impact on surface water in the Cherrat watershed in northwest Morocco using satellite imagery and GIS by Gramz Mohamed, Batchi Mouhcine, Ouiaboub Lahcen, Mettouchi Mehdi, El Bouziani Jamal, Azagane Moulay Hichame, El Abbassi Mariam

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Deep Learning Inter-city Roads Conditions in East Africa for Infrastructure Prioritization using Satellite Imagery and Mobile Data by Davy Uwizera, Prof. Patrick McSharry, Charles Ruranga

“…We apply deep learning to satellite imagery, to assess roads conditions by area and big data analytics to CDR data, to rank which ones could be prioritized for construction given mobility trends. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…We address these challenges and assess the association between urban residence and neonatal/perinatal mortality in Tanzania.Methods The Tanzania Demographic and Health Survey (DHS) 2015–2016 was used to assess birth outcomes for 8915 pregnancies among 6156 women of reproductive age, by urban or rural categorisation in the DHS and based on satellite imagery. The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. …”
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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

“…This study proposes a novel approach for detecting solar rooftops using publicly available satellite imagery over large areas. We also introduce a technique for estimating solar panel size and potential energy production, with outputs formatted for GIS applications. …”
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Usage of Satellite Imagery to Determine Distribution of Dacrycarpus imbricatus (Blume) De Laub. on The Tapak Hill, Batukahu Natural Reserve Bali by Rajif Iryadi, Arief Priyadi, I Dewa Putu Darma

“…The determination of site characteristics was conducted by visual interpretation of high resolution satellite imagery Pleiades 2014 and elevation spatial data. …”
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Assessing terrain shifts and infrastructure impact: A dual approach using satellite imagery and UAV data in the Cibedug, Rongga landslide by Hilmi Zaenal Putra Moch, Tohari Adrin, Fakrus Shomim Achmad, Soebowo Eko, Sudrajat Yayat, Amar, Wahyudin, Sarah Dwi

“…The research integrates high-resolution satellite imagery and UAV data to analyse the vertical, horizontal, and rotational displacements caused by the landslide. …”
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National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery by Thomas P. Huff, Emily R. Russ, Todd M. Swannack

“…A combination of satellite imagery data obtained and processed using Google Earth Engine and machine learning algorithms were applied at known dredged material placement sites to develop a time series of dredged material placement events and subsequent site recovery. …”
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Assessment of land cover/land use changes using object-oriented processing of satellite imageries (1985-2015) in the Rozechai Watershed of Urmia by Khadijeh Haji, Abazar Esmali-Ouri, Raoof Mostafazadeh, Habib Nazarnejad

“…The purpose of the present study was to evaluate land cover/ land use changes at the Rozechai Watershed during the period of 30-years 1985-2015 using Landsat 5 and Landsat 7 satellite imageries such as TM and ETM+ sensors; plus, land use maps were prepared using TerrSet software and object-oriented classification in 1985 and 2000 years. …”
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Analysis of Land Displacement Utilizing Sentinel-1 Satellite Imagery and InSAR Technique: A Case Study in Kern County, California by Javad Hatamiafkoueieh

“…This study investigates patterns of land displacement in Kern County, California, using Sentinel-1 satellite imagery and the Interferometric Synthetic Aperture Radar (InSAR) technique. …”
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Seismotectonic and Geological Mapping around the High and Middle Atlas Junction: Integration of Satellite Imagery and Seismic Analysis in the Tizi N’Isly Basin, Morocco by Najim Abdelkarim, Timoulali Youssef, El Hilali Mohamed, Bouiflane Mustapha

“…Our research combines geological mapping, lineament extraction from satellite imagery, and seismic analysis is to understand the surface and subsurface geology and tectonics. …”
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Investigating the Level of Stability of the Water Zone of Hamon Wetlands Using Sensor Images GEE in MODIS by Mohammad Fartoot Enayat, Kourosh Mohammadpour, Ali Asghar Abdollahi, Bita Jeddi

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Measuring Spatial Expansion of Tehran Metropolis and its Impact on Environmental Changes by Asghar Teymouri, Jamileh Tavakolinia, Abolfazl Meshkini

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Estimation of internal displacement in Ukraine from satellite-based car detections by Marie-Christine Rufener, Ferda Ofli, Masoomali Fatehkia, Ingmar Weber

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Biodiversity Change in Cultural Landscapes—The Rural Hotspot Hypothesis by Carsten Neumann, Robert Behling, Gabriele Weiss

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