Nitrogen Dioxide Monitoring with Satellite Imagery over Ankara, Turkey by Maryam Zare Shahne, Mostafa Jazari, Zahra Amiri

“…Presently, weather models leverage satellite imagery to record and report pollutant levels hourly and daily, allowing for the identification of sources and patterns of pollutants. …”
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Methodological and practical aspects of using satellite imagery to assess the military impact on soils by Vitalii Lebed, Maksym Solokha, Vadym Solovei, Anatolii Kucher, Ludmila Vorotyntseva

“…The study utilised satellite imagery of varying resolutions and geographic information systems to calculate the damage caused by military actions with sufficient accuracy. …”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…This study demonstrates the high potential of machine learning models for assessing the bathymetry of optically shallow waters using optical satellite imagery.…”
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assessment of land-cover change in South part of Lake Urmia using satellite imagery by Khadijeh Mikaeli Hajikandi, Behrooz Sobhani, Saeid Varamesh

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Satellite imagery system in malaria transmission resulting from the land use/land cover change by C. Payus, J. Sentian

“…BACKGROUND AND OBJECTIVES: This study analyzed the changes in land use and land cover trends and their implication on malaria transmission using satellite imagery applications. Deforestation or human land use activity related to water and development has expanded the ideal habitats for malaria-carrying mosquitoes, resulting in an upsurge of malaria transmission.The presence of these habitats and breeding increased the contact between humans and mosquitoes, thus increasing the number of malaria cases. …”
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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

“…The fusion of synthetic aperture radar (SAR) and optical satellite imagery poses significant challenges for ship detection due to the distinct characteristics and noise profiles of each modality. …”
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A new index for extracting built-up land features using Landsat satellite imagery by Jellouli Amine, Chakouri Mohcine, El Hachimi Jaouad, Hajaj Soufiane, Jari Abdessamad, Adiri Zakaria

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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

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The site selection of heat islands and its adaptation to satellite imagery based on the TOPSIS model in Mashhad by Mokhtar Karami, Rahman Zandi, jalal taheri

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning by M. Isabel Ramos, Juan J. Cubillas, Ruth M. Córdoba, Lidia M. Ortega

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The processing of the satellite imagery is carried out by the geospatial processing service Google Earth Engine. …”
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Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation by Minkyung Chung, Yongil Kim

Subjects: “…high-resolution (HR) satellite imagery…”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…This study focuses on Paro, one of the top rice-yielding districts in Bhutan, and employs publicly available Norway’s International Climate and Forest Initiative (NICFI) high-resolution satellite imagery from Planet Labs. Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. …”
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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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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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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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