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Journal articles on the topic 'Pleiades satellite imagery'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Almeida, Luís, Rafael Almar, Erwin Bergsma, et al. "Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery." Remote Sensing 11, no. 5 (2019): 590. http://dx.doi.org/10.3390/rs11050590.

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High spatial resolution coastal Digital Elevation Models (DEMs) are crucial to assess coastal vulnerability and hazards such as beach erosion, sedimentation, or inundation due to storm surges and sea level rise. This paper explores the possibility to use high spatial-resolution Pleiades (pixel size = 0.7 m) stereoscopic satellite imagery to retrieve a DEM on sandy coastline. A 40-km coastal stretch in the Southwest of France was selected as a pilot-site to compare topographic measurements obtained from Pleiades satellite imagery, Real Time Kinematic GPS (RTK-GPS) and airborne Light Detection a

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Burvingt, Olivier, Bruno Castelle, Vincent Marieu, Bertrand Lubac, Alexandre Nicolae Lerma, and Nicolas Robin. "Using Pleiades Satellite Imagery to Monitor Multi-Annual Coastal Dune Morphological Changes." Remote Sensing 17, no. 9 (2025): 1522. https://doi.org/10.3390/rs17091522.

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In the context of sea levels rising, monitoring spatial and temporal topographic changes along coastal dunes is crucial to understand their dynamics since they represent natural barriers against coastal flooding and large sources of sediment that can mitigate coastal erosion. Different technologies are currently used to monitor coastal dune topographic changes (GNSS, UAV, airborne LiDAR, etc.). Satellites recently emerged as a new source of topographic data by providing high-resolution images with a rather short revisit time at the global scale. Stereoscopic or tri-stereoscopic acquisition of

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Yang, S., H. Pan, and T. Huang. "HIGH-RESOLUTION SATELLITE IMAGE TRIFOCAL TENSOR SOLUTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1607–12. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1607-2023.

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Abstract. This study presents an efficient algorithm for solving the affine trifocal tensor problem in high-resolution satellite imagery. Because the imaging mode of high-resolution satellites is usually a line-center projection and the field of view is small, it can be approximated as an affine camera for orientation. However, the nature of high-resolution satellite trifocal tensors has not been effectively studied or discussed. To address the shortcomings of the current trifocal tensor direct linear algorithm, this study proposes a minimally parameterized trifocal calculation method that can

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Hariyanto, Teguh, Akbar Kurniawan, Cherie Bhekti Pribadi, and Rizal Al Amin. "Optimization of Ground Control Point (GCP) and Independent Control Point (ICP) on Orthorectification of High Resolution Satellite Imagery." E3S Web of Conferences 94 (2019): 02008. http://dx.doi.org/10.1051/e3sconf/20199402008.

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In the rapidly evolving technology era, various survey methods have been widely used one of them by remote sensing using satellite. It is known that the satellite image recording process is covered by rides (satellites) moving over the Earth's surface at hundreds of kilometers, causing satellite imagery to have geometric distortion. To reduce the effect of geometric distortion of objects on the image, geometric correction by orthorectification is done. Pleiades is a satellite of high resolution satellite image producer made by Airbus Defense & Space company. The resulting satellite imagery

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Agrafiotis, P., and A. Georgopoulos. "COMPARATIVE ASSESSMENT OF VERY HIGH RESOLUTION SATELLITE AND AERIAL ORTHOIMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 1–7. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-1-2015.

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This paper aims to assess the accuracy and radiometric quality of orthorectified high resolution satellite imagery from Pleiades-1B satellites through a comparative evaluation of their quantitative and qualitative properties. A Pleiades-B1 stereopair of high resolution images taken in 2013, two adjacent GeoEye-1 stereopairs from 2011 and aerial orthomosaic (LSO) provided by NCMA S.A (Hellenic Cadastre) from 2007 have been used for the comparison tests. As control dataset orthomosaic from aerial imagery provided also by NCMA S.A (0.25m GSD) from 2012 was selected. The process for DSM and orthoi

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Adenan, Yandra Nofrizal, Yanda Novri, Antomi Yudi, and Yulfa Arie. "The Role of Satellite Imagery in the Acceleration of Regional Spatial Plans to Realize Sustainable Development in Indonesia." Journal of Interior Designing and Regional Planning (e-ISSN: 2581-9984) 5, no. 1 (2020): 1–6. https://doi.org/10.5281/zenodo.3742040.

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To encourage and implement the one map policy, Presidential regulation No. 9 of 2016 concerning the Acceleration of the implementation of One Map Policy scale 1: 50.000 to encourage the development of National Geospatial Information (IG) in their implementation of national development and support the realization of the nawacita priority agenda. To the implementation of the spatial planning one map IGT policy can be achieved, it is necessary to compile the spatial plan map, which includes basic maps, thematic maps and plan maps. This research aims to determine the role of remote sensing digital

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Prabowo, Yudhi, and Kenlo Nishida Nasahara. "DETECTING AND COUNTING COCONUT TREES IN PLEIADES SATELLITE IMAGERY USING HISTOGRAM OF ORIENTED GRADIENTS AND SUPPORT VECTOR MACHINE." International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, no. 1 (2019): 87. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3089.

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This paper describes the detection of coconut trees using very-high-resolution optical satellite imagery. The satellite imagery used in this study was a panchromatic band of Pleiades imagery with a spatial resolution of 0.5 metres. The authors proposed the use of a histogram of oriented gradients (HOG) algorithm as the feature extractor and a support vector machine (SVM) as the classifier for this detection. The main objective of this study is to find out the parameter combination for the HOG algorithm that could provide the best performance for coconut-tree detection. The study shows that the

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Burvingt, Olivier, Bruno Castelle, and Vincent Marieu. "INVESTIGATING THE USE OF PLEAIDES IMAGERY TO DERIVE COASTAL DUNE TOPOGRAPHY." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 221. https://doi.org/10.9753/icce.v38.management.221.

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Topographic data are widely used to monitor morphological changes over coastal areas and can be collected through different methods and techniques. DGPS data (Harley et al., 2011), airborne LiDAR data (Sallenger et al., 2001), and more recently, satellite imagery (Almeida and al., 2019) can be used to derive Digital Elevation Models (DEMs) for coastal studies. DEMs- derived from DGPS data have usually the best resolution (± 50 cm) and vertical accuracy (± 3 cm), but have a small beach coverage (few kilometers). Airborne LiDAR data offers a relatively good spatial resolution (1 m), an average v

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Ghuffar, S. "SATELLITE STEREO BASED DIGITAL SURFACE MODEL GENERATION USING SEMI GLOBAL MATCHING IN OBJECT AND IMAGE SPACE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 63–68. http://dx.doi.org/10.5194/isprsannals-iii-1-63-2016.

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This paper presents methodology and evaluation of Digital Surface Models (DSM) generated from satellite stereo imagery using Semi Global Matching (SGM) applied in image space and georeferenced voxel space. SGM is a well known algorithm, used widely for DSM generation from airborne and satellite imagery. SGM is typically applied in the image space to compute disparity map corresponding to a stereo image pair. As a different approach, SGM can be applied directly to the georeferenced voxel space similar to the approach of volumetric multi-view reconstruction techniques. The matching in voxel spac

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Ghuffar, S. "SATELLITE STEREO BASED DIGITAL SURFACE MODEL GENERATION USING SEMI GLOBAL MATCHING IN OBJECT AND IMAGE SPACE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 63–68. http://dx.doi.org/10.5194/isprs-annals-iii-1-63-2016.

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This paper presents methodology and evaluation of Digital Surface Models (DSM) generated from satellite stereo imagery using Semi Global Matching (SGM) applied in image space and georeferenced voxel space. SGM is a well known algorithm, used widely for DSM generation from airborne and satellite imagery. SGM is typically applied in the image space to compute disparity map corresponding to a stereo image pair. As a different approach, SGM can be applied directly to the georeferenced voxel space similar to the approach of volumetric multi-view reconstruction techniques. The matching in voxel spac

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Nurtyawan, Rian, and Nadia Fiscarina. "ASSESSMENT OF THE ACCURACY OF DEM FROM PANCHROMATIC PLEIADES IMAGERY (CASE STUDY: BANDUNG CITY. WEST JAVA)." International Journal of Remote Sensing and Earth Sciences (IJReSES) 17, no. 1 (2020): 34. http://dx.doi.org/10.30536/j.ijreses.2020.v17.a3329.

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Pleiades satellite imagery is very high resolution. with 0.5 m spatial resolution in the panchromatic band and 2.5 m in the multispectral band. Digital elevation models (DEM) are digital models that represent the shape of the Earth's surface in three-dimensional (3D) form. The purpose of this study was to assess DEM accuracy from panchromatic Pleaides imagery. The process conducted was orthorectification using ground control points (GCPs) and the rational function model with rational polynomial coefficient (RFC) parameters. The DEM extraction process employed photogrammetric methods with diffe

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Sadono, Ronggo, and Emma Soraya. "Enhancing the estimation accuracy of above-ground carbon storage in Eucalyptus urophylla plantation on Timor Island, Indonesia, through higher spatial-resolution satellite imagery." Journal of Degraded and Mining Lands Management 11, no. 3 (2024): 5623–34. http://dx.doi.org/10.15243/jdmlm.2024.113.5623.

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Eucalyptus urophylla plantation is an important contributor to carbon storage in climate change mitigation, established due to a land rehabilitation program in the semi-arid ecosystem in Timor Island. To ensure an accurate estimate of the above-ground carbon storage of these plantations, it is important to continuously combine ground measurement with remote sensing technology. Therefore, this study aimed to compare the above-ground carbon storage estimation of two very high spatial resolution images, namely Pleiades-1B 2021 and Pléiades Neo 2022 with pixel sizes of 2 x 2 m and 1.2 x 1.2 m, res

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Fundisi, E., and W. Musakwa. "BUILT-UP AREA AND LAND COVER EXTRACTION USING HIGH RESOLUTION PLEIADES SATELLITE IMAGERY FOR MIDRAND, IN GAUTENG PROVINCE, SOUTH AFRICA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1151–56. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1151-2017.

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Urban areas, particularly in developing countries face immense challenges such as climate change, poverty, lack of resources poor land use management systems, and week environmental management practices. Mitigating against these challenges is often hampered by lack of data on urban expansion, urban footprint and land cover. To support the recently adopted new urban agenda 2030 there is need for the provision of information to support decision making in the urban areas. Earth observation has been identified as a tool to foster sustainable urban planning and smarter cities as recognized by the n

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Ahmed, M., N. El-Sheimy, H. Leung, A. M. Kamel, and A. Moussa. "PERFORMANCE ASSESSMENT OF OBJECT DETECTION FROM MULTI SATELLITES AND AERIAL IMAGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (December 5, 2023): 763–70. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-763-2023.

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Abstract. Object detection in remote sensing imagery plays an important role in many applications, such as tracking and change detection. With the development of deep learning algorithms and advancement in hardware systems, improved accuracies have been achieved in the detection of various objects from remote sensing images. However, object detection across heterogeneous remote sensing imagery remains an important issue, particularly for satellite and aerial imagery. The colour variation for the same ground objects, variable resolutions, different platform heights, the parallax effect, and ima

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Hashim, H., Z. Abd Latif, and N. A. Adnan. "URBAN VEGETATION CLASSIFICATION WITH NDVI THRESHOLD VALUE METHOD WITH VERY HIGH RESOLUTION (VHR) PLEIADES IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 237–40. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-237-2019.

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Abstract. Recently the sensing data for urban mapping used is in high demand together with the accessible of very high resolution (VHR) satellite data such as Worldview and Pleiades. This article presents the use of very high resolution (VHR) remote sensing data for urban vegetation mapping. The research objectives were to assess the use of Pleiades imagery to extricate the data of urban vegetation in urban area of Kuala Lumpur. Normalized Difference Vegetation Index (NDVI) were employs with VHR data to find Vegetation Index for classification process of vegetation and non-vegetation classes.

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Watson, C. Scott, John R. Elliott, Ruth M. J. Amey, and Kanatbek E. Abdrakhmatov. "Analyzing Satellite-Derived 3D Building Inventories and Quantifying Urban Growth towards Active Faults: A Case Study of Bishkek, Kyrgyzstan." Remote Sensing 14, no. 22 (2022): 5790. http://dx.doi.org/10.3390/rs14225790.

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Earth observation (EO) data can provide large scale, high-resolution, and transferable methodologies to quantify the sprawl and vertical development of cities and are required to inform disaster risk reduction strategies for current and future populations. We synthesize the evolution of Bishkek, Kyrgyzstan, which experiences high seismic hazard, and derive new datasets relevant for seismic risk modeling. First, the urban sprawl of Bishkek (1979–2021) was quantified using built-up area land cover classifications. Second, a change detection methodology was applied to a declassified KeyHole Hexag

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Gim, Ju Hyeon, and Sang Hee Shin. "Evaluating positional accuracy of Pleiades 1A satellite imagery in exploiting foreign natural resources." Spatial Information Research 24, no. 2 (2016): 85–92. http://dx.doi.org/10.1007/s41324-016-0009-y.

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Liu, L. Y., and C. K. Wang. "BUILDING SEGMENTATION IN AGRICULTURAL LAND USING HIGH RESOLUTION SATELLITE IMAGERY BASED ON DEEP LEARNING APPROACH." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 587–94. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-587-2021.

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Abstract. Understanding building area in agricultural land is important since arable land area in Taiwan is limited. One of the practical ways is manual digitization on high resolution satellite imagery, which can avoid field investigation and achieve satisfying results. However, such practice is tedious and labor intensive. Past researches have shown that deep learning methods are useful to segment buildings in different cities using satellite imagery. In this study, ENVINet5 model was trained and used to segment buildings from high resolution Pleiades pansharpened imagery. The training image

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Yan, Jingli, Stijn Van der Linden, Yunyu Tian, Jo Van Valckenborgh, Veerle Strosse, and Ben Somers. "Characterizing Garden Greenspace in a Medieval European City: Added Values of Spatial Resolution and Multi-Temporal Stereo Imagery." Remote Sensing 14, no. 5 (2022): 1169. http://dx.doi.org/10.3390/rs14051169.

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Domestic gardens provide residents with immediate access to landscape amenities and numerous ecological provisions. These ecological provisions have been proven to be largely determined by greenspace composition and landscape, but the fragmentation and heterogeneity of garden environments present challenges to greenspace mapping. Here, we first developed a recognition method to create a garden parcel data set in the medieval Leuven city of Belgium, based on the land use layers and agricultural land parcels. Then, we applied multi-sourced satellite imagery to evaluate the added value of spatial

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Karal Nesil, Gül Nur, and Nebiye Musaoğlu. "Determination of litter accumulations in different rivers using Sentinel-2 and Pleiades data." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-5-2024 (March 12, 2025): 75–79. https://doi.org/10.5194/isprs-archives-xlviii-m-5-2024-75-2025.

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Abstract. Following events such as extreme precipitation, floods, storms and hurricanes, litter accumulation in rivers increases. After these events, it is important to identify the areas of litter accumulation in rivers to protect the aquatic ecosystem, prevent secondary disasters from occurring, and prevent this litter from being transported to the seas and oceans. This study aims to determine the areas of litter accumulation in rivers of different lengths after extreme precipitation events in different parts of the world using remote sensing data. Litter accumulations were investigated in t

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Romano, Giovanni, Giovanni Francesco Ricci, and Francesco Gentile. "Influence of Different Satellite Imagery on the Analysis of Riparian Leaf Density in a Mountain Stream." Remote Sensing 12, no. 20 (2020): 3376. http://dx.doi.org/10.3390/rs12203376.

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In recent decades, technological advancements in sensors have generated increasing interest in remote sensing data for the study of vegetation features. Image pixel resolution can affect data analysis and results. This study evaluated the potential of three satellite images of differing resolution (Landsat 8, 30 m; Sentinel-2, 10 m; and Pleiades 1A, 2 m) in assessing the Leaf Area Index (LAI) of riparian vegetation in two Mediterranean streams, and in both a winter wheat field and a deciduous forest used to compare the accuracy of the results. In this study, three different retrieval methods—t

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Catalão, João, Ana Navarro, and João Calvão. "Mapping Cork Oak Mortality Using Multitemporal High-Resolution Satellite Imagery." Remote Sensing 14, no. 12 (2022): 2750. http://dx.doi.org/10.3390/rs14122750.

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In the Mediterranean region, a significant decline in the vitality of vegetation has been observed in the last two decades, with a high forest mortality rate for several species. The increase in mortality has been attributed to water stress resulting from an increase in temperature and long periods of drought. To detect and quantify the impact of these events on tree mortality, an efficient and easy-to-use methodology for rapid damage assessment is required. Our study aims to assess the potential of high spatial resolution multispectral images from the Pleiades constellation to detect and map

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Brkić, Ivan, Marko Ševrović, Damir Medak, and Mario Miler. "Utilizing High Resolution Satellite Imagery for Automated Road Infrastructure Safety Assessments." Sensors 23, no. 9 (2023): 4405. http://dx.doi.org/10.3390/s23094405.

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The European Commission (EC) has published a European Union (EU) Road Safety Framework for the period 2021 to 2030 to reduce road fatalities. In addition, the EC with the EU Directive 2019/1936 requires a much more detailed recording of road attributes. Therefore, automatic detection of school routes, four classes of crosswalks, and divided carriageways were performed in this paper. The study integrated satellite imagery as a data source and the Yolo object detector. The satellite Pleiades Neo 3 with a spatial resolution of 0.3 m was used as the source for the satellite images. In addition, th

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Le Quilleuc, Alyson, Antoine Collin, Michael F. Jasinski, and Rodolphe Devillers. "Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2." Remote Sensing 14, no. 1 (2021): 133. http://dx.doi.org/10.3390/rs14010133.

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Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. Satellite-derived bathymetry represents a time saving method to map large shallow waters of remote regions compared to the current costly in situ measurement techniques. This study aims to create very high-resolution (VHR) bathymetry and habitat mapping in Mayotte island waters (Indian Ocean) by fusing 0.5 m Pleiades-1 passive multispectral imagery and active ICESat-2 LiDAR bathymetry. ICESat-2 georeferenced photons were filtered to remove noise and corrected for water column

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Almar, Rafael, Erwin W. J. Bergsma, Philippe Maisongrande, and Luis Pedro Melo de Almeida. "Wave-derived coastal bathymetry from satellite video imagery: A showcase with Pleiades persistent mode." Remote Sensing of Environment 231 (September 2019): 111263. http://dx.doi.org/10.1016/j.rse.2019.111263.

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Recanatesi, Fabio, Antonietta De Santis, Lorenzo Gatti, et al. "A Comparative Analysis of Spatial Resolution Sentinel-2 and Pleiades Imagery for Mapping Urban Tree Species." Land 14, no. 1 (2025): 106. https://doi.org/10.3390/land14010106.

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Urbanization poses significant challenges to ecosystems, resources, and human well-being, necessitating sustainable planning. Urban vegetation, particularly trees, provides critical ecosystem services such as carbon sequestration, air quality improvement, and biodiversity conservation. Traditional tree assessments are resource-intensive and time-consuming. Recent advances in remote sensing, especially high-resolution multispectral imagery and object-based image analysis (OBIA), offer efficient alternatives for mapping urban vegetation. This study evaluates and compares the efficacy of Sentinel

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Palaseanu-Lovejoy, Monica, Marina Bisson, Claudia Spinetti, Maria Fabrizia Buongiorno, Oleg Alexandrov, and Thomas Cecere. "High-Resolution and Accurate Topography Reconstruction of Mount Etna from Pleiades Satellite Data." Remote Sensing 11, no. 24 (2019): 2983. http://dx.doi.org/10.3390/rs11242983.

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The areas characterized by dynamic and rapid morphological changes need accurate topography information with frequent updates, especially if these are populated and involve infrastructures. This is particularly true in active volcanic areas such as Mount (Mt.) Etna, located in the northeastern portion of Sicily, Italy. The Mt. Etna volcano is periodically characterized by explosive and effusive eruptions and represents a potential hazard for several thousands of local people and hundreds of tourists present on the volcano itself. In this work, a high-resolution, high vertical accuracy digital

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Taveneau, Adélaïde, Rafaël Almar, Erwin W. J. Bergsma, et al. "Observing and Predicting Coastal Erosion at the Langue de Barbarie Sand Spit around Saint Louis (Senegal, West Africa) through Satellite-Derived Digital Elevation Model and Shoreline." Remote Sensing 13, no. 13 (2021): 2454. http://dx.doi.org/10.3390/rs13132454.

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Coastal erosion at Saint Louis in Senegal is affecting the local population that consists of primarily fishermen communities in their housing and their access to the sea. This paper aims at quantifying urban beach erosion at Saint Louis, Senegal, West Africa which is located on the northern end of the 13 km long Langue de Barbarie sand spit. The coastal evolution is examined quantitatively over a yearly period using Pleiades sub-metric satellite imagery that allows for stereogrammetry to derive Digital Elevation Models (DEMs). The comparison with ground truth data shows sub-metric differences

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Ayom, Widipaminto, Fridolin Hestrio Yohanes, Dian Safitri Yuvita, et al. "Roof materials identification based on pleiades spectral responses using supervised classification." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 2 (2021): pp. 690~704. https://doi.org/10.12928/TELKOMNIKA.v19i2.18155.

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The current urban environment is very dynamic and always changes both physically and socio-economically very quickly. Monitoring urban areas is one of the most relevant issues related to evaluating human impacts on environmental change. Nowadays remote sensing technology is increasingly being used in a variety of applications including mapping and modeling of urban areas. The purpose of this paper is to classify the Pleiades data for the identification of roof materials. This classification is based on data from satellite image spectroscopy results with very high resolution. Spectroscopy is a

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Widiyasuti, D., S. Y. Adhitama, B. O. Ali, and B. Aprillia. "Typology of planned housing in the city of Yogyakarta." IOP Conference Series: Earth and Environmental Science 1233, no. 1 (2023): 012074. http://dx.doi.org/10.1088/1755-1315/1233/1/012074.

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Abstract This paper examined the planned housing in Yogyakarta City distributed in eight sub-districts, namely Umbulharjo, Tegalrejo, Wirobrajan, Mergangsan, Mantrijeron, Kotagede, Gondokusuman, and Jetis. Planned housing in Yogyakarta City can be classified into a gated community and a non-gated community. They were commonly identified based on the similarity and regularity of the buildings and the road network. The data was taken from their Building Permit (IMB; Izin Mendirikan Bangunan) from the year 2000 – 2019, Google Street View, Pleiades Satellite Imagery of Yogyakarta City in 2018, Goo

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Gawehn, Matthijs, Rafael Almar, Erwin W. J. Bergsma, Sierd de Vries, and Stefan Aarninkhof. "Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video." Remote Sensing 14, no. 8 (2022): 1847. http://dx.doi.org/10.3390/rs14081847.

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Optical satellite images of the nearshore water surface offer the possibility to invert water depths and thereby constitute the underlying bathymetry. Depth inversion techniques based on surface wave patterns can handle clear and turbid waters in a variety of global coastal environments. Common depth inversion algorithms require video from shore-based camera stations, UAVs or Xband-radars with a typical duration of minutes and at framerates of 1–2 fps to find relevant wave frequencies. These requirements are often not met by satellite imagery. In this paper, satellite imagery is augmented from

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Kupidura, Przemysław. "The Comparison of Different Methods of Texture Analysis for Their Efficacy for Land Use Classification in Satellite Imagery." Remote Sensing 11, no. 10 (2019): 1233. http://dx.doi.org/10.3390/rs11101233.

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The paper presents a comparison of the efficacy of several texture analysis methods as tools for improving land use/cover classification in satellite imagery. The tested methods were: gray level co-occurrence matrix (GLCM) features, Laplace filters and granulometric analysis, based on mathematical morphology. The performed tests included an assessment of the classification accuracy performed based on spectro-textural datasets: spectral images with the addition of images generated using different texture analysis methods. The class nomenclature was based on spectral and textural differences and

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Victor, Aghimien Ehimwenma. "Above-ground carbon stock estimation using pleiades satellite imagery of the secondary forest ecosystem in Ibadan, Nigeria." Forestry Research and Engineering: International Journal 3, no. 2 (2019): 46–54. http://dx.doi.org/10.15406/freij.2019.03.00077.

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Secondary forest ecosystem contributes to global climate change mitigation through carbon sequestration. Above-Ground Biomass (AGB) is the major component for monitoring and estimating Carbon Stocks (CS) and fluxes in tropical forests. However, information on Above-Ground Carbon Stock (AGCS) for the International Institute of Tropical Agriculture (IITA), which hosts relics of the undisturbed secondary forest ecosystem in south-western Nigeria, has not been documented. Therefore, AGCS of the secondary forest ecosystem was estimated using remote sensing techniques. Pleiades satellite data were u

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Kai, Kombo H., Julius Francis, and Yohanna W. Shaghude. "Assessment of tropical cyclone-induced shoreline and riverbank changes at the Rufiji Delta using satellite remote sensing methods." Western Indian Ocean Journal of Marine Science 21, no. 1 (2022): 51–63. http://dx.doi.org/10.4314/wiojms.v21i1.4.

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The study aimed at quantifying changes in shoreline and riverbanks caused by tropical cyclones (TCs) and associated rainfall in the Rufiji Delta, southern Tanzania. Long term changes of the shoreline and riverbanks were analysed using medium resolution (Landsat TM and ETM) satellite imagery (1991, 1997 and 2007), while short-term changes (2013 to 2014) were analysed using high resolution (Pleiades) satellite imagery. Delineation of the shoreline and riverbank changes were accomplished through the analysis of appropriate coloured image composites, Sobel filtering and maximum likelihood classifi

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Stopic, Renato, Eduardo Dias, Maurice de Kleijn, and Eric Koomen. "Satellite parking: a new method for measuring parking occupancy." AGILE: GIScience Series 4 (June 6, 2023): 1–5. http://dx.doi.org/10.5194/agile-giss-4-44-2023.

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Abstract. Parking management plays a critical role in keeping urban spaces accessible and urban managers strive for an optimal balance between not enough and too much parking. Deciding which parking space can be liberated or needs to be extended requires detailed data on parking occupancy trends. In person inspection and in-situ sensors can provide such data but are too costly for city wide deployment. High-resolution satellite imagery is becoming more affordable, has the advantage of instantaneously collecting information from the whole city, is continuously being updated, and available for s

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Hu, Mengjin, Zhao Liu, Yaohuan Huang, Mengju Wei, and Bo Yuan. "Estimation of Rooftop Solar Photovoltaic Potential Based on High-Resolution Images and Digital Surface Models." Buildings 13, no. 11 (2023): 2686. http://dx.doi.org/10.3390/buildings13112686.

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Buildings are important components of urban areas, and the construction of rooftop photovoltaic systems plays a critical role in the transition to renewable energy generation. With rooftop solar photovoltaics receiving increased attention, the problem of how to estimate rooftop photovoltaics is under discussion; building detection from remote sensing images is one way to address it. In this study, we presented an available approach to estimate a building’s rooftop solar photovoltaic potential. A rapid and accurate rooftop extraction method was developed using object-based image classification

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Gahlot, N., M. Dhara, and G. Prusty. "ACCURACY EVALUATION OF VARIOUS SATELLITE IMAGERY PRODUCTS FOR LARGE SCALE TOPOGRAPHIC MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 105–10. http://dx.doi.org/10.5194/isprs-archives-xlii-5-105-2018.

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<p><strong>Abstract.</strong> DEM and ortho-imageries are building blocks for topographic mapping and satellite imageries are prime source of data for inaccessible terrain. When the required mapping scale is of the order 10k or higher, the accuracy needed is also of higher order. It becomes imperative to evaluate the accuracy of available high resolution DEMs and corresponding imageries to provide quality products for mapping. The present study is encouraged by the fact that not every place of our earth is accessible, so an assessment of satellite data products is required fo

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Nmiss, M'hamed, Mhamed Amyay, Nadia Atiki, Mahjoub Benbih, Hassan Nait-Si, and El miloudiya Naji. "Multidecadal evolution of the shoreline change at Agadir beach (Morocco): A GIS and high-resolution satellite imagery analysis." Pesquisas em Geociências 52, no. 1 (2025): e145533. https://doi.org/10.22456/1807-9806.145533.

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Beaches are extremely fragile and dynamic natural environments, where waves, coastal currents, and winds perpetually deposit and move sediments. The evolution of these beaches can only be envisaged by monitoring coastline dynamics at different spatiotemporal scales. In recent years, the use of high-resolution satellite images and GIS has become an indispensable tool for assessing beach evolutionary trends. In this contribution, we emphasize the importance of these new technologies for monitoring shoreline evolution on highly anthropized beaches, focusing on the case of Agadir beach on Morocco'

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d’Angelo, Pablo. "IMPROVING SEMI-GLOBAL MATCHING: COST AGGREGATION AND CONFIDENCE MEASURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 299–304. http://dx.doi.org/10.5194/isprsarchives-xli-b1-299-2016.

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Digital elevation models are one of the basic products that can be generated from remotely sensed imagery. The Semi Global Matching (SGM) algorithm is a robust and practical algorithm for dense image matching. The connection between SGM and Belief Propagation was recently developed, and based on that improvements such as correction of over-counting the data term, and a new confidence measure have been proposed. Later the MGM algorithm has been proposed, it aims at improving the regularization step of SGM, but has only been evaluated on the Middlebury stereo benchmark so far. This paper evaluat

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d’Angelo, Pablo. "IMPROVING SEMI-GLOBAL MATCHING: COST AGGREGATION AND CONFIDENCE MEASURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 299–304. http://dx.doi.org/10.5194/isprs-archives-xli-b1-299-2016.

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Digital elevation models are one of the basic products that can be generated from remotely sensed imagery. The Semi Global Matching (SGM) algorithm is a robust and practical algorithm for dense image matching. The connection between SGM and Belief Propagation was recently developed, and based on that improvements such as correction of over-counting the data term, and a new confidence measure have been proposed. Later the MGM algorithm has been proposed, it aims at improving the regularization step of SGM, but has only been evaluated on the Middlebury stereo benchmark so far. This paper evaluat

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Arini, Dwi, Quinoza Guvil, and Nur Wahidah. "Land cover identification using Pleiades satellite imagery by comparison of NDVI and BI method in Jatinangor, West Java." IOP Conference Series: Earth and Environmental Science 500 (July 4, 2020): 012007. http://dx.doi.org/10.1088/1755-1315/500/1/012007.

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Dimov, Dimo, and Patrick Noack. "Exploring the Potential of Multi-Temporal Crop Canopy Models and Vegetation Indices from Pleiades Imagery for Yield Estimation." Remote Sensing 15, no. 16 (2023): 3990. http://dx.doi.org/10.3390/rs15163990.

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In this paper, we demonstrate the capabilities of Pleiades-1a imagery for very high resolution (VHR) crop yield estimation by utilizing the predictor variables from the horizontal-spectral information, through Normalized Difference Vegetation Indices (NDVI), and the vertical-volumetric crop characteristics, through the derivation of Crop Canopy Models (CCMs), from the stereo imaging capacity of the satellite. CCMs captured by Unmanned Aerial Vehicles are widely used in precision farming applications, but they are not suitable for the mapping of large or inaccessible areas. We further explore t

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Palama, R., O. Monserrat, B. Crippa, et al. "Radargrammetry DEM Generation Using High-Resolution SAR Imagery Over La Palma During the 2021 Cumbre Vieja Volcanic Eruption." IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 20 (January 1, 2023): 4000705. https://doi.org/10.1109/LGRS.2023.3238182.

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This letter aims at investigating the potential of high-resolution (up to 0.7 x 0.5 m(2)) synthetic aperture radar (SAR) images in generating digital elevation models (DEMs) using the radargrammetry technique. In this work, we process two SAR images recorded by the Capella Space X-band satellite borne radar sensor on two consecutive days, October 2 and 3, 2021, over La Palma (Canary Islands, Spain) during the Cumbre Vieja volcanic eruption. We adopt an iterative point aggregation algorithm to identify matching pixels between the two images; then, the height estimation is performed using a dist

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Hidayat, Sarip, Masayuki MATSUOKA, Sumbangan Baja, and Dorothea Agnes Rampisela. "Object-Based Image Analysis for Sago Palm Classification: The Most Important Features from High-Resolution Satellite Imagery." Remote Sensing 10, no. 8 (2018): 1319. http://dx.doi.org/10.3390/rs10081319.

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Sago palm (Metroxylon sagu) is a palm tree species originating in Indonesia. In the future, this starch-producing tree will play an important role in food security and biodiversity. Local governments have begun to emphasize the sustainable development of sago palm plantations; therefore, they require near-real-time geospatial information on palm stands. We developed a semi-automated classification scheme for mapping sago palm using machine learning within an object-based image analysis framework with Pleiades-1A imagery. In addition to spectral information, arithmetic, geometric, and textural

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Amirgan, B., B. Awad, I. Erer, and N. Musaoğlu. "A COMPARATIVE STUDY FOR BUILDING SEGMENTATION IN REMOTE SENSING IMAGES USING DEEP NETWORKS: CSCRS ISTANBUL BUILDING DATASET AND RESULTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 1–6. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-1-2022.

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Abstract. Building semantic segmentation is an exceedingly important issue in the field of remote sensing. A new building dataset as created consisting of very high-resolution optical satellite images provided by the Center for Satellite Communications and Remote Sensing (CSCRS). The imagery is obtained by Pleiades satellite and have a resolution of 0.5 meters. Segmentation results have been obtained using post-FCN architectures. Architectures examined in this work fall under one of few categories. The first category is Encoder-Decoder Network: an encoder that reduces the spatial resolution of

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James, D., A. Collin, A. Mury, and S. Costa. "VERY HIGH RESOLUTION LAND USE AND LAND COVER MAPPING USING PLEIADES-1 STEREO IMAGERY AND MACHINE LEARNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 675–82. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-675-2020.

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Abstract. Anthropocene is featured with increasing human population and global changes that strongly affect landscapes at an unprecedented pace. As a flagship, the coastal fringe is subject to an accelerated conversion of natural areas into agricultural ones, in turn, into urban ones, generating hazardous soil artificialization. Very high resolution (VHR) technologies such as airborne LiDAR or UAV imageries are good assets to model the topography and classify the land use/land cover (LULC), helping local management. Even if their spatial resolution suits with the management scale, their extent

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Aksu, Gül Aslı, Şermin Tağıl, Nebiye Musaoğlu, Emel Seyrek Canatanoğlu, and Adnan Uzun. "Landscape Ecological Evaluation of Cultural Patterns for the Istanbul Urban Landscape." Sustainability 14, no. 23 (2022): 16030. http://dx.doi.org/10.3390/su142316030.

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With the widespread population growth in cities, anthropogenic influences inevitably lead to natural disturbances. The metropolitan area of Istanbul, with its rapid urbanization rate, has faced intense pressure regarding the sustainability of urban habitats. In this context, landscapes comprising patches affected by various disturbances and undergoing temporal changes must be analyzed, in order to assess city-related disturbances. In this study, the main objective was to understand how urbanization changed the function of the spatial distribution of the urban mosaic and, more specifically, its

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Iswanto, B. H., A. Fauzan, and G. D. Yudha. "Classification of Satellite Imagery for Identifying Land-Cover Objects using ECW Compression Images: The Case of Makassar City Area." Journal of Physics: Conference Series 2377, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2377/1/012017.

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This paper presents a case study on the effect of lossy compression using the Enhanced Compressed Wavelet (ECW) format on remote sensing image classification. ECW was chosen because it is widely used as a standard format for storing aerial and satellite imagery. The case study was conducted on a high-resolution multispectral Pleiades image taken from an area in Makassar, Indonesia. Image classification is performed using the geographic object-based image analysis method, where a simple linear iterative clustering (SLIC) algorithm is implemented for segmentation before classification. Six land

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Njimi, Houssem, Nesrine Chehata, and Frédéric Revers. "Fusion of Dense Airborne LiDAR and Multispectral Sentinel-2 and Pleiades Satellite Imagery for Mapping Riparian Forest Species Biodiversity at Tree Level." Sensors 24, no. 6 (2024): 1753. http://dx.doi.org/10.3390/s24061753.

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Multispectral and 3D LiDAR remote sensing data sources are valuable tools for characterizing the 3D vegetation structure and thus understanding the relationship between forest structure, biodiversity, and microclimate. This study focuses on mapping riparian forest species in the canopy strata using a fusion of Airborne LiDAR data and multispectral multi-source and multi-resolution satellite imagery: Sentinel-2 and Pleiades at tree level. The idea is to assess the contribution of each data source in the tree species classification at the considered level. The data fusion was processed at the fe

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Nikolakopoulos, Konstantinos, Aggeliki Kyriou, Ioannis Koukouvelas, Vasiliki Zygouri, and Dionysios Apostolopoulos. "Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island." ISPRS International Journal of Geo-Information 8, no. 11 (2019): 489. http://dx.doi.org/10.3390/ijgi8110489.

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Coastline evolution is a proxy of coastal erosion, defined as the wasting of land along the shoreline due to a combination of natural and/or human causes. For countries with a sea border, where a significant proportion of the population lives in coastal areas, shoreline retreat has become a very serious global problem. Remote sensing data and photogrammetry have been used in coastal erosion mapping for many decades. In the current study, multi-date analogue aerial photos, digital aerial photos, and declassified satellite imagery provided by the U.S. Geological Survey (USGS), Pleiades satellite

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