Relevant bibliographies by topics / M3C2 surface change detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'M3C2 surface change detection'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "M3C2 surface change detection"

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Zahs, V., L. Winiwarter, K. Anders, et al. "EVALUATION OF UAV-BORNE PHOTOGRAMMETRY AND LASER SCANNING FOR 3D TOPOGRAPHIC CHANGE ANALYSIS AT AN ACTIVE ROCK GLACIER." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 1109–16. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-1109-2022.

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Abstract. Point clouds derived from UAV-borne laser scanning and UAV-borne photogrammetry provide new opportunities for 3D topographic monitoring in geographic research. The airborne acquisition strategy overcomes common challenges of ground-based techniques, such as limited spatial coverage or heterogeneous measurement distribution, and allows flexible repeated acquisitions at high temporal and spatial resolution. While UAV-borne 3D sensing techniques are expected to thereby enhance geographic monitoring, their specific potential for methods and algorithms of 3D change analysis is yet to be i
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Nourbakhshbeidokhti, Samira, Alicia Kinoshita, Anne Chin, and Joan Florsheim. "A Workflow to Estimate Topographic and Volumetric Changes and Errors in Channel Sedimentation after Disturbance." Remote Sensing 11, no. 5 (2019): 586. http://dx.doi.org/10.3390/rs11050586.

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Light Detection and Ranging (LiDAR) methods, such as ground-based Terrestrial Laser Scanning (TLS), have enabled collection of high-resolution point clouds of elevation data to calculate changes in fluvial systems after disturbance, but are often accompanied by uncertainty and errors. This paper reviews and compares TLS analysis methods and develops a workflow to estimate topographic and volumetric changes in channel sedimentation after disturbance. Four analytic methods to estimate topographic and volumetric changes were compared by quantifying the uncertainty in TLS-derived products: Digital
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Winiwarter, Lukas, Katharina Anders, Daniel Czerwonka-Schröder, and Bernhard Höfle. "Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering." Earth Surface Dynamics 11, no. 4 (2023): 593–613. http://dx.doi.org/10.5194/esurf-11-593-2023.

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Abstract. Four-dimensional (4D) topographic point clouds contain information on surface change processes and their spatial and temporal characteristics, such as the duration, location, and extent of mass movements. To automatically extract and analyze changes and patterns in surface activity from this data, methods considering the spatial and temporal properties are required. The commonly used model-to-model cloud comparison (M3C2) point cloud distance reduces uncertainty through spatial averaging for bitemporal analysis. To extend this concept into the full spatiotemporal domain, we use a Kal
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Duffy, James, Jamie Shutler, Matthew Witt, Leon DeBell, and Karen Anderson. "Tracking Fine-Scale Structural Changes in Coastal Dune Morphology Using Kite Aerial Photography and Uncertainty-Assessed Structure-from-Motion Photogrammetry." Remote Sensing 10, no. 9 (2018): 1494. http://dx.doi.org/10.3390/rs10091494.

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Coastal dunes are globally-distributed dynamic ecosystems that occur at the land-sea interface. They are sensitive to disturbance both from natural forces and anthropogenic stressors, and therefore require regular monitoring to track changes in their form and function ultimately informing management decisions. Existing techniques employing satellite or airborne data lack the temporal or spatial resolution to resolve fine-scale changes in these environments, both temporally and spatially whilst fine-scale in-situ monitoring (e.g., terrestrial laser scanning) can be costly and is therefore confi
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Williams, Jack G., Nick J. Rosser, Richard J. Hardy, Matthew J. Brain, and Ashraf A. Afana. "Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency." Earth Surface Dynamics 6, no. 1 (2018): 101–19. http://dx.doi.org/10.5194/esurf-6-101-2018.

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Abstract. We present a monitoring technique tailored to analysing change from near-continuously collected, high-resolution 3-D data. Our aim is to fully characterise geomorphological change typified by an event magnitude–frequency relationship that adheres to an inverse power law or similar. While recent advances in monitoring have enabled changes in volume across more than 7 orders of magnitude to be captured, event frequency is commonly assumed to be interchangeable with the time-averaged event numbers between successive surveys. Where events coincide, or coalesce, or where the mechanisms dr
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Luo, Weidong, Shu Gan, Xiping Yuan, et al. "Repeated UAV Observations and Digital Modeling for Surface Change Detection in Ring Structure Crater Margin in Plateau." Drones 7, no. 5 (2023): 298. http://dx.doi.org/10.3390/drones7050298.

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As UAV technology has been leaping forward, small consumer-grade UAVs equipped with optical sensors are capable of easily acquiring high-resolution images, which show bright prospects in a wide variety of terrains and different fields. First, the crater rim landscape of the Dinosaur Valley ring formation located on the central Yunnan Plateau served as the object of the surface change detection experiment, and two repetitive UAV ground observations of the study area were performed at the same altitude of 180 m with DJI Phantom 4 RTK in the rainy season (P1) and the dry season (P2). Subsequently
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Blanch, Xabier, Anette Eltner, Marta Guinau, and Antonio Abellan. "Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras." Remote Sensing 13, no. 8 (2021): 1460. http://dx.doi.org/10.3390/rs13081460.

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Photogrammetric models have become a standard tool for the study of surfaces, structures and natural elements. As an alternative to Light Detection and Ranging (LiDAR), photogrammetry allows 3D point clouds to be obtained at a much lower cost. This paper presents an enhanced workflow for image-based 3D reconstruction of high-resolution models designed to work with fixed time-lapse camera systems, based on multi-epoch multi-images (MEMI) to exploit redundancy. This workflow is part of a fully automatic working setup that includes all steps: from capturing the images to obtaining clusters from c
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Wang, Jiapan, Rasoul Eskandari, ChengHan Lin, et al. "Investigation of Riverbank Peat Erosion in a small Alpine catchment by Multi-Temporal Point Cloud Change Analysis and Time Series Clustering." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-G-2025 (July 14, 2025): 937–44. https://doi.org/10.5194/isprs-annals-x-g-2025-937-2025.

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Abstract. Peatlands play an important role as local carbon sinks and climate archives in natural environments. In addition to degradation by human activities, peatlands can also be affected by geomorphological processes such as fluvial erosion. This study used a collection of multi-temporal 3D point clouds to investigate such a situation in a valley of the Central Alps (Austria), where a dynamically migrating river is eroding peat. To detect time periods and locations where strong erosion occurred and to quantify the local peat erosion rate over the years 2006 to 2024, 3D point clouds from air
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Bernard, Thomas G., Dimitri Lague, and Philippe Steer. "Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data." Earth Surface Dynamics 9, no. 4 (2021): 1013–44. http://dx.doi.org/10.5194/esurf-9-1013-2021.

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Abstract. Efficient and robust landslide mapping and volume estimation is essential to rapidly infer landslide spatial distribution, to quantify the role of triggering events on landscape changes, and to assess direct and secondary landslide-related geomorphic hazards. Many efforts have been made to develop landslide mapping methods, based on 2D satellite or aerial images, and to constrain the empirical volume–area (V–A) relationship which, in turn, would allow for the provision of indirect estimates of landslide volume. Despite these efforts, major issues remain, including the uncertainty in
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Lercari, Nicola, Denise Jaffke, Arianna Campiani, et al. "Building Cultural Heritage Resilience through Remote Sensing: An Integrated Approach Using Multi-Temporal Site Monitoring, Datafication, and Web-GL Visualization." Remote Sensing 13, no. 4130 (2021): 1–24. https://doi.org/10.3390/rs13204130.

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In the American West, wildfires and earthquakes are increasingly threatening the archaeological, historical, and tribal resources that define the collective identity and connection with the past for millions of Americans. The loss of said resources diminishes societal understanding of the role cultural heritage plays in shaping our present and future. This paper examines the viability of employing stationary and SLAM-based terrestrial laser scanning, close-range photogrammetry, automated surface change detection, GIS, and WebGL visualization techniques to enhance the preservation of cultural r
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Dissertations / Theses on the topic "M3C2 surface change detection"

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Armstrong, Lindsay Faye. "Thaw Slump Activity Via Close-range ‘Structure from Motion’ in Time-lapse Using Ground-based Autonomous Cameras." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36885.

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Northwestern Arctic Canada is one of the most rapidly warming regions in the Arctic (Serreze et al., 2009). Retrogressive thaw slumps (RTS) are one of the most dramatic thermokarst features in permafrost terrain (Kokelj et al., 2013). Many studies have focused on describing the distribution of thermokarst landscapes (i.e., Olefeldt et al., 2016), as well as change in thermokarst terrain over the historical record (i.e., Kokelj and Jorgenson, 2013). However, improved high temporal and spatial resolution monitoring of thaw slump activity is required to enhance our understanding of factors govern
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Henry, Robert Stuart. "Artefact detection and measurement of surface change in stereophotogrammetry Data." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646848.

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The diagnosis and treatment planning of disease may require image data acquisition using a range of 3D medical imaging modalities. These modalities include computed tomography, magnetic resonance, single photon emission computed tomography and positron-emission tomography. In combining images from such modalities, clinicians are provided with aligned data sets that have structural and functional information from within the body. However, no external textural data of the body surface (skin, wounds, and surface disease) is collected. Stereophotogrammetry can produce high resolution topographical
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Bergsjö, Joline. "Photogrammetric point cloud generation and surface interpolation for change detection." Thesis, KTH, Geodesi och satellitpositionering, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190882.

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In recent years the science revolving image matching algorithms has gotten an upswing mostly due to its benefits in computer vision. This has led to new opportunities for photogrammetric methods to compete with LiDAR data when it comes to 3D-point clouds and generating surface models. In Sweden a project to create a high resolution national height model started in 2009 and today almost the entirety of Sweden has been scanned with LiDAR sensors. The objective for this project is to achieve a height model with high spatial resolution and high accuracy in height. As for today no update of this mo
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Martin, Elaine B. "The detection of change in spatial processes with environmental applications." Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361063.

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Ever since Halley (1686) superimposed onto a map of land forms. the direction of trade winds and monsoons between and near the tropics and attempted to assign them a physical cause. homo-sapiens has attempted to develop procedures which quantify the level of change in a spatial process. or assess the relationship between associated spatially measured variables. Most spatial data. whether it be originally point. linear or areal in nature. can be converted by a suitable procedure into a continuous form and plotted as an isarithmic map i.e. points of equal height are joined. Once in that form it
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Renzullo, Luigi John. "Radiometric processing of multitemporal sequences of satellite imagery for surface reflectance retrievals in change detection studies." Thesis, Curtin University, 2004. http://hdl.handle.net/20.500.11937/2075.

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A relative, lie-value image normalisation (LVIN) procedure was investigated as a means of estimating surface reflectances from sequences of Landsat TM and ETM+ imagery, and standardising image data for change detection studies when there are uncertainties in sensor calibration and atmospheric parameters over time. The basis of the LVIX procedure is that for an A-date sequence, the digital numbers (DNs) of N-1 overpass images can be mapped to the reflectance values of a reference image for a set of pseudo- invariant targets (PITs) common to all images in the sequence. The robust M-estimator was
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Renzullo, Luigi John. "Radiometric processing of multitemporal sequences of satellite imagery for surface reflectance retrievals in change detection studies." Curtin University of Technology, Department of Applied Physics, 2004. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=15737.

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A relative, lie-value image normalisation (LVIN) procedure was investigated as a means of estimating surface reflectances from sequences of Landsat TM and ETM+ imagery, and standardising image data for change detection studies when there are uncertainties in sensor calibration and atmospheric parameters over time. The basis of the LVIX procedure is that for an A-date sequence, the digital numbers (DNs) of N-1 overpass images can be mapped to the reflectance values of a reference image for a set of pseudo- invariant targets (PITs) common to all images in the sequence. The robust M-estimator was
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Mora, Omar Ernesto. "Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429861576.

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Cochran, Nancy E. "Detection of Urban Heat Islands in the Great Lakes Region with GLOBE Student Surface Temperature Measurements." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418421488.

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Guérin, Cyrielle. "Génération de modèles numériques de surface et détection de changements 3D à partir d'imagerie satellite stéréoscopique très haute résolution." Electronic Thesis or Diss., Paris 5, 2014. http://www.theses.fr/2014PA05S003.

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L'imagerie satellite permet aujourd'hui l'acquisition d'un nombre croissant de données dont l'augmentation des résolutions spatiale et temporelle permet de caractériser de plus en plus finement une scène et son évolution. Dans ce contexte, les méthodes de détection des changements apparus entre deux scènes sont particulièrement étudiées. Elles sont généralement basées sur les différences radiométriques entre les images. Cependant, ces méthodes s'avèrent souvent peu robustes à des changements radiométriques non pertinents tels que ceux induits par la variation des conditions d'acquisition des i
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MASTRO, PIETRO. "Innovative Techniques for the Retrieval of Earth’s Surface and Atmosphere Geophysical Parameters: Spaceborne Infrared/Microwave Combined Analyses." Doctoral thesis, Università degli studi della Basilicata, 2023. https://hdl.handle.net/11563/162986.

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With the advent of the first satellites for Earth Observation: Landsat-1 in July 1972 and ERS-1 in May 1991, the discipline of environmental remote sensing has become, over time, increasingly fundamental for the study of phenomena characterizing the planet Earth. The goal of environmental remote sensing is to perform detailed analyses and to monitor the temporal evolution of different physical phenomena, exploiting the mechanisms of interaction between the objects that are present in an observed scene and the electromagnetic radiation detected by sensors, placed at a distance from the scene, o
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Books on the topic "M3C2 surface change detection"

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Centre, Haryana Space Applications. Change detection study of traditional surface water bodies in southern part of Haryana using space technology. Haryana Space Applications Centre (HARSAC), 2014.

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Jet Propulsion Laboratory (U.S.) and Rosenstiel School of Marine and Atmospheric Science., eds. SAR interferometry and surface change detection: Report of a workshop held in Boulder, Colorado, February 3-4, 1994. RSMAS, 1995.

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Carlson, Toby N. A remotely sensed index of deforestation/urbanization for use in climate models: Annual performance report for the period 1 January 1995 - 31 December 1995. Pennsylvania State University, 1995.

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Carlson, Toby N. A remotely sensed index of deforestation/urbanization for use in climate models: Annual performance report for the period 1 January 1995 - 31 December 1995. Pennsylvania State University, 1995.

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Remotely sensed index of deforestation/urbanization for use in climate models: Annual performance report for the period 1 January 1996 - 31 December 1996 for NASA grant no. NAGW-4250. Pennsylvania State University, Office of Sponsored Programs, 1996.

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Book chapters on the topic "M3C2 surface change detection"

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Misbah, Pathan, Jhummarwala Abdul, and Dave Dhruv. "Change Detection on Earth’s Surface Using Machine Learning: A Survey." In Computer Vision and Robotics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7892-0_30.

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Bopche, Ghanshyam S., and Babu M. Mehtre. "Change-Point Detection in Enterprise Attack Surface for Network Hardening." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2538-6_49.

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Imtiaj, Arshib, Md Hasibul Hasan, Md Mostafizur Rahman, Md Salah Uddin, and Saeid Eslamian. "Detection of Land Surface Temperature in the Northwest Part of Bangladesh." In Handbook of Climate Change Impacts on River Basin Management. CRC Press, 2024. http://dx.doi.org/10.1201/9781003473398-16.

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Satheesh, P., B. Srinivas, and P. Rama Santosh Naidu. "Gaussian Scale Concept to Reduce the Computation in Detection of Surface Defects in Machine Vision." In Advanced Technologies and Societal Change. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4044-6_14.

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Arekhi, Maliheh. "Investigating Land Surface Temperature (LST) Change Using the LST Change Detection Technique (Gomishan District, Iran)." In Advances in Remote Sensing and Geo Informatics Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01440-7_32.

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Ahmad, Alwaaz, Sudhansu Kumar Mishra, Rohit Kumar, K. K. Senapati, and Sitanshu Shekhar Sahu. "Surface Water Change Detection over Years Through Modified HSV-Based Color Thresholding." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2647-2_32.

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Bijeesh, T. V., and K. N. Narasimhamurthy. "A Generic Framework for Change Detection on Surface Water Bodies Using Landsat Time Series Data." In Computational Vision and Bio-Inspired Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6862-0_26.

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Malekian, Arsalan, Davide Fugazza, and Marco Scaioni. "3D Surface Reconstruction and Change Detection of Miage Glacier (Italy) from Multi-date Archive Aerial Photos." In Computational Science and Its Applications – ICCSA 2022 Workshops. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10545-6_31.

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Misra, Indranil, Mukesh Kumar Rohil, S. Manthira Moorthi, and Debajyoti Dhar. "Mars Surface Multi-decadal Change Detection Using ISRO’s Mars Color Camera (MCC) and Viking Orbiter Images." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1103-2_3.

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Parmar, Shivani, Pawan Kumar Thakur, Monika Chauhan, and Renu Lata. "Land Use Land Cover Change Detection and Its Impact on Land Surface Temperature of Malana Watershed Kullu, Himachal Pradesh, India." In Remote Sensing and Geographic Information Systems for Policy Decision Support. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7731-1_11.

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Conference papers on the topic "M3C2 surface change detection"

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Chu, Meng, Shuyin Liu, and Chunyue Lyu. "NDVI-based trends change detection of surface greenness in Sichuan." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui. SPIE, 2024. http://dx.doi.org/10.1117/12.3048632.

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Hunt, J. H. "Detection of Corrosion On-Set by Optical Second Harmonic Generation." In CORROSION 1994. NACE International, 1994. https://doi.org/10.5006/c1994-94338.

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Abstract This paper discusses the basic operating principles of the Surface Second Harmonic Generation (SSHG) technique and its application to the remote in-situ detection of low levels of surface corrosion. SSHG is a nonlinear-optical technique which is surface sensitive. As an optical technique, SSHG is nonintrusive, noninvasive and nondestructive. In comparison, the vast majority of surface sensitive techniques which could detect corrosion onset require an ultra-high vacuum environment. SSHG technique has spectroscopic capability. Formation of an iron oxide or other species due to corrosion
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Xi, Chen, Zhao Qi-Jun, Ma Yi-Yang, and Wang Bo. "Mechanism Analyses on Aeroacoustic Characteristics of Iced Rotor for Ice Detection." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12281.

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Based on mechanism analyses on aeroacoustic characteristics of iced rotors, a new icing detection method is proposed, and a corresponding numerical method for calculating aeroacoustic characteristics of iced rotors is developed. Firstly, the CFD simulation method for 3-D flowfield around the blade is established by solving the unsteady RANS equations. Using the Eulerian approach, the conservation equations of mass and momentum are solved to obtain the droplet flowfield properties. Then, combined with the characters of rotor blade motion, a 3-D icing model considering influences of centrifugal
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Cheng, Baofeng, Kenneth Brentner, Yiqiang Han, Jose Palacios, and Philip Morris. "Quantification of Rotor Surface Roughness due to Ice Accretion via Broadband Noise Measurement." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9411.

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The change of rotor broadband noise due to different surface roughness heights is investigated. The goal of the present work is to quantify the surface roughness at the early stage of helicopter rotor ice accretion through acoustic measurement. Proof-of-concept measurements have been performed in the Adverse Environment Rotor Test Stand (AERTS) facility at The Pennsylvania State University to explore the effect of different surface roughness heights on rotor broadband noise. First, sand paper with different grit sizes is applied to the leading edge of the blade to represent different surface r
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Nwaogu, Chukwudi, Babatunde Alabi, Nasir A. Uma, Bridget E. Diag, Victor A. Agidi, and Chinwe G. Onwuagb. "LAND USE-COVER CHANGE TRAJECTORY AND IMPLICATION ON THE AGRICULTURAL AREAS OF SAO PAULO CITY: A GEOINFORMATICS APPROACH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.17.

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Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery dataset from four distinct years were mapped: 1992 (Landsat TM), 2002 (Landsat ETM+),
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Jeng, Sheng-Yuan, Chiung-Tse Juan, and Wen-Ta Tsai. "Prediction of Pickling Performance of 410 SS in Acid." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02352.

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Abstract The effectiveness of acid pickling of stainless steel (SS) depends largely on the composition and structure of the scale formed on the surface. These properties are affected by the type of stainless steel considered and also by the heating atmosphere in which the stainless steel exposed. In this investigation, the compositions and structures of scales formed on 410 SS surface after exposing in dry air, moist air, N2 and 10%H2+N2 atmospheres are analyzed. The results show that the scale formed in the moisture containing air is the most difficult to be removed, while descaling becomes m
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Jaeger, Paul F., and William H. Smyrl. "In-Situ Oxidation Measurements of Copper Using the Quartz Crystal Microbalance Coupled with Resistance Measurements Using an Atmospheric Corrosion Monitor." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96626.

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Abstract A method for the detection of in situ corrosion monitoring due to atmospheric gasses has been incorporated to measure not only the amount of corrosion on a copper surface but also the rate of corrosion and a study on the bonding of the adsorbent at the gas solid interface. The Quartz Crystal Microbalance (QCM) has recently been used for this corrosion monitoring. Results indicate a difference in the rate at which the adsorbent reacts with the solid in different atmospheric conditions verses the rate of corrosion as measured when there is no inhibitor present. Tests also indicate an as
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Huang, Chang, Xiaoyu Zan, Xuewen Yang, and Shiqiang Zhang. "Surface water change detection using change vector analysis." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729732.

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Martino, Luca, Carlo Ulivieri, Munzer Jahjah, and Emanuele Loret. "Surface Change Detection based on Multi Sensor data Integration." In 57th International Astronautical Congress. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.iac-06-b1.4.05.

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Mitkari, Kavita V., Manoj K. Arora, and Reet K. Tiwari. "Detecting Glacier Surface Changes Using Object-Based Change Detection." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8519230.

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Reports on the topic "M3C2 surface change detection"

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Hoots, Charles R., Robert Abbott, Leiph Preston, Hunter Knox, and Paul Conrad Schwering. Near-Field Imaging of Shallow Chemical Explosions in Granite Using Change Detection Methods with Surface and Borehole Seismic Data. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1617436.

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Greinert, Jens. Mine Monitoring in the German Baltic Sea 2022; AL583, 18th - 31st October 2022, Kiel (Germany) – Kiel (Germany) „MineMoni-IV 2022“, ALKOR-Report AL583. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2023. http://dx.doi.org/10.3289/cr_al583.

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ALKOR cruise AL583 took place as part of the EMFF (European Maritime and Fisheries Fund)‐funded projects BASTA (Boost Applied munition detection through Smart data detection in and AI workflows; https://www.basta‐munition.eu) and ExPloTect (Ex‐situ, near‐real‐time detection compound detection in seawater) (also EMFF‐funded). It was the continuation of the munition monitoring started within the BMBF‐funded project UDEMM (Environmental Monitoring for the Delaboration of Munition in the Sea; https://udemm.geomar.de/) and is already part of the new project CONMAR (https://conmar‐ munition.eu/) as
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Aalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361355.

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Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises c
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Smith, Sean, Lauren Youngblood, Micah Wright, and Phillip van Mantgem. Vegetation community monitoring: Forest structure in Klamath Network parks. National Park Service, 2025. https://doi.org/10.36967/2311589.

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The Klamath Network, comprising six national park units in northern California and southern Oregon, initiated a vegetation monitoring protocol in 2011 to discern ecologically significant vegetation trends in these parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust means for early detection of vegetation change over time. Here, we present these community metrics based on our sampling efforts from 2011 to 2019. Observations from the first sampling event (2011–2013) were used to establish baseline conditions for the vegetation communiti
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Brydie, Dr James, Dr Alireza Jafari, and Stephanie Trottier. PR-487-143727-R01 Modelling and Simulation of Subsurface Fluid Migration from Small Pipeline Leaks. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0011025.

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The dispersion and migration behavior of hydrocarbon products leaking at low rates (i.e. 1bbl/day and 10 bbl/day) from a pipeline have been studied using a combination of experimental leakage tests and numerical simulations. The focus of this study was to determine the influence of subsurface engineered boundaries associated with the trench walls, and the presence of a water table, upon the leakage behavior of a range of hydrocarbon products. The project numerically modelled three products including diesel, diluted bitumen (dilbit) and gasoline; which were chosen to span a range of fluid types
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Uden, Daniel. 2024 viewshed analysis of Homestead National Historical Park: Updated to include screening provided by trees and structures. National Park Service, 2025. https://doi.org/10.36967/2313523.

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Homestead National Historical Park (HOME), southeast Nebraska, commemorates the 1862 Homestead Act with series of exhibits, including outdoor ecosystems that represent how the landscape may have appeared historically. The historical, scenic views of HOME have high aesthetic value but are threatened by land use changes, especially construction of tall structures visible over long distances. The impacts of development on scenic views depends on the location and height of constructed objects, topographical variability of the landscape, and the degree of visual obstruction from existing abovegroun
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99mTc SPECT-CT, Consensus QIBA Profile. Chair Yuni Dewaraja and Robert Miyaoka. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2019. https://doi.org/10.1148/qiba/20191021.

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The quantification of 99mTc labeled biomarkers can add unique value in many different settings, ranging from clinical trials of investigation new drugs to the treatment of individual patients with marketed therapeutics. For example, goals of precision medicine include using companion radiopharmaceutical diagnostics as just-in-time, predictive biomarkers for selecting patients to receive targeted treatments, customizing doses of internally administered radiotherapeutics, and assessing responses to treatment. This Profile describes quantitative outcome measures that represent proxies of target c
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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