The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences最新文献

{"title":"Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data","authors":"Ana Potočnik Buhvald, Krištof Oštir, Mitja Skudnik","doi":"10.5194/isprs-archives-xlviii-m-7-2025-283-2025","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-m-7-2025-283-2025","url":null,"abstract":"Abstract. Mapping forest areas affected by bark beetle infestation using remote sensing imagery is crucial for effective hazard management and risk assessment. This study evaluates the potential of Sentinel-2 satellite image time series (SITS) in combination with in-situ felling data to detect bark beetle infestation in coniferous forests in Pokljuka, Slovenia. The analysis uses the CuSum method, all Sentinel-2 spectral bands and key spectral indices such as NDVI and NBSI to identify changes and areas of forest loss in the period 2017–2021. The resulting geospatial dataset, which integrates these remote sensing results with field data, serves as a basis for further analyses using advanced machine and deep learning methods and various remote sensing data such as hyperspectral datasets. In addition, we found that the most useful bands for detecting the loss of alpine coniferous forests are SWIR (B11, B12), Red (B04) and Red-Edge (B05) as well as the two spectral indices used, NDVI and NBSI.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"XLVIII-M-7-2025 1","pages":"283-289"},"PeriodicalIF":0.0,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/283/2025/isprs-archives-XLVIII-M-7-2025-283-2025.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147911295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HyTIR – an airborne hyperspectral imaging research platform in the LWIR wavelength range","authors":"Uwe Knauer, Marion Pause, Bastian Sander","doi":"10.5194/isprs-archives-xlviii-m-7-2025-157-2025","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-m-7-2025-157-2025","url":null,"abstract":"Abstract. Hyperspectral cameras play a crucial role in remote sensing across various applications. The sensors designed for the visible to near-infrared (VNIR) and short-wave infrared (SWIR) ranges are particularly valuable due to their ability to detect reflected light from measured objects and absorption characteristics of atmospheric radiation. These capabilities are essential for numerous environmental and agricultural monitoring applications. In addition to VNIR and SWIR sensors, imaging sensors that operate within the mid-wave and long-wave infrared ranges have been developed. These sensors focus on capturing radiation emitted by objects due to their inherent temperatures. Despite their potential, these infrared sensors have seen limited use primarily because of the higher costs associated with their deployment. Anhalt University of Applied Sciences is overcoming some of these limitations by incorporating an FTIR hyperspectral camera, specifically for the long-wave infrared (LWIR) range, into its repertoire of imaging sensors. This expansion is part of a project funded by the GRC to establish the HyTIR platform. The primary aim of this platform is to support Earth observation missions and to enhance measurement campaigns in agricultural and environmental science fields. The article outlines the distinctive features of the measurement system provided by the FTIR hyperspectral camera. It details how this system is flexibly combined with complementary sensors depending on the requirements of each campaign. The article also presents initial findings from test flights conducted using the system. The overarching goal of the HyTIR platform is to make its advanced capabilities available to the international scientific community. By doing so, it aims to contribute significantly to the fields of remote sensing as well as agricultural and environmental sciences, by enabling advanced Earth observation and data collection methodologies.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"XLVIII-M-7-2025 1","pages":"157-162"},"PeriodicalIF":0.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/157/2025/isprs-archives-XLVIII-M-7-2025-157-2025.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147887335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the Spatial Pattern and Driving Forces of Linpan in Western Sichuan","authors":"Juan Du, Xu Zhou, Guangyong Li, Huihui Zhou, Shu Tao, Wenyang Su, Yu Gao","doi":"10.5194/isprs-archives-xlviii-4-2024-169-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-4-2024-169-2024","url":null,"abstract":"Abstract. This study aims to explore the landscape pattern and its driving forces of Linpan in western Sichuan, aiming to gain a deeper understanding of the spatial distribution of this unique rural settlement form. The landscape indices and redundancy analysis method were employed to investigate the landscape pattern and driving forces of Linpan in the western Sichuan region. By extracting the spatial information of Linpan in the study area, quantitative analysis of their landscape pattern was conducted using landscape indices. The results reveal certain characteristics of the landscape pattern of Linpan in the study area, where Longquanyi exhibits the highest degree of landscape fragmentation, with the highest patch density and smaller average patch size, yet the highest landscape diversity, while Wenjiang shows the lowest diversity, and Xinjin exhibits a more dispersed distribution of patches, and Dujiangyan has the highest number of patches. Using redundancy analysis, this study reveals the influence of natural and social driving forces on the landscape pattern of Linpan in Western Sichuan. The results indicate that urbanization rate, patch density, mean patch size, and average elevation are significant factors influencing the distribution and morphology of Linpan. These factors affect the spatial layout and connectivity of Linpan, driving changes in the land use structure, and profoundly impacting the landscape pattern of Linpan. To achieve the ecological sustainability, it is essential to comprehensively consider the impacts of both natural and human factors, scientifically plan and manage Linpan, and promote their harmonious coexistence with the surrounding environment.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"XLVIII-4-2024 1","pages":"169-176"},"PeriodicalIF":0.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/169/2024/isprs-archives-XLVIII-4-2024-169-2024.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147922333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS)","authors":"I. Petrovska, M. Jäger, D. Haitz, B. Jutzi","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-153-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-153-2023","url":null,"abstract":"Abstract. Neural Radiance Fields (NeRFs) use a set of camera poses with associated images to represent a scene through a position-dependent density and radiance at given spatial location. Generating a geometric representation in form of a point cloud is gained by ray tracing and sampling 3D points with density and color along the rays. In this contribution we evaluate object reconstruction by NeRFs in 3D metric space against Terrestrial Laser Scanning (TLS) using ground truth data in form of a Structured Light Imaging (SLI) mesh and investigate the influence of the density to the reconstruction’s accuracy. We extend the accuracy assessment from 2D to 3D space and perform high resolution investigations on NeRFs by using camera images with 36MP resolution as well as comparison among point clouds of more than 20 million points against a 0.1mm ground truth mesh. TLS achieves the highest geometric accuracy results with a standard deviation of 1.68mm, while NeRFδt=300 diverges 18.61mm from the ground truth. All NeRF reconstructions contain 3D points inside the object which have the highest displacements from the ground truth, thus contribute the most to the accuracy results. NeRFs accuracy improves with increasing the density threshold as a consequence of completeness, since beside noise and outliers the object points are also being removed.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA","authors":"M. Goebel, D. Iwaszczuk","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-63-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-63-2023","url":null,"abstract":"Abstract. Plants signal their health in a broader spectrum than we can see with our eyes. We compared sunlight reflectance on plants at spectral wavelengths ranging from 430 nm to 870 nm in our study. These are based on multispectral images captured at a distance of 2 m. Indoor plants were observed over a period of 18 days and stressed due to a lack of sunlight or water. Wild sedge photographed on the forest floor at close range and with a difficult capture setup produced results comparable to published multispectral signatures derived from aerial imagery. Changes of leaf reflectance were noticed in spectral signatures and in vegetation indices. When calculating vegetation indices, our results show that comparing red and red edge reflectance values is superior to comparing red and NIR reflectance values.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135728615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS","authors":"E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, J. Mills","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-47-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-47-2023","url":null,"abstract":"Abstract. In recent decades, the geospatial domain has benefitted from technological advances in sensors, methodologies, and processing tools to expand capabilities in mapping applications. Airborne techniques (LiDAR and aerial photogrammetry) generally provide most of the data used for this purpose. However, despite the relevant accuracy of these technologies and the high spatial resolution of airborne data, updates are not sufficiently regular due to significant flight costs and logistics. New possibilities to fill this information gap have emerged with the advent of Very High Resolution (VHR) optical satellite images in the early 2000s. In addition to the high temporal resolution of the cost-effective datasets and their sub-meter geometric resolutions, the synoptic coverage is an unprecedented opportunity for mapping remote areas, multi-temporal analyses, updating datasets and disaster management. For all these reasons, VHR satellite imagery is clearly a relevant study for National Mapping and Cadastral Agencies (NMCAs). This work, supported by EuroSDR, summarises a series of experimental analyses carried out over diverse landscapes to explore the potential of VHR imagery for large-scale mapping.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND)","authors":"J. Wajs, D. Kasza","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-199-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-199-2023","url":null,"abstract":"Abstract. The BATDRON Unmanned Surface Vessel is an original structure developed at Wrocław University of Science and Technology, intended to conduct measurements using a diverse range of sensors. Initially, it was used to measure the geometry of reservoirs and waterways, however, owing to the constant development of the platform, it was possible to use a new sensor – a non-metric camera, and to carry out photogrammetric measurements. The first tests were carried out using a NIKON D800 camera and included measuring the Grunwaldzki Bridge in Wrocław.The analysis of the trajectory of the BATDRON remotely controlled (RC) vessel demonstrated that it maintains the programmed course (the average value of the distance from the set mission route was -0.04 m), which is of great importance in the case of photogrammetric measurement sessions. Also, the internal quality control (IQC) of data obtained from the non-metric camera in relation to reference data obtained with a Riegl laser scanner showed satisfactory accuracy of photogrammetric data.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS","authors":"R. Beber, G. Perda, N. Takhtkeshha, F. Remondino, T. Maffei, D. Poli, K. Moe, P. Cipriano, M. Ciliberti","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-9-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-9-2023","url":null,"abstract":"Abstract. The Urban Data Space for Green Deal - USAGE - project is founded by the European Union (EU) to support the green transition of cities. Within USAGE, a series of geospatial, thematic and other datasets have been newly acquired or created to test and evaluate solutions (i) to better understand issues and trends on how our planet and its climate are changing and (ii) to address the role that humans play in these changes, e.g., with behaviour adaptation and mitigation actions. The paper aims to provide some relevant datasets collected in two urban areas, reporting processing methodologies and applications of analysis-ready and decision-ready geospatial data. The shared data are unique urban datasets due to their resolutions and sensors type and could boost progresses of geospatial procedures to create and use data useful for climate change adaptation, renewable energy monitoring and management, etc.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING","authors":"J. Koszyk, P. Łabędź, K. Grzelka, A. Jasińska, K. Pargieła, A. Malczewska, K. Strząbała, M. Michalczak, Ł. Ambroziński","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-79-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-79-2023","url":null,"abstract":"Abstract. Simultaneous localization and mapping (SLAM) is essential for the robot to operate in an unknown, vast environment. LiDAR-based SLAM can be utilizable in environments where other sensors cannot deliver reliable measurements. Providing accurate map results requires particular attention due to deviations originating from the device. This study is aimed to assess LiDAR-based mapping quality in a vast environment. The measurements are conducted on a mobile platform. Accuracy of the map collected with the LeGO-LOAM method was performed by making a comparison to a map gathered with geodetic scanning using ICP. The results provided 60% of fitted points in a distance lower than 5 cm and 80% in a distance lower than 10 cm. The findings prove the mileage of the map created with this method for other tasks, including autonomous driving and semantic segmentation.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135728858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES","authors":"Y. Castillo-Campo, X. Monteys, A. L. Beck, C. Cahalane","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-39-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-39-2023","url":null,"abstract":"Abstract. Accurate and consistent mapping of the boundary between land and water (the ‘waterline’) is critical for tracking coastal change and coastal management. Earth Observation satellite remote sensing provides a unique cost-effective alternative to traditional methods. Waterlines from satellites are often derived by methods based on spectral indices that lead to the separation between land and water. The validation strategy for these products requires a complex approach from accuracy assessment (quantifying error) to verification of its suitability for monitoring applications. Traditionally the accuracy of EO products is reduced and simplified to the resolution of the sensor or satellite that collects the data. However, environmental variables (sea conditions, weather, vegetation, anthropic) that may have a direct effect on the sensor and on the coastline that we are trying to monitor are not taken into consideration. Segments of Sentinel-2-derived waterlines were selected in North Bull Island for further analysis in the creation of a new benchmark dataset for understanding the waterline models of eastern Ireland. In our novel approach, we propose that horizontal accuracy assessment is performed by using the mean absolute distance between the GNSS reference line and the Sentinel-2-derived waterline. The vertical accuracy assessment was then calculated by the difference between the attributed waterline height compared with the mean GNSS elevation at the intersection points. Results were then compared with Dublin Port tide gauge height record. The development of reference validation models can allow more efficient application of satellite data for monitoring, and understanding how environmental variables affect each case study.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135778424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}