ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences最新文献

{"title":"Preface: Workshop “Smart Forests – Forest ecosystem assessment and monitoring using Remote Sensing, Artificial Intelligence, and Robotics”","authors":"X. Liang, Y. Wang, F. Pirotti, J. C. White, F. Faßnacht, M. T. Melis, W. Gong, M. Yamashita, J. Hernandez, M. Mokroš, M. Campos, R. Pierdicca","doi":"10.5194/isprs-annals-x-1-w1-2023-1175-2023","DOIUrl":"https://doi.org/10.5194/isprs-annals-x-1-w1-2023-1175-2023","url":null,"abstract":"<jats:p> </jats:p>","PeriodicalId":508124,"journal":{"name":"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"32 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139179435","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":"Preface: Workshop “NGC of AV: Navigation, Guidance and Control of Autonomous Vehicles”","authors":"A. Noureldin, S. Givigi","doi":"10.5194/isprs-annals-x-1-w1-2023-1165-2023","DOIUrl":"https://doi.org/10.5194/isprs-annals-x-1-w1-2023-1165-2023","url":null,"abstract":"<jats:p> </jats:p>","PeriodicalId":508124,"journal":{"name":"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"66 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139179450","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":"Preface: ISPRS Geospatial Week 2023","authors":"N. El-Sheimy, A. A. Abdelbary, N. El-Bendary, Y. Mohasseb","doi":"10.5194/isprs-annals-x-1-w1-2023-1151-2023","DOIUrl":"https://doi.org/10.5194/isprs-annals-x-1-w1-2023-1151-2023","url":null,"abstract":"Abstract. The International Society for Photogrammetry and Remote Sensing (ISPRS) Geospatial Week 2023 (GSW’2023) is a combination of 29 workshops organized by the ISPRS Working Groups active in areas of interest of ISPRS. The Geospatial Week 2023 is held from 2–7 September 2023, at the Semiramis Cairo Hotel, on the magnificent river Nile, Egypt, and is convened by the Arab Academy for Science, Technology & Maritime Transport (AASTMT) acting as the local organizer. The GSW’2023 is the first in Africa and the Middle East. The conference was chaired by Prof. Naser EL-Sheimy and Prof. Ismail Abdelgafhar (President of AASTMT) as the Honorary Chair and host of the conference under the Auspices of H.E. Professor Mostafa Madbouly, Prime Minister of the Arab Republic of Egypt. The GSW’2023 is the fifth edition, after, Antalya Turkey in 2013, La Grande Motte France in 2015, Wuhan China in 2017, and Enschede The Netherlands in 2019. The following 29 workshops provide state of the art and future trends in geospatial, sensors, photogrammetry, remote sensing, and spatial information sciences technologies in their applications in many industries and economic sectors: Cultural Heritage Visualization and Virtual Restoration SpACE – Spectral Remote Sensing in the era of AI, Cloud and Edge Computing Youth Presentation Forum Openness in Geospatial and Remote Sensing Precision GNSS: Technology Advances and Applications for Navigation and Mapping Photogrammetric 3D Reconstruction for Geo-Applications (PhotoGA 2023) Geospatial Data Analytics for Physical Geography Impact Assessment on Environment, Health andSociety Intelligent Systems in Sensor Web and Internet of Things Underwater Mapping Workshop: Geospatial techniques for underwater documentation, mapping andmonitoring SO&C: Sensor orientation and calibration for mapping and navigation purposes Smart Forests – Forest ecosystem assessment and monitoring using Remote Sensing, ArtificialIntelligence, and Robotics Satellite Remote Sensing and Its Applications Advanced Data Preparation and Data Management for Geospatial and Remote Sensing Scenarios Laser Scanning 2023 NGC of AV: Navigation, Guidance and Control of Autonomous Vehicles ISSDQ 2023- Artificial Intelligence and Uncertainty Modeling in Spatial Analysis Semantics3D – Semantic Scene Analysis and 3D Reconstruction from Images and Image Sequences GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours GI4SDGs: The Geospatial Information and SDG Nexus SARcon 2023 – SAR constellations and applications Digital Construction CrowdMapping: Crowdsourcing for Global Mapping Indoor 3D IAMS – Intelligent and autonomous mapping systems AI-PC: AI-based Point Cloud and Image Understanding UAV-based mapping with imaging and LiDAR systems: challenges, data processing, and applications 3DS Smart Cities – 3D Sensing for Smart Cities Robotics for Mapping – SLAM approaches for mobile mapping and robot intelligence MMT and HD Maps – Mobile Mapping Technologies and HD Ma","PeriodicalId":508124,"journal":{"name":"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"39 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181486","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":"EXPLORING THE PROSPECTS OF UAV-REMOTELY SENSED DATA IN ESTIMATING PRODUCTIVITY OF MAIZE CROPS IN TYPICAL SMALLHOLDER FARMS OF SOUTHERN AFRICA","authors":"M. Sibanda, S. Buthelezi, O. Mutanga, J. Odindi, A. D. Clulow, V. G. P. Chimonyo, S. Gokool, V. Naiken, J. Magidi, T. Mabhaudhi","doi":"10.5194/isprs-annals-x-1-w1-2023-1143-2023","DOIUrl":"https://doi.org/10.5194/isprs-annals-x-1-w1-2023-1143-2023","url":null,"abstract":"Abstract. This study estimated maize grain biomass, and grain biomass as a proportion of the absolute maize plant biomass using UAV-derived multispectral data. Results showed that UAV-derived data could accurately predict yield with R2 ranging from 0.80 – 0.95, RMSE ranging from 0.03 – 0.94 kg/m2 and RRMSE ranging from 2.21% – 39.91% based on the spectral datasets combined. Results of this study further revealed that the VT-R1 (56–63 days after emergence) vegetative growth stage was the most optimal stage for the early prediction of maize grain yield (R2 = 0.85, RMSE = 0.1, RRMSE = 5.08%) and proportional yield (R2 = 0.92, RMSE = 0.06, RRMSE = 17.56%), with the Normalized Difference Vegetation Index (NDVI), Enhanced Normalized Difference Vegetation Index (ENDVI), Soil Adjusted Vegetation Index (SAVI) and the red edge band being the most optimal prediction variables. The grain yield models produced more accurate results in estimating maize yield when compared to the biomass and proportional yield models. The results demonstrate the value of UAV-derived data in predicting maize yield on smallholder farms – a previously challenging task with coarse spatial resolution satellite sensors.","PeriodicalId":508124,"journal":{"name":"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"18 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139180989","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}