Article
Environmental Sciences
Milan Bajic, Milan Bajic
Summary: This paper introduces methods for modeling and simulating explosive target placement in terrain spectral images, focusing on unexploded ordnances, landmines, and improvised explosive devices. The research utilizes fine spatial resolutions and shows that detection results are improved when decreasing target endmembers to match scene resolution. Unmanned aerial vehicles with snapshot hyperspectral cameras enable flexible target resolution selection and good area coverage.
Article
Ecology
Emiliano Agrillo, Federico Filipponi, Riccardo Salvati, Alice Pezzarossa, Laura Casella
Summary: This paper presents a novel approach for mapping coastal dune habitats at a fine scale using a supervised machine learning model, vegetation plot sampling scheme, multi-sensor spectral imagery (UAV-VHR), and environmental predictors. The calibrated classification model achieved an overall accuracy of 78.6% and accurately classified and mapped five coastal habitats according to EUNIS classification. The results demonstrate that UAV-VHR data combined with specific field survey schemes can be used for the detection of plant communities and species at the local scale.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Guillaume Brunier, Simon Oiry, Yves Gruet, Stanislas F. Dubois, Laurent Barille
Summary: In this study, a UAV-based survey was conducted in October on Noirmoutier Island in France to map the distribution of reefs and the colonization of epibionts using topographic indices and multispectral indices. The results provide data support for further research on the health index of intertidal reefs.
Article
Remote Sensing
Joao Valente, Santosh Hiremath, Mar Ariza-Sentis, Marty Doldersum, Lammert Kooistra
Summary: This study investigated the feasibility of using aerial images from unmanned aerial vehicles (UAV) and deep learning to map Rumex in grasslands. Results showed that the detection of Rumex was highly dependent on the flight height, with the MobileNet model performing best at 10 meters.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Geochemistry & Geophysics
Daan Hanssens, Willem Waegeman, Ynse Declercq, Hans Dierckx, Henri Verschelde, Philippe De Smedt
Summary: The range of near-surface applications investigating the electrical and magnetic properties of the subsurface is expanding, with increasing spatial sampling densities for terrestrial applications. Small-loop frequency-domain electromagnetic (FDEM) instruments are commonly used to record variations of multiple EM properties simultaneously, with different coil configurations producing isotropic or directional responses.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2021)
Article
Geography, Physical
Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen
Summary: This paper proposes a multipath attention-fused network structure to address feature fusion challenges in semantic segmentation of remote sensing images. By fusing high-level abstract features and low-level spatial features, the network achieves state-of-the-art performance on two 2D datasets.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Green & Sustainable Science & Technology
Ante Siljeg, Lovre Panda, Rajko Marinovic, Nino Krvavica, Fran Domazetovic, Mladen Jurisic, Dorijan Radocaj
Summary: Infiltration models and impervious surface models are crucial tools in urban planning to assess land-surface changes and their impacts on hydrological processes. However, there is currently no universally accepted method for creating an infiltration model suitable for geographic information system (GIS) analysis. This research paper presents an innovative approach to modeling the infiltration-efficiency index (IEI) using very-high-resolution (VHR) remote-sensing data and GIS-MCDA. The proposed methodology was tested and demonstrated in Metkovic, Croatia, and can aid decision-making in stormwater management, flood-risk assessment, and land-use planning.
Article
Remote Sensing
Shannon J. Dundas, Molly Vardanega, Patrick O'Brien, Steven R. McLeod
Summary: The study found that using drones for waterbird surveys can provide more accurate results compared to traditional ground counts, but drones also have drawbacks such as high initial equipment costs and time-consuming image processing. The research also showed that ground counts tend to underestimate group size, and waterbody size has an impact on comparative counts.
Article
Green & Sustainable Science & Technology
Chenggao Sha, Jian Liu, Lan Wang, Bowen Shan, Yaxian Hou, Ailing Wang
Summary: Accurate recognition and extraction of rural residential land (RRL) is important for rural land planning and management. A novel framework called cascaded dense dilated network (CDD-Net), combining DenseNet, ASPP, and PointRend, is proposed for RRL extraction from VHR images. The framework shows improvements in feature extraction, multi-scale feature handling, and edge segmentation accuracy.
Article
Geochemistry & Geophysics
Mengmeng Li, Xuanguang Liu, Xiaoqin Wang, Pengfeng Xiao
Summary: This study develops a new Siamese change detection network (SMCD-Net) based on a multitask learning framework to improve building change detection. The network addresses the difficulties of consistent change boundaries and false changes caused by different viewing angles. By incorporating boundary information as an auxiliary task and modeling directional relationships between buildings and their shadows, the proposed SMCD-Net achieves the best detection results on multiple datasets and significantly improves accuracy, especially with large viewing angle differences.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geography, Physical
Wufan Zhao, Claudio Persello, Alfred Stein
Summary: Roof structure information is crucial for creating detailed 3D building models. This paper introduces a fast and parsimonious method to extract building rooflines and structures from high resolution remote sensing imagery. The proposed method outperforms competing models in both qualitative and quantitative evaluations.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Engineering, Marine
Jinchang Fan, Hailong Pei, Zengjie Lian
Summary: In this paper, we extended video stitching to nearshore bathymetry by using videos captured simultaneously by two UAVs. We proposed a framework that performed video stitching and bathymetric mapping in sequence, and used time-cross correlation analysis to estimate water depth from the obtained panoramic video in Shuang Yue Bay, China.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Hansanee Fernando, Thuan Ha, Anjika Attanayake, Dilshan Benaragama, Kwabena Abrefa Nketia, Olakorede Kanmi-Obembe, Steven J. Shirtliffe
Summary: This study investigated four spectral indices for segmenting yellow flower pixels in high-resolution RGB images of canola and compared their efficiency in predicting canola seed yield. The High-resolution Flowering Index (HrFI) and Modified Yellowness Index (MYI) were identified as better predictors of canola yield compared to other indices.
Article
Mathematics
Lili Xu, Fanrui Su, Jie Zhang, Na Zhang
Summary: This study examines the structural characteristics and evolution of China's high-speed rail (HSR) network from 2008 to 2020. The overall connectivity of the HSR network has significantly improved, while the accessibility has slightly improved. Cities with high degree centrality and betweenness centrality are mainly located along the northern coast, eastern coast, and middle reaches of the Yellow and Yangtze Rivers. The hub role and radiation capacity of node cities have both increased. The government should closely monitor the development of HSR networks in the western region.
Article
Engineering, Electrical & Electronic
Cheng Shi, Zhiyong Lv, Huifang Shen, Li Fang, Zhenzhen You
Summary: This study proposes a novel semisupervised classification framework utilizing improved metric learning and convolutional neural network to enhance the accuracy of similarity prediction between high-dimensional features. Experimental results demonstrate that the proposed method outperforms the current state-of-the-art methods on three very-high-resolution remote sensing images.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geography, Physical
Phillipp Fanta-Jende, Francesco Nex, George Vosselman, Markus Gerke
PHOTOGRAMMETRIC RECORD
(2019)
Article
Environmental Sciences
Zhenchao Zhang, George Vosselman, Markus Gerke, Claudio Persello, Devis Tuia, Michael Ying Yang
Review
Computer Science, Information Systems
Norman Kerle, Francesco Nex, Markus Gerke, Diogo Duarte, Anand Vetrivel
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Environmental Sciences
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, Massimo Losa, Markus Gerke
Review
Remote Sensing
Pius Kipng'etich Kirui, Eike Reinosch, Noorlaila Isya, Bjoern Riedel, Markus Gerke
Summary: The paper reviews the challenges in modelling atmospheric delay in multi temporal InSAR, as well as the advancements in tropospheric delay modelling and correction methods. It also discusses the limitations in accuracy and uncertainty assessments, as well as the challenges in integrating correction techniques into existing algorithms. Despite progress in tropospheric modelling, further advancements are needed for calibration of atmospheric delay.
PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE
(2021)
Article
Environmental Sciences
Juntang Yang, Yogesh Khedar, Mohamed Khalil Ben-Larbi, Jan Backhaus, Astrid Lampert, Ulf Bestmann, Enrico Stoll
Summary: This paper proposes a new concept of using tandem flying multicopters as a distributed sensor platform for atmospheric measurements. The key challenges include relative position estimation and control in wind-perturbed outdoor environments, and precise alignment of payloads. Experimental data is used to evaluate the performance of the sliding mode controller and gimbal stabilization system in achieving achievable control accuracies of the relative position and attitude of subsystems in the proposed concept.
Review
Geography, Physical
F. Nex, C. Armenakis, M. Cramer, D. A. Cucci, M. Gerke, E. Honkavaara, A. Kukko, C. Persello, J. Skaloud
Summary: This paper reviews best practices for the use of UAVs in remote sensing and mapping applications, emphasizes the need for interdisciplinary research, explores the future trends and impacts of UAVs in photogrammetry and remote sensing.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
Pius Kirui, Samson Oiro, Hunja Waithaka, Patroba Odera, Bjorn Riedel, Markus Gerke
Summary: Nairobi, the capital city of Kenya, is one of the fastest-growing cities in Africa. However, the rapid expansion of human activities has led to the overexploitation of natural resources, particularly water. This study provides the first spatial assessment of land subsidence in Nairobi using InSAR technology. The results reveal both localized and regionalized subsidence in several areas, which can be attributed to groundwater overexploitation and consolidation associated with rapid urbanization. These findings have important implications for decision-making and the planning of mitigation measures to prevent further subsidence.
Article
Remote Sensing
Ahmed Alamouri, Astrid Lampert, Markus Gerke
Summary: This paper discusses and analyzes the impact of the new EU drone regulations laid down by the European Aviation Safety Agency (EASA) on drone usage, with a focus on the geospatial sector. The discussion is based on three key factors: visual range limitations, geofencing systems, and privacy considerations. Results from a questionnaire distributed to drone technology developers and users show that it is difficult to assess how the new regulations will affect drone usage in the current stage of implementation. There is a tendency to conduct drone flights within visual line of sight, despite difficulties in maintaining continuous contact with the drone. Privacy issues have also affected flight missions for a significant portion of participants, leading to project cancellations.
PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE
(2023)
Review
Engineering, Electrical & Electronic
Mehdi Maboudi, MohammadReza Homaei, Soohwan Song, Shirin Malihi, Mohammad Saadatseresht, Markus Gerke
Summary: Unmanned aerial vehicles (UAVs) are popular platforms for data capturing due to their high maneuverability, autonomous data acquisition capability, and ability to reach difficult vantage points. This article explores a wide range of algorithmic approaches for viewpoints and path planning in 3-D reconstruction using UAV-captured data. With over 200 references, it covers different aspects of the topic and focuses on single-UAV outdoor 3-D reconstruction. The article discusses evaluation strategies, highlights innovations and limitations, and provides a critical analysis of existing challenges and future research perspectives.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Remote Sensing
Ahmed Alamouri, Astrid Lampert, Markus Gerke
Summary: Unmanned aircraft systems (UAS) are increasingly common in the European Union, where regulators have made efforts to establish reliable legal frameworks to ensure safe operation, minimize risks, and explore the economic potential of UAS technology in scientific and commercial sectors. New EU drone regulations have been in force since January 1, 2021, to keep up with technological advancements and reduce potential hazards.
Article
Environmental Sciences
Claudia Stocker, Francesco Nex, Mila Koeva, Markus Gerke