Article
Environmental Sciences
Pawel Zbigniew Banasiak, Piotr Leszek Berezowski, Rafal Zaplata, Milosz Mielcarek, Konrad Duraj, Krzysztof Sterenczak
Summary: Airborne Laser Scanning technology, used in forested areas, can help identify terrain relief features and potentially discover unknown archaeological monuments. Archaeologists face challenges in interpreting spatial relationships of objects of different shapes and sizes. Deep learning neural networks, such as the U-Net model, can be used for automatic recognition of archaeological monuments by performing image segmentation based on ALS data, with performance evaluated using metrics like IoU and Dice-Sorensen coefficient.
Article
Environmental Sciences
Chang Cui, Xichao Dong, Zhiyang Chen, Cheng Hu, Weiming Tian
Summary: A geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR) system is an important technique for long-time moving target monitoring. However, it faces challenges of severe range migration and space-variant Doppler parameters. This paper proposes a long-time coherent integration space-time adaptive processing (LTCI-STAP) method to address these challenges and effectively focus moving targets.
Article
Ecology
David J. Luscombe, Naomi Gatis, Karen Anderson, Donna Carless, Richard E. Brazier
Summary: THaW habitats in the UK are important for biodiversity and ecosystem services, and with the realignment of agricultural policies, it is crucial to evaluate their distribution and dynamics. Mapping these habitats at a fine spatial resolution is possible using LiDAR data, with aerial LiDAR data delivering accurate baselines. Canopy change can also be monitored using SAR data, and the combination of LiDAR and SAR data allows for rapid tracking of canopy change. However, current estimates of tree distribution neglect smaller THaW canopies, which account for a significant portion of landscape THaW cover.
ECOLOGY AND EVOLUTION
(2023)
Article
Green & Sustainable Science & Technology
Alma Elizabeth Thuestad, Ole Risbol, Jan Ingolf Kleppe, Stine Barlindhaug, Elin Rose Myrvoll
Summary: Remote sensing, including LiDAR and image data, has proven to be highly effective for archaeological surveying in northern landscapes. A multi-sensor approach increases detection rates, and the characteristics of features play a key role in detectability.
Article
Environmental Sciences
Martin Queinnec, Joanne C. White, Nicholas C. Coops
Summary: This study used ICESat-2 data to estimate forest structure in different boreal forest types in Ontario, Canada, including canopy height, cover, and height variability. Results showed strong agreement between ICESat-2 and airborne LiDAR for estimating canopy height in different forest development stages, but ICESat-2 tended to underestimate canopy height variability and cover compared to LiDAR data.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Xueqian Wang, Dong Zhu, Gang Li, Xiao-Ping Zhang, You He
Summary: This paper proposes a new method for fusion of spaceborne and airborne SAR images based on the target proposal and the copula theory (TPCT), which improves the target-to-clutter ratios of composite images and enhances ship detection performance. Experiment results using measured SAR data show that the TPCT fusion method outperforms other commonly used image fusion methods in ship detection tasks.
INFORMATION FUSION
(2022)
Article
Environmental Sciences
Ahmed Mutasim Abdalla Mahmoud, Ekbal Hussain, Alessandro Novellino, Panos Psimoulis, Stuart Marsh
Summary: Coastal dunes at Formby play a crucial role in coastal erosion risk management as a natural sea defense line, with the sand dune system evolving rapidly over the past 21 years. Formby beach experienced a loss of approximately 907,000 cubic meters of sand, while the dunes saw an increase of around 1,049,000 cubic meters of sand, indicating a balanced sand redistribution within the entire dune system. Erosion occurred along the beach area, while deposition and erosion happened within the dune areas, leading to dynamic volumetric changes.
Article
Engineering, Multidisciplinary
Liying Wang, Ze You, Yan Xu
Summary: In this study, a method is proposed for reducing data density while retaining target details in the overlap area during airborne LiDAR data scanning. By identifying and eliminating unimportant points in the repeated observation data, the data representation of the overlap area is optimized. Experimental results demonstrate the high reduction rate and data quality preservation of the proposed method in urban and forestry areas.
Article
Environmental Sciences
Manuela Hirschmugl, Florian Lippl, Carina Sobe
Summary: This study examines the options for assessing vertical forest structure in a mountainous near-natural forest in the Austrian Alps using airborne and spaceborne LiDAR data. The indicators of foliage height diversity (FHD) and number of layers (NoL) are investigated. Expert-based assessment (EBA) outperforms break-detection algorithm (BDA) in terms of overall accuracy (OA) for estimating NoL. ALS data shows better OA for NoL than GEDI data. The usability of waveform-based structure parameters shows promise and should be further tested on larger areas.
Article
Anthropology
Sieczkowska Dominika, Cmielewski Bartlomiej, Wolski Krzysztof, Pawel B. Dabek, Jose M. Bastante, Wilczynska Izabela
Summary: The Chachabamba archaeological site features a unique water complex constructed and modified by the Incas for ceremonial purposes, with hydrodynamic studies confirming its ceremonial nature. Due to the site's complex characteristics, a new documentation methodology was employed, utilizing three-dimensional techniques to analyze the water system and create models essential for understanding its function.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Dong Zhu, Xueqian Wang, Gang Li, Xiao-Ping Zhang
Summary: This study proposes a new method for vessel target detection by fusing SAR images collected from spaceborne and airborne platforms. The method utilizes multi-order superpixel-level saliency and fuzzy logic to enhance target regions and filter out interference regions, resulting in improved detection performance compared to traditional methods.
INFORMATION FUSION
(2023)
Article
Geochemistry & Geophysics
Hongyang An, Junjie Wu, Kah Chan Teh, Zhichao Sun, Jianyu Yang
Summary: This article proposes a simultaneous moving and stationary target imaging method for GEO SA-BiSAR, optimizing the entropy of the moving target image and the residual error through joint velocity estimation and sparse decomposition problem. Accurate separation and focusing of moving and stationary targets, as well as precise estimation of the moving target velocity, can be achieved with two receiving channels.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Dong Zhu, Xueqian Wang, Yayun Cheng, Gang Li
Summary: This paper presents a vessel detection method through the fusion of synthetic aperture radar images acquired from spaceborne-airborne collaborative observations. The method combines target proposal and polarization information exploitation, using a triple-state proposal matrix and absolute polarization ratio to accurately detect vessel targets. Experimental results show that the proposed fusion method can yield higher target-to-clutter ratios for fused images and improve the detection performance for vessel targets.
Article
Environmental Sciences
Antonin Zabukovec, Gerard Ancellet, Iwan E. Penner, Mikhail Arshinov, Valery Kozlov, Jacques Pelon, Jean-Daniel Paris, Grigory Kokhanenko, Yuri S. Balin, Dimitry Chernov, Boris D. Belan
Summary: By conducting airborne backscatter lidar and in-situ measurements over Siberia, we were able to identify six aerosol types including dusty aerosol mixture, gas flaring emissions, fresh and aged forest fire plumes, urban emissions, and long range transport of urban emissions from Northern China. The altitude range and aerosol optical properties varied among different aerosol types, with BC concentrations generally higher in flaring plumes compared to urban emissions. Additionally, comparisons between aged and fresh plumes showed an increase in aerosol optical depth and particle size for aged forest fire plumes.
Article
Environmental Sciences
Johanna Roiha, Einari Heinaro, Markus Holopainen
Summary: The study tested drone-based ALS as an archaeological site survey tool in a complex forested area, demonstrating good results in increasing understanding of the site and its structures, but more research is needed on the impact of forest cover on accuracy.
Article
Environmental Studies
Nicodemo Abate, Diego Ronchi, Valentino Vitale, Nicola Masini, Andrea Angelini, Francesco Giuri, Antonio Minervino Amodio, Andrea Maria Gennaro, Daniele Ferdani
Summary: This paper explores the potential of using integrated methods such as aerial LiDAR, aerial and terrestrial photogrammetry, terrestrial laser scanning, and archaeological survey to detect lost medieval settlements under canopy. The study focused on the site of Altanum in Italy, which was completely covered by vegetation. A comprehensive survey using LiDAR was conducted, followed by enhancement techniques and documentation of visible buildings using photogrammetry and laser scanning. The significant outcome was the creation of a GIS platform that integrated all data to delineate the settlement layout and produce datasets for knowledge and protection purposes.
Article
Computer Science, Interdisciplinary Applications
Lei Luo, Ning Zhao, Yi Zhu, Yangjun Sun
Summary: This paper proposes an AG-DQN algorithm for solving the pathfinding problem of an AGV in an RMFS. The AG-DQN algorithm combines the A* algorithm and DQN algorithm, and it can train the AGV to find the correct shortest path in less training time, improving the efficiency of the system.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Environmental Sciences
Qian Li, Huadong Guo, Lei Luo, Xinyuan Wang, Shu Yang
Summary: Karez systems are ancient hydraulic works that use underground waterways to divert water by gravity and have historically been popular in arid regions across Central Asia. Karez systems have undergone thousands of years of development and have been used for irrigation in 40 countries and regions worldwide. Although there are different opinions about the origin of karezes, the role and significance of karezes are similar.
Article
Green & Sustainable Science & Technology
Antonio Minervino Amodio, Dario Gioia, Maria Danese, Nicola Masini, Canio Alfieri Sabia
Summary: Land use and land cover play a significant role in soil erosion and sediment yield. Researching the past using historical maps can help us understand the future landscape changes, which is hindered by the lack of historical information. To address this, we combined an old paper map, aerial photos, and orthophotos to study land-use history and landscape dynamics, focusing on a segment of the Roman route Via Herculia in Italy. Three land-use scenarios were analyzed for different periods, and a soil erosion model was applied to assess the changes in erosion and sediment deposition. The results indicate an increase in erosion and deposition from 1870-1974, followed by a decrease from 1974-2013.
Article
Chemistry, Multidisciplinary
Nabil Bachagha, Abdelrazek Elnashar, Moussa Tababi, Fatma Souei, Wenbin Xu
Summary: This study proposes an ad hoc machine-learning method for locating archaeological sites in arid environments. By combining the Pleiades (P1B) image with the average of SAR data in the selected study area of Blad Talh, southern Tunisia, an accurate probability map is obtained with an overall accuracy and Kappa coefficient of 0.93 and 0.91, respectively, when validated with field survey data. The results demonstrate the capability of satellite data and machine learning to discover buried archaeological sites, thereby enhancing archaeological surveys and detecting new cultural deposits.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Min Cao, Ya Tian, Kai Wu, Min Chen, Yu Chen, Xue Hu, Zhongchang Sun, Lijun Zuo, Jian Lin, Lei Luo, Rui Zhu, Zhenci Xu, Temenoujka Bandrova, Milan Konecny, Wenping Yuan, Huadong Guo, Hui Lin, Guonian Lue
Summary: The study explores the impact of different Sustainable Development Goal (SDG) scenarios on land-use change and carbon stocks along the Silk Road by 2030. The results show that the environment scenario mitigates the decreasing trend of forest land, leading to an increase in forest carbon stocks in China. In the grain scenario, the rate of cultivated land area decrease slows down, and there is an increasing trend in some regions. The economic scenario results in the highest carbon losses due to increased urban expansion. This study enhances our understanding of how SDGs can mitigate future environmental degradation through accurate simulations.
Article
Green & Sustainable Science & Technology
Lingqiao Guo, Qiang An, Zhengbo Li, Shuman Deng, Lei Luo, Laisheng Zhang, Ningjie Jin
Summary: The recovery of zinc from electric arc furnace dust using ammonia-ammonium bicarbonate solutions and precipitation with gaseous CO2 has been investigated. The optimized conditions resulted in 80% recovery of zinc as basic carbonate of hydrozincite with high-grade zinc-precipitating products.
JOURNAL OF SUSTAINABLE METALLURGY
(2023)
Editorial Material
Multidisciplinary Sciences
Lei Luo, Jie Liu, Francesca Cigna, Damian Evans, Mario Hernandez, Deodato Tapete, Peter Shadie, Athos Agapiou, Abdelaziz Elfadaly, Min Chen, Lanwei Zhu, Bihong Fu, Ruixia Yang, Shahina Tariq, Mohamed Ouessar, Rosa Lasaponara, Xinyuan Wang, Huadong Guo
Article
Geochemistry & Geophysics
Nicodemo Abate, D. Roubis, F. Sogliani, V. Vitale, M. Sileo, P. Arzu, R. Lasaponara, N. Masini
Summary: This study utilized multiscale and multisensor remote sensing techniques combined with big data analysis to identify buried archaeological remains or areas of potential archaeological interest. Multiple types of remote sensing data, such as satellite multispectral data, drone-based imagery, and geophysical prospecting, were utilized. The analysis provided insights into the ancient landscape as well as the discovery of small features, contributing to a deeper understanding of the ancient city of Metaponto in southern Italy.
EXPLORATION GEOPHYSICS
(2023)
Article
Materials Science, Multidisciplinary
Zhaobo Li, Liangshun Luo, Binbin Wang, Baoxian Su, Lei Luo, Liang Wang, Yanqing Su, Jingjie Guo, Hengzhi Fu
Summary: The effect of Ge addition on microstructural evolution and mechanical properties of hypereutectic Nb-16Si-22Ti-2Al-2Cr alloy was investigated. Ge intensively promoted the formation of β-Nb5Si3 and inhibited the formation of Nb3Si. Ge addition increased the volume fraction of β-Nb5Si3 and improved the fracture toughness of the alloy. It also enhanced the elastic modulus and nanohardness of the constituent phases, and elevated the high-temperature compression strength.
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
(2023)
Article
Environmental Sciences
Guolong Chen, Ruixia Yang, Xiangli Zhao, Lanyi Li, Lei Luo, Honghao Liu
Summary: This study analyzed the applications, partnerships, and development trends of spatial technologies for world heritage sites using bibliometric analysis. The results showed that while the use of spatial technologies in world heritage sites has been gradually increasing, many countries have not fully utilized these technologies. Additionally, there is limited cooperation and exchange between research institutions. Future technological developments are expected to be multidisciplinary and integrate various methods.
Article
Green & Sustainable Science & Technology
Luciano Telesca, Michele Lovallo, Gianfranco Cardettini, Angelo Aromando, Nicodemo Abate, Monica Proto, Antonio Loperte, Nicola Masini, Rosa Lasaponara
Summary: The purpose of this study was to evaluate the potential of Singular Spectrum Analysis (SSA) and the Fisher-Shannon method in analyzing NDVI MODIS time series and capturing and estimating inner vegetation anomalies in forest covers. The results showed that using SSA and Fisher-Shannon methods, combined with the NDVI time series of the MODIS satellite, effectively identified and characterized subtle but physically significant signals masked by seasonality and annual cycles.
Review
Remote Sensing
Lei Luo, Xinyuan Wang, Huadong Guo, Xin Jia, Anchuan Fan
Summary: Observing archaeological objects of interest is crucial for understanding past human-environment interactions and the evolution of ancient civilizations. The use of Earth observation technology has become popular in the past decades, providing advanced observational approaches and analysis of archaeological objects all over the world. This paper provides a brief review on the progress, application, advantages and limitations of EO-based solutions in archaeological object prospecting.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Computer Science, Information Systems
Lei Luo, Ruijin Sun, Rong Chai, Qianbin Chen
Summary: This article investigates the impact of UAV deployment and content placement on performance in UAV-assisted cellular systems. By jointly optimizing UAV deployment, content placement, and user association, the system cost can be reduced and content fetching performance can be improved.
IEEE SYSTEMS JOURNAL
(2023)
Article
Remote Sensing
Fulong Chen, Huadong Guo, Deodato Tapete, Francesca Cigna, Salvatore Piro, Rosa Lasaponara, Nicola Masini
Summary: This paper reviews the development of imaging radar technology and analyzes its performance and limitations in the field of cultural heritage monitoring and management. It proposes a flexible solution for the integration of imaging radar in cultural heritage through pilot synergy applications in archaeological prospection and cultural heritage diagnosis and conservation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)