-
Combining the GPS/Galileo/BDS-3 signals on overlap frequencies for interoperable multipath hemispherical maps J. Geod. (IF 4.4) Pub Date : 2024-04-22 Jianghui Geng, Pengbo Li, Guangcai Li
-
On the reachability and genesis of water ice on the Moon ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-23 Tathagata Chakraborty, Tajdarul Hassan Syed, Essam Heggy, Deepak Putrevu, Upama Dutta
Understanding the reachability of water ice by future in-situ experiments near the lunar poles is crucial for supporting growing exploration plans and constraining the uncertainties on its genesis and distribution. To achieve this objective, we perform a thorough three-dimensional mapping of the distribution of water ice in the lunar polar regions (70° onward), integrating radar, optical, and neutron
-
Mapping artificial drains in peatlands—A national‐scale assessment of Irish raised bogs using sub‐meter aerial imagery and deep learning methods Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-23 Wahaj Habib, Rémi Cresson, Kevin McGuinness, John Connolly
Peatlands, constituting over half of terrestrial wetland ecosystems across the globe, hold critical ecological significance and are large stores of carbon (C). Irish oceanic raised bogs are a rare peatland ecosystem offering numerous ecosystem services, including C storage, biodiversity support and water regulation. However, they have been degraded over the centuries due to artificial drainage, followed
-
GNSS ionospheric integrity monitoring based on RBF-NN: constructing single-epoch snapshot GIVD and GIVE maps J. Geod. (IF 4.4) Pub Date : 2024-04-22 Ling Yang, Yunri Fu, Jincheng Zhu, Yunzhong Shen, Chris Rizos
-
First retrieval of daily 160 m aerosol optical depth over urban areas using Gaofen-1/6 synergistic observations: Algorithm development and validation ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-22 Jiadan Dong, Tianhao Zhang, Lunche Wang, Zhengqiang Li, Man Sing Wong, Muhammad Bilal, Zhongmin Zhu, Feiyue Mao, Xinghui Xia, Ge Han, Qiangqiang Xu, Yu Gu, Yun Lin, Bin Zhao, Zhiwei Li, Kai Xu, Xiaoling Chen, Wei Gong
The satellite-based aerosol optical depth (AOD), which can provide continuous spatial observations of aerosol loadings, is widely adopted to estimate atmospheric environmental quality and evaluate its risk for human health. However, current satellite-retrieved AOD products characterized by a comparatively coarse spatial resolution (≥1 km) can hardly analyze the structure of atmospheric pollution or
-
Integrating physical model and image simulations to correct topographic effects on surface reflectance ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-22 Wentao Yu, Huabing Huang, Qiang Liu, Jie Wang
Topography complicates the illumination distribution over rugged terrains and hinders the applications of surface reflectance data over mountainous areas. Topographic correction is an essential process to remove the topographic effects in surface reflectance data. This study proposed a Physical model and image Simulation-based topographic Correction method (PSC) for atmospherically corrected surface
-
Making satellite-derived empirical bathymetry independent of high-quality in-situ depth data: An assessment of four possible model calibration data ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-20 Bin Cao, Hui Liu, Bincai Cao
The empirical approach of satellite-derived bathymetry provides a straightforward, easily-implemented, and very effective way of estimating shallow-water depths from high-spatial-resolution satellite images. However, this approach has a great challenge that it requires high-quality in-situ depth data, which often do not exist or are not available due to financial and/or technical reasons, as the depth
-
Semantic change detection using a hierarchical semantic graph interaction network from high-resolution remote sensing images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-20 Jiang Long, Mengmeng Li, Xiaoqin Wang, Alfred Stein
Current semantic change detection (SCD) methods face challenges in modeling temporal correlations (TCs) between bitemporal semantic features and difference features. These methods lead to inaccurate detection results, particularly for complex SCD scenarios. This paper presents a hierarchical semantic graph interaction network (HGINet) for SCD from high-resolution remote sensing images. This multitask
-
Vectorial integer bootstrapping of best integer equivariant estimation (VIB-BIE) for efficient and reliable GNSS ambiguity resolution J. Geod. (IF 4.4) Pub Date : 2024-04-17 Weikai Miao, Bofeng Li, Yang Gao, Guang’e Chen
-
The ClearSCD model: Comprehensively leveraging semantics and change relationships for semantic change detection in high spatial resolution remote sensing imagery ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-18 Kai Tang, Fei Xu, Xuehong Chen, Qi Dong, Yuheng Yuan, Jin Chen
The Earth has been undergoing continuous anthropogenic and natural change. High spatial resolution (HSR) remote sensing imagery provides a unique opportunity to accurately reveal these changes on a planetary scale. Semantic change detection (SCD) with HSR imagery has become a common technique for tracking the evolution of land surface types at a semantic level. However, existing SCD methods rarely
-
Corrigendum to “ReCuSum: A polyvalent method to monitor tropical forest disturbances” [ISPRS J. Photogramm. Rem. Sens. 203 (2023) 358–372] ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-18 Bertrand Ygorra, Frédéric Frappart, Jean-Pierre Wigneron, Christophe Moisy, Thibault Catry, Benjamin Pillot, Jonas Courtalon, Anna Kharlanova, Serge Riazanoff
-
Enhanced wavelet based spatiotemporal fusion networks using cross-paired remote sensing images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-17 Xingjian Zhang, Shuang Li, Zhenyu Tan, Xinghua Li
Spatiotemporal fusion can provide remote sensing images with both high temporal and high spatial resolution for earth observation applications. Most of the state-of-the-art models require three or even five images as input, which may lead to difficulties in practical applications due to bad weather or data missing. In this paper, the enhanced cross-paired wavelet based spatiotemporal fusion networks
-
Forecasting corn NDVI through AI-based approaches using sentinel 2 image time series ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-17 A. Farbo, F. Sarvia, S. De Petris, V. Basile, E. Borgogno-Mondino
Precision Agriculture (PA) has revolutionized crop management by leveraging information technology, satellite positioning data, and remote sensing. One crucial component in PA applications is the Normalized Difference Vegetation Index (NDVI), which offers valuable insights into crop vigor and health. However, discontinuity of optical satellite acquisitions related to cloud cover and the huge load of
-
Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-17 Liudi Zhu, Tingwei Cui, Runa A, Xinliang Pan, Wenjing Zhao, Jinzhao Xiang, Mengmeng Cao
Excessive discharges of nitrogen and phosphorus nutrients lead to eutrophication in coastal waters. Optical remote sensing retrieval of the key eutrophication indicators, namely dissolved inorganic nitrogen concentration (DIN), soluble reactive phosphate concentration (SRP), and chemical oxygen demand (COD), remains challenging due to lack of distinct spectral features. Although machine learning (ML)
-
Using spatiotemporal information in weather radar data to detect and track communal roosts Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-17 Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina T. D. Belotti, Yuting Deng, Victoria F. Simons, Elske Tielens, Jeffrey F. Kelly, Kyle G. Horton, Subhransu Maji, Daniel Sheldon
The exodus of flying animals from their roosting locations is often visible as expanding ring‐shaped patterns in weather radar data. The NEXRAD network, for example, archives more than 25 years of data across 143 contiguous US radar stations, providing opportunities to study roosting locations and times and the ecosystems of birds and bats. However, access to this information is limited by the cost
-
Deep learning in marine bioacoustics: a benchmark for baleen whale detection Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-17 Elena Schall, Idil Ilgaz Kaya, Elisabeth Debusschere, Paul Devos, Clea Parcerisas
Passive acoustic monitoring (PAM) is commonly used to obtain year‐round continuous data on marine soundscapes harboring valuable information on species distributions or ecosystem dynamics. This continuously increasing amount of data requires highly efficient automated analysis techniques in order to exploit the full potential of the available data. Here, we propose a benchmark, which consists of a
-
Moving mountains: reevaluating the elevations of Colorado mountain summits using modern geodetic techniques J. Geod. (IF 4.4) Pub Date : 2024-04-15 Kevin Ahlgren, Derek van Westrum, Brian Shaw
-
Potential of cold-atom airborne gravimetry to improve coastal gravity field and quasigeoid modelling J. Geod. (IF 4.4) Pub Date : 2024-04-13 Dinh Toan Vu, Sylvain Bonvalot, Lucia Seoane, Germinal Gabalda, Dominique Remy, Sean Bruinsma, Yannick Bidel, Alexandre Bresson, Nassim Zahzam, Didier Rouxel, Corinne Salaün, Marie-Françoise Lalancette, René Forsberg, Tim Jensen, Olivier Jamet
-
A Variance-Covariance method to estimating the errors of 3-D ground displacement time-series using small baseline InSAR algorithms and multi-platform SAR data ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-12 Francesco Falabella, Antonio Pepe, Angela Perrone, Tony Alfredo Stabile
The joint exploitation of complementary information from independent satellite and ground-based SAR observations can allow reconstructing the three-dimensional (up-down, east–west, north–south) ground displacement profile. Some attempts have recently been made to complement satellite and ground-based SAR (GB-SAR) data. However, a method for generating the 3-D ground displacement time-series and evaluating
-
HCTO: Optimality-aware LiDAR inertial odometry with hybrid continuous time optimization for compact wearable mapping system ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-12 Jianping Li, Shenghai Yuan, Muqing Cao, Thien-Minh Nguyen, Kun Cao, Lihua Xie
Compact wearable mapping system (WMS) has gained significant attention due to their convenience in various applications. Specifically, it provides an efficient way to collect prior maps for 3D structure inspection and robot-based “last-mile delivery” in complex environments. However, vibrations in human motion and the uneven distribution of point cloud features in complex environments often lead to
-
Coherence of recurring fires and land use change in South America Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-11 Shulin Ren, Xiyan Xu, Gensuo Jia, Anqi Huang, Wei Ma
-
Accounting for residual errors in atmosphere–ocean background models applied in satellite gravimetry J. Geod. (IF 4.4) Pub Date : 2024-04-10 Linus Shihora, Zhijun Liu, Kyriakos Balidakis, Josefine Wilms, Christoph Dahle, Frank Flechtner, Robert Dill, Henryk Dobslaw
-
Simulation analysis on resonance and direct approaches for determining free core nutation parameters with celestial pole offsets J. Geod. (IF 4.4) Pub Date : 2024-04-09 Xiaoming Cui, Ning Li, Lizhuo Gong, Weiwei Yang, Jianqiao Xu, Jiangcun Zhou, Mingqiang Hou, Heping Sun
-
Unsupervised shape-aware SOM down-sampling for plant point clouds ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-10 Dawei Li, Zhaoyi Zhou, Yongchang Wei
-
Editorial preface to special issue: The Earth System during icehouse Climate Modes: Evidence from glacial records in China Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-10 Xianguo Lang, Bing Shen, Jitao Chen, Matthew Dodd
-
An updated chronostratigraphic framework for the Cenozoic sediments of southeast margin of the Tibetan Plateau: Implications for regional tectonics Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-10 Shihu Li, Robert A. Spicer, Tao Su, Zhekun Zhou, Chenglong Deng
As one of the most important accommodation zones during the India-Asia collision, the southeast margin of the Tibetan Plateau (SEMTP) is characterized by many large-scale strike-slip faults, a regional low-relief relict that has been deeply incised by several continental scale rivers that originate from central Tibet, and numerous plant and vertebrate fossil biotas residing in Cenozoic sedimentary
-
A refined full-spectrum temperature-induced subsurface thermal expansion model and its contribution to the vertical displacement of global GNSS reference stations J. Geod. (IF 4.4) Pub Date : 2024-04-08 Zhao Li, Ran Lu, Weiping Jiang, Danan Dong, Jintao Lei, Yang Lu, Xin Ding, Kaichun Yang, Hua Chen, Qusen Chen
-
Efficient structure from motion for UAV images via anchor-free parallel merging ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-09 San Jiang, Yichen Ma, Wanshou Jiang, Qingquan Li
This paper primarily presents a parallel incremental Structure from Motion (ISfM) solution for large-scale images captured by unmanned aerial vehicles (UAVs). The core ideas are a local connection-constrained edge weighting strategy for match graph construction and an anchor-free parallel merging algorithm for the merged model generation. First, an effective algorithm is employed to retrieve spatially
-
Corrigendum to “Ground subsidence in Tucson, Arizona, monitored by time-series analysis using multi-sensor InSAR datasets from 1993 to 2011” [ISPRS J. Photogramm. Remote Sens. 107 (2015) 126–141] ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-09 Jin-Woo Kim, Zhong Lu, Yuanyuan Jia, C.K. Shum
-
Joint target and background temporal propagation for aerial tracking ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-09 Xu Lei, Wensheng Cheng, Chang Xu, Wen Yang
Tracking objects from aerial imagery is significant in numerous remote sensing-based applications, including environmental monitoring, security surveillance, and search & rescue. However, tracking specific targets in aerial images is still challenging due to target appearance variation and similar object distraction. To address these challenges, we propose a joint target and background temporal propagation
-
AiTARs-Net: A novel network for detecting arbitrary-oriented transverse aeolian ridges from Tianwen-1 HiRIC images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-09 Zhen Cao, Zhizhong Kang, Teng Hu, Ze Yang, Dong Chen, Xiaolan Ren, Qingyu Meng, Dong Wang
-
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time-series analysis based on Sentinel-1 and Sentinel-2 Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-03 Patrick Kacic, Ursula Gessner, Stefanie Holzwarth, Frank Thonfeld, Claudia Kuenzer
-
The SAR2Height framework for urban height map reconstruction from single SAR intensity images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-08 Michael Recla, Michael Schmitt
-
RANSAC-based instantaneous real-time kinematic positioning with GNSS triple-frequency signals in urban areas J. Geod. (IF 4.4) Pub Date : 2024-04-06
Abstract The demand for high-precision positioning has risen substantially in modern urban settings. In that regard, Global Navigation Satellite Systems (GNSS) offer several advantages such as global coverage, real-time capability, high accuracy, ease of use, and cost-effectiveness. The accuracy of GNSS-based positioning, however, suffers in urban environments due to signal blockage, reflection, and
-
Global, spatially explicit modelling of zenith wet delay with XGBoost J. Geod. (IF 4.4) Pub Date : 2024-04-05
Abstract Radio signals transmitted by Global Navigation Satellite System (GNSS) satellites experience tropospheric delays. While the hydrostatic part, referred to as zenith hydrostatic delay (ZHD) when mapped to the zenith direction, can be analytically modelled with sufficient accuracy, the wet part, referred to as zenith wet delay (ZWD), is much more difficult to determine and needs to be estimated
-
A satellite-field phenological bridging framework for characterizing community-level spring forest phenology using multi-scale satellite imagery ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-06 Chunyuan Diao, Carol K. Augspurger, Yilun Zhao, Carl F. Salk
Forest phenology, as a sensitive indicator of a forest’s response to climate change and variability, has long been monitored using remote sensing, yet has seldom been interpreted or validated with spatially compatible, community-level field phenological observations. In temperate deciduous forests, multiple spring phenological phases are critical for modeling carbon storage and biogeochemical cycles
-
Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field learning ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-04 Jianeng Wu, Lirong Xiang, Hui You, Lie Tang, Jingyao Gai
Effective point cloud denoising is critical in 3D plant phenotyping applications, which reduces interference in subsequent algorithms and improves the accuracy of plant phenotypes measurement. Deep learning-based point cloud denoising algorithms have shown excellent denoising performance on simple CAD models. However, these algorithms suffer from issues including over-smoothing or shrinkage and low
-
Cycling of rare earth elements at the Precambrian-Cambrian boundary Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-04 J.G.T. Armstrong, J. Parnell
The Great Unconformity at the Precambrian-Cambrian boundary marks a global erosion surface, and a time gap which in places exceeded a billion years. The weathered sub-Cambrian rocks include abundant granites and pegmatites. These rocks and others were mineralized in several regions. The basal Cambrian sediments show that rare commodities including gold and rare earth elements (REEs) were concentrated
-
Soil inorganic carbon stock and its changes across the Tibetan Plateau during the 1980s–2020s Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-04 Honghong Lin, Xingwu Duan, Yifan Dong, Ronghua Zhong, Hua Zheng, Yun Xie, Li Rong, Haijuan Zhao, Shengzhao Wei
-
Maize stem–leaf segmentation framework based on deformable point clouds ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-03 Xin Yang, Teng Miao, Xueying Tian, Dabao Wang, Jianxiang Zhao, Lili Lin, Chao Zhu, Tao Yang, Tongyu Xu
-
Global mapping of fractional tree cover for forest cover change analysis ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-03 Yang Liu, Ronggao Liu, Lin Qi, Jilong Chen, Jinwei Dong, Xuexin Wei
Fractional tree cover facilitates the characterization of forest cover changes using satellite data. However, there are still substantial challenges in generating fractional tree cover datasets that satisfy the requirements of interannual stability for forest cover change monitoring. In this study, a global annual fractional tree cover dataset, named as GLOBMAP Fractional Tree Cover, was generated
-
PAL-SLAM2: Visual and visual–inertial monocular SLAM for panoramic annular lens ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-03 Ding Wang, Junhua Wang, Yuhan Tian, Yi Fang, Zheng Yuan, Min Xu
This paper presents PAL-SLAM2, a visual and visual–inertial monocular simultaneous localization and mapping (SLAM) system for a panoramic annular lens (PAL) with an ultra-hemispherical field of view (FoV), overcoming the limitations of traditional frameworks in handling fast turns, nighttime conditions and rapid lighting changes. The system incorporates modules for initialization, tracking, local mapping
-
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-02 Jian Cheng, Changjian Deng, Yanzhou Su, Zeyu An, Qi Wang
Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-sensing image acquisition and analysis in recent years. It has brought promising results in low-altitude monitoring tasks that require detailed visual inspections. Semantic segmentation is one of the hot topics in UAV remote sensing image analysis, as its capability to mine contextual semantic information from UAV images
-
Effects of varied modern pollen-climate calibration-set establishment approaches on quantitative climate reconstructions Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-31 Chen Liang, Yan Zhao, Qiaoyu Cui, Zhuo Zheng, Xiayun Xiao, Chunmei Ma
A representative modern calibration dataset is an essential prerequisite for a reliable quantitative reconstruction of paleoclimate. However, there has been a notable lack of systematic research on the optimal filtering of calibration sets. Four representative high-resolution pollen records were selected to repeatedly reconstruct paleoclimate using multiple approaches such as geographical distance
-
Orbital hydroclimate variability revealed by grain-size evidence in the tropical Pacific Islands since 140 ka Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-31 Xiaojie Tang, Zhaojie Yu, Zhengyao Lu, Lina Song, Zehua Song, Christophe Colin, Giuseppe Siani, Xiaoying Kang, Fengming Chang, Franck Bassinot, Shiming Wan
The past evolution of precipitation and atmospheric convection in the Western Pacific Warm Pool (WPWP) is critical for global climate changes but is under debate because of its forcing mechanisms. Here, we present a high temporal resolution (∼156 years) grain-size record of core MD01–2385 over the last 140 kyr, in offshore northern New Guinea to reveal sediment dynamics as a proxy for precipitation
-
Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-30 Juan Skobalski, Vasit Sagan, Haireti Alifu, Omar Al Akkad, Felipe A. Lopes, Fernando Grignola
Despite significant progress has been made towards crop yield prediction with remote sensing, there exist knowledge gaps on (1) the impacts of temporal resolution of imaging frequencies on yield prediction, (2) transferability of the models among different genotypes and test sites, and (3) translation of these research developments to crop breeding that benefit farmers. Existing research predominantly
-
Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-29 Yuxia Liu, Xiaoyang Zhang, Yu Shen, Yongchang Ye, Shuai Gao, Khuong H. Tran
Phenology detection from remotely sensed data remains challenging in semi-arid ecosystems due to the unique spatial heterogeneity and irregular temporal growth in plants. PlanetScope imagery, with fine spatial and temporal resolutions, is revolutionizing the earth observation sector. It has demonstrated its effectiveness in monitoring phenology dynamics across various terrestrial ecosystems. However
-
Pliocene CO2 rise due to sea-level fall as a mechanism for the delayed ice age Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-28 Shiling Yang, Yongda Wang, Xiaofang Huang, Minmin Sun, Jingtai Han, Xu Wang, Zuoling Chen, Shihao Zhang, Wenying Jiang, Zihua Tang, Zhaoyan Gu, Shangfa Xiong, Zhongli Ding
Global sea level fell progressively during the Pliocene in response to the growth of ice sheets at high northern latitudes. However, not until ∼2.7 Ma did the climate system actually generate and maintain major ice sheets in the Northern Hemisphere. A decline in atmospheric CO levels (CO) is thought to be responsible for the Pleistocene ice ages. However, the link between CO and Pliocene glaciations
-
Integrating paleolimnological hydrogen and oxygen isotope records during the Holocene on the Tibetan Plateau Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-28 Xiaoxue Gao, Zhe Sun, Xiaohuan Hou, Kejia Ji, Mingda Wang, Juzhi Hou
Stable isotopes are effective proxy indicators for past climate and environment changes. Paleolimnological hydrogen and oxygen isotopes have been used to reconstruct changes in precipitation isotopes and continental climates. However, the stable hydrogen and oxygen isotope records from lakes are rarely compared and integrated directly to study past changes in climate and environment due to their different
-
Changes in the Team of Associate Editors ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-26 Qihao Weng, Clément Mallet
-
Are longer and more intense heatwaves more prone to extreme precipitation? Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-26 Peng Sun, Yaojin Bian, Shifang Yu, Rui Yao, Zhongtian Wang, Qiang Zhang, Wenhui Chen, Chenhao Ge, Zice Ma, Wenying Du
Simultaneous/sequential occurrence of multiple extreme climate events has the tendency to inflict greater damage compared to isolated extreme climate events. The exploration of simultaneous or continuous extreme events holds profound implications for disaster risk prevention. Therefore, we identified the compound heatwaves and extreme precipitation events (CHP, extreme precipitation events following
-
Future projections of compound temperature and precipitation extremes and corresponding population exposure over global land Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-26 Yang Yang, Na Zhao
Extreme climate events are hotspots in global change. However, research on the changes in future compound events and population exposure is still limited. Leveraging from the data of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), this paper aims to analyze the temporal and spatial changes of global compound temperature and precipitation extreme events in the future. We also predict
-
Holocene Sea-level impacts on Venice Lagoon's coastal wetlands Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-26 David Kaniewski, Nick Marriner, Matteo Vacchi, Dario Camuffo, Alexandra Bivolaru, Giovanni Sarti, Duccio Bertoni, Luc Diatta, Nirefs Markakis, Amedeo Martella, Thierry Otto, Frédéric Luce, Diego Calaon, Daniela Cottica, Christophe Morhange
Venice Lagoon (Italy), the largest wetland in the Mediterranean basin, is extremely vulnerable to variations in relative sea level (RSL) which is locally defined by an average rising rate of about 2.5mm per year, resulting from both sea-level change and vertical land movements. The environmental pressures stemming from projected higher RSL rising rates will have a profound impact on Venetian coastal
-
A novel algorithm for ocean chlorophyll-a concentration using MODIS Aqua data ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-25 Julian Merder, Gang Zhao, Nima Pahlevan, Robert A. Rigby, Dimitrios M. Stasinopoulos, Anna M. Michalak
The ability to infer ocean chlorophyll- concentrations (Chl) from spaceborne instruments is key to assessments of global ocean productivity and monitoring of water quality. Here, we present a novel parametric algorithm, OCG, trained on a set of global high-performance liquid chromatography (HPLC) data that leverages Level-3 remote sensing reflectance () products from the Moderate Resolution Imaging
-
Satellite video single object tracking: A systematic review and an oriented object tracking benchmark ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-25 Yuzeng Chen, Yuqi Tang, Yi Xiao, Qiangqiang Yuan, Yuwei Zhang, Fengqing Liu, Jiang He, Liangpei Zhang
Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of position and range information of an arbitrary object, showing promising value in remote sensing applications. However, existing trackers and datasets rarely focus on the SOT of oriented objects in SV. To bridge this gap, this article presents a comprehensive review of various tracking paradigms and frameworks
-
Differences in soil fungal communities under salinity gradients in arid and semiarid regions Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-22 Yuxi Wei, Lijuan Chen, Zhenliang Yin, Qi Feng, Haiyang Xi, Chengqi Zhang, Kaiyuan Gan, Tian Yong
-
Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign J. Geod. (IF 4.4) Pub Date : 2024-03-20
Abstract Predicting Earth Orientation Parameters (EOP) is crucial for precise positioning and navigation both on the Earth’s surface and in space. In recent years, many approaches have been developed to forecast EOP, incorporating observed EOP as well as information on the effective angular momentum (EAM) derived from numerical models of the atmosphere, oceans, and land-surface dynamics. The Second
-
Recognition for SAR deformation military target from a new MiniSAR dataset using multi-view joint transformer approach ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-21 Jiming Lv, Daiyin Zhu, Zhe Geng, Shengliang Han, Yu Wang, Zheng Ye, Tao Zhou, Hongren Chen, Jiawei Huang
Accurately detecting ground armored weapons is crucial for achieving initiative advantages in military operations. Generally, satellite or airborne synthetic aperture radar (SAR) systems face limitations due to their revisit cycles and fixed flight trajectories, resulting in single-view imaging of targets, thereby hampering the recognition of small SAR ground targets. In contrast, MiniSAR possesses
-
Circumpolar Deep Water upwelling is a primary source of 10Be in Antarctic continental shelf sediments Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-21 Matthew R. Jeromson, Toshiyuki Fujioka, David Fink, Krista Simon, James Smith, Claus-Dieter Hillenbrand, Gerhard Kuhn, Alexandra L. Post, Jose Tonatiuh Sánchez-Palacios, Marcello Blaxell, T. Gabriel Enge, Duanne A. White
Beryllium-10 (Be) has been proposed as a potential proxy for investigating ice shelf presence and absence, or meltwater discharge in coastal polar environments. However, the sources and distribution of atmospherically produced meteoric-Be in the Antarctic marine realm are yet to be fully characterized, making any inferences about its concentration in sediments challenging. We present a dataset of Be
-
Reconstruction of cropland cover in topographically complex areas: The case of Sichuan Province, China, from 1671 to 2019 Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-21 Fahao Wang, Yu Ye, Xiuqi Fang
Accurately reconstructing cropland cover in topographically complex areas has long been challenging for historical anthropogenic land cover change (ALCC) datasets. Sichuan Province, one of the most topographically complex areas in China, was chosen as a case study. This study integrated historical gazetteers and modern cropland statistics and survey data to examine and correct the prefecture-level