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Bias-constrained integer least squares estimation: distributional properties and applications in GNSS ambiguity resolution J. Geod. (IF 4.4) Pub Date : 2024-05-14 A. Khodabandeh, P. J. G. Teunissen
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Scattering power components from dual-pol Sentinel-1 SLC and GRD SAR data ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-14 Abhinav Verma, Avik Bhattacharya, Subhadip Dey, Carlos López-Martínez, Paolo Gamba
Accurate land cover information is pivotal in numerous planning and management activities. Synthetic Aperture Radar (SAR) data has emerged as a valuable resource for land cover assessment. Extracting scattering power components from Polarimetric SAR (PolSAR) data provides essential insights into the characteristics of land cover targets, aiding in their detailed characterization. Various techniques
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Deep learning-based harmonization and super-resolution of Landsat-8 and Sentinel-2 images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-14 Venkatesh Thirugnana Sambandham, Konstantin Kirchheim, Frank Ortmeier, Sayan Mukhopadhaya
Multi-spectral satellite images of the Earth’s surface are used in various applications, from water quality assessment and urban planning to climate monitoring, disaster response, infrastructure oversight, and agricultural surveillance. Many of these applications would benefit from higher spatial and temporal resolution of observations, which could be achieved by combining observations from several
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Rapid in-flight image quality check for UAV-enabled bridge inspection ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-13 Feng Wang, Yang Zou, Xiaoyu Chen, Cheng Zhang, Lei Hou, Enrique del Rey Castillo, James B.P. Lim
Combining Unmanned Aerial Vehicles (UAVs) and close-range photogrammetry has become a safer, more efficient, and cost-effective solution for bridge inspection compared to conventional methods. However, close-range bridge images captured by UAVs often suffer from severe quality issues, such as blurriness, improper exposure, limited coverage, or insufficient resolution. These issues can adversely affect
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Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-13 Jianhua Guo, Danfeng Hong, Zhiheng Liu, Xiao Xiang Zhu
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Sentinel-6 Michael Freilich precise orbit determination using PODRIX and TriG receiver measurements J. Geod. (IF 4.4) Pub Date : 2024-05-11 Alex Conrad, Penina Axelrad, Shailen Desai, Bruce Haines
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Mitigating the effect of source structure in geodetic VLBI by re-weighting observations using closure delays and baseline-to-jet orientation J. Geod. (IF 4.4) Pub Date : 2024-05-09 Niko Kareinen, Nataliya Zubko, Tuomas Savolainen, Ming Hui Xu, Markku Poutanen
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National-scale nighttime high-temperature anomalies from Landsat-8 OLI images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-10 Huansha Wu, Yongxue Liu, Yulin Pu, Peng Liu, Wanjing Zhao, Xiaoxiao Guo
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5G assisted GNSS precise point positioning ambiguity resolution J. Geod. (IF 4.4) Pub Date : 2024-05-09 Fangxin Li, Rui Tu, Pengfei Zhang, Rui Zhang, Lihong Fan, Siyao Wang, Xiaochun Lu
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A novel method for tropospheric delay mapping function vertical modeling J. Geod. (IF 4.4) Pub Date : 2024-05-09 Junsheng Ding, Junping Chen, Jungang Wang, Yize Zhang
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Combining deep learning with physical parameters in POC and PIC inversion from spaceborne lidar CALIOP ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-09 Zhenhua Zhang, Siqi Zhang, Michael J. Behrenfeld, Peng Chen, Cédric Jamet, Paolo Di Girolamo, Davide Dionisi, Yongxiang Hu, Xiaomei Lu, Yuliang Pan, Minzhe Luo, Haiqing Huang, Delu Pan
POC and PIC are indispensable components in the global ocean carbon cycle, their transport and space distribution being driven by the biological carbon pump and the carbonate pump. However, passive ocean color remote sensing, usually employed for POC and PIC research, experiences serious shortcomings in polar winter conditions due to its reliance on sunlight, leading to scarce data coverage in the
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Chat3D: Interactive understanding 3D scene-level point clouds by chatting with foundation model for urban ecological construction ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-09 Yiping Chen, Shuai Zhang, Ting Han, Yumeng Du, Wuming Zhang, Jonathan Li
With the artificial intelligence technology development boom, large language models are demonstrating their potential in comprehension and creativity. Large language models such as GPT-4 and Gemini have been able to powerfully study for various professional-level exams. However, as a language model itself, its powerful comprehension can only be reflected in text sequences. Currently, although videos
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Southward shift of the westerly jet intensified late Holocene dust storms on the Tibetan Plateau Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-09 Jianbao Liu, Zhitong Chen, Shengqian Chen
The climate change on the Tibetan Plateau (TP) exhibits a north-south dipole trend during the Holocene. However, it is unclear whether regional differences exist in the variations and driving mechanisms of dust storm activities across the entire TP, and whether these mechanisms align with those found in monsoonal northern China. Here, we present a high-resolution Holocene record of dust storms from
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Improved estimates for the linear Molodensky problem J. Geod. (IF 4.4) Pub Date : 2024-05-06 Fernando Sansò, Barbara Betti
The paper deals with the linearized Molodensky problem, when data are supposed to be square integrable on the telluroid S, proving that a solution exists, is unique and is stable in a space of harmonic functions with square integrable gradient on S. A similar theorem has already been proved by Sansò and Venuti (J Geod 82:909–916, 2008). Yet the result basically requires that S should have an inclination
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Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-05-08 Jordan B. Stewart, Justine M. Hudson, Bryanna A. H. Sherbo, Cortney A. Watt
Routine monitoring of cetaceans is imperative for understanding their population trends and making informed management decisions. However, the inherent nature of cetaceans and the marine ecosystems they inhabit make annual population surveys logistically and economically challenging with current survey methods. One emerging solution is utilizing very high‐resolution (VHR) satellite imagery, which is
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Using multiscale lidar to determine variation in canopy structure from African forest elephant trails Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-05-08 Jenna M. Keany, Patrick Burns, Andrew J. Abraham, Patrick Jantz, Loic Makaga, Sassan Saatchi, Fiona Maisels, Katharine Abernethy, Christopher E. Doughty
Recently classified as a unique species by the IUCN, African forest elephants (Loxodonta cyclotis) are critically endangered due to severe poaching. With limited knowledge about their ecological role due to the dense tropical forests they inhabit in central Africa, it is unclear how the Afrotropics are influenced by elephants. Although their role as seed dispersers is well known, they may also drive
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Leeuwin current dynamics in the SE Indian Ocean and implications for regional surface hydrography since the latest Miocene: Results from ODP Site 763A Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-08 Rina Rani Palei, Anil K. Gupta, Prasanta Sanyal, Manoj Kumar Jaiswal
This study examines the relationship between the ocean circulation dynamics in the eastern Indian Ocean and climate variability in Northwest (NW) Australia over the last 6.1 million years. The vertical water column of the southeastern Indian Ocean was analyzed using planktic foraminifera assemblages, and oxygen and carbon isotope ratios of surface and subsurface dwelling foraminifera from Ocean Drilling
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Effect of intra-year Landsat scene availability in land cover land use classification in the conterminous United States using deep neural networks ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-07 Giorgos Mountrakis, Shahriar S. Heydari
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Towards multi-views cloud retrieval accounting for the 3-D structure collected by directional polarization camera ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-06 Haixiao Yu, Xiaobing Sun, Bihai Tu, Rufang Ti, Jinji Ma, Jin Hong, Cheng Chen, Xiao Liu, Honglian Huang, Zeling Wang, Safura Ahmad, Yi Wang, Yizhe Fan, Yiqi Li, Yichen Wei, Yuxuan Wang, Yuyao Wang
The structure of a cloud is three-dimensional (3-D). Nevertheless, cloud research is predominantly developed in one-dimensional (1-D) hypothesis from passive optical satellite measurements. Cloud retrieval algorithms typically do not consider the parallax displacement of clouds in multi-view images. Inversion of cloud properties based on two-dimensional (2-D) coordinates cannot solve multi-view radiation
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Neural implicit shape modeling for small planetary bodies from multi-view images using a mask-based classification sampling strategy ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-05 Hao Chen, Xuanyu Hu, Konrad Willner, Zhen Ye, Friedrich Damme, Philipp Gläser, Yongjie Zheng, Xiaohua Tong, Hauke Hußmann, Jürgen Oberst
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SST and ENSO activity 282,000 years ago reconstructed from Porites coral in the South China Sea Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-05 Shichen Tao, Kam-biu Liu, Hongqiang Yan, Min Meng, Huiling Zhang, Yi Wu, Kefu Yu, Qi Shi
The El Niño-Southern Oscillation (ENSO) is the most influential climatic phenomenon on an interannual timescale. Studying the relationship between sea surface temperature (SST) and ENSO events during typical geological periods is helpful for understanding the trends of ENSO activities in the future, especially under the background of global warming. Here we quantitatively reconstructed a 115-year history
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Forest feature LiDAR SLAM (F2-LSLAM) for backpack systems ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-04 Tian Zhou, Chunxi Zhao, Cameron Patrick Wingren, Songlin Fei, Ayman Habib
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Linearly interpolating missing values in time series helps little for land cover classification using recurrent or attention networks ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-04 Xianghong Che, Hankui K. Zhang, Zhongbin B. Li, Yong Wang, Qing Sun, Dong Luo, Hao Wang
Satellite time series data, widely used for land cover classification, often contain missing values due to cloud contamination, which can negatively affect classification. Numerous strategies have been developed to reconstruct the missing values to produce regular time series for machine learning classifiers, among which the compositing followed by the linear interpolation is most widely used. However
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Lightweight and rotation-invariant place recognition network for large-scale raw point clouds ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-03 Zhenghua Zhang, Hu Liu, Xuan Wang, Mingcong Shu, Guoliang Chen, Qiuzhao Zhang
LiDAR-based place recognition is crucial for Simultaneous Localization and Mapping (SLAM) and autonomous driving. However, existing methods face challenges in achieving rotation invariance and are hindered by a large number of parameters and complex data preprocessing steps, such as ground point removal and extensive down-sampling. These limitations hinder their practical implementation in complex
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A feature selection method for multimodal multispectral LiDAR sensing ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-03 Yu Han, David Salido-Monzú, Jemil Avers Butt, Sebastian Schweizer, Andreas Wieser
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Sea surface acidification events in the Andaman Sea associated with the last Toba volcanic activity Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-03 Ana Alves, Matthieu Paulhac Buisson, Pascale Louvat, Claire Rollion-Bard, Franck Bassinot, William R. Gray, Guillaume Paris, Benoit Caron, Giulia Del Manzo, Anne Le Friant, Eva Moreno, Annachiara Bartolini
To date, little is known about the impact of super-eruptions on ocean biogeochemistry. Using boron isotopes ratios measured on planktonic foraminifera in the marine sediment core BAR94–25, we provide a high-resolution pH record in the Andaman Sea (North of Sumatra), spanning Marine Isotopic Stage 5 to 3. This transition encompasses the super-eruption of the Toba volcano, 74,000 years ago, making it
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Quantification of Holocene temperatures in the eastern Hunshandake Sandy Land using δ13C of loess organic matter Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-03 Yuqiang Zeng, Xusheng Li, Yujia Liu, Yufang Li, Lisha Qin, Cheng Zhao, Menghui Liu, Yuwen Zhou, Zhiyong Han, Yong Wang, Bin Zhang, Shuangwen Yi
The soil organic carbon isotope indicator (δC) is widely used in paleoecology and paleoclimate reconstruction due to its ability to record the history of paleovegetation change. Although it has been used as a proxy for precipitation reconstruction, increasing evidence suggests that temperature has played a crucial role in influencing the relative abundance of C/C plants in the mid-latitudes during
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Millennial calcification trends in Porites corals: Resilient skeletal density and vulnerable linear extension in response to environmental change Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-03 Guangchao Deng, Xuefei Chen, Huiling Kang, Jian-xin Zhao, Gangjian Wei
Global coral reefs are currently facing widespread declines in calcification rates, a trend that underscores the need to understand variations between calcification in contemporary and ancient corals. This study investigates the changes in coral calcification over the last millennium by analyzing 21 subfossil and 11 modern coral samples from a marginal reef in the northern South China Sea. Our results
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Unstable interdecadal relationship between the Pacific Decadal Oscillation and eastern China summer precipitation in simulated warm interglacial epochs and twenty-first century Glob. Planet. Change (IF 3.9) Pub Date : 2024-05-03 Beilei Wu, Dabang Jiang
The modern connection between the Pacific Decadal Oscillation (PDO) and eastern China summer precipitation (ECSP) at the decadal scale has been extensively studied. However, whether this correlation is stable during the warmer backgrounds in the past and future remains unclear. Clarifying this issue may yield meaningful insights into past PDO reconstruction and decadal climate projection in eastern
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Adversarial learning-based camera pose-to-image mapping network for synthesizing new view in real indoor environments ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-02 Xujie Kang, Kangling Liu, Jiang Duan, Yuanhao Gong, Guoping Qiu
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Decouple and weight semi-supervised semantic segmentation of remote sensing images ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-05-02 Wei Huang, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu
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GlobalMind: Global multi-head interactive self-attention network for hyperspectral change detection ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-30 Meiqi Hu, Chen Wu, Liangpei Zhang
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Anatomy of the spatiotemporally correlated noise in GNSS station position time series J. Geod. (IF 4.4) Pub Date : 2024-04-30 Kevin Gobron, Paul Rebischung, Kristel Chanard, Zuheir Altamimi
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Annual extent of prescribed burning on moorland in Great Britain and overlap with ecosystem services Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-29 Mike P. Shewring, Nicholas I. Wilkinson, Emma L. Teuten, Graeme M. Buchanan, Patrick Thompson, David J. T. Douglas
In the UK uplands, prescribed burning of unenclosed heath, grass and blanket bog (‘moorland’) is used to support game shooting and grazing. Burning on moorland is contentious due to its impact on peat soils, hydrology and habitat condition. There is little information on spatial and temporal patterns of burning, the overlap with soil carbon and sensitive habitats and, importantly, whether these patterns
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Asian monsoon variations over the past 21 ka: An introduction Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-29 Huayu Lu, Haibin Wu, Michael Meadows
The Asian monsoon influences the lives of more than a third of the world's population, and understanding its spatial and temporal variability is fundamental to sustainable development. The complex dynamics of this climatic system are therefore of broad scientific and societal interest. In this virtual special issue (VSI), we present 19 papers dealing with the Asian monsoon since the Last Glacial Maximum
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The influence of moisture transport processes on the stable isotopic compositions in precipitation on the South slope of the Himalayas Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-28 Niranjan Adhikari, Jing Gao, Tandong Yao, Aruna Puri, Manli Chen, Aibin Zhao
Understanding spatiotemporal variations in stable isotopes in precipitation (ẟO and ẟD) on the south slope of the Himalayas is crucial for comprehending moisture variations reaching the Tibetan Plateau (TP). Here, we analyze these variations at seven stations in Nepal spanning altitudes from 102 m to 5050 m above sea level in 2017. Our findings show no significant temperature or precipitation amount
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Towards real-time processing for UAV-mounted GPR-SAR imaging systems ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-27 María García-Fernández, Guillermo Álvarez-Narciandi, Jaime Laviada, Yuri Álvarez López, Fernando Las-Heras
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Bundle adjustment with motion constraints for uncalibrated multi-camera systems at the ground level ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-26 Debao Huang, Rongjun Qin, Mostafa Elhashash
Multi-camera systems for structure from motion (SfM) are widely deployed in many mapping applications. Existing solutions assume known rig calibration, synchronized frames among cameras, as well as overlapping field of views (FoVs). In this paper, we derive novel geometric constraints assuming minimal knowns about the multi-camera systems, to benefit low-cost and non-expert use cases where uncalibrated
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Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-26 Emma A. Higgins, Doreen S. Boyd, Tom W. Brown, Sarah C. Owen, Geertje M. F. van der Heijden, Adam C. Algar
To understand how ectotherms will respond to warming temperatures, we require information on thermal habitat quality at spatial resolutions and extents relevant to the organism. Measuring thermal habitat quality is either limited to small spatial extents, such as with ground‐based 3D operative temperature (Te) replicas, representing the temperature of the animal at equilibrium with its environment
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APC2Mesh: Bridging the gap from occluded building façades to full 3D models ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-25 Perpetual Hope Akwensi, Akshay Bharadwaj, Ruisheng Wang
The benefits of having digital twins of urban buildings are numerous. However, a major difficulty encountered in their creation from airborne LiDAR point clouds is the effective means of accurately reconstructing significant occlusions amidst point density variations and noise. To bridge the noise/sparsity/occlusion gap and generate high fidelity 3D building models, we propose APC2Mesh which integrates
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PLANES4LOD2: Reconstruction of LoD-2 building models using a depth attention-based fully convolutional neural network ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-24 Philipp Schuegraf, Jie Shan, Ksenia Bittner
Level of detail (LoD)-2 reconstruction is an inevitable task in digital twin-related applications such as disaster management, flood simulation, landslide simulation and solar panel recommendation. However, there is a lack of capable methods that can exploit fine details in RGB imagery and mitigate noise in photogrammetric digital surface models (DSMs). Our investigation is focused on the use of roof
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TemPanSharpening: A multi-temporal Pansharpening solution based on deep learning and edge extraction ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-04-23 Yifei Han, Hong Chi, Jinliang Huang, Xinyi Gao, Zhiyu Zhang, Feng Ling
The tradeoff among spatial, temporal, and spectral resolution of remote sensing (RS) images due to sensor properties limits the development of RS applications. Most image enhancement studies tend to focus on either spatio-temporal fusion or spatio-spectral fusion. As a more comprehensive solution, spatial–temporal-spectral fusion (STSF) is complicated but its potential is worth to be further explored
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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
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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
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The dominant modes of recent sea level variability from 1993 to 2020 in the China Seas Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-23 Jianlong Feng, Qiaojun Chen, Delei Li, Xinming Yang, Liang Zhao
A better understanding of internal climatic variability is essential for estimating and predicting regional sea level rise in the coming decades. Based on the satellite altimeter data, the cyclostationary empirical orthogonal function (CSEOF) analysis is used to extract and examine the seasonal signal, trend, El Niño-Southern Oscillation (ENSO)-related, and low-frequency mode of sea level anomaly in
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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
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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
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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
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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
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The greening of vegetation on the Loess Plateau has resulted in a northward shift of the vegetation greenness line Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-21 Xiaoyan Song, Peijun Xie, Wenyi Sun, Xingmin Mu, Peng Gao
Vegetation greenness is crucial for assessing vegetation dynamics and evaluating the effectiveness of ecological governance on the Loess Plateau. In this study, we utilized Google Earth Engine (GEE) platform and Landsat image to investigate the spatiotemporal evolution of vegetation greenness and the shift of vegetation greenness lines (VGLs) during the growing season on the Loess Plateau from 1987
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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
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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
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Flow regime alteration in Arctic rivers due to dam operations and climate change Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-19 Epari Ritesh Patro, Sahand Ghadimi, Abolfazl Jalali Shahrood, Nasim Fazel, Olga Makarieva, Ali Torabi Haghighi
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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
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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
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Seep carbonate clumped isotopes revealing ocean warming-induced gas hydrate dissociation Glob. Planet. Change (IF 3.9) Pub Date : 2024-04-18 Lei Liu, Hongxiang Guan, Nengyou Wu, Biao Chang, Fang Chen, Dong Feng, Sanzhong Li
The dissociation of marine methane hydrates due to the increased ocean temperature may be widespread in the context of global warming. However, direct evidence for this phenomenon is limited. Here, we reported the carbon and oxygen isotopes, mineralogy, elements, and clumped isotopes (Δ) of coring seep carbonates (MIS5e) to explore the influence of temperature changes on gas hydrate stability. The
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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
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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