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Satellite’s differential code bias conversion model between different IGS clock products using uncombined BDS-3 multi-frequency data J. Geod. (IF 3.9) Pub Date : 2024-10-02 Jingzhu Zhao, Lei Fan, Shiwei Guo, Chuang Shi
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Contribution to the global VGOS network by potential sites in South America J. Geod. (IF 3.9) Pub Date : 2024-09-30 María Eugenia Gómez, Laura Isabel Fernández, Hayo Hase
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Recursive classification of satellite imaging time-series: An application to land cover mapping ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-27 Helena Calatrava, Bhavya Duvvuri, Haoqing Li, Ricardo Borsoi, Edward Beighley, Deniz Erdoğmuş, Pau Closas, Tales Imbiriba
Despite the extensive body of literature focused on remote sensing applications for land cover mapping and the availability of high-resolution satellite imagery, methods for continuously updating classification maps in real-time remain limited, especially when training data is scarce. This paper introduces the recursive Bayesian classifier (RBC), which converts any instantaneous classifier into a robust
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SDCINet: A novel cross-task integration network for segmentation and detection of damaged/changed building targets with optical remote sensing imagery ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-26 Haiming Zhang, Guorui Ma, Hongyang Fan, Hongyu Gong, Di Wang, Yongxian Zhang
Buildings are primary locations for human activities and key focuses in the military domain. Rapidly detecting damaged/changed buildings (DCB) and conducting detailed assessments can effectively aid urbanization monitoring, disaster response, and humanitarian assistance. Currently, the tasks of object detection (OD) and change detection (CD) for DCB are almost independent of each other, making it difficult
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Mapping the Brazilian savanna’s natural vegetation: A SAR-optical uncertainty-aware deep learning approach ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-26 Paulo Silva Filho, Claudio Persello, Raian V. Maretto, Renato Machado
The Brazilian savanna (Cerrado) is considered a hotspot for conservation. Despite its environmental and social importance, the biome has suffered a rapid transformation process due to human activities. Mapping and monitoring the remaining vegetation is essential to guide public policies for biodiversity conservation. However, accurately mapping the Cerrado’s vegetation is still an open challenge. Its
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Small object change detection in UAV imagery via a Siamese network enhanced with temporal mutual attention and contextual features: A case study concerning solar water heaters ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-25 Shikang Tao, Mengyuan Yang, Min Wang, Rui Yang, Qian Shen
Small object change detection (SOCD) based on high-spatial resolution (HSR) images is of significant practical value in applications such as the investigation of illegal urban construction, but little research is currently available. This study proposes an SOCD model called TMACNet based on a multitask network architecture. The model modifies the YOLOv8 network into a Siamese network and adds structures
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Reconstructing high-resolution subsurface temperature of the global ocean using deep forest with combined remote sensing and in situ observations ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-25 Hua Su, Feiyan Zhang, Jianchen Teng, An Wang, Zhanchao Huang
Estimating high-resolution ocean subsurface temperature has great importance for the refined study of ocean climate variability and change. However, the insufficient resolution and accuracy of subsurface temperature data greatly limits our comprehensive understanding of mesoscale and other fine-scale ocean processes. In this study, we integrated multiple remote sensing data and in situ observations
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A unified feature-motion consistency framework for robust image matching ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-25 Yan Zhou, Jinding Gao, Xiaoping Liu
Establishing reliable feature matches between a pair of images in various scenarios is a long-standing open problem in photogrammetry. Attention-based detector-free matching with coarse-to-fine architecture has been a typical pipeline to build matches, but the cross-attention module with global receptive field may compromise the structural local consistency by introducing irrelevant regions (outliers)
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A robust approach to terrestrial relative gravity measurements and adjustment of gravity networks J. Geod. (IF 3.9) Pub Date : 2024-09-23 Franco S. Sobrero, Kevin Ahlgren, Michael G. Bevis, Demián D. Gómez, Jacob Heck, Arturo Echalar, Dana J. Caccamise, Eric Kendrick, Paola Montenegro, Ariele Batistti, Lizeth Contreras Choque, Juan Carlos Catari, Roger Tinta Sallico, Hernan Guerra Trigo
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Time series sUAV data reveal moderate accuracy and large uncertainties in spring phenology metric of deciduous broadleaf forest as estimated by vegetation index-based phenological models ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-24 Li Pan, Xiangming Xiao, Haoming Xia, Xiaoyan Ma, Yanhua Xie, Baihong Pan, Yuanwei Qin
Accurate delineation of spring phenology (e.g., start of growing season, SOS) of deciduous forests is essential for understanding its responses to environmental changes. To date, SOS dates from analyses of satellite images and vegetation index (VI) −based phenological models have notable discrepancies but they have not been fully evaluated, primarily due to the lack of ground reference data for evaluation
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Predicting gradient is better: Exploring self-supervised learning for SAR ATR with a joint-embedding predictive architecture ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-23 Weijie Li, Wei Yang, Tianpeng Liu, Yuenan Hou, Yuxuan Li, Zhen Liu, Yongxiang Liu, Li Liu
The growing Synthetic Aperture Radar (SAR) data can build a foundation model using self-supervised learning (SSL) methods, which can achieve various SAR automatic target recognition (ATR) tasks with pretraining in large-scale unlabeled data and fine-tuning in small-labeled samples. SSL aims to construct supervision signals directly from the data, minimizing the need for expensive expert annotation
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VDFT: Robust feature matching of aerial and ground images using viewpoint-invariant deformable feature transformation ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-21 Bai Zhu, Yuanxin Ye, Jinkun Dai, Tao Peng, Jiwei Deng, Qing Zhu
Establishing accurate correspondences between aerial and ground images is facing immense challenges because of the drastic viewpoint, illumination, and scale variations resulting from significant differences in viewing angles, shoot timing, and imaging mechanisms. To cope with these issues, we propose an effective aerial-to-ground feature matching method, named Viewpoint-invariant Deformable Feature
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Homogeneous tokenizer matters: Homogeneous visual tokenizer for remote sensing image understanding ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-21 Run Shao, Zhaoyang Zhang, Chao Tao, Yunsheng Zhang, Chengli Peng, Haifeng Li
On the basis of the transformer architecture and the pretext task of “next-token prediction”, multimodal large language models (MLLMs) are revolutionizing the paradigm in the field of remote sensing image understanding. However, the tokenizer, as one of the fundamental components of MLLMs, has long been overlooked or even misunderstood in visual tasks. A key factor contributing to the great comprehension
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A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-20 Zhiwen Cai, Baodong Xu, Qiangyi Yu, Xinyu Zhang, Jingya Yang, Haodong Wei, Shiqi Li, Qian Song, Hang Xiong, Hao Wu, Wenbin Wu, Zhihua Shi, Qiong Hu
Accurate and timely information on the spatial distribution and areas of crop types is critical for yield estimation, agricultural management, and sustainable development. However, traditional crop classification methods often struggle to identify various crop types effectively due to their intricate spatiotemporal patterns and high training data demands. To address this challenge, we developed a Structure-aware
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SoftFormer: SAR-optical fusion transformer for urban land use and land cover classification ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-20 Rui Liu, Jing Ling, Hongsheng Zhang
Classification of urban land use and land cover is vital to many applications, and naturally becomes a popular topic in remote sensing. The finite information carried by unimodal data, the compound land use types, and the poor signal-noise ratio caused by restricted weather conditions would inevitably lead to relatively poor classification performance. Recently in remote sensing society, multimodal
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Nonlinear least-squares solutions to the TLS multi-station registration adjustment problem ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-19 Yu Hu, Xing Fang, Wenxian Zeng
Performing multiple scans is necessary to cover an entire scene of interest, making multi-station registration adjustment a critical task in terrestrial laser scanner data processing. Existing methods either rely on pair-wise adjustment, which leads to drift accumulation and lacks global consistency, or provide an approximate solution based on a linearized model, sacrificing statistical optimality
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A thin cloud blind correction method coupling a physical model with unsupervised deep learning for remote sensing imagery ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-19 Liying Xu, Huifang Li, Huanfeng Shen, Chi Zhang, Liangpei Zhang
Thin cloud disturbs the observation of optical sensors, thus reducing the quality of optical remote sensing images and limiting the subsequent applications. However, the reliance of the existing thin cloud correction methods on the assistance of in-situ parameters, prior assumptions, massive paired data, or special bands severely limits their generalization. Moreover, due to the inadequate consideration
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An automatic procedure for mapping burned areas globally using Sentinel-2 and VIIRS/MODIS active fires in Google Earth Engine ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-19 Aitor Bastarrika, Armando Rodriguez-Montellano, Ekhi Roteta, Stijn Hantson, Magí Franquesa, Leyre Torre, Jon Gonzalez-Ibarzabal, Karmele Artano, Pilar Martinez-Blanco, Amaia Mesanza, Jesús A. Anaya, Emilio Chuvieco
Understanding the spatial and temporal trends of burned areas (BA) on a global scale offers a comprehensive view of the underlying mechanisms driving fire incidence and its influence on ecosystems and vegetation recovery patterns over extended periods. Such insights are invaluable for modeling fire emissions and the formulation of strategies for post-fire rehabilitation planning.
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Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests Remote Sens. Ecol. Conserv. (IF 3.9) Pub Date : 2024-09-18 Sarah Smith‐Tripp, Nicholas C. Coops, Christopher Mulverhill, Joanne C. White, Sarah Gergel
Western North America has seen a recent dramatic increase in large and often high‐severity wildfires. After forest fire, understanding patterns of structural recovery is important, as recovery patterns impact critical ecosystem services. Continuous forest monitoring provided by satellite observations is particularly beneficial to capture the pivotal post‐fire period when forest recovery begins. However
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Weather-aware autopilot: Domain generalization for point cloud semantic segmentation in diverse weather scenarios ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-17 Jing Du, John Zelek, Jonathan Li
3D point cloud semantic segmentation, a pivotal task in fields such as autonomous driving and urban planning, confronts the challenge of performance degradation under adverse weather conditions. Current methodologies primarily focus on optimal weather scenarios, leaving a significant gap in handling various environmental adversities like fog, rain, and snow. To bridge this gap, we propose a comprehensive
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Joint block adjustment and variational optimization for global and local radiometric normalization toward multiple remote sensing image mosaicking ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-17 Dekun Lin, Huanfeng Shen, Xinghua Li, Chao Zeng, Tao Jiang, Yongming Ma, Mingjie Xu
Multi-temporal optical remote sensing images acquired from cross-sensor platforms often show significant radiometric differences, posing challenges when mosaicking images. These challenges include inconsistent global radiometric tones, unsmooth local radiometric transitions, and visible seamlines. In this paper, to address these challenges, we propose a two-stage approach for global and local radiometric
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Global carbon cycle disruption during the latest Pliensbachian (Lower Jurassic) evidenced by simultaneous isotopic depletion in marine and terrestrial carbon pools Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-17 C.S. O'Keeffe, L. Schwark, I. Bull, H.L. Whelton, F.L. Gill, C.T.S. Little
The Pliensbachian-Toarcian (Pl-To) boundary was marked by an extinction event in marine organisms, and localised ocean anoxia – resulting in the deposition of black shales. Negative isotopic excursions in bulk organic carbon in many of these black shales, are widely believed to indicate that a global carbon cycle disruption accompanied this extinction event. The Pl-To preceded a period of more intense
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Maastrichtian-Cenozoic erosional history of the northern Peruvian Amazonian Andes implications for the Eastern Cordillera evolution (Huallaga Basin, northern Peru) Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-17 Michele Andriolli Custódio, Martin Roddaz, Roberto Ventura Santos, Elton Luiz Dantas, Stéphane Brusset, Mélanie Louterbach, Christian Hurtado, Guilherme Oliveira Gonçalves
Late Cretaceous-Cenozoic Andean mountain building may have experienced various phases of orogenesis in response to variations the dip angle of the subducting slab, distinct magmatic pulses, and shortening rates of the orogen. The timing of the Eastern Cordillera (EC) erosion and the relationship between the Andean orogenesis and the establishing of the transcontinental Amazon River remains unclarified
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Reconstructing NDVI time series in cloud-prone regions: A fusion-and-fit approach with deep learning residual constraint ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-16 Peng Qin, Huabing Huang, Peimin Chen, Hailong Tang, Jie Wang, Shuang Chen
The time series data of Normalized Difference Vegetation Index (NDVI) is crucial for monitoring changes in terrestrial vegetation. Existing reconstruction methods encounter challenges in areas prone to clouds, primarily due to inadequate utilization of spatial, temporal, periodic, and multi-sensor information, as well as a lack of physical interpretations. This frequently results in limited model performance
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Orbital and suborbital climate cycles recorded in terrestrial strata from the late Paleocene-early Eocene in the Subei Basin, East China Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-16 Juan Liu, Yanzhen Li, Liangcheng Tan, Rui Zhang, Xingxing Liu, Ze Zhang, Anguo Xiao, David B. Kemp, Chunju Huang
Interannual-to millennial-scale climate cycles have been recognized in ancient sedimentary strata and may be closely associated with solar activity. However, the physical driving mechanisms of such cycles remain a mystery. To better understand the nature and evolution of suborbital cycles in ice-free conditions, we performed a quantitative analysis of high-resolution phosphorus (P), gray-scale values
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Mercury enrichments as a paleo-volcanism proxy: Sedimentary bias and a critical analysis across the end-Triassic Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-16 Xia Hua, David B. Kemp, Jun Shen, Runsheng Yin, Xin Jin, Chunju Huang
Mercury (Hg) anomalies in sedimentary rocks have been increasingly used in paleoclimatology studies for tracing volcanic signals, as Hg emissions from volcanic activity can cause contemporaneous sedimentary Hg enrichment. However, non-volcanic sedimentary controls on Hg have clear potential to mask these signals. These factors include host phase variability linked to environmentally controlled sourcing
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Paleoclimate evolution of the Middle Triassic Guanling Formation from South China and its significance for the preservation of the Luoping biota Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-16 Zhongzhao Ding, Zhixin Ma, Shixue Hu, Shuang Dai, Qiyue Zhang, Xiao Min, Jinyuan Huang, Wen Wen, Changyong Zhou, Xinnan Fang, Tianqi Ji, Lingfeng Qin
The Middle Triassic is regarded as an important period of biotic recovery after the end-Permian mass extinction, of which the Middle Triassic Luoping biota represents a full recovery of marine ecosystem. However, the research on the relationship between biotic recovery and environmental evolution in the Middle Triassic remains poorly understood. To investigate this issue, microfacies analysis and multiple
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Spatiotemporal variability of leaf critical senescence age across northern lands and its key drivers Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-16 Xingli Xia, Cuihai You, Ruiling Lu, Ning Wei, Chenyu Bian, Ying Du, Erqian Cui, Songbo Tang, Zhiqin Tu, Jiaye Ping, Kun Huang, Jianyang Xia
Leaf senescence, a pivotal phenological event, signifies the aging of vegetation canopies and triggers abrupt shifts in various biogeochemical processes. However, the spatiotemporal pattern of leaf senescence age and its primary driving factors across northern lands remains unclear. In this study, we introduced a concept termed leaf critical senescence age (CSA) to characterize the initiation of senescence
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Climate change driven by LUCC reduced NPP in the Yellow River Basin, China Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-16 Weijiao Wang, Yaobin Wang, Shiyan Zhai, Haoming Xia, Dong Wang, Hongquan Song
Anthropogenic activities and the resulting climate change affect the type, structure, and function of ecosystems. Understanding vegetation dynamics related to anthropogenic activities and climate change is critical to address the terrestrial carbon cycle in the context of global warming. The objective of this study is to quantify the effects of human-induced land use and land cover change (LUCC) and
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The expression of the MIS 12 glacial stage in Southeastern Europe and its impact over the Middle Pleistocene hominins in Megalopolis Basin (Greece) Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-15 Geanina A. Butiseacă, Iuliana Vasiliev, Marcel T.J. van der Meer, Ines J.E. Bludau, Panagiotis Karkanas, Vangelis Tourloukis, Annett Junginger, Andreas Mulch, Eleni Panagopoulou, Katerina Harvati
Southern Europe is hypothesized to have acted as a glacial refugium for hominin populations during the Pleistocene. Of particular importance is South-East Europe, which most likely played a dual role, both as refugium and dispersal corridor, especially during the Middle Pleistocene glaciations, when drastic climatic conditions led to major sea level drops in the Aegean. However, little is known about
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MuSRFM: Multiple scale resolution fusion based precise and robust satellite derived bathymetry model for island nearshore shallow water regions using sentinel-2 multi-spectral imagery ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-14 Xiaoming Qin, Ziyin Wu, Xiaowen Luo, Jihong Shang, Dineng Zhao, Jieqiong Zhou, Jiaxin Cui, Hongyang Wan, Guochang Xu
The multi-spectral imagery based Satellite Derived Bathymetry (SDB) provides an efficient and cost-effective approach for acquiring bathymetry data of nearshore shallow water regions. Compared with conventional pixelwise inversion models, Deep Learning (DL) models have the theoretical capability to encompass a broader receptive field, automatically extracting comprehensive spatial features. However
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The ambiguity-resolved detector: a detector for the mixed-integer GNSS model J. Geod. (IF 3.9) Pub Date : 2024-09-12 P. J. G. Teunissen
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Bridging the gap between GRACE and GRACE Follow-On by combining high–low satellite-to-satellite tracking data and satellite laser ranging J. Geod. (IF 3.9) Pub Date : 2024-09-13 Matthias Weigelt, Adrian Jäggi, Ulrich Meyer, Daniel Arnold, Torsten Mayer-Gürr, Felix Öhlinger, Krzysztof Sośnica, Sahar Ebadi, Steffen Schön, Holger Steffen
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Snow depth retrieval method for PolSAR data using multi-parameters snow backscattering model ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-13 Haiwei Qiao, Ping Zhang, Zhen Li, Lei Huang, Zhipeng Wu, Shuo Gao, Chang Liu, Shuang Liang, Jianmin Zhou, Wei Sun
Snow depth (SD) is a crucial property of snow, its spatial and temporal variation is important for global change, snowmelt runoff simulation, disaster prediction, and freshwater storage estimation. Polarimetric Synthetic Aperture Radar (PolSAR) can precisely describe the backscattering of the target and emerge as an effective tool for SD retrieval. The backscattering component of dry snow is mainly
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Change of global land extreme temperature in the future Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-13 Xinlong Zhang, Taosheng Huang, Weiping Wang, Ping Shen
Understanding future temperature extremes is pivotal to preparing for and mitigating the impacts of climate change. This study proposed machine learning techniques to develop a multi-model ensemble model for high-resolution projection of global land temperature extremes under different emission scenarios, hence providing enhanced precision over previous climate model projections. By utilizing the NEX-GDDP-CMIP6
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A general albedo recovery approach for aerial photogrammetric images through inverse rendering ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-12 Shuang Song, Rongjun Qin
Modeling outdoor scenes for the synthetic 3D environment requires the recovery of reflectance/albedo information from raw images, which is an ill-posed problem due to the complicated unmodeled physics in this process (e.g., indirect lighting, volume scattering, specular reflection). The problem remains unsolved in a practical context. The recovered albedo can facilitate model relighting and shading
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Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-12 Qin Zhao, Xiaohua Hao, Tao Che, Donghang Shao, Wenzheng Ji, Siqiong Luo, Guanghui Huang, Tianwen Feng, Leilei Dong, Xingliang Sun, Hongyi Li, Jian Wang
Accurate snow cover information is crucial for studying global climate and hydrology. Although deep learning has innovated snow cover fraction (SCF) retrieval, its effectiveness in practical application remains limited. This limitation stems from its reliance on appropriate training data and the necessity for more advanced interpretability. To overcome these challenges, a novel deep learning framework
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Sequential polarimetric phase optimization algorithm for dynamic deformation monitoring of landslides ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-12 Yian Wang, Jiayin Luo, Jie Dong, Jordi J. Mallorqui, Mingsheng Liao, Lu Zhang, Jianya Gong
In the era of big SAR data, it is urgent to develop dynamic time series DInSAR processing procedures for near-real-time monitoring of landslides. However, the dense vegetation coverage in mountainous areas causes severe decorrelations, which demands high precision and efficiency of phase optimization processing. The common phase optimization using single-polarization SAR data cannot produce satisfactory
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Impacts of moisture transport on extreme precipitation in the Central Plains Urban Agglomeration, China Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-12 Yufan Chen, Shuyu Zhang, Guoqing Gong, Penghan Chen, Thian Yew Gan, Deliang Chen, Junguo Liu
In recent decades, the Central Plains Urban Agglomeration of China (CPUA) has faced recurring extreme precipitation events (EPEs), leading to severe floods, endangering residents, and causing significant property damage. This study examines the spatiotemporal patterns of summer EPEs in the CPUA from 1961 to 2022. We used the Hybrid Single-Particle Lagrangian Integrated Trajectory model to trace the
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Differences among the total electron content derived by radio occultation, global ionospheric maps and satellite altimetry J. Geod. (IF 3.9) Pub Date : 2024-09-11 M. J. Wu, P. Guo, X. Ma, J. C. Xue, M. Liu, X. G. Hu
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High-resolution mapping of grassland canopy cover in China through the integration of extensive drone imagery and satellite data ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-11 Tianyu Hu, Mengqi Cao, Xiaoxia Zhao, Xiaoqiang Liu, Zhonghua Liu, Liangyun Liu, Zhenying Huang, Shengli Tao, Zhiyao Tang, Yanpei Guo, Chengjun Ji, Chengyang Zheng, Guoyan Wang, Xiaokang Hu, Luhong Zhou, Yunxiang Cheng, Wenhong Ma, Yonghui Wang, Pujin Zhang, Yuejun Fan, Feihai Yu, Zhong Wang, Xiujuan Qiao, Xiaoli Cheng, Chunying Yin, Hongyuan Ma, Liping Li, Yan Yang, Wanyin Luo, Yanming Gong, Lei Wang
Canopy cover is a crucial indicator for assessing grassland health and ecosystem services. However, achieving accurate high-resolution estimates of grassland canopy cover at a large spatial scale remains challenging due to the limited spatial coverage of field measurements and the scale mismatch between field measurements and satellite imagery. In this study, we addressed these challenges by proposing
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Effective variance attention-enhanced diffusion model for crop field aerial image super resolution ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-11 Xiangyu Lu, Jianlin Zhang, Rui Yang, Qina Yang, Mengyuan Chen, Hongxing Xu, Pinjun Wan, Jiawen Guo, Fei Liu
Image super-resolution (SR) can significantly improve the resolution and quality of aerial imagery. Emerging diffusion models (DM) have shown superior image generation capabilities through multistep refinement. To explore their effectiveness on high-resolution cropland aerial imagery SR, we first built the CropSR dataset, which includes 321,992 samples for self-supervised SR training and two real-matched
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Increasing cross-border dust storm from Mongolia to China during 1987–2022 Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-11 Yihao Ma, Rui Mao, Cuicui Shi, Xingya Feng, Li Ma, Xingyu Song
Mongolia and northern China have the highest frequency of dust weather in Northeast Asia. Dust transport from Mongolia to China is a major cause of dust weather in northern China. However, there has been limited research on the frequency changes of cross-border dust storms from Mongolia to China over the past few decades. Based on observational data, we analyzed the variation in cross-border dust storms
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Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-10 Mofan Cheng, Wei He, Zhuohong Li, Guangyi Yang, Hongyan Zhang
Change detection, as a crucial task in the field of Earth observation, aims to identify changed pixels between multi-temporal remote-sensing images captured at the same geographical area. However, in practical applications, there are challenges of pseudo changes arising from diverse imaging conditions and different remote-sensing platforms. Existing methods either overlook the different imaging styles
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Review of synthetic aperture radar with deep learning in agricultural applications ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-09-10 Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, Pang-Ning Tan, Narendra N. Das
Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition schedule and not being affected by cloud cover and variations between day and night, have become extensively utilized in a range of agricultural applications. The advent of deep learning allows for the capture of salient features from SAR observations. This is accomplished through discerning both spatial and temporal
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Potential effects of the Emeishan large igneous province on Capitanian marine anoxia in the Upper Yangtze region Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-10 Mingzhi Kuang, Haifeng Yuan, Wenjie Li, Bolin Zhang, Chen Shen, Qinren Xiao, Xihua Zhang, Hanlin Peng, Cong Chen, Tianjun Li
The widespread Capitanian (late Guadalupian) marine anoxia/euxinia has long been regarded as a key driver of the end-Guadalupian (middle Permian) biotic crisis. However, the cause of this marine anoxia is debated, particularly regarding the influence of the Emeishan large igneous province (ELIP). To investigate the contribution of the ELIP to marine anoxia and the possible causal mechanisms, we undertook
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Western Mongolian Plateau exhibits increasing Holocene temperature Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-10 Chong Huang, Xiaozhong Huang, Jinbao Li, Ling Wang, Lan Jiang, Lixiong Xiang, Jun Zhang, Yu Hu, Xiaoyan Mu, Min Zheng, Xiuxiu Ren, Tao Wang, Jiawu Zhang, Guoliang Lei, Otgonbayar Demberel, Xiaodong Liu, Natalia Rudaya, Antje Schwalb, Yanwu Duan, Jule Xiao, Fahu Chen
The scarcity of Holocene winter temperature records from the core area of the Mongolian-Siberian High (MSH) hampers our understanding of the long-term evolution of the MSH and its modulation of the East Asian Winter Monsoon (EAWM). Here we use the body size of Pediastrum, a new and sensitive temperature proxy, from the sediments of Tolbo Lake in the western Mongolian Plateau, to reconstruct changes
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Turbulent atmospheric phase correction for SBAS-InSAR J. Geod. (IF 3.9) Pub Date : 2024-09-08 Meng Duan, Zhiwei Li, Bing Xu, Weiping Jiang, Yunmeng Cao, Ying Xiong, Jianchao Wei
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Climate variability in a 3.8 Ma old sedimentary record from the hyperarid Atacama Desert Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-07 Felix L. Arens, Jenny Feige, Alessandro Airo, Christof Sager, Lutz Hecht, Lucas Horstmann, Felix E.D. Kaufmann, Johannes Lachner, Thomas Neumann, Norbert Nowaczyk, Ferry Schiperski, Peter Steier, Alexandra Stoll, Ulrich Struck, Bernardita Valenzuela, Friedhelm von Blanckenburg, Hella Wittmann, Lukas Wacker, Dirk Wagner, Pedro Zamorano, Dirk Schulze-Makuch
The hyperarid Atacama Desert is one of the driest and oldest deserts on Earth, rendering it a valuable climate archive. However, unraveling its past climate is particularly challenging and the few studied paleoclimate records of the region reveal strong temporal and spatial variabilities. To enhance our understanding of these dynamics we investigated a sedimentary record in the Yungay valley located
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Sensitivity of western Pacific subtropical high to regional sea surface temperature changes Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-06 Lingyu Zhou, Yan Xia, Chen Zhou, Chuanfeng Zhao, Fei Xie, Lu Dong
The western Pacific subtropical high (WPSH) exerts significant influence on the climate of the Pacific region and East Asia. In this study, we systematically examined the responses of the WPSH intensity and position to regional sea surface temperature (SST) changes using idealized SST patch experiments with a climate model. Our findings reveal that the WPSH intensity is most sensitive to northern tropical
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A 70-year record reveals the poleward shift of tropical cyclone tracks in the east China coastal ocean is twice that of landward shift Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-05 Chaoran Xu, Yang Yang, Jianjun Jia, Jeremy D. Bricker, Ya Ping Wang
Analyzing the spatial-temporal changes in tropical cyclone (TC) tracks in the east China coastal ocean (ECCO) to quantify the magnitude of poleward and landward migration of TCs is of significant importance for coastal disaster mitigation and planning due to its susceptibility to the impacts of TCs. In this study, the TCs that affected the ECCO from 1949 to 2022 are classified into three typical types
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A main direction-based noise removal algorithm for ICESat-2 photon-counting LiDAR data J. Geod. (IF 3.9) Pub Date : 2024-09-04 Jiya Pan, Fan Gao, Jinliang Wang, Jianpeng Zhang, Qianwei Liu, Yuncheng Deng
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Modeling random isotropic vector fields on the sphere: theory and application to the noise in GNSS station position time series J. Geod. (IF 3.9) Pub Date : 2024-09-02 Paul Rebischung, Kevin Gobron
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Enhanced deep-water circulation facilitated rare earth elements enrichment in pelagic sediments from the northwestern Pacific Ocean Glob. Planet. Change (IF 4.0) Pub Date : 2024-09-03 Dongjie Bi, Xuefa Shi, Mu Huang, Fangyu Shen, Miao Yu, Ying Zhang, Fengdeng Shi, Jihua Liu
The lack of knowledge about the enrichment mechanism of rare earth elements and yttrium (REY) in deep-sea sediments is impeding the development of theories and exploration strategies for pelagic REY-rich sediments. Ocean circulation variability seems to be crucial in enriching REY in pelagic sediments, which, however, has not been extensively studied. Here, we examined the Pb-Nd isotopic signals of
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Towards SDG 11: Large-scale geographic and demographic characterisation of informal settlements fusing remote sensing, POI, and open geo-data ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-08-31 Wei Tu, Dongsheng Chen, Rui Cao, Jizhe Xia, Yatao Zhang, Qingquan Li
Informal settlements’ geographic and demographic mapping is essential for evaluating human-centric sustainable development in cities, thus fostering the road to Sustainable Development Goal 11. However, fine-grained informal settlements’ geographic and demographic information is not well available. To fill the gap, this study proposes an effective framework for both fine-grained geographic and demographic
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ITRF2020 seasonal geocenter motion model J. Geod. (IF 3.9) Pub Date : 2024-08-30 Paul Rebischung, Zuheir Altamimi, Xavier Collilieux, Laurent Métivier, Kristel Chanard
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A spatiotemporal shape model fitting method for within-season crop phenology detection ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2024-08-30 Ruyin Cao, Luchun Li, Licong Liu, Hongyi Liang, Xiaolin Zhu, Miaogen Shen, Ji Zhou, Yuechen Li, Jin Chen
Crop phenological information must be reliably acquired earlier in the growing season to benefit agricultural management. Although the popular shape model fitting (SMF) method and its various improved versions (e.g., SMF by the Separate phenological stage, SMF-S) have been successfully applied to after-season crop phenology detection, these existing methods cannot be applied to within-season crop phenology
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Late Triassic carbon isotope anomalies in the Canadian Cordillera: Paleoenvironmental disturbances associated with the Norian/Rhaetian boundary and end-Triassic mass extinction event Glob. Planet. Change (IF 4.0) Pub Date : 2024-08-30 Jerry Z.X. Lei, Jon M. Husson, Martyn L. Golding, Connor S. van Wieren, Michael J. Orchard, Andrew H. Caruthers, Elizabeth S. Carter
The Late Triassic was a particularly turbulent interval of the geologic past, marked by repeated paleoenvironmental instability culminating in the end-Triassic mass extinction (ETME). These episodes of disturbance are associated with enhanced volcanism, harbinger of the eventual break-up of Pangea. As evidenced by geochemical signals in the marine carbon isotope record, these events were often significant
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A refined model for the mechanisms of Precambrian phosphorite formation Glob. Planet. Change (IF 4.0) Pub Date : 2024-08-30 Quzong Baima, Xiangkun Zhu, Weibing Shen, Zhaofu Gao, Bin Yan, Yuelong Chen
Despite the economic and scientific importance of Precambrian phosphorites, our understanding of the mechanism leading to their formation remains limited, including for the largest phosphogenic episode in the late Neoproterozoic. To improve our understanding of Precambrian phosphorite formation, we combined sedimentology, petrography, and elemental, and Fe-C isotopic analyses to study the two main
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Increasing heat waves frequencies over India during post-El Niño spring and early summer seasons Glob. Planet. Change (IF 4.0) Pub Date : 2024-08-30 G.Ch. Satyanarayana, Sambasivarao Velivelli, K. Koteswara Rao, Jasti S. Chowdary, Anant Parekh, C. Gnanaseelan
The increasing frequency of extreme Heat Waves (HWs) has generated significant societal impacts in recent years. This study used different observational datasets to investigate the HW characteristics over India during the post-El Niño spring and early summer seasons (April to June; AMJ). Analysis suggests that HW days are more prevalent over India, predominantly increased in south-central and northwest