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Three-dimensional tomographic reconstruction of ionospheric sporadic E layers with constraints from GNSS radio occultation data J. Geod. (IF 3.9) Pub Date : 2025-05-05
Tianyang Hu, Xiaohua Xu, Jia Luo, Haifeng LiuIonospheric sporadic E (Es) layers are thin layers with enhanced ionospheric electron densities (IEDs) which occur frequently in ionospheric E region. Previous detecting method based on ground-based global navigation satellite system (GNSS) observations can only obtain the horizontal maps rather than the vertical distributions and structures of Es layers. This study proposes a computerized ionospheric
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Aligning GPS/Galileo/BDS satellite integer clock products across day boundaries for continuous time and frequency transfer J. Geod. (IF 3.9) Pub Date : 2025-05-04
Jihang Lin, Jianghui Geng, Qiyuan ZhangGNSS integer ambiguity precision point positioning (IPPP) with satellite integer clock products is currently one of the most precise techniques for time and frequency transfer. However, a challenging issue that hampered the long-term performance of IPPP is the day-boundary discontinuity (DBD) that manifests at UTC (Coordinated Universal Time) midnights during the processing of multi-day GNSS observations
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MT_GAN: A SAR-to-optical image translation method for cloud removal ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-05-03
Peng Wang, Yongkang Chen, Bo Huang, Daiyin Zhu, Tongwei Lu, Mauro Dalla Mura, Jocelyn ChanussotSynthetic Aperture Radar (SAR) is an active microwave imaging and earth observation device capable of penetrating through clouds, rain, and fog, enabling it to operate effectively regardless of the weather conditions and throughout the day. However, speckle noise in SAR images can make them difficult to interpret, and optical images are often difficult to observe when they are covered by clouds. Therefore
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Estimation of surface all-wave net radiation from MODIS data using deep residual neural network based on limited samples ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-05-02
Shaopeng Li, Bo Jiang, Shunlin Liang, Xiongxin Xiao, Jianghai Peng, Hui Liang, Jiakun Han, Xiuwan YinDeep learning methods have demonstrated significant success in estimating land surface parameters from satellite data. However, these methods often require large sample sizes for optimal performance, which can be difficult to obtain. This study introduces a novel framework that combines transfer learning (TL) and data augmentation (DA) to improve the performance of a deep learning model, the residual
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Annual winter wheat mapping for unveiling spatiotemporal patterns in China with a knowledge-guided approach and multi-source datasets ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-05-02
Gaoxiang Yang, Xingrong Li, Yuan Xiong, Meng He, Lei Zhang, Chongya Jiang, Xia Yao, Yan Zhu, Weixing Cao, Tao ChengSpatially explicit information on crop distribution over large areas and long timespans is essential for optimizing agricultural spatial allocation and promoting food security. Despite the emergence of numerous remote sensing-based approaches for crop type mapping in recent years, the generation of long-term and high-quality crop type maps still remains challenging due to the poor spatiotemporal scalability
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Robust variance–covariance estimation of tropospheric turbulence improves InSAR capability for monitoring of small tectonic displacements ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-05-02
Yunmeng Cao, Ian Hamling, Zhiwei Li, Chris RollinsEvaluating uncertainties and errors in interferometric synthetic aperture radar (InSAR)-derived displacements is challenging but important for any interpretation or analysis. InSAR observation error mainly arises from tropospheric delays, particularly tropospheric turbulence which is hard to quantify in a deterministic way (e.g., using global atmospheric models). Here we propose a new variance–covariance
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Accurate computation of gravitational curvature of a tesseroid J. Geod. (IF 3.9) Pub Date : 2025-04-29
Xiao-Le DengIn recent years, the fundamental quantity of the gravitational field has been extended from gravitational potential, gravitational vector, and gravitational gradient tensor to gravitational curvature with its first measurement along the vertical direction in laboratory conditions. Previous studies numerically identified the near-zone and polar-region problems for gravitational curvature of a tesseroid
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Comparison of gap-filling methods for generating landsat-like land surface temperatures under all-weather conditions ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-30
Jiali Guo, Jinling Quan, Wenfeng Zhan, Zhongguan WenThermal infrared remote sensors provide cost-effective and widespread land surface temperatures (LSTs) but often with spatiotemporal gaps due to discrete sampling and synoptic disturbance, greatly limiting their reliability and application. Current gap-filling methods have been primarily developed and validated for medium- to low-resolution LSTs; however, with rising demand for spatiotemporally continuous
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Deep learning in remote sensing image matching: A survey ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-30
Liangzhi Li, Ling Han, Yuanxin Ye, Yuming Xiang, Tingyu ZhangDeep learning demonstrates significant potential in enhancing the techniques of remote sensing image (RSI) matching. The current review delves into the incorporation of deep learning in RSI matching methods. Four predominant strategies are elucidated: area-based matching, feature-based matching, regression-based matching, and unsupervised learning methods. Area-based strategies concentrate on the quantification
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Predicting the potential geographical distribution of peatlands in Northeast China based on the ensemble model Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-30
Haobo Wu, Zhongsheng Zhang, Zhenshan Xue, Wenwen Zhao, Luan Sang, Haitao Wu, Wenfeng Wang, Qiang Guan, Kangle LuPeatlands are vital carbon sinks and unique ecosystems which are highly sensitive to global climate change. Predicting their spatial distribution under current and future climate scenarios is essential for effective conservation and management. In this study, we developed an ensemble model using multiple algorithms to predict the dynamic distribution of suitable peatland areas in Northeast China under
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Stability up until the end: Disruption, recovery and the latest Permian nitrogen cycle at Penglaitan, China Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-29
Shane D. Schoepfer, Eldridge Machen II, Hannah Cothren, Lei Xiang, Hua ZhangNegative organic sedimentary nitrogen isotope excursions are a common feature of sedimentary records spanning the end-Permian mass extinction (EPME). These excursions likely reflect global-scale perturbations of the marine nitrogen cycle. However, most EPME sections offer too little stratigraphic resolution to assess the timing, nature, and local ecological impacts of these disruptions. The Penglaitan
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The proportion of labile REEs in the river sediments serves as an index for silicate weathering intensity Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-29
Yulong Guo, Yalong Li, Shouye YangWeathering indices derived from bulk sediment geochemistry are inevitably affected by inherited signatures from recycled sedimentary rocks. Therefore, characterizing and evaluating the impacts of sedimentary recycling becomes critically important. The proportion of labile REEs in river sediments holds promise in meeting this requirement. This is because the presence of labile REEs are primarily influenced
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Tidal flat topography mapping with Sentinel time series using cross-modal sample transfer and deep learning ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-27
Pengfei Tang, Shanchuan Guo, Lu Qie, Xingang Zhang, Hong Fang, Liang Wan, Jocelyn Chanussot, Peijun DuTidal flats are crucial components of coastal geomorphic systems, where the ocean meets the land. Timely and accurate topographic maps of tidal flats are essential for sustainable coastal management and development. Although satellite imagery-based inversion methods offer a cost-effective solution for constructing large-scale intertidal topography, their accuracy remains heavily dependent on the availability
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Numerical modeling and analysis of GNSS carrier-phase diffraction error in occlusion environments J. Geod. (IF 3.9) Pub Date : 2025-04-25
Ruijie Xi, Luming Han, Qusen Chen, Weiping Jiang, Xiaolin Meng, Xiangdong An, Wei XuanIn urban canyons or natural valleys, diffraction effect occurs when the signal of Global Navigation Satellite Systems (GNSS) transmits to the edge of obstructions, such as buildings, trees, and slopes, resulting in large diffraction error, which is one of the important error sources in carrier-phase-based precise positioning. However, the theoretical formula derivation and numerical modeling of the
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3D high-resolution numerical modelling of altimetry-derived marine gravity data J. Geod. (IF 3.9) Pub Date : 2025-04-26
Róbert ?underlík, Marek Macák, Michal Kollár, Zuzana Minarechová, Karol MikulaThe paper presents 3D numerical modelling of the altimetry-derived marine gravity data with the high horizontal resolution 1?×?1 arc min. The finite volume method (FVM) as a numerical method is used to solve the altimetry–gravimetry boundary-value problem. Large-scale parallel computations result in the disturbing potential in every finite volume of the discretized 3D computational domain between an
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Variability of microbial network complexity and stability along the size-fraction particles in the global ocean Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-26
Ting Gu, Zhuo Chen, Jun SunMarine sinking particles serve as hotspots for microbial colonization and activity, with diverse microbes co-consuming particulate organic matter (POM) to recover essential nutrients. However, the interaction patterns between such diverse and complex microbial communities and its possible impact on the marine biological carbon pump (BCP) remains unclear. Here we analyze snapshots of microbial community
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The role of atmospheric and oceanic factors on the record low Antarctic sea ice extent of 2023 Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-25
M. Swathi, Avinash Kumar, Juhi Yadav, Rahul MohanIn February 2023, the Antarctic Sea ice extent (SIE) reached a historic low of 1.7 million km2, which was 43?% lower than the monthly average extent recorded since 1979. This marked the second consecutive year of record lows, surpassing the minimum SIE from the previous year. Our study aims to understand the atmospheric and oceanic factors from September 2022 to August 2023 that contributed to these
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First paleoenvironmental calibrations for modern pollen rain of Tajikistan and Uzbekistan: A case study of pollen - vegetation functional biogeography of Arid Central Asia Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-25
Lucas Dugerdil, Odile Peyron, Guillemette Ménot, Dilfuza Egamberdieva, Jakhongir Alimov, Suzanne A.G. Leroy, Eric Garnier, Arkadiusz Nowak, Sébastien JoanninStudying modern pollen rain in Middle Asia is crucial for understanding past climate and vegetation changes. This study presents the first dataset of pollen surface samples and vegetation plots from Tajikistan and Uzbekistan, known as the Tajikistan and Uzbekistan Surface Data Base (TUSDB), to enhance our understanding of past climate and vegetation changes in Arid Central Asia (ACA). Multivariate
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A scalable transfer learning workflow for extracting biological and behavioural insights from forest elephant vocalizations Remote Sens. Ecol. Conserv. (IF 3.9) Pub Date : 2025-04-25
Alastair Pickering, Santiago Martinez Balvanera, Kate E. Jones, Daniela HedwigAnimal vocalizations encode rich biological information—such as age, sex, behavioural context and emotional state—making bioacoustic analysis a promising non‐invasive method for assessing welfare and population demography. However, traditional bioacoustic approaches, which rely on manually defined acoustic features, are time‐consuming, require specialized expertise and may introduce subjective bias
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Spectral gravity forward modelling of 3D variable densities using an arbitrary integration radius with application to lunar topographic masses J. Geod. (IF 3.9) Pub Date : 2025-04-23
Bla?ej BuchaSpectral gravity forward modelling delivers gravitational fields of mass distributions by evaluating Newton’s integral in the spectral domain. We generalize its spherical harmonic variant to 3D variable densities and to any integration radius. The former is achieved by expressing the density function as an infinite-degree polynomial in the radial direction with polynomial coefficients varying laterally
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Efficient large-scale vegetation mapping at the formation level using multi-source data: A case study in Beijing, China ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-24
Jiachen Xu, Yongmei Huang, Kai Cheng, Yi Wang, Tianyu Hu, Hongcan Guan, Yuling Chen, Yu Ren, Mengxi Chen, Zekun Yang, Jiarui Wang, Qinghua GuoFormation-level vegetation mapping is pivotal for understanding ecological processes and mechanisms, as it reveals the distribution of dominant species that shape ecosystem structure and dynamics. However, fast and accurate formation-level mapping over large geographic areas is often hindered by the lack of robust mapping frameworks, limited field survey data, and unscientific or inefficient division
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SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-24
Kaixu Bai, Ke Li, Songyun Qiu, Zhe Zheng, Penglong Jiao, Yibing Sun, Liuqing Shao, Chaoshun Liu, Xinran Li, Zhengqiang Li, Jianping Guo, Ni-Bin ChangThe sparse and uneven distribution of ground-based air quality monitoring stations poses significant challenges for large scale PM2.5 pollution mapping. Spatially heterogenous land–atmosphere interactions often lead to large uncertainties in satellite-based PM2.5 estimations from global modeling strategies. To enhance global PM2.5 mapping accuracy, particularly in poorly monitored regions, we propose
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Can satellite observations detect global ocean heat content change with high resolution by deep learning? ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-24
Hua Su, Jianchen Teng, Feiyan Zhang, An Wang, Zhanchao HuangThe development of in situ observations has significantly improved ocean heat content (OHC) estimation. However, high-resolution OHC data remain limited, hindering detailed studies on mesoscale oceanic warming variability. This study used a deep learning method-Densely Deep Neural Network (DDNN) to reconstruct a high-resolution (0.25° × 0.25°) global OHC dataset for the upper 2000m ocean from 1993
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Deep learning coupled with split window and temperature-emissivity separation (DL-SW-TES) method improves clear-sky high-resolution land surface temperature estimation ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-24
Huanyu Zhang, Tian Hu, Bo-Hui Tang, Kanishka Mallick, Xiaopo Zheng, Mengmeng Wang, Albert Olioso, Vincent Rivalland, Darren Ghent, Agnieszka Soszynska, Zoltan Szantoi, Lluís Pérez-Planells, Frank M. G?ttsche, Dra?en Skokovi?, José A. SobrinoLand surface temperature (LST) is a fundamental parameter in environmental and climatic studies. Over the past decades, various clear-sky LST retrieval methods have been developed, among which the temperature-emissivity separation (TES) algorithm prevails due to its good accuracy and the simultaneous retrieval of LST and land surface emissivity (LSE). However, TES relies on complete atmospheric profiles
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Early interglacial carbonate-dilution events increased terrigenous organic matter deposition in seamount sediments of the northern South China Sea since the last deglaciation Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-23
Fuqiang Wang, Xu Tian, Xilin Zhang, Weikun Xu, Shuwen Sun, Honghua Shi, Meixun ZhaoA thermal maximum in the West Pacific Warm Pool, with La Nin~a-like conditions prevailing during the early Holocene, triggered frequent and intensive typhoons affecting Taiwan Island. However, no studies have conclusively demonstrated whether fluvial inputs affected the deposition of terrigenous organic matter (OM) in deep-sea sediments during early interglacial carbonate-dilution events. This study
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AWDA: Adversarial and Weighted Domain Adaptation for cross-dataset change detection ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-22
Xueting Zhang, Xin Huang, Jiayi LiRecent advancements in change detection (CD) using fully-supervised methods have been significant; however, effectively applying CD in scenarios where labels are unavailable remains a challenge. To address this, our study introduces a new task, domain adaptive change detection (DACD), which transfers change knowledge from a labeled CD dataset (source domain) to an unlabeled CD dataset (target domain)
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Advancing the mapping of vegetation structure in savannas using Sentinel‐1 imagery Remote Sens. Ecol. Conserv. (IF 3.9) Pub Date : 2025-04-22
Vera Thijssen, Marianthi Tangili, Ruth A. Howison, Han OlffVegetation structure monitoring is important for the understanding and conservation of savanna ecosystems. Optical satellite imagery can be used to estimate canopy cover, but provides limited information about the structure of savannas, and is restricted to daytime and clear‐sky captures. Active remote sensing can potentially overcome this. We explore the utility of C‐band synthetic aperture radar
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Spatial variations in carbon dioxide fertilization effect on vegetation greening across the Tibetan Plateau Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-21
Yuan Zhang, Zhiyong Yang, Ci-ren Qu-zong, Skalsang Gyal, Wei Mazhang, Ying Yang, Guotai Zhang, Cuo Se, Danzeng Quzhen, Shiping Wang, Yongwen Liu, Julia A. Klein, Jinzhi Ding, Tsechoe DorjiThe impacts of shifting temperature and precipitation on vegetation dynamics in water-limited alpine ecosystems have been well-studied. However, there is a limited understanding of spatial variations in the carbon dioxide (CO2) fertilization effect (CFE) on these systems. Here, using the MODIS normalized difference vegetation index (NDVI), meteorological and CO2 gridded datasets from 2000 to 2022,
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Object detection‐assisted workflow facilitates cryptic snake monitoring Remote Sens. Ecol. Conserv. (IF 3.9) Pub Date : 2025-04-21
Storm Miller, Michael Kirkland, Kristen M. Hart, Robert A. McCleeryCamera traps are an important tool used to study rare and cryptic animals, including snakes. Time‐lapse photography can be particularly useful for studying snakes that often fail to trigger a camera's infrared motion sensor due to their ectothermic nature. However, the large datasets produced by time‐lapse photography require labor‐intensive classification, limiting their use in large‐scale studies
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Climate and topography controls on chemical weathering in Changjiang River Basin Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-20
Shijun Wang, Chao Li, Zhifei Duan, Nicholas Chia Wei Ng, Shouye YangChemical weathering of silicates serves as an important carbon sink, with profound implications for global climate change and carbon cycling. In large river basins, the complex topography and varied climate within the basin make it challenging to quantitatively characterize the weathering features in the river basin. To study the weathering characteristics in large river basin, which is the Changjiang
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From rice planting area mapping to rice agricultural system mapping: A holistic remote sensing framework for understanding China's complex rice systems ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-19
Zizhang Zhao, Jinwei Dong, Jilin Yang, Luo Liu, Nanshan You, Xiangming Xiao, Geli ZhangInformation on the rice agricultural system, including not only planting area but also phenology and cropping intensity, is critical for advancing our understanding of food and water security, methane emissions, carbon and nitrogen cycles, and avian influenza transmission. However, existing efforts primarily focus on mapping planting area and lack a comprehensive picture of the rice agricultural system
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The demise of an icehouse: Calibrating the end of the LPIA Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-19
N. Griffis, R. Mundil, I.P. Monta?ez, P. Dietrich, D. Le Heron, R. Iannuzzi, B. Linol, T. Mottin, J. Richey, C. KettlerEarth has experienced three complete icehouse-greenhouse turnovers in the Phanerozoic, with the Late Paleozoic Ice Age (LPIA) recognized as the last and most extreme icehouse. The nature, scale and dynamics of the LPIA are characterized by periods of intense glaciation, which are often interrupted by short-lived (1–2 Myrs) intervals associated with ice-free or distal from ice conditions. In this study
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Crustal response to slab tearing and detachment: Inferences from the kinematics of the Dinarides-Hellenides transition Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-19
Nikola Randjelovic, Liviu Matenco, Nemanja Krstekani?, Maja Male?, Uros Stojadinovi?, Marinko Tolji?, Ernst Willingshofer, Branislav Trivi?Complex slab tearing mechanisms are often associated with a lateral transition from continental indentation to subduction of oceanic or thinned continental lithosphere. These geodynamic conditions lead to the formation of crustal transfer zones associated with significant strain partitioning. A key area to study such mechanisms is the transition between the Dinarides and Hellenides mountain chains
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A robust framework for mapping complex cropping patterns: The first national-scale 10?m map with 10 crops in China using Sentinel 1/2 images ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-18
Bingwen Qiu, Fangzheng Wu, Xiang Hu, Peng Yang, Wenbin Wu, Jin Chen, Xuehong Chen, Liyin He, Berry Joe, Francesco N. Tubiello, Jianping Qian, Laigang WangComplex cropping patterns with crop diversity are an underexploited treasure for global food security. However, significant methodological and dataset gaps in fully characterizing cropland cultivated with multiple crops and rotation sequences hinder our ability to understand and promote sustainable agricultural systems. Existing crop mapping models are challenged by the deficiency of ground reference
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New maps of mafic mineral abundances in global mare units on the Moon ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-18
Yuzhen Wang, Haijun Cao, Jian Chen, Changqing Liu, Xuejin Lu, Chengxiang Yin, Xiaohui Fu, Le Qiao, Guang Zhang, Chengbao Liu, Peng Zhang, Zongcheng LingLunar surface mineralogy plays a crucial role in characterizing the distribution and abundance of silicate minerals, providing pivotal insights into the geological evolution of the Moon. Existing lunar mineral distribution maps are primarily derived from the calibration of Apollo and Luna sample datasets, which are predominantly older than 3.0 Ga. However, these maps lack critical constraints from
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The decline in desert drift potential weakens aeolian dust emission Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-18
Tong Zhang, Lianyou Liu, Peijun Shi, Gangfeng Zhang, Rui Mao, Xia Xu, Zheng Fu, Honglei Jiang, Cuicui Shi, Li Ma, Zihui Zhao, Jiaojiao Dong, Yaoyao WuNear-surface wind speed (NSWS) is one of the most important factors shaping local terrain and geomorphological features, and its variations have significant environmental impacts, strongly influencing global dune dynamics and dust emissions. In recent years, the reduction in wind speed may have mitigated drought stress induced by rising temperatures, further weakening dust emissions. In this study
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On the consistency and stability of vegetation biophysical variables retrievals from Landsat-8/9 and Sentinel-2 ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-17
Najib Djamai, Richard Fernandes, Lixin Sun, Gang Hong, Luke A. Brown, Harry Morris, Jadu DashSystematic decametric resolution global mapping of vegetation biophysical variables, including fraction of absorbed photosynthetically active radiation (fAPAR), fraction of vegetation cover (fCOVER), and leaf area index (LAI), is required to support various activities, including climate adaptation, crop management, biodiversity monitoring, and ecosystem assessments. The Canada Centre for Remote Sensing
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RoIPoly: Vectorized building outline extraction using vertex and logit embeddings ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-17
Weiqin Jiao, Hao Cheng, George Vosselman, Claudio PerselloPolygonal building outlines are crucial for geographic and cartographic applications. The existing approaches for outline extraction from aerial or satellite imagery are typically decomposed into subtasks, e.g., building masking and vectorization, or treat this task as a sequence-to-sequence prediction of ordered vertices. The former lacks efficiency, and the latter often generates redundant vertices
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The unstable East Asian Summer Monsoon - ENSO relationship over the past 700 years Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-17
Jinfeng Luo, Jun Hu, Feng Zhu, Risheng Liang, Zeyu ZhouThe El Ni?o-Southern Oscillation (ENSO) is an important modulator of the East Asian Summer Monsoon (EASM), but their teleconnection has been unstable during the instrumental era. Due to the short duration of instrumental records, we utilized paleoclimate records to investigate the EASM-ENSO teleconnection over the past 700?years. Building upon an established paleoclimate data assimilation method —
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Reconstruction of Neogene circulation in Princess Elizabeth Trough, Southern Ocean – Indications for locations of carbon uptake in the past? Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-17
Gabriele Uenzelmann-Neben Dr.The atmospheric CO2 content has been discussed as one of the major factors influencing global climate. In the framework of the deep ocean forming the main reservoir of carbon dioxide, the Southern Ocean plays a crucial role in partitioning carbon between the atmosphere and the deep ocean. The processes resulting in the variability of atmospheric CO2 and carbon uptake in the deep ocean have not yet
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Holocene sea level variations drive formation of a coral atoll in southern South China Sea Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-17
Wanqiu Zhou, Gang Li, Yun Luo, Wen YanCoral reef islands are highly vulnerable habitats to global warming. The projection of future coral reef evolution is challenging due to insufficient sedimentary records. In the southern South China Sea (SCS), numerous coral islands require a thorough understanding of their Holocene depositional history to inform predictive models. This study addresses this gap by determining the depositional history
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Towards edge processing of images from insect camera traps Remote Sens. Ecol. Conserv. (IF 3.9) Pub Date : 2025-04-17
Kim Bjerge, Henrik Karstoft, Toke T. H?yeInsects represent nearly half of all known multicellular species, but knowledge about them lags behind for most vertebrate species. In part for this reason, they are often neglected in biodiversity conservation policies and practice. Computer vision tools, such as insect camera traps, for automated monitoring have the potential to revolutionize insect study and conservation. To further advance insect
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MMFF: Multiview and multi-level feature fusion method within limited sample conditions for SAR image target recognition ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-16
Benyuan Lv, Ying Luo, Jiacheng Ni, Siyuan Zhao, Jia Liang, Yingxi Liu, Qun ZhangThe fusion of SAR image features from multiple views can effectively improve the recognition performance of SAR ATR tasks. However, when the number of raw samples in SAR images is limited, multiple fusions of SAR image features from different views of the same class may result in significant feature redundancy, causing overfitting of the model. To solve those problems, we propose a multiview and multi-level
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Spatiotemporal patterns of pollen-based Holocene precipitation variations in the Altai Mountains and the surrounding areas Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-14
Yangyang Zhang, Dongliang ZhangThe existing depictions of Holocene moisture variations in the Altai Mountains and the surrounding areas (i.e., the examined area) remain controversial. This study quantitatively reconstructed 16 mean annual precipitation (Pann) sequences from available fossil pollen datasets (3 sequences of our own and 13 sequences from external datasets) and combined them with 13 already available Pann sequences
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Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-13
Xianghong Zou, Jianping Li, Weitong Wu, Fuxun Liang, Bisheng Yang, Zhen DongWearable laser scanning (WLS) system has the advantages of flexibility and portability. It can be used for determining the user’s path within a prior map, which is a huge demand for applications in pedestrian navigation, collaborative mapping, augmented reality, and emergency rescue. However, existing LiDAR-based global localization methods suffer from insufficient robustness, especially in complex
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Corrigendum to “Mid-Piacenzian and future changes in South Asian precipitation under global warming” [Global and Planetary Change 248 (2025) 104760]. Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-13
Xinquan Zhou, Chuanlian Liu -
A new method for determining geoid gradient components from SWOT wide-swath data for marine gravity field J. Geod. (IF 3.9) Pub Date : 2025-04-12
Daocheng Yu, Xiaoli Deng, Ole Baltazar Andersen, Huizhong Zhu, Jia LuoThe Surface Water and Ocean Topography (SWOT) altimeter mission provides a significant opportunity to improve the accuracy of geoid gradients (GGs) and marine gravity fields. This paper presents a new method, namely LSA3, to determine the north and east (\(\xi \) and \(\eta \)) components of GGs from simulated and real SWOT data in the northern South China Sea. To fully use SWOT’s fine-scale sea surface
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DeepCropClustering: A deep unsupervised clustering approach by adopting nearest and farthest neighbors for crop mapping ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Hengbin Wang, Yuanyuan Zhao, Shaoming Li, Zhe Liu, Xiaodong ZhangExisting crop type maps usually rely on extensive ground truth, limiting the potential applicability in regions without any crop labels. Unsupervised clustering offers a promising approach for crop mapping in regions lacking labeled crop samples. However, due to the high-dimensional complexity and pronounced temporal dependencies of crop time series, existing unsupervised clustering methods are inadequate
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Super-resolution supporting individual tree detection and canopy stratification using half-meter aerial data ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Zhu Mao, Omid Abdi, Jori Uusitalo, Ville Laamanen, Veli-Pekka KivinenIndividual Tree Detection (ITD) can automatically recognize single trees and generate large-scale individual tree maps, providing essential insights for tree-by-tree forest management. However, ITD using remote sensing data becomes increasingly challenging as data quality and spatial resolution decrease. This paper proposes a Super-Resolution (SR)-based ITD method to predict individual tree locations
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TKSF-KAN: Transformer-enhanced oat yield modeling and transferability across major oat-producing regions in China using UAV multisource data ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Pengpeng Zhang, Bing Lu, Jiali Shang, Changwei Tan, Qihan Xu, Lei Shi, Shujian Jin, Xingyu Wang, Yunfei Jiang, Yadong Yang, Huadong Zang, Junyong Ge, Zhaohai ZengAccurate and efficient estimation of crop yield is crucial for enhancing crop variety testing, optimizing cultivation practices, and supporting effective crop management to ensure sustainable production. However, remote sensing-based yield models often face limitations due to geographical variability and diverse cultivation techniques, affecting both their model accuracy and transferability. This study
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SfM on-the-fly: A robust near real-time SfM for spatiotemporally disordered high-resolution imagery from multiple agents ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Zongqian Zhan, Yifei Yu, Rui Xia, Wentian Gan, Hong Xie, Giulio Perda, Luca Morelli, Fabio Remondino, Xin WangIn the last twenty years, Structure from Motion (SfM) has been a constant research hotspot in the fields of photogrammetry, computer vision, robotics etc., whereas real-time performance has only recently emerged as a topic of growing interest. This work builds upon the original on-the-fly SfM (Zhan et al., 2024) and presents an updated version (v2) with three new advancements to get better SfM reconstruction
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RSGPT: A remote sensing vision language model and benchmark ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Yu Liu, Xiang LiThe emergence of large-scale Large Language Models (LLMs), with GPT-4 as a prominent example, has significantly propelled the rapid advancement of Artificial General Intelligence (AGI) and sparked the revolution of Artificial Intelligence 2.0. In the realm of remote sensing, there is a growing interest in developing large vision language models (VLMs) specifically tailored for data analysis in this
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Saliency supervised masked autoencoder pretrained salient location mining network for remote sensing image salient object detection ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Yuxiang Fu, Wei Fang, Victor S. ShengRemote sensing image salient object detection (RSI-SOD), as an emerging topic in computer vision, has significant applications across various sectors, such as urban planning, environmental monitoring and disaster management, etc. In recent years, RSI-SOD has seen significant advancements, largely due to advanced representation learning methods and better architectures, such as convolutional neural
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Evaluating saliency scores in point clouds of natural environments by learning surface anomalies ISPRS J. Photogramm. Remote Sens. (IF 10.6) Pub Date : 2025-04-12
Reuma Arav, Dennis Wittich, Franz RottensteinerIn recent years, three-dimensional point clouds are used increasingly to document natural environments. Each dataset contains a diverse set of objects, at varying shapes and sizes, distributed throughout the data and intricately intertwined with the topography. Therefore, regions of interest are difficult to find and consequent analyses become a challenge. Inspired from visual perception principles
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Increasing susceptibility of vegetation productivity to compound drought from 2001 to 2020 Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-12
Jiwang Tang, Ben Niu, Zhigang Hu, Gang Fu, Xianzhou ZhangThe atmospheric and soil droughts have exerted substantial effects on vegetation productivity, and generally occur simultaneously due to land-atmospheric feedback. However, the temporal changes in vegetation response to soil droughts, atmospheric droughts, and their compound droughts remain largely unknown. Using vapor pressure deficit (VPD), soil moisture (SM), and two vegetation indexes including
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Potential vegetation greenness changes in the permafrost areas over the Tibetan Plateau under future climate warming Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-11
Rui Chen, Jan Nitzbon, Thomas Schneider von Deimling, Simone Maria Stuenzi, Ngai-Ham Chan, Julia Boike, Moritz LangerPermafrost degradation on the Tibetan Plateau is well-documented and expected to continue throughout this century. However, the impact of thawing permafrost on the greenness, distribution, composition, and resilience of vegetation in this region is not well understood. In this study, we combined a transient numerical permafrost model with machine learning algorithms to project the near-future thermal
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Applying historical records to extend the tropical cyclone climatology in southwestern Australia, 1830–2023 Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-11
Joanna Aldridge, Joseph ChristensenHistorical climatologies of tropical cyclones have been constructed for five of the Earth's seven tropical cyclone basins and this reappraisal for the southeastern Indian Ocean moves a step closer to completing a global compilation for the 19th and 20th centuries. The need for longer-term climatologies is especially pronounced in our case-study region in the southwest area of Western Australia, where
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Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-11
Saad Ashfaq, Muhammad Tufail, Asif Niaz, Sher Muhammad, Hassan Alzahrani, Aqil TariqIn this study, flood susceptibility maps were produced for district Nowshera by using Geographic Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA) Analytical Hierarchy Process (AHP) and Bivariate Statistical Frequency Ratio (FR) models. This study analyses twelve Hydro-geomorphological flood conditioning factors selected based on the scale and characteristics of the study area
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Mid-latitude climatic oscillation during the late Ediacaran ice age Glob. Planet. Change (IF 4.0) Pub Date : 2025-04-11
Jiajun Wang, Ruimin Wang, Zhe Qi, Shihao Fu, Gang Wang, Bing ShenThe enigmatic Ediacaran ice age bridged the extreme Cryogenian Snowball Earth glaciations and the Cambrian Explosion, and witnessed the emergence of the Ediacara biota, the earliest complex macroscopic life forms in Earth's history. However, due to the lack of precise geochronological and paleomagnetic data, the temporal and spatial distributions of Ediacaran glaciations remain controversial. It is