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Factor graph-based PPP-RTK for accurate and robust positioning in urban environments J. Geod. (IF 4.4) Pub Date : 2024-03-18 Xin Li, Xingxing Li, Xuanbin Wang, Hanyu Chang, Yuxuan Tan, Zhiheng Shen
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Correcting flawed orbits with significant along-track offset in LOLA data to remove apparent noise in DEM J. Geod. (IF 4.4) Pub Date : 2024-03-16
Abstract The lunar orbiter laser altimeter (LOLA) onboard the lunar reconnaissance orbiter has performed high-precision, full-coverage, and high-density laser ranging observations for the entire lunar surface since its launch. Statistics have shown that LOLA has collected 6.94 billion effective altimeter data up to June 2022. Most of the typical orbits in the LOLA dataset have a high quality and exhibit
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Evaluation of Landsat-9 interoperability with Sentinel-2 and Landsat-8 over Europe and local comparison with field surveys ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-10 F. Trevisiol, E. Mandanici, A. Pagliarani, G. Bitelli
The recent launch of Landsat-9 satellite enriches the opportunities to work with dense time series of multispectral medium-resolution images. The integration of Landsat-9 in a multi-constellation series with Landsat-8 and Sentinel-2 requires a harmonization of the surface reflectance values that can be obtained from the official Level-2 products. This paper proposes the coefficients of the optimal
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Asynchronous Holocene human population changes in north and south China as related to animal resource utilization Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-08 Yanyan Yu, Jie Yu, Haibin Wu, Feng He, Stephen J. Vavrus, Amber Johnson, Wenchao Zhang, Qin Li, Zhengtang Guo
During the Holocene, rich Neolithic and Bronze cultures developed in the middle and lower reaches of Yellow River valley (north China) and Yangtze River valley (south China), making them the core areas of past human activities. Thus, it is important to reveal the process and driving mechanism of regional population change. Agriculture development has always been taken as the key driver of population
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Low-latitude forcing on 4.2 ka event indicated by records in the Asian monsoon region Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-08 Xin Zhou, Xiaoyan Liu, Tao Zhan, Dorcas B. Oyebanji, Jixiao Zhang, Luyao Tu, Shiwei Jiang
The 4.2 ka event is an important climatic event of the Holocene that is expected to considerably influence the development of human civilizations. However, the forcing mechanism of the 4.2 ka event remains unclear, with current evidence being divided between high-latitude and low-latitude forcings. The Asian climate system contains strong summer and winter monsoon circulations, and thus the region
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Holocene forcing of aeolian dust activity over the Tibetan Plateau and its surroundings Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-08 Junhuai Yang, Haoyu Wang, Fuyuan Gao, Zhenqian Wang, Shuyuan Wang, Yijiao Fan, Tuoyu Li, Xin Liu, Wenxi Qu, Jianye Li, Yixiao Zhang, Zixuan Chen, Li Liu, Ramamoorthy Ayyamperumal, Shengli Yang, Dunsheng Xia
Aeolian deposits on the Tibetan Plateau (TP) and its surroundings provide crucial source materials for the Asian dust cycle, which significantly affects Asian and global ecosystems and climate. However, it is unclear how the dust dynamics of the TP and its surroundings are linked to Earth's climate system. To address this issue, we examined the grain size and accumulation rate of six Holocene aeolian
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The Pacific-North American teleconnection in the Cenozoic Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-08 Zhibo Li, Yongyun Hu, Jian Zhang, Xiang Li, Jiaqi Guo, Jiawenjing Lan, Qifan Lin, Shuai Yuan, Mengyu Wei, Zihan Yin, Qiang Wei, Xiujuan Bao, Jing Han, Jun Yang, Yonggang Liu, Ji Nie
The Pacific-North American teleconnection (PNA) is one of the most important atmospheric modes in the Northern Hemisphere in modern climate. Through the PNA teleconnection, climate variations in the tropical Pacific have significant impacts on North America. However, whether there existed the PNA-like mode in the deep-time climate and how it evolved remain unknown. Here, we study the evolution of the
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Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-07 Katerina Kikaki, Ioannis Kakogeorgiou, Ibrahim Hoteit, Konstantinos Karantzalos
Despite the significant negative impact of marine pollution on the ecosystem and humans, its automated detection and tracking from the broadly available satellite data is still a major challenge. In particular, most research and development efforts focus on one specific pollutant implementing, in most cases, binary classification tasks, e.g., detect or no , or target a limited number of classes, such
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A complete closed-form method for transformation from Cartesian to geodetic coordinates J. Geod. (IF 4.4) Pub Date : 2024-03-05
Abstract By introducing the auxiliary variable with respect to the reduced latitude, a new closed-form method for transforming Cartesian to geodetic coordinates has been proposed based on the solution of a special constructed unary quartic equation. The algorithm comes with rigorous and concise procedure of root-finding. Moreover, through theoretical analysis, different approaches with respective pros
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Low-altitude remote sensing-based global 3D path planning for precision navigation of agriculture vehicles - beyond crop row detection ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-05 Dongfang Li, Boliao Li, Huaiqu Feng, Shuo Kang, Jun Wang, Zhenbo Wei
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Modeling trends and periodic components in geodetic time series: a unified approach J. Geod. (IF 4.4) Pub Date : 2024-03-04
Abstract Geodetic time series are usually modeled with a deterministic approach that includes trend, annual, and semiannual periodic components having constant amplitude and phase-lag. Although simple, this approach neglects the time-variability or stochasticity of trend and seasonal components, and can potentially lead to inadequate interpretations, such as an overestimation of global navigation satellite
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WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-02 Xu Han, Chong Liu, Yuzhou Zhou, Kai Tan, Zhen Dong, Bisheng Yang
With the rapid advancement of 3D sensors, there is an increasing demand for 3D scene understanding and an increasing number of 3D deep learning algorithms have been proposed. However, a large-scale and richly annotated 3D point cloud dataset is critical to understanding complicated road and urban scenes. Motivated by the need to bridge the gap between the rising demand for 3D urban scene understanding
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Widespread increase in plant transpiration driven by global greening Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-02 Han Chen, Yizhao Wei, Jinhui Jeanne Huang
Global plant transpiration (PT) is a crucial component of the Earth's hydrological cycle and plays a significant role in regulating the exchange of water and energy between the land surface and the atmosphere. However, the long-term trend and the underlying driver of global PT remain unclear due to the significant uncertainties in estimating PT on a global scale. This study uses two sub-Mixture Density
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Estimating fractional vegetation cover from multispectral unmixing modeled with local endmember variability and spatial contextual information ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-03-01 Tianqi Zhang, Desheng Liu
Vegetation fractional cover (fCover) is an important canopy structural variable for understanding the climate-vegetation feedback. Trees and non-tree vegetation may respond differently to climate changes, yet traditional fCover estimation methods focus on quantifying fractional cover for general vegetation. Satellite-based spectral unmixing is more advantageous in this regard as it allows for trees
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Surface oceanographic changes from ∼ 25,000 to 3500 cal yr BP in the eastern Arabian Sea Glob. Planet. Change (IF 3.9) Pub Date : 2024-03-01 Jeet Majumder, Anil K. Gupta, Prasanta Sanyal, Pankaj Kumar, Rudra Narayan Mohanty, Rajveer Sharma, Mohan Kuppusamy, Mruganka K. Panigrahi
Multiproxy data of pteropods and planktic foraminifera from Core SK291/GC17 suggest significant surface paleoceanographic shifts from ∼25,000 to 3500 calibrated years before present (cal yr BP) in the eastern Arabian Sea (EAS). Increased values of the global ice-volume free stable oxygen isotope ratio of seawater (δO IVF) and stable oxygen isotope ratio in pteropod (δO IVF), as well as lower percentages
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A novel method for robust marine habitat mapping using a kernelised aquatic vegetation index ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-29 Stanley Mastrantonis, Ben Radford, Tim Langlois, Claude Spencer, Simon de Lestang, Sharyn Hickey
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Active fire-based dating accuracy for Landsat burned area maps is high in boreal and Mediterranean biomes and low in grasslands and savannas ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-28 Alana K. Neves, José M.C. Pereira, João M.N. Silva, Sílvia Catarino, Patricia Oliva, Emilio Chuvieco, Manuel L. Campagnolo
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The anisotropy of MODIS LST in urban areas: A perspective from different time scales using model simulations ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-28 Xiaoyu He, Dandan Wang, Si Gao, Xue Li, Gaijing Chang, Xiaodong Jia, Qiang Chen
Remote sensing is one of the effective means to obtain urban land surface temperature (LST), but the observed temperature varies with sensor viewing angle due to urban thermal anisotropy (UTA) and biased sensor viewing angle. The anisotropy of satellite-based LST products (e.g., MODIS LST) varies at different time scales. Previous researches focus on the anisotropy of MODIS LST at the seasonal scale
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Entropy-Based re-sampling method on SAR class imbalance target detection ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-28 Chong-Qi Zhang, Yao Deng, Ming-Zhe Chong, Zi-Wen Zhang, Yun-Hua Tan
Detection tasks based on Synthetic aperture radar (SAR) images have been studied widely but severely constrained by the quality of datasets. Meanwhile, both the unperceived category imbalance problem and SAR image discrepancy of multi-class SAR datasets are not fully considered. Researchers usually care about the foreground-background imbalance more than the class imbalance for SAR images. To solve
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Evaluating the isotopic composition of leaf organic compounds in fog-dependent Tillandsia landbeckii across the coastal Atacama Desert: Implications for hydroclimate reconstructions at the dry limit Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-28 Andrea Jaeschke, Christoph Böhm, Jan H. Schween, Enno Schefuß, Marcus A. Koch, Claudio Latorre, Sergio Contreras, Janet Rethemeyer, Holger Wissel, Andreas Lücke
Fog is an important component of the coastal climate of northern Chile and southern Peru. Moisture and nutrients from fog maintain highly endemic vegetation (lomas) as well as unique ecosystems that thrive at elevations of ca. 900–1200 m asl. Although this epiphytic CAM bromeliad is well adapted to the extreme climate, declining stocks observed over the past decades question the long-term survival
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Hazard or Non-Hazard Flood: Post Analysis for Paddy Rice, Wetland, and Other Potential Non-Hazard Flood Extraction from the VIIRS Flood Products ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-27 Donglian Sun, Tianshu Yang, Sanmei Li, Mitchell Goldberg, Satya Kalluri, Sean Helfrich, Bill Sjonberg, Lihang Zhou, Qingyuan Zhang, William Straka, Ruixin Yang, Fernando Miralles-Wilhelm
VIIRS flood products have been widely used by the National Weather Service (NWS) for river flood monitoring, and by the Federal Emergency Management Agency (FEMA) and the International Charter Program for rescue and relief efforts. However, some water bodies, like irrigated or flooded paddy rice fields, and water in seasonal wetlands, are detected as floodwater instead of permanent, seasonal, controlled
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A cluster-based disambiguation method using pose consistency verification for structure from motion ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-27 Ye Gong, Pengwei Zhou, Changfeng Liu, Yan Yu, Jian Yao, Wei Yuan, Li Li
Structure from motion (SfM) recovers scene structures and camera poses based on feature matching, and faces challenges from ambiguous scenes. There are a large number of ambiguous scenes in real environment, which contain many duplicate structures and textures. The ambiguity leads to incorrect feature matches between images with similar appearance, and makes geometric misalignment in SfM. To address
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Marine redox fluctuations during the Marinoan glaciation Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-27 Zekun Meng, Zhenfei Wang, Pengcheng Ju, Xiqiang Zhou, Chao Li, Zihu Zhang, Xingliang Zhang, Kang-Jun Huang
The proliferation of eukaryotes preceding the Cryogenian Marinoan glaciation (650–635 Ma) and the subsequent radiation of early animals imply a conceivable linkage between global glaciation and complex life evolution. However, the marine redox condition remains enigmatic during the Cryogenian, impeding our understanding of the role of O on this biological innovation. To fill this gap, we comprehensively
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Organic matter imports to the Atacama Desert using polycyclic aromatic hydrocarbons as tracer Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-26 Ramona Mörchen, Humay Rahimova, Barbara Fuentes Siegmund, Franco Arenas Diaz, Bol Roland, Eva Lehndorff
The Atacama Desert, despite its extreme hostile conditions, still harbours traces of life in its dusty surface. Until now, it remains open whether organic molecules found in topsoils have their origin from in-situ biotic processes in the hyper-arid core, or whether and to which degree they stem from outside the desert and its border regions. In order to trace atmospheric organic matter input, we analyzed
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A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-25 Nicholas Pontone, Koreen Millard, Dan K. Thompson, Luc Guindon, André Beaudoin
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Aggregated time‐series features boost species‐specific differentiation of true and false positives in passive acoustic monitoring of bird assemblages Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-25 David Singer, Jonas Hagge, Johannes Kamp, Hermann Hondong, Andreas Schuldt
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A new algorithm for the energy–water balance model to quantitatively reconstruct Holocene precipitation and vegetation: a case study from Dali Lake, North China Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-24 Yuwen Zhou, Xianyan Wang, Xusheng Li, Yuqiang Zeng, Zhiyong Han
Quantitatively reconstructing precipitation is an important component of paleoclimate research. The mean annual precipitation (MAP) of a closed-basin lake can be estimated by the energy–water balance model (EWBM). The EWBM can be divided into linear and nonlinear models, with determination of evaporation over water and land surface being the main components. However, the influence of vegetation changes
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Quantitative Holocene climate reconstruction and anthropogenic impact analysis based on the pollen records in peat sediment in Southern China Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-24 Lin Zhao, Yaoyao Zeng, Zhiguo Rao, Chao Huang, Yunxia Li, Lidan Liu, Chunmei Ma
The quantitative reconstruction of Holocene paleoclimate is pivotal for unraveling the evolution of East Asian Monsoon (EAM). Some recent studies have highlighted the escalating human activities in the late Holocene, which could potentially pose significant challenges to the precise quantitative reconstruction of paleoclimate. In this study, we undertake a quantitative reconstruction of Holocene climate
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Hydroclimatic changes in eastern China during the Holocene based on pollen data and climate modeling Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-24 Qin Li, Haibin Wu, Jun Cheng, Wenchao Zhang, Yanyan Yu, Aizhi Sun, Yunli Luo
The Asian monsoon system represents one of the world's most dynamic interactions of the cryosphere-continent-ocean-atmosphere system. Understanding and responding to changes in monsoonal precipitation is a major component of environmental management in this region, given its profound influence on socioeconomic activity in monsoonal Asia. In particular, characterizing the spatiotemporal variability
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Triangulation of the Earth’s surface and its application to the geodetic velocity field modelling J. Geod. (IF 4.4) Pub Date : 2024-02-23 Sandi Berk
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Interannual changes of urban wetlands in China’s major cities from 1985 to 2022 ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-21 Ming Wang, Dehua Mao, Yeqiao Wang, Huiying Li, Jianing Zhen, Hengxing Xiang, Yongxing Ren, Mingming Jia, Kaishan Song, Zongming Wang
With global climate change and accelerating urbanization, accurate and timely extent information on urban wetlands is extremely important for sustainable urban development and conservation of ecosystem services, supporting the implementation and evaluation of the United Nations Sustainable Development Goals (SDGs). China has experienced the most dramatic urbanization process in recent decades, but
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Unusual weakening trend of the East Asian winter monsoon during MIS 8 revealed by Chinese loess deposits and its implications for ice age dynamics Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-21 Qingzhen Hao, Shuzhen Peng, Xinbo Gao, Slobodan B. Marković, Sheng-Hua Li, Junjie Zhang, Fengjiang Li, Long Han, Yu Fu, Xuechao Wu, Luo Wang, Bing Xu, Yansong Qiao, Jimin Yu, Zhengtang Guo
A fundamental aspect of marine benthic foraminiferal δO records of the last one million years is their “saw-tooth” pattern, characterized by gradual cooling to full glacial conditions followed by very rapid glacial terminations. Understanding the mechanism of this pattern is crucial for understanding ice age dynamics. We investigated the climatic trend within each glacial of the last 880 kyr by comparing
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Multi-epoch PPP-RTK corrections: temporal characteristics, pitfalls and user-impact J. Geod. (IF 4.4) Pub Date : 2024-02-19
Abstract PPP-RTK corrections, aiding GNSS users to achieve single-receiver integer ambiguity-resolved parameter solutions, are often estimated in a recursive manner by a provider. Such recursive, multi-epoch, estimation of the corrections relies on a set of \(\mathcal {S}\) -basis parameters that are chosen by the provider so as to make the underlying measurement setup solvable. As a consequence, the
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Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-20 Chunping Qiu, Xiaoyu Zhang, Xiaochong Tong, Naiyang Guan, Xiaodong Yi, Ke Yang, Junjie Zhu, Anzhu Yu
Remote sensing image scene classification (RSI-SC) is crucial for various high-level applications, including RSI retrieval, image captioning, and object detection. Deep learning-based methods can accurately predict scene categories. However, these approaches often require numerous labeled samples for training, limiting their practicality in real-world RS applications with scarce label resources. In
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Unrestricted region and scale: Deep self-supervised building mapping framework across different cities from five continents ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-19 Qiqi Zhu, Zhen Li, Tianjian Song, Ling Yao, Qingfeng Guan, Liangpei Zhang
Building footprint information is crucial for comprehending global urban development processes. Deep learning algorithms have shown significant potential in building extraction from high spatial resolution imagery. However, the requirement for large-scale annotated data has been a limitation for applying deep learning methods to city-level or national-level building mapping. The dynamic change and
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Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-19 Zhouxin Xi, Chris Hopkinson, Laura Chasmer
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Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-19 Xiang Liu, Julian Frey, Catalina Munteanu, Martin Denter, Barbara Koch
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Scale-aware deep reinforcement learning for high resolution remote sensing imagery classification ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-17 Yinhe Liu, Yanfei Zhong, Sunan Shi, Liangpei Zhang
Land-use/land-cover (LULC) classification of high spatial resolution (HSR) remote sensing imagery has been successfully improved using deep learning techniques. However, the current deep learning-based classification methods necessitate the division of remote sensing imagery into smaller and fixed image patches, primarily due to computational constraints arising from the extensive size of these images
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Multidecadal mapping of status and trends in annual burn probability over Canada’s forested ecosystems ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-17 Christopher Mulverhill, Nicholas C. Coops, Michael A. Wulder, Joanne C. White, Txomin Hermosilla, Christopher W. Bater
Globally, wildfires burn an average of approximately 5.5 Mha of forest per year. Deriving a detailed inventory of forest fuel conditions is critical to managing resources both before and during a fire. However, data products that form the basis of these inventories often come from disparate sources, may not be subject to update, or may not capture information relevant to fuels and fire behaviour. Satellite-derived
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Daily DeepCropNet: A hierarchical deep learning approach with daily time series of vegetation indices and climatic variables for corn yield estimation ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-17 Xingguo Xiong, Renhai Zhong, Qiyu Tian, Jingfeng Huang, Linchao Zhu, Yi Yang, Tao Lin
Accurate large-scale crop yield estimation under climate variability is essential to understanding the dynamics of global food security. The deep learning method has shown well performance for crop yield estimation because of its high capacity for temporal pattern recognition. However, most existing deep learning models were usually based on multi-source time series with weekly or coarse temporal resolutions
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LoveNAS: Towards multi-scene land-cover mapping via hierarchical searching adaptive network ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-17 Junjue Wang, Yanfei Zhong, Ailong Ma, Zhuo Zheng, Yuting Wan, Liangpei Zhang
Land-cover information reflects basic Earth’s surface environments and is critical to human settlements. As a well-established deep learning architecture, the fully convolutional network has achieved impressive progress in various land-cover mapping tasks. However, most research has focused on designing powerful encoders, ignoring the exploration of decoders. The existing handcrafted decoders are relatively
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Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-17 Bo Wang, Hong Zhao, Xiaoyi Wang, Guanting Lyu, Kuangmin Chen, Jinfeng Xu, Guishan Cui, Liheng Zhong, Le Yu, Huabing Huang, Qinghong Sheng
Regional carbon sink estimation and local forest management require spatially explicit maps of bamboo distribution. However, accurate bamboo mapping is challenging due to the similarity of bamboo’s optical spectral with those of other vegetation. To gain a high-precision bamboo forest distribution map circa year 2020, we developed a novel classification framework that integrated measurements, GEDI
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Orbital-paced silicate weathering intensity and climate evolution across the Eocene-Oligocene transition in the southeastern margin of the Tibetan Plateau Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-17 He Tang, Hao Cui, Shu-Feng Li, Robert A. Spicer, Shi-Hu Li, Tao Su, Zhe-Kun Zhou, Caitlyn R. Witkowski, Vittoria Lauretano, Gang-Jian Wei
The Eocene-Oligocene transition (EOT, ∼33.9 Ma), a period of dramatic global cooling marking the onset of the Antarctic ice sheet. However, paleoclimatic reconstructions indicate a notable spatial heterogeneity in both the marine and terrestrial realms. While limited temporal resolution terrestrial records have hindered the precise understanding of short-term climate events and orbital-scale changes
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Probing the optical and molecular properties of sedimentary dissolved organic matter in the laminated diatom mats from the southern Mariana Trench Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-15 Tingcang Hu, Kexin Zheng, Min Luo, Jingqian Xie, Yulin Qi, Yunping Xu, Duofu Chen
Laminated diatom mats (LDMs) deposition, formed by the aggregation of giant diatoms (e.g., ), are recognized as a crucial driver of the global carbon and silicon cycles due to their substantial contribution to the flux of organic carbon and biogenic silica. The biogenic silica-rich sediment is one of the typical sediment types in the deep-sea setting of the tropical Pacific Ocean. Here, we analyzed
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Impact of Chondrites on trace metal distribution in the sapropel S7 (ODP Site 966): Implications for paleoenvironmental and paleoceanographic reconstructions Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-15 Ricardo D. Monedero-Contreras, Francisco J. Rodríguez-Tovar, Francisca Martínez-Ruiz
Organic-rich deposits are valuable paleo-archives, recording significant paleoceanographic changes linked to past climate variations and marine deoxygenation events. The deposition of organic-rich sediments stops when bottom-water reventilation/oxygenation occurs. This impedes organic matter preservation, enabling macro and micro burrowing-organisms to recover and bioturbate the seafloor. In this sense
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Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extraction ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-14 Fan Zhang, Xuejiao Sun, Fei Ma, Qiang Yin
The natural terrain (e.g., farm and forest) in temperate zones changes dramatically between seasons due to distinct temperatures and precipitation variations from summer to winter. Moreover, built-up areas vary little in this short period. Therefore, extracting built-up areas via change detection on polarimetric synthetic aperture radar (PolSAR) images is feasible. A common type of PolSAR change detection
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From lines to Polygons: Polygonal building contour extraction from High-Resolution remote sensing imagery ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-14 Shiqing Wei, Tao Zhang, Dawen Yu, Shunping Ji, Yongjun Zhang, Jianya Gong
Automated extraction of polygonal building contours from high-resolution remote sensing images is important for various applications. However, it remains a difficult task to achieve automated extraction of polygonal buildings at the level of human delineation due to diverse building structures and imperfect image conditions. In this paper, we propose Line2Poly, an end-to-end approach that uses feature
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A novel ionospheric TEC mapping function with azimuth parameters and its application to the Chinese region J. Geod. (IF 4.4) Pub Date : 2024-02-12 Xingliang Huo, Yuanliang Long, Haojie Liu, Yunbin Yuan, Qi Liu, Ying Li, Mingming Liu, Yanwen Liu, Weihong Sun
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Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-13 Aji John, Elli J. Theobald, Nicoleta Cristea, Amanda Tan, Janneke Hille Ris Lambers
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Genetic diversity of the Atacama Desert shrub Huidobria chilensis in the context of geography and climate Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 K. Bechir Ferchichi, T. Böhnert, B. Ritter, D. Harpke, A. Stoll, P. Morales, S. Fiedler, F. Mu, J. Bechteler, C. Münker, M.A. Koch, T. Wiehe, D. Quandt
Survival in hyperarid deserts is a major challenge for life in general and for plants in particular. The Atacama Desert presents harsh conditions such as limited rainfall, crusted soils, high soil salinity, high altitude, and intense solar radiation. These conditions, together with paleoclimatic variations over the last 10 million years, have influenced the genetic structure and connectivity of plant
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On the attribution of historical and future dryness/wetness changes in China incorporating surface resistance response to elevated CO2 Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 Shanlei Sun, Rongfan Chai, Yifang Zhang, Jia Wang, Zaoying Bi, Jinjian Li, Botao Zhou, Haishan Chen
Considering impacts of elevated CO-induced increases in surface resistance on potential evapotranspiration (PET), to revisit and attribute the changes in dryness/wetness is necessary for accurately understanding evolutions of the historical and future drying and wetting conditions. Therefore, we comprehensively investigated the historical (1965–2011) and future (2019–2098; including four scenarios)
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Sediment provenance changes in the southwestern Okhotsk Sea since MIS 5 and their implications for sediment transport dynamics Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 Anqi Wang, Zhengquan Yao, Xuefa Shi, Kunshan Wang, Yanguang Liu, Jianjun Zou, Yuriy Vasilenko, Fengdeng Shi, Zhi Dong, Xiaojing Wang, Aimei Zhu, Zhengfan Lin, Xinqing Zou, Sergey Gorbarenko, Alexander Bosin
The Okhotsk Sea, located between the Asian continent and the western Pacific, is a natural laboratory for investigating sediments source-to-sink influenced by atmosphere–ocean–land–sea ice interactions. However, despite their paleoenvironmental significance, changes in sediment provenance within the Okhotsk Sea are still debated due to the diversity of sediment sources and transport processes. Here
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Asymmetric impacts of El Niño-Southern Oscillation on summer temperature over the eastern Qinghai-Tibetan Plateau, as revealed by the blue intensity of Picea purpurea Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 Shuhua Qiao, Yang Deng, Linlin Gao, Yiyun Yuan, Qianling Huang, Xiaohua Gou
The Qinghai-Tibetan Plateau (QTP) is a region exceptionally sensitive to climate change. Warming in the QTP has more than doubled the global average temperature over the past 50 years. Numerous studies have aimed to assess recent warming by reconstructing the past climate of the QTP through tree-ring analysis. However, these studies primarily utilize ring width as the parameter. Our study marks the
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Indian summer monsoon drives synchronous interdecadal hydroclimate changes in the Tibetan Plateau and surroundings Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 Keyan Fang, Zepeng Mei, Hao Wu, Feifei Zhou, Heikki Seppä, Zhengtang Guo
The interdecadal relationship (10–100 years) between the Indian Summer Monsoon (ISM) and arid climate is pivotal in comprehending Asian hydroclimate dynamics. Despite extensive tree-ring based climate reconstructions conducted across both monsoonal and arid regions in the Tibetan Plateau (TP) and surroundings, the correlation between the ISM and arid climate on interdecadal scales remains contentious
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Temperature variability revealed by lacustrine brGDGTs in northeastern China since the Last Glacial Maximum Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-10 Chengcheng Leng, Qiaoyu Cui, Yan Zhao, Can Zhang, Xiaoshuang Sun, Tianlong Yan, Cheng Zhao
Reconstructing temperature and monsoon variability are important for comprehensive understanding of past climate changes in the Asian summer monsoon (ASM) region. Although changes in monsoon intensity and monsoon rainfall since the Last Glacial Maximum (LGM) have been extensively studied from various archives and proxies, the variability of terrestrial temperature changes in the ASM region is still
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Microbial hotspots in a relict fog-dependent Tillandsia landbeckii dune from the coastal Atacama Desert Glob. Planet. Change (IF 3.9) Pub Date : 2024-02-09 Andrea Jaeschke, S. Matthias May, Anna Hakobyan, Ramona Mörchen, Olaf Bubenzer, Stefano M. Bernasconi, Enno Schefuß, Dirk Hoffmeister, Claudio Latorre, Martina Gwozdz, Janet Rethemeyer, Claudia Knief
The hyperarid Atacama Desert in northern Chile is considered to be one of the most hostile habitats for microbial life. Despite the extreme environmental conditions, isolated patches of vegetation exist in an otherwise barren landscape. Unique dune ecosystems dominated by rootless vegetation occur at elevations of about 900–1200 m asl within the coastal mountain range and receive water and nutrients
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High completeness multi-view stereo for dense reconstruction of large-scale urban scenes ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-08 Yongjian Liao, Xuexi Zhang, Nan Huang, Chuanyu Fu, Zijie Huang, Qiku Cao, Zexi Xu, Xiaoming Xiong, Shuting Cai
Multi-View Stereo (MVS) algorithms remain a significant challenge in reconstructing a 3D model with high completeness due to the difficulty in recovering weakly textured regions and detailed parts of large-scale urban scenes. Although the Image Pyramid Structure is a popular approach for dealing with weakly textured regions, it also leads to the loss of detailed information. The proposed method solves
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Trustworthy remote sensing interpretation: Concepts, technologies, and applications ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-08 Sheng Wang, Wei Han, Xiaohui Huang, Xiaohan Zhang, Lizhe Wang, Jun Li
Geographic spaces is a vast and complex system involving multiple elements and nonlinear interactions of these elements, and rich in geographical phenomena, processes and patterns. Artificial intelligence methods (AI) are increasingly utilized to extract information of interest, patterns and insights from massive remote sensing (RS) images. Among them, two representative paradigms for RS interpretation
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Advanced underwater image restoration in complex illumination conditions ISPRS J. Photogramm. Remote Sens. (IF 12.7) Pub Date : 2024-02-08 Yifan Song, Mengkun She, Kevin Köser
Underwater image restoration has been a challenging problem for decades since the advent of underwater photography. Most solutions focus on shallow water scenarios, where the scene is uniformly illuminated by the sunlight. However, the vast majority of uncharted underwater terrain is located beyond 200 meters depth where natural light is scarce and artificial illumination is needed. In such cases,