Climatology and Teleconnections of Mesoscale Convective Systems in an Andean Basin in Southern Ecuador: The Case of the Paute Basin by Lenin Campozano, Katja Trachte, Rolando Célleri, Esteban Samaniego, Joerg Bendix, Cristóbal Albuja, John F. Mejia

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Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood by Ling Zhang, Zhongshi Zhang, Lu Li, Xiaoling Chen, Xijin Wang, Entao Yu, Pratik Kad, Odd Helge Otterå, Chuncheng Guo, Jianzhong Lu, Mingna Wu

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A Novel Rapeseed Mapping Framework Integrating Image Fusion, Automated Sample Generation, and Deep Learning in Southwest China by Ruolan Jiang, Xingyin Duan, Song Liao, Ziyi Tang, Hao Li

“…However, existing remote sensing-based methods for rapeseed mapping in Southwest China are severely limited by insufficient training samples and persistent cloud cover. …”
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Investigating the influence of urban green spaces on urban heat island mitigation – taking four districts in Shijiazhuang as an example by Nan Zhang, Qiuning Ding, Haitao Wang

“…To conduct this survey, ECOSTRESS remote sensing imagery was acquired during distinct temporal intervals–morning, midday, and evening. …”
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Quantitative impacts of climate change and human activities on grassland growth in Xinjiang, China by Hanyi Rui, Beier Luo, Ying Wang, Lin Zhu, Qinyuan Zhu

“…This study utilized remote sensing data, i.e., Normalized Difference Vegetation Index (NDVI), to analyze the spatial trends of grassland changes from 1982 to 2015, and the correlation between NDVI and climate factors. …”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“… Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. …”
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Svalbard Meteorology by Igor Esau, Stefania Argentini, Rajmund Przybylak, Irina Repina, Anna Sjöblom

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MASFNet: Multi-level attention and spatial sampling fusion network for pine wilt disease trees detection by Dong Ren, Meng Li, Ziyu Hong, Li Liu, Jingfeng Huang, Hang Sun, Shun Ren, Pan Sao, Wenbin Wang, Jingcheng Zhang

“…Using deep learning in combination with unmanned aerial vehicle (UAV) orthophoto remote sensing images to detect PWD trees is an advanced and effective method. …”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“… Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. …”
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Analysis of Non-linear Relationship of PM2.5 Mass Concentration with Aerosol Extinction Coefficient and RH in Hefei, China by Yinan Chen, Shiguo Zhang, Yonghua Wu, Kee Yuan, Jian Huang, Dongfeng Shi, Shunxing Hu

“…Abstract Optical remote sensing of PM2.5 concentration complements ground-based in situ sampler observations and depends on aerosol extinction-to-mass conversion and meteorological factors. …”
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Aerosol Measurements over India: Comparison of MAX-DOAS Measurements with Ground-based (AERONET) and Satellite-based (MODIS) Data by Prithviraj Mali, Mriganka Sekhar Biswas, Steffen Beirle, Thomas Wagner, Shrivardhan Hulswar, Swaleha Inamdar, Anoop S. Mahajan

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Assessment of Groundwater Potential Zones of Upper Blue Nile River Basin Using Multi-Influencing Factors under GIS and RS Environment: A Case Study on Guder Watersheds, Abay Basin,... by Timketa Adula Duguma, Gemechis Adula Duguma

“…In this study, groundwater potential zones are delineated by combining remote sensing and geographical information system techniques in the Guder watersheds of the Upper Blue Nile Basin. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

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Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation by Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin

“…The rapid proliferation and open accessibility of multi-source data, such as remote sensing imagery and socio-economic datasets, have introduced new opportunities for the dynamic identification of UFZs. …”
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High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany by Johannes Heisig, Milutin Milenković, Edzer Pebesma

“…An increase in fire frequency in recent years, particularly in regions traditionally not prone to fire, such as central Europe, has increased demands for large-scale remote sensing fuel information. This study develops a methodology for mapping canopy fuels over large areas (Germany) at high spatial resolution, exclusively relying on open remote sensing data. …”
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The Interplay of Surface Composition, Mineralogy, and Physical Conditions That Affect the Surface Release Processes and Particle Environment of Mercury by Peter Wurz, Noah Jäggi, André Galli, Audrey Vorburger, Deborah Domingue, Paul S. Szabo, Johannes Benkhoff, Océane Barraud, Daniel Wolf Savin

“…In situ composition measurements of the exosphere can contribute to the study of the composition of the surface, together with a range of remote sensing techniques (ultraviolet, visible, infrared, X-ray, gamma-ray, and neutron spectroscopy). …”
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The influence of land surface temperature on Ghana’s climate variability and implications for sustainable development by Collins Oduro, Kenny Thiam Choy Lim Kam Sian, Daniel Fiifi Tawia Hagan, Hassen Babaousmail, Brian Odhiambo Ayugi, Yanjuan Wu, Tatenda Dalu, Naicheng Wu

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Potential of long-term satellite observations and reanalysis products for characterising soil drying: trends and drought events by M. Hirschi, P. Stradiotti, B. Crezee, B. Crezee, W. Dorigo, S. I. Seneviratne

“…Overall, the events tend to be least pronounced in the ACTIVE remote-sensing product across all drought metrics, particularly with respect to the magnitudes. …”
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Aridity-induced phenological shifts and greening trends in Mediterranean forest species: Insights from 28 years of Landsat data in southern Spain by Aurelio D. Herraiz, Pablo Salazar-Zarzosa, Cristina Acosta-Muñoz, Rocío Hernández-Clemente, Rafael Villar

“…These findings suggest that time-series Landsat data enhances our understanding of forest dynamics and aridity’s effects on vegetation. Remote sensing of forest species’ responses to aridity is crucial for resilience studies and species management in global change scenarios.…”
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Shifting vegetation phenology in protected areas: A response to climate change by Irina Ontel, Sorin Avram, Carmen Adriana Gheorghe, Mihaita Iulian Niculae, Ionuț Silviu Pascu, Steliana Rodino

“…Using high-resolution remote-sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS) from Terra satellite (normalized difference vegetation index (NDVI) and leaf area index (LAI)) combined with climate data from ERA5-Land Climate Reanalysis (2001−2020), this study provides a robust assessment of long-term vegetation trends. …”
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