Deriving the impact mechanism of urban green space environment on community social capital based on multi-source data integration: a case study of nanjing city, China by Feng Zhen, Mohan Liu, Runlin Yang

“…In light of this, the present study is based on the data of 1,282 residents’ questionnaire surveys conducted in Nanjing in 2022 and extracts spatial characteristic information of green space through multisource big data such as remote sensing data, street-view data, and points of interest, to investigate the influence mechanism of physical and perceived attributes of urban green space on community social capital. …”
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Mapping of land degradation using spectral angle mapper approach (SAM): the case of Inaouene watershed (Northeast Morocco) by Benzougagh, Brahim, Meshram, Sarita Gajbhiye, Fellah, Bouchta El, Mastere, Mohamed, Basri, Mohamed El, Ouchen, Ibrahim, Sadkaoui, Driss, Bammou, Youssef, Moutaoikil, Nassima, Turyasingura, Benson

“…Geographic information systems and remote sensing are an excellent tool for analyzing and evaluating the risks of the expansion of soil degradation. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…On this basis, a high temperature disaster risk map of the urban development area of Wuhan is synthesized to identify the distribution characteristics of high temperature disaster risk in the research area. Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

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The process and logical mechanism of agricultural production space contraction in mountainous areas based on actor-network theory：A case study of Lishi Village in Longde County, Ni... by CHEN Kunqiu, CHEN Yunya, LIANG Yajia, ZHENG Yuhan

“…Taking Lishi Village in Longde County as an example, it used methods such as in-depth interviews and remote sensing interpretation to sort out the evolution process of the agricultural production space in the mountainous areas of southern Ningxia Hui Autonomous Region, and explore the underlying contraction mechanism. …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. …”
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Integrated high-precision real scene 3D modeling of karst cave landscape based on laser scanning and photogrammetry by Congyuan Zhang, Jianping Chen, Ping Li, Sipeng Han, Jie Xu

“…By combining ground-based and aerial remote sensing techniques, and based on 3D laser scanning and photogrammetry, we have successfully constructed a real scene 3D model of the internal structure of a karst cave with a precision better than 4 cm. …”
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Determining Planetary Boundary Layer Height by Micro-pulse Lidar with Validation by UAV Measurements by Yueh-Chen Wang, Sheng-Hsiang Wang, Jasper R. Lewis, Shuenn-Chin Chang, Stephen M. Griffith

“…Aerosol lidar, a ground-based remote sensing method, provides the vertical distribution of aerosol at a high temporal resolution observation data, from which, the PBL structure and the position of the PBL top can be comprehensively studied. …”
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Determining the Amount of Earthquake Displacement Using Differential Synthetic Aperture Radar Interferometry (D-InSAR) and Satellite Images of Sentinel-1 A: A Case Study of Sarpol-... by Jacob Cherian

“…Given the advantages of using remote sensing data, such as the ability to check the displacement between any desired point with the proper precision on the interferogram and the extensive coverage of SAR images, it’s suggested to use radar data such as Sentinel-1 to investigate displacement of the land surface.…”
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Land use transition and its driving mechanisms in China’s human-elephant conflict areas by WANG Yuan, WANG Yahui, YANG Aoxi, FAN Hui, XIE Fei

“…[Methods] This study focuses on the human-elephant conflict areas in Pu’er City and Xishuangbanna Prefecture in Yunnan Province as the study areas, based on four periods of remote sensing images in 1990, 2000, 2010, and 2020, as well as two periods of household questionnaire survey data in 2020 and 2022, utilizing spatial analysis and input-output analysis methods to reveal the characteristics and driving mechanisms of land use transition in human-elephant conflict zones. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…This research aims to better understand the PM2.5 distribution in Sri Lanka by analyzing data collected by that BAM, and leveraging low-cost sensors, model and remote sensing data. BAM data show PM2.5 levels were “Unhealthy for Sensitive Groups” or “Unhealthy” according to the U.S. classification system, for at least 50% of the time between each November and the following February. …”
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The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

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Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

“…Abstract In the last decades, the availability of multi-source, multi-scale, and multi-resolution remote sensing data and the consequent progress of processing techniques brought a significant positive impact for landslide detection. …”
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Comparison and Impact Factor Analysis of Ground PM2.5 Retrieved by Aqua and Himawari-8 Satellite Products in Guangdong, China by Tingyuan Li, Xuejiao Deng, Jingyang Chen, Jie Xu, Jin Shen

“…Abstract Fine particulate matter (particles sizes < 2.5 µm; PM2.5) concentrations can be obtained at high spatial resolutions using satellite remote sensing. Previous studies on PM2.5 concentrations in Guangdong have used the aerosol optical depth (AOD) determined by MODIS sensors on the Terra and Aqua satellites, which both have a transit time of once per day. …”
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Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR by Shobhit Chaturvedi, Naimish Bhatt, Vatsal Shah, Keval H. Jodhani, Dhruvesh Patel, Sudhir Kumar Singh

“…This paper presents a novel integrated Geographic Information System-Multi-Criteria Decision Making (GIS-MCDM) framework for evaluating landfill site suitability in Shimla, India, a rapidly urbanizing hill station. Combining Remote Sensing-Geographic Information Systems (RS-GIS) with the Analytical Hierarchy Process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods, the framework developed a Landfill Suitability Zoning map and ranked potential sites. …”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…Abstract Detection of infrared objects is essential for applications ranging from remote sensing to thermal imaging. In certain instances, such as when the infrared target is situated at a considerable distance from the detector, the detected object exhibits diminutive dimensions with a concurrently low signal intensity, leading to a challenge in achieving precision in object detection. …”
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Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…This study presents an accurate, reliable, and generalized method to estimate LCd, providing valuable insights for assessing the large-scale heavy metal pollution status of rice using unmanned aerial vehicle remote sensing technology.…”
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Resolving the generation mechanisms and electrodynamical effects of Medium Scale Traveling Ionospheric Disturbances (MSTIDs) by Jeff Klenzing, Kate Zawdie, Elvira Astafyeva, Anna Belehaki, Meghan Burleigh, Angeline G. Burrell, Cosme A. O. B. Figueiredo, Nathaniel A. Frissell, Weizheng Fu, Dustin Hickey, Joe Huba, Pavel Inchin, Stephen R. Kaeppler, Viswanathan Lakshmi Narayanan, Mani Sivankandan, Jonathon M. Smith, Jonathon M. Smith, Chao Xiong, Tatsuhiro Yokoyama, Matt Zettergren, Shun-Rong Zhang

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