Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…Soil salinization poses considerable global environmental and ecological risks. Remote-sensing time-series data enable more accurate monitoring and prediction of soil salinity levels, offering a refined approach to soil salinization assessment. …”
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Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector by J. P. Williams, J. P. Williams, M. Omara, M. Omara, A. Himmelberger, D. Zavala-Araiza, K. MacKay, K. MacKay, J. Benmergui, J. Benmergui, J. Benmergui, M. Sargent, S. C. Wofsy, S. P. Hamburg, S. P. Hamburg, R. Gautam, R. Gautam

“…Recent measurements, especially by satellite and aerial remote sensing, underscore the importance of targeting the small number of facilities emitting methane at high rates (i.e., “super-emitters”) for measurement and mitigation. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…The two physical quantities of temperature (T)/relative humidity (Hum) and atmospheric chemical potential (ACP) have been investigated with the use of the Japanese meteorological “open” data of AMeDAS (Automated Meteorological Data Acquisition System), which is a very dense “ground-based” network of meteorological stations with higher temporal and spatial resolutions than the satellite remote sensing open data. In order to obtain a clearer identification of any seismogenic effect, we have used the AMeDAS station data at local midnight (LT = 01 h) and our initial target EQ was chosen to be the famous 1995 Kobe EQ of 17 January 1995 (M = 7.3). …”
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Assessing and predicting Bojiang lake area and LULC changes from 2000 to 2045 by Muhammad Naeem, Yongqiang Zhang, Xiaoqiang Tian, Ping Miao, Congcong Li, Zhenwu Xu, Longhao Wang, Faisal Mumtaz, Zixuan Tang, Shaoyang He

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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…To ensure the algorithms were developed using accurate remote sensing reflectance data, the spectral response function of the UAS was applied to the radiometer measurements. …”
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Recommendations for developing, documenting, and distributing data products derived from NEON data by Jeff W. Atkins, Kelly S. Aho, Xuan Chen, Andrew J. Elmore, Rich Fiorella, Wenqi Luo, Danica Lombardozzi, Claire Lunch, Leah Manak, Luis X. dePablo, Allison N. Myers‐Pigg, Sydne Record, Tong Qiu, Samuel Reed, Benjamin Ruddell, Brandon Strange, Christa L. Torrens, Kelsey Yule, Andrew D. Richardson

“…These data products include both field and remote sensing data collected using standardized protocols and sampling schema, with centralized quality assurance and quality control (QA/QC) provided by NEON staff. …”
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The European summer heatwave of 2019 – a regional storyline perspective by T. Klimiuk, P. Ludwig, A. Sanchez-Benitez, H. F. Goessling, P. Braesicke, P. Braesicke, J. G. Pinto

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Dispersion modelling of particulate matter concentrations of sand product plants in a mineral complex by Y. Zehtab Yazdi, N. Mansouri, F. Atabi, H. Aghamohammadi

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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…Therefore, innovation breakthroughs are needed so that the monitoring process can be carried out efficiently but still accurately. Remote sensing technology can be applied as a solution. …”
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Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment by Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, Mukhtar Jibril Abdi, Ayman M. Elameen, Almutaz A.A. Mohammed, Hussam Eldin Elzain

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An innovative approach to prioritizing soil conservation areas under diverse scenarios by leveraging the complementary roles of soil retention services and soil erosion indicators by Eshetu Shifaw, Jinming Sha, Xiaomei Li, Peng Zhao, Jianwan Ji, Hao Zhang, Ashenafi Yimam Kassaye, Shuhui Lai, Zhonglin Ji, Yusheng Yang

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Impacts of Recent Climate Trends and Human Activity on the Land Cover Change of the Abbay River Basin in Ethiopia by Asaminew Abiyu Cherinet, Denghua Yan, Hao Wang, Xinshan Song, Tianlin Qin, Mulualem T. Kassa, Abel Girma, Batsuren Dorjsuren, Mohammed Gedefaw, Hejia Wang, Otgonbayar Yadamjav

“…Changes in land cover and vegetation in the Abbay River Basin were studied for a period of thirteen years (2001–2013) by using remote sensing, GIS analysis, land cover classification, and vegetation detection methods to assess the land cover and vegetation in the basin. …”
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Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method by Shuangfu Shi, Shuangfu Shi, Shuangyun Peng, Shuangyun Peng, Zhiqiang Lin, Zhiqiang Lin, Bangmei Huang, Dongling Ma, Dongling Ma, Ziyi Zhu, Ziyi Zhu, Yilin Zhu, Yilin Zhu, Rui Zhang, Ting Li

“…This study took Myanmar as the research area, employing a Remote Sensing Ecological Index (RSEI) model and spatial autocorrelation analysis to quantitatively evaluate the spatial distribution characteristics of Myanmar’s EEQ in 2020 and reveal its spatial dependence. …”
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Failure Mechanism and Kinematics of the Deadly September 28th 2016 Sucun Landslide, Suichang, Zhejiang, China by Hai Tian, Jianjun Gan, Hui Jiang, Chun Tang, Changtai Luo, Chenghui Wan, Bin Xu, Faliang Gui, Chengyi Liu, Nian Liu

“…Detail field surveys, 3D laser scanning, and high-density electrical methods were used to collect the geotechnical information of the complex landslide, to identify the discontinuity between the landslide material and the bedrock, and to investigate the deformation characterization and dynamic process of the rockslide. Based on remote sensing interpretation and field investigation of the deformation process of a landslide in different times and different parts, the background, mechanism, and cause of the landslide were demonstrated. …”
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Integrated Impacts of Urban Spatial Form on Thermal Environment and Zonal Regulation under the Perspective of Spatial Heterogeneity by Yan Jinlong, Yin Chaohui, An Zihao, Zhang Simin, Wen Qian, Chen Weiqiang

“…This study takes the main urban area of Wuhan as an example, based on multi-source spatial data such as Landsat-8 remote sensing images, urban land classification, and buildings, integrates geodetectors and a geographically weighted regression model (MGWR) to investigate the mechanism of the influence of the urban form on the thermal environment under the control unit at the global and local levels, and finally utilizes the K-mean clustering approach to perform impact zoning. …”
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Quantifying the Turbulent Entrainment‐Mixing Processes Based on Z‐LWC Relationships of Cloud Droplets by Shi Luo, Chunsong Lu, Yangang Liu, Haoran Li, Fengwei Zhang, Jingjing Lv, Lei Zhu, Xiaoqi Xu, Junjun Li, Xin He, Ying He, Sinan Gao, Xinlin Yang, Juan Gu, Xuemin Chen, Haining Sun

“…The results suggest the potential for employing a remote sensing approach to investigate the entrainment‐mixing mechanisms of non‐precipitating small cumulus/stratocumulus clouds, thereby overcoming the limitations of traditional observational studies that rely solely on aircraft observations.…”
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Simulating the ENSO impact on the distribution and fate of floating litter particles in the Northern South China Sea by Ke Pang, Ke Pang, Ke Pang, Yang Feng, Yang Feng, Yang Feng, Youchang Zheng, Youchang Zheng, Youchang Zheng, Chao Fang, Xiangrong Xu, Xiangrong Xu

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Emerging malaria in Indonesia: An overview of Plasmodium knowlesi infections by Nisa Fauziah, Karomahul Malaya Jati, Fedri Ruluwedrata Rinawan, Naufal Fakhri Nugraha, Bachti Alisjahbana, Jontari Hutagalung

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Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data by K. N. Reddy, S. Baidya Roy, S. S. Rabin, D. L. Lombardozzi, D. L. Lombardozzi, G. V. Varma, R. Biswas, D. C. Naik

“…The modified CLM5 performed much better than the default model in simulating the crop phenology, yield, and carbon, water, and energy fluxes compared to site-scale data and remote sensing observations. For instance, Pearson's <span class="inline-formula"><i>r</i></span> for monthly leaf area index (LAI) improved from 0.35 to 0.92, and monthly gross primary production (GPP) improved from <span class="inline-formula">−</span>0.46 to 0.79 compared to Moderate Resolution Imaging Spectroradiometer (MODIS) monthly data. …”
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Land use variation impacts on trace elements in the tissues and health risks of a commercial fish by N.D. Takarina, O.M. Chuan, T.G. Pin, I. Femnisya, A. Fathinah, A.N.B. Ramadhan, R. Hermawan, A. Adiwibowo

“…This study combined remote sensing and Geographic Information System analysis with heavy metal analysis using inductively coupled plasma and studied heavy metals, including cadmium, copper, and zinc, in fish tissues such as the gill, digestive tract, and muscle. …”
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