Estimation of soil organic carbon content and dynamics in Mediterranean climate regions considering long-term monthly climatic conditions by Lei Shen, Wei Zhang, Duanqiang Zhai, Shuo Han, Shuang Tian

Get full text

Sea surface temperature retrieval from MSG/SEVIRI data in the Baltic Sea area by Monika Woźniak, Adam Krężel

“…The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7x7 km. …”
Get full text

ANALISIS PROSES BERPIKIR KOMPUTASI SISWA PADA MATERI BARISAN ARITMETIKA BERDASARKAN KECERDASAN MAJEMUK by Rosevita Melati, Toto Nusantara, Mochammad Hafiizh

“…The analysis results revealed that the computational thinking process of the three student groups began with dissecting the problem. Visual-spatial intelligence students excelled at pattern detection throughout the algorithmic thinking level. …”
Get full text

Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…Then, two advanced ensemble learning algorithms (XGBoost and LightGBM) were applied alongside two traditional algorithms (logistic regression and random forest) to construct landslide and collapse susceptibility assessment models for Wenchuan County. …”
Get full text

AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

“…The proposed system offers real-time alerts and forecasts, facilitating proactive water resource management, agricultural planning, and disaster preparedness. Moreover, the research conducts a comparative evaluation of various machine learning models to identify the most effective algorithms for different climatic zones and crop types. …”
Get full text

Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

Get full text

Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

Get full text

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…Temporal optimization strategies consider factors such as crop phenology, spatial resolution, and budget constraints, offering effective and continuous monitoring solutions. …”
Get full text

Development of a Weighted Average Ensemble Model for Predicting Officially Assessed Land Prices Using Grid Map Data and SHAP by Surin Im, Kangmin Kim, Geunhee Lee, Hoi-Jeong Lim

“…By employing fine-scale spatial data and enhancing model interpretability through SHAP, this research presents a robust empirical framework that addresses the limitations of traditional administrative-bound analyses. …”
Get full text

Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…Second, there are complex spatial and temporal features in industrial sensor data. …”
Get full text

19 Predicting daily PM2.5 in Mexico City: A hybrid spatiotemporal modeling approach by Mike He, Ellen Ren, Iván Gutiérrez-Avila, Itai Kloog

“…The predicted PM2.5 concentrations can further advance public health research on air pollution in Mexico City and beyond.…”
Get full text

Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning by Max Anjos, Fred Meier

“…However, their application to quantifying greenhouse gas emissions in cities remains under-researched. Here, we introduce a ML-based bottom-up framework to predict hourly CO2 emissions from vehicular traffic at fine spatial resolution (30 × 30 m). …”
Get full text

Correction of TRMM 3B43 Monthly Precipitation Data Using Quantile Regression Model in the Urmia Lake Basin by Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoobzadeh, khadijeh Javan

“…Remote sensing, such as the TRMM 3B43, can provide a more accurate spatial distribution of rainfall, particularly in regions that lack rain gauge stations. …”
Get full text

Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection by J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Verónica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz

“…A novel framework named Spatio-Temporal Cluster-Optimized Feature Selection (STCO-FS) is proposed to identify key immediate (short-term) HW drivers by combining clustering algorithms with an ensemble evolutionary algorithm. …”
Get full text

Global Rice Paddy Inventory (GRPI): A High‐Resolution Inventory of Methane Emissions From Rice Agriculture Based on Landsat Satellite Inundation Data by Zichong Chen, Haipeng Lin, Nicholas Balasus, Andy Hardy, James D. East, Yuzhong Zhang, Benjamin R. K. Runkle, Sarah E. Hancock, Charles A. Taylor, Xinming Du, Bjoern Ole Sander, Daniel J. Jacob

Get full text

Evaluation of Sea Ice Motion Estimates from Enhanced Resolution Passive Microwave Brightness Temperatures by Walter N. Meier, J. Scott Stewart

Get full text

Surface water quality prediction based on BOA-BiLSTM model(基于BOA-BiLSTM模型的地表水水质预测) by 章佩丽(ZHANG Peili), 赵文雅(ZHAO Wenya), 许旭敏(XU Xumin), 包鑫磊(BAO Xinlei)

“…The temporal and spatial distribution of water quality was discovered through the use of box plots and Spearman's rank correlation. …”
Get full text

From community to science to community, enhancing remote sensing of water quality in Chesapeake Bay tributaries through participatory science by Min-Sun Lee, Maria Tzortziou, Ji-Eun Park, Tong Lin, Patrick Neale, Shelby Brown, Tara Sill, Alison Cawood

Get full text

Seamless Weather Data Integration in Trajectory-Based Operations Utilizing Geospatial Information by Sang-Il Kim, Donghyun Jin, Jiyeon Kim, Do-Seob Ahn, Kyung-Soo Han

Get full text

Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…This necessitates in-depth research and innovation to ensure that human action recognition technology adapts to the diverse communication environments of the future. …”
Get full text