Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…The PR–MLP module improves feature extraction by capturing spatial contextual information, while the CSBC module enhances boundary prediction through high– and low–level semantic guidance. …”
Get full text

Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023 by Ziqi Ma, Jianbin Huang, Xiangdong Zhang, Yong Luo, Tingfeng Dou, Minghu Ding

Get full text

Improved Resolution and Reduced Clutter in Ultra-Wideband Microwave Imaging Using Cross-Correlated Back Projection: Experimental and Numerical Results by S. Jacobsen, Y. Birkelund

“…Selecting the widely used delay-and-sum (DAS) beamforming algorithm as a benchmark, we show that correlation based imaging methods improve the signal-to-clutter ratio by at least 10 dB and improves spatial resolution through a reduction of the imaged peak full-width half maximum (FWHM) of about 40–50%.…”
Get full text

Reconstructed global monthly burned area maps from 1901 to 2020 by Z. Guo, W. Li, P. Ciais, S. Sitch, G. R. van der Werf, S. P. K. Bowring, A. Bastos, F. Mouillot, J. He, M. Sun, L. Zhu, X. Du, N. Wang, X. Huang

“…The trained models can well reproduce the long-term spatial patterns (slopes <span class="inline-formula">=</span> 0.70–1.28 and <span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">=</span> 0.69–0.98 spatially), inter-annual variability and seasonality of the satellite-based burned area observations. …”
Get full text

The 1.6 Å crystal structure of pyranose dehydrogenase from Agaricus meleagris rationalizes substrate specificity and reveals a flavin intermediate. by Tien Chye Tan, Oliver Spadiut, Thanyaporn Wongnate, Jeerus Sucharitakul, Iris Krondorfer, Christoph Sygmund, Dietmar Haltrich, Pimchai Chaiyen, Clemens K Peterbauer, Christina Divne

“…To evaluate the regioselectivity of D-glucose oxidation, reduction experiments were performed using fluorinated glucose. …”
Get full text

Tracking green space along streets of world cities by Giacomo Falchetta, Ahmed T Hammad

“…Based on our trained and cross-validated non-parametric model, we conduct spatial sampling and prediction in 190 large cities distributed across twenty regions and estimate local to continental GVI trends between 2016–2023. …”
Get full text

Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…Firstly, a Global Information Aggregation Block is introduced to enhance the model’s ability to capture the spatial distribution of cracks by leveraging multiscale pooling and channel expansion strategies, which improve global context awareness while preserving high-resolution details. …”
Get full text

Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression by Qile Ding, Yiren Wang, Yu Zheng, Fengyang Wang, Shudong Zhou, Donghui Pan, Yuchun Xiong, Yi Zhang

“…The results indicate that the proposed model reduces prediction errors and enhances spatial prediction reliability compared to other models. …”
Get full text

SISTEM INFORMASI GEOGRAFIS PEMETAAN SEKOLAH TINGKAT PENDIDIKAN DASAR DAN MENENGAH DI KOTA SERANG by Siti Suryani, Priyo Sidik Sasongko, Edy Suharto

“…The Spatial-based information system is one of the systems that is needed nowadays, because it serves as a foundation in supporting variety of applications in various sectors, one of which is education. …”
Get full text

The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Xueyan Ji, Shamsulariffin Bin Samsudin, Muhammad Zarif Bin Hassan, Noor Hamzani Farizan, Yubin Yuan, Wang Chen

“…With the rapid development of artificial intelligence and deep learning technology, a new opportunity is provided for physical education innovation. This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
Get full text

Analysis on agricultural carbon emissions transfer of inter-provincial trade in China. by Xidong Zhang, Juan Zhang, Wenhao Fu, Ziting Pei, Bin Zhang, Mufan Zhuang

“…Therefore, it is necessary to conduct in-depth research on agricultural carbon transfer for reasonably dividing the responsibility of agricultural carbon reduction in different provinces. In this study, the cross-section data of 31 provincial-level administrative regions in China in 2015, 2018 and 2021 were used to calculate the agricultural carbon emissions of each province from the production side, and the agricultural carbon transfer model was applied to study the spatial transfer characteristics of agricultural carbon emissions. …”
Get full text

Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-Task Interaction by Xuanang Peng, Shixin Wang, Futao Wang, Jinfeng Zhu, Suju Li, Longfei Liu, Zhenqing Wang

“…However, due to factors such as complex semantic categories and the inconsistent spatial scales of remotely sensed images, existing multi-task learning methods often fail to achieve better results on these two tasks. …”
Get full text

Numerical Simulation of Turbopump Inducer Cavitating Behavior by Coutier-Delgosha O., Morel P., Fortes-Patella R., Reboud JL.

“…<p>In the present study a numerical model of 3D cavitating flows is proposed. It is applied to investigate the behavior of a spatial turbopump inducer in noncavitating and cavitating conditions. …”
Get full text

Development of an Augmented Reality-Based Practicum E-Module Integrated with Local Wisdom of Salak Fruit by Heni Mulyani Pohan, Adi Syaputra, Fatma Suryani Harahap, Dinda Yunita, Rabiyatul Adawiyah Siregar, Anouar Ben Mabrouk

“…This innovation contributes to enhancing chemistry education and preserving local wisdom in Padangsidimpuan, offering a model for future educational advancements.…”
Get full text

Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This model, based on the "source-connected faults + bead-string + deep chaotic high-amplitude background", provided a systematic framework for reservoir prediction and target selection. …”
Get full text

A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images by Dawen Yu, Shunping Ji

Get full text

The choice of the number of processing channels in the radiomonitoring equipment on the basis of adaptive multibeam antenna arrays by S. V. Kozlov

Get full text

Dynamics-constrained rainfall projection reveals substantial increase in population exposure to unprecedented floods in the North China Plain by Long Yang, Jinghan Zhang, Fang Zhao, Daniel Wright, Chao Li, Dai Yamazaki, Xuezhi Tan, Miao Yu, Quan J. Wang, Fuqiang Tian

Get full text

Innovative Perspectives on Ecological Assessment in the Agro-Pastoral Ecotone of Inner Mongolia: An Integrated Evaluation and Forecast of Landscape and Ecological Risks and Drivers by Jiaru Wu, Peng Han, Jiwu Zhai, Qing Zhang

“…Future ecological risks from 2025 to 2040 were predicted using the multi-criteria evaluation-cellular automata-Markov model. …”
Get full text

Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

“…The spatial distribution of precipitation is one of the major unknowns in hydrological modeling since meteorological stations do not adequately cover the territory, and their records are often short. …”
Get full text