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Geoinformatics

Empowering rural governance with digital technology: Deep learning models for automated detection of rural buildings using remote sensing images

Jingling Zhong, Youcai Xie, Lixia Li, Chuanlin Shi

HPA-UNet-LSNet: An LSNet-based U-Net with hybrid pooling attention for accurate segmentation of Haloxylon ammodendron crowns from UAV RGB imagery

Dongze Li, Xuefeng Yang, Yingnan Li, Ting Liang

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia

Andualem Addisu Birlie, Nega Abebe Meshesha, [ ... ], Muluken Belachew Mengistie

Spatial distribution and risk assessment of dengue incidence at district level across major climatic zones in India

Meenu Mariya James, Karuppusamy Balasubramani, [ ... ], Sujit Kumar Behera

Geoglyphs and formative-period activity in the middle Chillón Valley, Peru: Ceramic association and null-model tests of route proximity

Christian Mesía-Montenegro, Ángel Sánchez-Borjas

Urban compactness and Land Use Efficiency in Indochina Capitals: A multi-method spatial assessment (2017–2024)

Tran Tuan Nguyen

A scalable variational method for estimating the latent infection-rate field of an outbreak

Wyatt H. Bridgman, Cosmin Safta, Jaideep Ray

RPINet: Dual-branch attention-guided fusion of remote sensing images and point clouds for urban scene segmentation

Zhe Jing, Zhengguo Yan

TransitNet: A lightweight semantic segmentation network for urban traffic scene understanding

Haiyan Zhang, Zining Zhao, Xiang Chu, Yilin Liu

Deep learning–based region merging with adaptive threshold optimization for building segmentation in remote sensing images

Asim Shoaib, Muhammad Waqas Nadeem, [ ... ], Muhammad Adnan Khan

Unsupervised seamless UAV image stitching via dense prediction

Jun Chen, Honghua Tang, [ ... ], Jianhui Li

Monitoring land degradation by soil salinity using Sentinel-2 satellite data and GIS techniques: A case study of Sabkhat Ghuwaymid, Saudi Arabia

Ahmed Alneami, Abdullah Almuthibi, [ ... ], Mohamed Alshafaey

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms

Gustavo Vieira Veloso, Danilo César de Mello, [ ... ], José A. M. Demattê

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