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Rana Muhammad Amir Latif, Jinliao He and Muhammad Umer
An actual cropland extent product with a high spatial resolution with a precision of up to 60 m is believed to be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development of niche, advanc...
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Karima Khettabi, Zineddine Kouahla, Brahim Farou, Hamid Seridi and Mohamed Amine Ferrag
Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this ...
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Liang Gong, Fei Huang, Wei Zhang, Yanming Li and Chengliang Liu
Photosynthesis is one of the key issues for vertical cultivation in plant factories, and efficient natural sunlight utilization requires predicting the light falling on each seedbed in a real-time manner. However, public weather services neither provide ...
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Shiyu Lu, Huamin Yang and Cheng Han
Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges. Recognizing the importance of capturing ...
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Harry Imantho, Kudang Boro Seminar, Wawan Hermawan and Satyanto Krido Saptomo
Obtaining soil water content and soil workability data using remote sensing technology with passive sensors has some limitations due to cloud cover, cloud shadow, haze and smoke. This study proposes a method for computing soil water content and soil work...
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Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
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Jianpo Liu, Hongxu Shi, Ren Wang, Yingtao Si, Dengcheng Wei and Yongxin Wang
The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel fai...
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Shahab Ud Din, Khan Muhammad, Muhammad Fawad Akbar Khan, Shahid Bashir, Muhammad Sajid and Asif Khan
Despite low spatial resolutions, thermal infrared bands (TIRs) are generally more suitable for mineral mapping due to fundamental tones and high penetration in vegetated areas compared to shortwave infrared (SWIR) bands. However, the weak overtone combin...
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Sepehr Honarparvar, Sara Saeedi, Steve Liang and Jeremy Squires
Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detect...
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Anjin Chang, Jinha Jung, Jose Landivar, Juan Landivar, Bryan Barker and Rajib Ghosh
Thanks to sensor developments, unmanned aircraft system (UAS) are the most promising modern technologies used to collect imagery datasets that can be utilized to develop agricultural applications in these days. UAS imagery datasets can grow exponentially...
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