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Muhammad Zeeshan Ul Hasnain Hashmi, Qaiser Riaz, Mehdi Hussain and Muhammad Shahzad
The objective of this study was to investigate if the inertial data collected from normal human walk can be used to reveal the underlying terrain types. For this purpose, we recorded the gait patterns of normal human walk on six different terrain types w...
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Yuexue Xu, Shengjia Zhang, Jinyu Li, Haiying Liu and Hongchun Zhu
Accurate landform classification is a crucial component of geomorphology. Although extensive classification efforts have been exerted based on the terrain factor, the scale analysis to describe the macro and micro landform features still needs standard m...
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Marie Balková, Ale? Bajer, Zdenek Patocka and Tomá? Mikita
This research was focused on the study of visual exposure evolution in the locality of the Drátenická skála nature monument (in the Czech Republic) and the surrounding forest complex in terms of history and through modelling for further possible stand de...
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Sadra Karimzadeh, Bakhtiar Feizizadeh and Masashi Matsuoka
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Caitlin J. Tran, Omar E. Mora, Jessica V. Fayne and M. Gabriela Lenzano
Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect early-warning signs and assess thei...
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Azusa Goto, Hideki Nakamura
Pág. 732 - 748
Functional hierarchy of road network classifies individual roads into several levels by taking account of the priority for mobility, access or residential functions, in order to manage traffic efficiently by segregating through traffic from accessing, pa...
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Bin Meng and Na Lu
Controlled flight into terrain (CFIT) is considered a typical accident category of ?low-probability-high consequence?. Human factors play an important role in CFIT accidents in such a complex and high-risk system. This study aims to explore the causal re...
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Xukai Zhang, Xuelian Meng, Chunyan Li, Nan Shang, Jiaze Wang, Yaping Xu, Tao Wu and Cliff Mugnier
Terrestrial Light Detection And Ranging (LiDAR), also referred to as terrestrial laser scanning (TLS), has gained increasing popularity in terms of providing highly detailed micro-topography with millimetric measurement precision and accuracy. However, a...
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Wenfeng Li, Jiao Pan, Wenyi Peng, Yingzhi Li and Chao Li
Garlic (Allium sativum) is an important economic crop in China. In terms of using remote sensing technology to identify it, there is still room for improvement, and the high-precision classification of garlic has become an important issue. However, to th...
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Yeong-Bae Kim, Hyun-Jae Jeong, Shin-Mu Park, Jae Hyuk Lim and Hoon-Hee Lee
In this paper, a method for predicting the landing stability of a lunar lander by a classification map of the landing stability is proposed, considering the soft soil characteristics and the slope angle of the lunar surface. First, the landing stability ...
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Arnold Chi Kedia, Brandi Kapos, Songmei Liao, Jacob Draper, Justin Eddinger, Christopher Updike and Amy E. Frazier
Mapping invasive vegetation species in arid regions is a critical task for managing water resources and understanding threats to ecosystem services. Traditional remote sensing platforms, such as Landsat and MODIS, are ill-suited for distinguishing native...
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Matthew S. O?Banion, Michael J. Olsen, Jeff P. Hollenbeck and William C. Wright
Extensive gaps in terrestrial laser scanning (TLS) point cloud data can primarily be classified into two categories: occlusions and dropouts. These gaps adversely affect derived products such as 3D surface models and digital elevation models (DEMs), requ...
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Todd Buters, David Belton and Adam Cross
Monitoring is a crucial component of ecological recovery projects, yet it can be challenging to achieve at scale and during the formative stages of plant establishment. The monitoring of seeds and seedlings, which represent extremely vulnerable stages in...
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Sowmya Natesan, Costas Armenakis, Guy Benari and Regina Lee
Unmanned aerial vehicles (UAV) are being used for low altitude remote sensing for thematic land classification using visible light and multi-spectral sensors. The objective of this work was to investigate the use of UAV equipped with a compact spectromet...
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Dirk Snyman, Gerhard van Huyssteen, Walter Daelemans
Pág. 12 bladsye
When working in the terrain of text processing, metadata about a particular text plays an important role. Metadata is often generated, using automatic text classification systems which classify a text into one or more predefined classes or categor...
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Jitka Málková, Karel Matejka
This paper evaluates the structure of the landscape and vegetation in an area of 106.4 ha near the quarry by the village Horní Lánov (4 km east of Vrchlabí) situated in a low part of the Giant Mountains. The bedrock (crystalline limestone), rugged terrai...
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Junwei Lang, Zhenjia Zeng, Tengfei Ma and Sailing He
Sudden air pollution accidents (explosions, fires, leaks, etc.) in chemical industry parks may result in great harm to people?s lives, property, and the ecological environment. A gas tracking network can monitor hazardous gas diffusion using traceability...
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Qi Hao, Wenguang Zheng and Yingyuan Xiao
In recent years, many studies have been carried out to detect clouds on remote sensing images. Due to the complex terrain, the variety of clouds, the density, and content of clouds are various, and the current model has difficulty accurately detecting th...
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Jan Kopp, Jindrich Frajer, Marie Novotná, Jirí Preis and Martin Dolej?
Standardized delimiting of local climate zones (LCZ) will be better applicable to the urban adaptation to climate change when the ecohydrological properties of LCZ units are known. Therefore, the properties of LCZ units based on the methodology of ecohyd...
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Annan Yang, Chunmei Wang, Guowei Pang, Yongqing Long, Lei Wang, Richard M. Cruse and Qinke Yang
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)?s efficiency and interpretability remains a challenge, especially in complex terrain areas. In this study, a WoE-M...
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