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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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 Sensors and Materials
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Vol. 38 No. 7(1)
Special Issue on Geographic Spatiotemporal Analysis and Social Sensing Technology: Part 5

Guest Editor: Prof. Bogang Yang (Beijing Institute of Surveying and Mapping) and Prof. Xiang Lei Liu (Beijing University of Civil Engineering and Architecture)

Preface


  • The National Platform for Common Geospatial Information Services is a platform organized by the Ministry of Natural Resources, which aims to share open geographic information data and provide geo ... Read More

  • To effectively support urban ecological environment assessment and gross ecosystem product (GEP) calculation, we used Beijing-2 and Beijing-3 satellite remote sensing images with a resolution of ... Read More

  • With the rapid development of autonomous driving technology, the demand for high-quality maps has significantly increased. The accuracy and reliability of high-precision maps are crucial for the ... Read More

  • Large-scale 3D control networks, which are essential for the precise measurement of large scientific facilities, have traditionally relied on empirical models. However, such approaches constrain ... Read More

  • The mango planting industry in China has been developing rapidly, but the spatial distribution information of mango groves has traditionally relied on slow and inefficient manual surveys. Therefo ... Read More

  • In this study, we use surface data (MCD43A3), snow cover data (MOD10A2) provided by the Moderate Resolution Imaging Spectroradiometer, and land cover products of the European Space Agency to anal ... Read More


S&M4529

Research paper

S&M4529
Project Practice and Application of the Beijing Platform for Common Geospatial Information Services
Chuanshi Yang, Qingshe Wang, Ming Dong, Yongxuan Liu, and Sihui Guo
pp. 3701-3712
https://doi.org/10.18494/SAM5256
Published on July 10, 2026
PDF (open access)

S&M4530

Research paper

S&M4530
Intelligent Extraction of Urban Vegetation Information Based on Segment Anything Model and Residual Neural Network Model
Yuan Zhuang, Yi Zhang, Shuang Wu, Haizhuo Sun, Yanfeng Xie, Siyang Yin, and Chunyang Cui
pp. 3713-3720
https://doi.org/10.18494/SAM5284
Published on July 10, 2026
PDF (open access)

S&M4531

Research paper

S&M4531
High-precision Autonomous Driving Map Quality Inspection Indicator System and Evaluation Method
Chengcheng Li, Ming Dong, Hongli Li, Xunwen Yu, Yongxuan Liu, and Chong Zhang
pp. 3721-3736
https://doi.org/10.18494/SAM5297
Published on July 10, 2026
PDF (open access)

S&M4532

Research paper

S&M4532
Optimization of Measurement Station Placement for Large-scale 3D Control Network Based on Collision Model and Simplex Algorithm
Tingting Jin, Keliang Ding, Xuece Miao, and Xinle Zhang
pp. 3737-3746
https://doi.org/10.18494/SAM5351
Published on July 10, 2026
PDF (open access)

S&M4533

Research paper

S&M4533
Suitability of Satellite Images with Different Resolutions for Information Extraction—An Example of Mango Groves
Yin Siyang, Ren Chuanshuai, Zhang Yi, Zhuang Yuan, and Wu Shuang
pp. 3747-3758
https://doi.org/10.18494/SAM5399
Published on July 10, 2026
PDF (open access)

S&M4534

Research paper

S&M4534
Surface Albedo in Different Land Cover Types in Northeast China
Tao Pan, Fu Li, Yucheng Tao, Lijuan Zhang, and Xiaoyan Jiang
pp. 3759-3784
https://doi.org/10.18494/SAM5443
Published on July 10, 2026
PDF (open access)

Cover of this Issue





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