Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (3) : 182-187     DOI: 10.6046/gtzyyg.2015.03.29
|
Development of the embedded spatial data acquisition system based on smart phones
CAI Guolin, SONG Xudong, ZHANG Aoli, YANG Jun
Department of RS and GIS, Southwest Jiaotong University, Chengdu 610031, China
Download: PDF(5159 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  With the rapid development of the Beidou positioning system, GIS, network communications and smart devices, the embedded mobile GIS based on smart phones would have some remarkable functions, such as a high-precision positioning, field data acquisition, and real-time dynamic data transmission. In this paper, ArcGIS for Android of embedded GIS products, wireless communication technology, GPS technology and mobile computing equipment are combined with each other, and an embedded spatial data acquisition system based on smart phones is developed. This system has many functions, such as GPS positioning, field data collection, coordinate conversion, data pre-processing, data storage and output, and can provide technical support for land, mapping, power and other sectors in terms of rapid access to spatial data.
Keywords normalized difference vegetation index(NDVI)      ground temperature      soil moisture      limestone dissolution rate     
:  TP392  
Issue Date: 23 July 2015
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
CHEN Mengjie
WU Hong
LIU Chao
ZHOU Minyue
LU Dingge
GUO Wei
Cite this article:   
CHEN Mengjie,WU Hong,LIU Chao, et al. Development of the embedded spatial data acquisition system based on smart phones[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 182-187.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.03.29     OR     https://www.gtzyyg.com/EN/Y2015/V27/I3/182
[1] 吴敏,谢忠.基于嵌入式GIS的环境地质调查野外数据采集系统的设计和实现[J].计算机与现代化,2004(3):44-46. Wu M,Xie Z.Design and implementation of field data collection system in environmental geology investigation based on embedded GIS[J].Computer and Modernization,2004(3):44-46.
[2] 陶燕.基于移动GIS的数据采集系统研究与开发[D].广州:中国科学院研究生院,2003. Tao Y.Research and Development of Data Collection System Based on Mobile GIS[D].Guangzhou:Graduate University of Chinese Academy of Sciences,2003.
[3] 李毓.基于嵌入式的手持导航信息系统设计与实现[D].昆明:昆明理工大学,2008. Li Y.Design and Implementation of Handheld Navigation Information System Based on Embedded[D].Kunming:Kunming University of Science and Technology,2008.
[4] 董士伟,孙丹峰,张微微,等.农村土地承包经营地块现场测量方法与应用[J].国土资源遥感,2013,25(4):155-159.doi:10.6046/gtzyyg.2013.04.25. Dong S W,Sun D F,Zhang W W,et al.Field survey method and application of rural land management parcel[J].Remote Sensing for Land and Resources,2013,25(4):155-159.doi:10.6046/gtzyyg.2013.04.25.
[5] 张洁.基于移动GIS的旅游信息系统的设计与实现[J].网友世界,2012(10):8. Zhang J.Design and implementation of tourism information system based on mobile GIS[J].Netfriends,2012(10):8.
[6] 刘丽,夏冰冰,张岳,等.Android城市导游系统的设计与实现[C]//Proceedings of 2010 Asia-Pacific Conference on Information Theory,2010:248-251. Liu L,Xia B B,Zhang Y,et al.Design and implementation of urban guide system based on Android[C]//Proceedings of 2010 Asia-Pacific Conference on Information Theory,2010:248-251.
[7] 金浩军,刘成忠.基于Android平台移动GIS在农业气象服务中的应用研究[J].农业网络信息,2013(2):21-24. Jin H J,Liu C Z.Study of mobile GIS application in the field of agrometeorological services based on Android platform[J].Agriculture Network Information,2013(2):21-24.
[8] Bläsing T,Batyuk L,Schmidt A D,et al.An android application sandbox system for suspicious software detection[C]//2010 5th International Conference on Malicious and Unwanted Software(MALWARE).Nancy,Lorraine:IEEE,2010:55-62.
[9] 周丽芬.基于PDA的嵌入式GIS系统的研究与实现[D].武汉:武汉理工大学,2007. Zhou L F.Research and Realization of Embedded Geographical-Information System based on PDA[D].Wuhan:Wuhan University of Technology,2007.
[10] 朱华统,杨元喜,吕志平.GPS坐标系统的变换[M].北京:测绘出版社,1994. Zhu H T,Yang Y X,Lyu Z P.GPS Coordinate System Transformation[M].Beijing:Surveying and Mapping Press,1994.
[1] GAO Qi, WANG Yuzhen, FENG Chunhui, MA Ziqiang, LIU Weiyang, PENG Jie, JI Yanzhen. Remote sensing inversion of desert soil moisture based on improved spectral indices[J]. Remote Sensing for Natural Resources, 2022, 34(1): 142-150.
[2] AI Lu, SUN Shuyi, LI Shuguang, MA Hongzhang. Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(4): 10-18.
[3] GAO Wenlong, ZHANG Shengwei, LIN Xi, LUO Meng, REN Zhaoyi. The remote sensing-based estimation and spatial-temporal dynamic analysis of SOM in coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(4): 235-242.
[4] SONG Chengyun, HU Guangcheng, WANG Yanli, TANG Chao. Downscaling FY-3B soil moisture based on apparent thermal inertia and temperature vegetation index[J]. Remote Sensing for Land & Resources, 2021, 33(2): 20-26.
[5] YUAN Qianying, MA Caihong, WEN Qi, LI Xuemei. Vegetation cover change and its response to water and heat conditions in the growing season in Liupanshan poverty-stricken area[J]. Remote Sensing for Land & Resources, 2021, 33(2): 220-227.
[6] WANG Jiaxin, SA Chula, MAO Kebiao, MENG Fanhao, LUO Min, WANG Mulan. Temporal and spatial variation of soil moisture in the Mongolian Plateau and its response to climate change[J]. Remote Sensing for Land & Resources, 2021, 33(1): 231-239.
[7] Kai WU, Hong SHU, Lei NIE, Zhenhang JIAO. Error analysis of soil moisture based on Triple Collocation method[J]. Remote Sensing for Land & Resources, 2018, 30(3): 68-75.
[8] Jianhui XU, Yi ZHAO, Minghong XIAO, Kaiwen ZHONG, Huihua RUAN. Relationship of air temperature to NDVI and NDBI in Guangzhou City using spatial autoregressive model[J]. Remote Sensing for Land & Resources, 2018, 30(2): 186-194.
[9] Jun LI, Heng DONG, Xiang WANG, Lin YOU. Reconstructing missing data in soil moisture content derived from remote sensing based on optimum interpolation[J]. Remote Sensing for Land & Resources, 2018, 30(2): 45-52.
[10] Wen ZHANG, Yan REN, Xiaolin MA, Yijie HU. Estimation of soil moisture with drought indices in Huaihe River Basin of East China[J]. Remote Sensing for Land & Resources, 2018, 30(2): 73-79.
[11] ZHAO Feifei, BAO Nisha, WU Lixin, SUN Rui. Retrieving land surface temperature and soil moisture from HJ-1B data: A case study of Yimin open-cast coal mine region in Hulunbeier grassland[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 1-9.
[12] LIANG Shouzhen, SUI Xueyan, YAO Huimin, WANG Meng, HOU Xuehui, CHEN Jinsong, MA Wandong. An analysis of influence of non-photosynthetic vegetation of deciduous broad-leaved forest on canopy FPAR: A method based on layered simulation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 29-36.
[13] LI Wei, CHEN Xiuwan, PENG Xuefeng, XIAO Han. GNSS-R technique for soil moisture estimation: Framework and software implementation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 213-220.
[14] LI Li, WANG Di, PAN Caixia, NIU Huanna. Active microwave scattering models used in soil moisture retrieval[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 1-9.
[15] HU Danjuan, JIANG Jinbao, CHEN Xuhui, LI Jing. Comparison of bared soil moisture inversion models based on improved BP neural network[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 72-77.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech