Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1992, Vol. 4 Issue (4) : 53-59     DOI: 10.6046/gtzyyg.1992.04.09
New Instrument |
A NEW SERIES OF AIRBORNE SCANNER AND RELATED TECHNICAL SYSTEMS
Guo Yiping, Xue Yongqi, Shen Mingming, Yang Chunwu, Wang Jianyu
Shanghai Institute of Technical Physics, Chinese Academy of Sciences
Download: PDF(3036 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

This paper presents the new series of airborne scanner and related systems which were developed in the last 5 years. The spectral resolution of the sensors has become higher and the installation of band is more complete and has formed series. The on board electronic devices have made progress on multiple, high speed, large content, automatic operation and flexible function. The ground pre-process facility provides fast reproduction, information transfer, process service and standard products. Afair technical system with complete units from getting data to standard products in multispectral remote sensing has been formed. Some recent applications are also introduced here.

Keywords TM data      Land use      NDVI      Guangzhou city     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZHENG Rong-Bao
ZHUANG Jian-Shun
ZHANG Jin-Qian
SUN Ming
LIN Jun
Cite this article:   
ZHENG Rong-Bao,ZHUANG Jian-Shun,ZHANG Jin-Qian, et al. A NEW SERIES OF AIRBORNE SCANNER AND RELATED TECHNICAL SYSTEMS[J]. REMOTE SENSING FOR LAND & RESOURCES, 1992, 4(4): 53-59.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1992.04.09     OR     https://www.gtzyyg.com/EN/Y1992/V4/I4/53


[1] Guo Yiping, Proc. of the 6 th National Conference on Remote Sensing, 1989, P 22

[2] Shen Mingming et al., Proc. of the 6 th National Conference on Remote Sensing, 1989, P 20

[3] Wang Jianyu, Proe. of the 6 th National Conference on Remote Sensing, 1989, p 13

[4] Shen Mingming and Sun JiXiu, Proc. of the 5 th National ConFerence on Remote Sensing 1988, P 12.

[5] Shen Mingming et al., Proc. of the 8 th Asian Conference on Remote Sensing 1987,E-8-1.

[6] Guo Yiping, Proc. of the 6 tla National Conference on Remote Sensing. 1989, p 110

[7] Ye Anqi, Proc. of the 6 th National Conference on Remote Sensing 1989, p 107.

[8] Wang Jianyu et al., Proc. of the 6 th National Conference on Remote sensing, 1989, P 97.

[9] Xue Yongqi et al., Proc. of the 11 th Asian Conference on Remote Sensing 1990, P-32-1.

[1] SHI Feifei, GAO Xiaohong, XIAO Jianshe, LI Hongda, LI Runxiang, ZHANG Hao. Classification of wolfberry planting areas based on ensemble learning and multi-temporal remote sensing images[J]. Remote Sensing for Natural Resources, 2022, 34(1): 115-126.
[2] WU Linlin, LI Xiaoyan, MAO Dehua, WANG Zongming. Urban land use classification based on remote sensing and multi-source geographic data[J]. Remote Sensing for Natural Resources, 2022, 34(1): 127-134.
[3] SONG Qi, FENG Chunhui, MA Ziqiang, WANG Nan, JI Wenjun, PENG Jie. Simulation of land use change in oasis of arid areas based on Landsat images from 1990 to 2019[J]. Remote Sensing for Natural Resources, 2022, 34(1): 198-209.
[4] HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[5] WU Jiang, LIU Chun, YING Shen, YU Ting. Spatial delineation methods of urban areas[J]. Remote Sensing for Natural Resources, 2021, 33(4): 89-97.
[6] WANG Qingchuan, XI Yantao, LIU Xinran, ZHOU Wen, XU Xinran. Spatial-temporal response of ecological service value to land use change: A case study of Xuzhou City[J]. Remote Sensing for Natural Resources, 2021, 33(3): 219-228.
[7] LIU Yongmei, FAN Hongjian, GE Xinghua, LIU Jianhong, WANG Lei. Estimation accuracy of fractional vegetation cover based on normalized difference vegetation index and UAV hyperspectral images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 11-17.
[8] SANG Xiao, ZHANG Chengye, LI Jun, ZHU Shoujie, XING Jianghe, WANG Jinyang, WANG Xingjuan, LI Jiayao, YANG Ying. Application of intensity analysis theory in the land use change in Yijin Holo Banner under the background of coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(3): 148-155.
[9] XIAO Dongsheng, LIAN Hong. Population spatialization based on geographically weighted regression model considering spatial stability of parameters[J]. Remote Sensing for Natural Resources, 2021, 33(3): 164-172.
[10] DENG Xiaojin, JING Changqing, GUO Wenzhang, Yan Yujiang, CHEN Chen. Surface albedos of different land use types in the Junggar Basin[J]. Remote Sensing for Natural Resources, 2021, 33(3): 173-183.
[11] SONG Qi, FENG Chunhui, GAO Qi, WANG Mingyue, WU Jialin, PENG Jie. Change of cultivated land and its driving factors in Alar reclamation area in the past thirty years[J]. Remote Sensing for Land & Resources, 2021, 33(2): 202-212.
[12] HU Suliyang, LI Hui, GU Yansheng, HUANG Xianyu, ZHANG Zhiqi, WANG Yingchun. An analysis of land use changes and driving forces of Dajiuhu wetland in Shennongjia based on high resolution remote sensing images: Constraints from the multi-source and long-term remote sensing information[J]. Remote Sensing for Land & Resources, 2021, 33(1): 221-230.
[13] WANG Dejun, JIANG Qigang, LI Yuanhua, GUAN Haitao, ZHAO Pengfei, XI Jing. Land use classification of farming areas based on time series Sentinel-2A/B data and random forest algorithm[J]. Remote Sensing for Land & Resources, 2020, 32(4): 236-243.
[14] DU Fangzhou, SHI Yuli, SHENG Xia. Research on downscaling of TRMM precipitation products based on deep learning: Exemplified by northeast China[J]. Remote Sensing for Land & Resources, 2020, 32(4): 145-153.
[15] GAO Wenlong, SU Tengfei, ZHANG Shengwei, DU Yinlong, LUO Meng. Classification of objects and LUCC dynamic monitoring in mining area: A case study of Hailiutu watershed[J]. Remote Sensing for Land & Resources, 2020, 32(3): 232-239.
Viewed
Full text


Abstract

Cited

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