Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1999, Vol. 11 Issue (2) : 60-62     DOI: 10.6046/gtzyyg.1999.02.11
New Methods and Technologies |
A NEW TECHNIQUE OF MAKING REMOTE SENSING PICTURE
Li Jinlai, Lai Jisheng
Center for Remote Sensing in Geology, Beijing 100083
Download: PDF(176 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

This paper introduces a new technique of making remote sensing picture, which is the technique of light jet 5000RS, deals with its pinciple and mapping process, analyses the feature of the output pictures and evaluates the application results of this technique.

Keywords Land use      Vector to raster      Accuracy loss      DEM     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZHAO Lei
MENG Shu-Ying
LI Yu
LIU Jian-Xun
ZHANG Bao-Wei
Cite this article:   
ZHAO Lei,MENG Shu-Ying,LI Yu, et al. A NEW TECHNIQUE OF MAKING REMOTE SENSING PICTURE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(2): 60-62.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1999.02.11     OR     https://www.gtzyyg.com/EN/Y1999/V11/I2/60
[1] JIANG Na, CHEN Chao, HAN Haifeng. An optimization method of DEM resolution for land type statistical model of coastal zones[J]. Remote Sensing for Natural Resources, 2022, 34(1): 34-42.
[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] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] WANG Xiaolong, YAN Haowen, ZHOU Liang, ZHANG Liming, DANG Xuewei. Using SVM classify Landsat image to analyze the spatial and temporal characteristics of main urban expansion analysis in Democratic People’s Republic of Korea[J]. Remote Sensing for Land & Resources, 2020, 32(4): 163-171.
[12] 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.
[13] QIN Qiming, CHEN Jin, ZHANG Yongguang, REN Huazhong, WU Zihua, ZHANG Chishan, WU Linsheng, LIU Jianli. A discussion on some frontier directions of quantitative remote sensing[J]. Remote Sensing for Land & Resources, 2020, 32(4): 8-15.
[14] 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.
[15] Kaixuan LIANG, Guifang ZHANG, Haoran ZHANG. A method for extracting alluvial fan based on DEM and remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(2): 138-145.
Viewed
Full text


Abstract

Cited

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