Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (11): 2093-2111.doi: 10.11821/dlxb201711013

• Remote Sensing and GIS • Previous Articles    

Remote sensing: Observations to data products

Bingfang WU(), Miao ZHANG   

  1. Key Laboratory of Digital Earth Science and State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2017-01-10 Revised:2017-08-23 Online:2017-11-20 Published:2017-11-16
  • Supported by:
    National Key R&D Program of China, No.2016YFA 0600304


This article takes remote sensing as one of measurements. The paper overviews the general methodology from remote sensing observations to data products, and categorizes the existing methods into two types: target recognition and parameter retrieval together with their features, advantages and shortcomings. Even after 50 years of continuous research, we are still lack of consistent and scientific methodology to produce data products from remote sensing observations. In the future, in order to build up scientific and structured remote sensing methods for data products, the priority should be given to further development of multi-angle, multi-temporal, multi-spectral, and multi-source as well as both active and passive remote sensing observations, so as to develop new remote sensing indices, which have obvious ecological, geographic, agronomic meanings, to promote the normalization and standardization of remote sensing methods, and to generate synthetic products based on all available remote sensing observations instead of single remote sensing observations. Big data and cloud computing will provide support for the process from remote sensing observations to data products.

Key words: remote sensing observations, remote sensing data products, target recognition, parameter retrieval, empirical/semi-empirical algorithm, physical model