Operational Remote Sensing Methods for Agricultural Statistics

  • Institute of Remote Sensing Application, Beijing 100101

Received date: 1999-11-09

  Revised date: 1999-12-15

  Online published: 2000-01-15

Supported by

key ninth-five-plan project of China Academy of Sciences,No.KZ951-A1-302-02 and KZ95T-03-02


Crop production statistics are of vital importance to a country such as China where the agricultural production is highly susceptible to the vagaries of monsoon and the 75% population is farming activities related. The NOAA AVHRR data are used to monitor the crop growth over the entire country at decade period during growing season from March to October. The acreage under crops are estimated through estimating crop proportions to farming land from remotely sensed data, including TM and Radarsat data, with support from intensive ground surveys. The ground surveys are served both as a ground truth for classification of remotely sensed data and as reference data of accuracy testing. The agrometeorological models are used for yield estimation on every homogenous yield level zone.

Key words: Crop; Estimation; Acreage; Yield

Cite this article

WU Bing fang . Operational Remote Sensing Methods for Agricultural Statistics[J]. Acta Geographica Sinica, 2000 , 55(1) : 25 -35 . DOI: 10.11821/xb200001003