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Operational Agriculture Monitoring System Using Remote Sensing
Pei Zhiyuan
Center for Remote Sensing Applacation, Ministry of Agriculture, China
Outline
Main content and methodMonitoring network Future development
Main content and method of the monitoring system
Crop Monitoring
Agricultural Resource Monitoring
Agricultural Disaster Monitoring
Crop Monitoring
Crop area estimation
Crop growth monitoring
Crop yield prediction
Satellite image distribution for early rice monitoring
Satellite image distribution for single cropping and late rice monitoring
Rice area estimateUsing remote sensing
Crop area estimate
Satellite image distribution for winter wheat monitoringWinter wheat area estimate Using remote sensing
Crop area estimate
Satellite image distribution for corn monitoring
Corn area estimate Using remote sensing
Crop area estimate
Satellite image distribution for soybean monitoring
soybean area estimate Using remote sensingCrop area estimate
Satellite image distribution for cotton monitoring
Cotton area estimate Using remote sensing
Crop area estimate
Methodology of the crop area estimation
key words:
.Main crop:five mian crops in China (rice,wheat,corn,soybean, cotton), and individual crop is concerned
.National scale:valid for the whole country,for central government
.Sampling system: stratified sampling method, remote sensing for each sample unit
.Extrapolation Model:to derive area estimate at national scale
. Change detection:estimate is based on the analysis of change observed on satellite image
.Ground survey: validation and substitute for remote sensing
Crop area estimateChange between 2 years on the satellite image
Ground sample distribution for late rice monitoring
validationsubstitute
Ground surveyCrop area estimate
2005年
2006年
Crop Growth Monitoring
Once every 15 days
Growth condition of winter wheat
Growth condition of corn
MethodologyNormalized Differential Vegetation Index (NDVI)
is used as the indicator of crop growth. At present, the crop growth monitoring is carried
out using the difference of NDVI between this year and last year of the same time
The differences are graded into different classes which reflect the change in same place in two years.
MODIS, NOAA and FY are mainly used in the crop growth condition monitoring.
Crop Growth Monitoring
Crop Yield Prediction
At present, using several methods to estimate yield at one time is a practical and effective way. The methods include agricultural climate model, remote sensing model, crop growth model, etc. Of course, other ancillary information is essential to get accurate yield results such as crop growth information, soil moisture information and other ground survey data.
Agricultural Resources Monitoring
Cultivated land Area Change the regional cultivated land change monitoring i
s baseded on the comparison of two images in different time. The regions include Northeast China, Beijing-Tianjin-Hebei Region, Huanghuaihai Region, etc.
The data acquired include cultivated land, garden plots, forest land, grassland, water area, unused land, etc.
1993 2003
Agricultural Resources Monitoring
Remote sensing monitoring of grassland Combined with ground survey data, grass
growth monitoring, yield estimation and balance of livestock and pasture in pastoral area and semi-pastoral area were carried out depending on remote sensing.
Distribution of estimated grass yield , 2006
Agricultural Disaster Monitoring
Drought Monitoring (2006.8 Sichuan and Chongqing)
Flood Monitoring)
Field Network Monitoring
In order to improve the accuracy and reliability of remote sensing monitoring system, 100 national field monitoring network counties were assigned systematically in the agricultural region of China.
Soil moisture, crop growth data, yield data were measured in the field.
This information coming from the field monitoring network counties can provide support and validation for the remote sensing monitoring system.
Monitoring network
Center for Remote Sensing Application, MOA
Regional Sub-centers(7)
Field Monitoring Network Counties(100)
Distribution of Regional Centers
Distribution of the Regional Centers
Distribution of the Field Monitoring Counties
Distribution of Field Monitoring Counties
Technology progress with the development of remote sensing
technology, there are more and more commercial satellites.
The spatial, spectrum, and temporal resolutions are improved continuously.
The accuracy and reliability of agricultural remote sensing monitoring operational system will be improved with the application of new technologies.
Future Development Expection
Extension of monitoring system
The first one is the extension of monitoring objects, ie, the oil crop and sugar crop should be monitored based on the monitoring of five main crops and the background investigation of crop planting acreage need to be carried out based on the inter-annual change monitoring;
the second one is the extension of monitoring region, ie, the global main agricultural region need to be monitored based on the domestic monitoring.
Improvement of system The agricultural remote sensing monitoring
system is composed of national center, regional sub-center and field monitoring counties.
In the near future, the operational system will develop further, the structure harmonization and quality control will be strengthened and run ability of operational system will be upgraded comprehensively.
Summary
.The Ministry of Agriculture,China has established an operational agriculture monitoring system at the national scale, based on the integration with remote sensing and ground survey.
. The main contents of the monitoring system include crop monitoring,agricultural resource monitoring,and natural disaster monitoring.
. Remote sensing monitoring plays an importment role in government decision.
Thank you !Pei zhiyuan
Center for Remote Sensing Application, Ministry of Agriculture, China