operational agriculture monitoring system using remote sensing
Post on 07-May-2015
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Operational Agriculture Monitoring System Using Remote Sensing
Maryam Adel Saharkhiz
Outline
Introduction on Using Remote Sensing in
Agriculture
Application of RS in Vegetation
Application of RS in Soil
Application of RS in Forest
Application of RS in Land Cover
Introduction on Using Remote Sensing in Agriculture
Agricultural applications of Remote Sensing
(Land Cover)
LandCover of CANADA
(Forestry)
Laser data from a forest
(Soil)
A mineral map derived from AVIRIS data
(Vegetation)
Color-IR image from
the ASTER sensor
shows "green vegetation"
Vegetation
Crop area estimation Crop growth monitoring Crop yield prediction
Crop Monitoring
Damage Assessment
Crop Condition Assessment
Crop Type Identification and Mapping
Crop Type Identification and Mapping Background
forecasting grain supplies (yield prediction),
collecting crop production statistics,
facilitating crop rotation records,
mapping soil productivity,
identification of factors influencing crop stress,
assessment of crop damage due to storms and drought,
monitoring farming activity.
Why Remote sensing?
providing a synoptic view
provide structure information about the health of the vegetation
Different spectral reflection in various field and situation like:
phenology (growth)stage type, crop health,
Radar is sensitive to the structure, alignment, and moisture content of the crop
Data Requirements
Multitemporal imagery (frequent repeat imaging throughout the growing season)
Multisensor data: (VIR, RADAR)
High Resolution Data
Ancillary Data
Crop Monitoring
Crop area estimation Crop growth monitoring Crop yield prediction
Crop Monitoring & Damage Assessment
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
Methodology of the crop area estimation
key words:
.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
Satellite image distribution for winter wheat monitoringWinter wheat area estimate Using remote sensing
Crop area estimate
Crop area estimateChange between 2 years on the satellite image
2005年
2006年
MethodologyNormalized Differential Vegetation Index (NDVI)
will be used as the indicator of crop growth. At present, the crop growth monitoring is carried
out using the difference of NDVI between this two 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 Growth Monitoring
Once every 15 days
Growth condition of winter wheat
Growth condition of corn
Crop Yield Estimation & 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.
Background
Why remote sensing?
With the development of satellites, remote sensing images provide access to spatial information at global scale; of features and phenomena on earth on an almost real-time basis. They have the potential not only in identifying crop classes but also of estimating crop yield they can identify and provide information on spatial variability and permit more efficiency in field scouting. Remote sensing could therefore be used for crop growth monitoring and yield estimation.
Crop Damage Monitoring & Assessment
Background
moisture deficiencies, insects, fungal and weed infestations must be detected early enough to provide an opportunity for the farmer to mitigate.
Why remote sensing?
Infrared wavelengths crop can detect vigor as well as crop stress and crop damage RS gives required spatial overview of the land
RS can aid in identifying crops affected by conditions that are too dry or wet, affected by insect, weed or fungal infestations or weather related damage.
Images can be obtained throughout the growing season to not only detect problems, but also to monitor the success of the treatment.
Crop 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, national field monitoring network need to be assigned systematically in the agricultural region of Malaysia.
Soil moisture, crop growth data, yield data will be measured in the field.
This information coming from the field monitoring network counties can provide support and validation for the remote sensing monitoring system.
An Example of Distribution of Regional Centers in China
Distribution of the Regional Centers
Distribution of the Field Monitoring Counties
Example of Distribution of Field Monitoring Counties in china
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.
Thanks for your kind attention
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