Experience and Achievement of Remote Sensing Applications in Agriculture Tang Huajun Institute of Agricultural Resources and Regional Planning CAAS, China.

Experience and Achievement of Remote Se

nsing Applications in Agriculture

Tang HuajunInstitute of Agricultural Resources and Regional Planning

CAAS, China

Remote Sensing in Agriculture

Crop Monitoring

Agricultural Land Use Changes

Disasters Monitoring and

Management

Crop Monitoring

1.6 billion(2030)Enough food of

1.3 billion people is the top priority of Chinese agriculture development

Food Crop Cultivation

38.9

22.6 22.5

16

0

5

10

15

20

25

30

35

40

ri ce wheat mai ze others

%

Distribution of main crops

Winter Wheat

Maize

Annual Variation of Production and Consumption

- 15. 00

-10. 00

-5. 00

0. 00

5. 00

10. 00

15. 00

年份

％

产量增长率（％）消费增长率（％）

Decide Crop MonitoringSample Area

Select Remote SensingImages

Set up InterpretCriteria

Interpret Crop AcreageChange

Accuracy Control

Crop Acreage Change & ResultStatistics

Scaling-up Model

1:250000 Land Use Map

1:100000 or 1:50000Contour Map

…………

Background Database

GeographicalInformation System

The Yield inSampleArea

Crop Acreage And Yield Change

Decide Sample Area for YieldEstimation

Growth Monitoring

Drought Monitoring

Accuracy Control

Unit Yield Estimation Model

Accuracy Control

Crop Monitoring: Implementing Organizations

Decide Crop MonitoringSample Area

Select Remote SensingImages

Set up InterpretCriteria

Interpret Crop AcreageChange

Accuracy Control

Crop Acreage Change & ResultStatistics

Scaling-up Model

1:250000 Land Use Map

1:100000 or 1:50000Contour Map

…………

Background Database

GeographicalInformation System

The Yield inSampleArea

Crop Acreage And Yield Change

Decide Sample Area for YieldEstimation

Growth Monitoring

Drought Monitoring

Accuracy Control

Unit Yield Estimation Model

Accuracy Control

Regionalization (Left) and Stratification (Right) for Winter Wheat Monitoring (stratification sampling in

the crop acreage monitoring)

Remotely-sensed Imagery Sampled for Winter Wheat Monitoring

2003年， RGB:432 2004年， RGB:432

山东省淄博市

麦地桑树、果树

麦地棉花或蔬菜用地

2003年， RGB:432 2004年， RGB:432

山东省邹平县

麦地城镇用地、休闲地

The Quadrats for Winter Wheat

The Transects for Winter Wheat

40*40平方公里工作区SPOT卫星轨道中心点主要城市1*1平方公里监测样区

Auxiliary DatabaseLand use

Meteorological dataSocial-economical statistics

Remotely-sensed imageryNOAA-AVHRRTerra-MODIS

Maximum ValueComposite (MVC)

GeometricCorrection

AtmosphericCorrection

Vegetation IndexCalculation

Daily VI of CropCloud-free 10-day

MVC VI ImageTime Series

Growth MonitorEvaluator

ClassificationCriteria

Relative GrowthStatus in

Comparison withPrevious Year

Cropland Map

Calculation ofDifference

between 2 years @same season

Crop Growth Monitoring Output

MapReports

Crop Yied Dataset (County-level)

Meteorological Data Growth/DroughtMonitoring data & NDVI

Yield Prediction Models for Sampled Counties

Growth/Drought Correction Models

Accuracy>95%

Crop Yield Prediction Models(Parameter Optimized)

Yield Estimation for each county

Yield Prediction at Country or Provincial Scales

Observed Crop Yield

New Meteorological Data, NDVI

Yes

No

Yield Prediction Model Structure

The basic idea is the stepwise regression method to set up crop yield estimation models. Firstly, based on the statistical data of crop production, meteorological data, and remotely-sensed NDVI data, set up the yield prediction model clusters for sampled counties.

Agricultural Land Use Changes

Arable Land Distribution

Arable Land Increase or Decrease of the Different Regions (1990-2000, in 1000 hectare)

0

200

400

east central west

i ncreasedecrease

耕地所占比重

ARABLE LAND DISTRIBUTION

耕地锐减地区耕地减少地区耕地平衡地区耕地增加地区

我国耕地复种指数的分布

CII

我国粮食单产的分布

Impact of Land Use Change on Grain Production

Impact on Grain Production

net decraes 180.47 M mu

(15 mu = 1 ha)

average 9.02 M mu / year

total decrease production

439.83 MT

Disasters Monitoring and

Management

52.561.6

121.5

85.499.3

187.6 186.3

288.2

197.5

307.2

202.6

253

199.3217

1989 1991 1993 1995 1997 1999 2001

NATURAL DISASTERS IN CHINA4-8%GNP

Direct damage caused by natural disasters in China from 1989 to 2002 (unit: 1 billion RMB yuan)

• 1/3 world agricultural land: arid and semi-arid regions

• year of 206 to 1949: 1086 times severe drought

• year of 1950 to 2003: 26 times severe drought

• 25 % of total arable land affected by severe drought/year

• 33 million kg grain loss/year

• drought loss: 57 %

Drought: occurs more frequently, lasts

longer & affects larger area

• 1954 Flood of Yangtze River

Floods: caused direct economic loss

• 1998 Floods of Yangtze River

On the average, about 9 million hectares of farmland are affected annually by floods in the past five decades.

Direct economic loss: >12 b $

Direct economic loss: about 18 b $

• 1991 Flood of Huaihe River Direct economic loss: 4 b $

DISCUSSION AND CONCLUSION

Accurate estimates and quick forecasts early

Data acquisition (satellite, weather

parameters, social economic statistics

and field observations) and multi-data sources

Cooperation and information sharing

Thank You