Post on 27-Mar-2015
transcript
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