Crop growth and crop condition monitoring. â every ten days. ⢠Drought monitoring of the entire China. â every ten days .... the system from our website by free.
China Crop Watch System with Remote Sensing
Wu Bingfang, Li Qiangzi IRSA, Chinese Academy of Sciences
China CropWatch System • Established in 1998 and Operated since then • Improved by operating
System Structure
Monitoring Contents and Frequency • Crop growth and crop condition monitoring – every ten days
• Drought monitoring of the entire China – every ten days
• Agro-meteorological condition analysis of China – every month
• Crop area estimation and yield prediction for wheat, rice, maize, soybean – month
• Crop Proportion Monitoring – year
• Cropping Index Monitoring – year
China Crop Watch Bulletin
Clients • • • • • • • • • •
State Council Ministry of Agriculture State Grain Administration State Development and Reform Commission Office of State Flood Control and Drought Relief Headquarters National Bureau of Statistics of China National Disaster Reduction Center of China Grain Trading companies Local governments ...
Crop growing condition monitoring • Instant crop growth monitoring get the crop growing status for certain period by comparing the remote sensed data (NDVI, for example) of the period with the data of the period in the history (last year, mostly) , indicating the spatial difference of crop condition at a certain period
• Crop growing process monitoring Time series of NDVI image during the crop season are used and crop growth profiles are formed by getting statistical average of NDVI, LAI or NPP in a certain region such as a province or a country. The contrast of crop growing profiles between year and year before can reflect the crop growing continuance during crop growing season, indicating the crop condition through the crop growing season.
Crop growing condition monitoring system Analysis
DroughtWatch
Data processing
DroughtIndex
DroughtGrade
Statictics
DroughtIndex Suitability Analysis
T for TCI，V for VCI，H for VHI
Operation at Information center, Ministry of Water Resources Distribution on internet, accessed by MWR
Crops Planting Proporation (R1) Crop planting proportion estimation—validation Crop proportion accuracy assessment for the two test area
Items Planting area with Landsat TM Arable land from landuse map (1: 100000) Planting proportion from Landsat TM Planting area with I KONOS/ Qui ckbi r d Arable land from IKONOS/Quickbird Planting proportion from I KONOS/ Qui ckbi r d Error
Crop Type Proportion (R2) Estimation Transect sampling A two stage sampling
SSU：Belt/Line Transect PSU：4KM * 4 KM
Crop type proportion (R2) Estimation GVG field sampling system
GPS GIS
VIDEO For acquiring the real-time crop types proportion
Crop type proportion (R2) Estimation Accuracy assessment- Dehui site
Type
2000 GVG（%）
Paddy
53.3
Corn
20.9
14.6
6.3
20.1
15.3
4.8
other crops
5.2
3.7
1.5
5.7
3.7
2
village
11.2
9.5
1.7
10.4
10.5
-0.1
urban area
7
8.9
-1.9
3.7
1.9
1.8
grassland
1.7
1.1
0.6
2.6
2
0.6
idle land
0.7
1.1
-0.4
0.7
2
-1.3
othe total
Distributing plot of sample points and Landuse map
2001
Landuse（%） 56.5
Error（%）
GVG（%）
Error（%）
56.8
Landuse（%） 53.8
-3.2
4.6 100
100
10.8 100
100
Validation results of Dehui site
3
Crop type proportion (R2) Estimation Accuracy assessment-Taigu
Crops
GVG( %)
Field mapping ( %)
Error( %)
Crops GVG( %)
Field mapping ( %)
Error( %)
Corn Vegetable Soya Bean Idle land Durra Sun flower
31. 24 20. 61 19. 86 4. 24 3. 28
30. 24 19. 29 19. 29 4. 14 3. 11
3. 31 6. 84 2. 95 2. 42 5. 47
谷物 红薯 南瓜 大棚 花生
0. 98 0. 95 0. 57 0. 44 0. 32
0. 65 0. 86 0. 65 0. 62 0. 42
50. 77 10. 47 - 12. 31 - 29. 03 - 23. 81
2. 11
1. 86
13. 44
菊花 0. 32
0. 14
128. 57
Crop yield monitoring Prediction Models 1）Agro-meteorological Model
Y = Yt + Yw + △y 2） Remote Sensing Model Y = Yt + Yndvi Yndvi= a + bX+cX2
3） Hybrid Model Y = a + b*RS + c*AGRO
Crop yield monitoring-system
Crop yield monitoring Crop yield results analysis and validation Comparison between field measures and prediction yield
Count y
For ecast ed For ecast ed For ecast ed Tr end Yi el d Fl uct uat e Yi el d Yi el d i n 2005 i n 2005 i n 2005 ( y)
Obser ved Yi el d i n 2005 ( y)
Rel at i ve Er r or ( △ y/ Y)
Quf u
387. 479
6. 33575
393. 815
422. 542
- 6. 80%
Yanzhou
443. 926
- 2. 69289
441. 234
419. 351
5. 22%
Zhouchen
354. 075
56. 3438
410. 419
459. 866
- 10. 75%
Ji ni ng
404. 59
17. 8112
422. 4019
404. 706
4. 37%
Updates of CCWS recently
Update of CCWS from recently 1.Provincial system development
Update of CCWS from recently 1. Provincial system development • The system is developed on IDL 6.2 platform • The database we used Microsoft access. Which is very cheaper and easy to learn. • The system can run on one computer or internal network. • The system will released by the end of the next month, every province can download the system from our website by free. (http://www.cropwatch.com.cn)
CCWS in Key Period 1. Provincial system development Data need by the system was processed by CCWS and released on our website and province users can download free Users can also process the data by themselves, but they need some technical skills.
CCWS in Key Period 2. Uncertainty analysis of crop acreage and crop yield estimation The results have not available totally, and we would not release the figures.
