China Crop Watch System with Remote Sensing

4 downloads 7513 Views 2MB Size Report
Crop growth and crop condition monitoring. – every ten days. • Drought monitoring of the entire China. – 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

Table of Content • Overview of CCWS – – – –

Crop growing condition monitoring Drought monitoring Crop acreage estimation Crop yield monitoring

• Updates of CCWS recently

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

Crop Acreage Estimation Methods Acreage = area_arable * R1 * R2 Where: Acreage area_arable R1 R2

: :

crop acreage area of arable land in a region

: :

planted proportion on arable land percentage of certain crop type on planted arable land

Remote sensing data: planted proportion on arable land Transect line sampling: crop type proportion on planted arable land

Crop acreage Planting structure zoning

Remote sensing data

Cluster sampling

Transect line sampling

Image processing arable acreage

Crop planting proportion (R1)

Field survey Planting proportion of crop species (R2)

Planting acreage of crop species

GVG sampling system

Crop Planting Proportion (R1) Image processing flow for crop proportion extraction correction

backsactter

Radar data

Optical data

Atmosphere correction

Filter and stretching

遥感影像预处理

NDIF Mosaic

Geometric correction SAVI

Non-arable mask

Arable land

Unsupervised

Labeling

classification

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

kaifeng

Taigu

101272 142613 0. 7101 122052 169880 0. 7185 - 0. 43%

25062 28214 0. 8883 23508 27067 0. 8685 2. 28%

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.

Thanks