Crop land identification Crop Identification€¦ · Ground truth data collection for crop types. 3rd Sen2Agri User Workshop -Rome, 28-29 June 2017 Crop classification results

3rd Sen2Agri User Workshop - Rome, 28-29 June 2017

Urs Schulthess, Ivan Ortiz-Monasterio,Mustafa Kamal, Imrana Jahan Khan, Saiful

Azim, Khairul Islam and Jesus Mendoza

� Crop land identification

� Crop Identification

� Large Fields (5 – 10 ha) in Mexico

� Small fields (0.05 – 0.1) ha in Bangladesh

� Estimation of biophysical parameters: LAI and NDVI

� Use cases: Wheat blast monitoring, Irrigation and N

management

Bangladesh and Mexico


Yaqui Valley, Mexico: Site features


Yaqui Valley, MexicoS2 acquisitions

1/12 clear

Ciudad Obregon, Mexico

1/22 No acquisition

2/11 clear

3/3 No acquisition

3/13 clear

3/23 No acquistion

4/2 clear

4/12 No acquisition

2/21 clear

2/1 clear

1/2 clear

4/22 some haze


Ground truth data collection for crop types


Crop classification resultsYaqui Valley, Mexico (Winter 2016-17)

Crop # of fields Precision Recall F-Score

Wheat 354 0.93 0.99 0.96

Maize 88 0.83 0.81 0.82

Potato 14 0.74 0.88 0.81

Beans 33 0.87 0.45 0.60

Alfalfa 29 0.87 0.57 0.69

Other 40 0.72 0.41 0.52

Saflower 35 0.44 0.55 0.49

Total 593

Kappa 0.76

Accuracy 0.87

Average field size: 22.97 ha


EO and in-situ datasetBangladesh


Sentinel 2 Image acquisitions for 2 tiles in Bangladesh

1/25 clear

Chuadanga S2 Tile 45QXG

2/4 hazy

2/24 clear

3/16 clear

3/26 No acquisition

1/5 No acquisition

4/5 Cloudy

4/15 No acquistion

4/25 clear

3/6 No acquisition

2/14 No acquisition

1/15 clear

2/1 clear

Barisal S2 Tile 46QBL

2/11 little hazy

3/3 clear

1/2 clear

3/23 Mostly clear

4/12 Mostly clear

4/2 No acquisition

2/22 No acquisition

1/12 No acquisition

1/22 No acquisition

4/22 No acquisition

No acquisition


Bangladesh: Chuadanga region High resolution


Bangladesh: Chuadanga region Sentinel 2 – false color (10 m)


Chuadanga LAI measurements


Chuadanga LAI measurements

y = 0,2192x + 0,208

R² = 0,7372

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,1 0,6 1,1 1,6 2,1 2,6 3,1

LAI_

Se

nti

ne

l

LAI_Field

Chuadanga_20170128 & 29


EO and in-situ dataset: Bangladesh Chuadanga


Bangladesh: Chuadanga region


Crop classification results Chuadanga, Bangladesh (Winter 2016/17)


Maize 319 0.94 0.83 0.88

Rice 64 0.99 0.93 0.96

Tobacco 8 0.95 0.95 0.95

Wheat 47 0.54 1.00 0.70

Total 438

Kappa 0.83

Accuracy 0.89



EO and in-situ dataset Bangladesh Barisal


Crop classification results Barisal, Bangladesh (Winter 2016/17)


Vegetable 8 0.00 0.00 0.00

Maize 9 0.00 0.00 0.00

Rice 27 1.00 1.00 1.00

Chickpea 19 0.50 0.13 0.21

Lentil 38 0.84 0.88 0.86

Wheat 9 1.00 0.45 0.62

Lathyrus 18 0.00 0.00 0.00

Mungbean 26 0.24 0.58 0.34

Fallow 58 1.00 1.00 1.00

Total 212

Kappa 0.80

Accuracy 0.99



• Irrigation scheduling

• Wheat blast monitoring

• Technology targeting

• Impact monitoring (Change over time)

– Productivity

– Area

Use case


• Did you have the opportunity to operate the Sen2Agri system?

• What is your experience?

– It works well – a robust system

– Technical support has been excellent – many thanks!

• What are your recommendations for the future for the system?

– Hosting in the cloud

– Better monitoring of the processing system

• What are your recommendations for the future for the Sen2Agri products?

– Change maps (across years)

Feedback on system, products and recommendations


Thank you!

Documents

Crop land identification Crop Identification€¦ · Ground truth data collection for crop types. 3rd Sen2Agri User Workshop -Rome, 28-29 June 2017 Crop classification results