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JECAM | Joint Experiment for Crop Assessment and Monitoring

Russia - Tula

Project Overview

1. Winter crop identification early in a season based on MODIS data
2. Monitoring of soil moisture in rooting layer and in ploughed horizon based on MODIS and Hyperion data
3. Winter crop phenological development based on MODIS and Landsat data.
4. Monitoring of soil erosion based on Landsat and Hyperion data.


Project Reports

2017 Site Progress Report

2016 Site Progress Report

2015 Site Progress Report

2014 Site Progress Report

Publications:

  1. Bontemps S., Arias M., Cara C., Dedieu G., Guzzonato E., Hagolle O., Inglada J., Matton N., Morin D., Popescu R., Rabaute T., Savinaud M., Sepulcre G., Valero S., Ahmad I., Bégué A., Bingfang Wu., de Abelleyra D., Diarra A., Dupuy S., French A., Ibrar H., Kussul N., Lebourgeois V., Le Page M., Newby T., Savin I., Veron S., Koetz B., Defourny P. BUILDING A DATA SET OVER 12 GLOBALLY DISTRIBUTED SITES TO SUPPORT THE DEVELOPMENT OF AGRICULTURE MONITORING APPLICATIONS WITH SENTINEL-2 // Remote Sensing. 2015. Т. 7. № 12. С. 16062-16090.
     
  2. Савин И.Ю., Вернюк Ю.И., Исаев В.А. ОПЕРАТИВНЫЙ СПУТНИКОВЫЙ МОНИТОРИНГ ПОСЕВОВ // Вестник Российской академии сельскохозяйственных наук. 2014. № 1. С. 22-23.
     
  3. (Savin I., Verniuk Yu., Isaev V. Operative satellite based crop monitoring // Reports of Russian Academy of Agricultural Sciences. 2014. № 1. pp. 22-23.)
     
  4. Зверев А.Т., Савин И.Ю., Фисенко Е.В. Разработка метода оценки и прогноза повреждения сельскохозяйственных посевов по космическим снимкам // Известия высших учебных заведений. Геодезия и аэрофотосъемка. 2013. № 2. –с.81-84
     
  5. Савин И.Ю., Зверев А.Т., Фисенко Е.В. Космический мониторинг агрофитоценозов // Современные наукоемкие технологии. 2013. № 8-1. – с.14-18
     
  6. Savin I., Prudnikova E., Vasilyeva N., Bairamov A. SEASONAL CHANGES OF TILLED SOIL SURFACE AS INFORMATION FACTOR FOR EFFICIENT SOIL MAPPING USING REMOTE SENSING DATA - in: Digital Soil Maps for Everyone 2016. С. 75.
     
  7. Savin I.Yu., Prudnikova E.Yu., Vasilyeva N.A., Veretelnikova I.V., Bairamov A.N. THE COLOR OF SOILS AS A BASIS FOR PROXIMAL SENSING OF THEIR COMPOSITION // Бюллетень Почвенного института им. В.В. Докучаева (Bulletin of V.V. Dokuchaev Soil Science Institute). 2016. Т. 86. С. 46-52. (In Russian)

Implementation Plans

Plans for Next Growing Season:
Next growing season, will you maintain your current approach, or modify the approach? If you plan to modify, please describe your new approach.
In the season 2017 we plan to continue usage of the same approaches, and we plan to test usage of UAV for field crop data collection.

 

In situ Data:

Crop type. Discrimination among crop types in georeferenced plots (27 plots). Frequency: once per crop season.
Crop status was defined one time per month using hemispherical photo analysis by CanEye software.
Soil moisture content. Measurements in selected georeferenced representative points. Frequency: before crop sowing, in the middle of the season, after crop harvesting (near 30 points).
Crop phenology. Visual determination of phenological states. Frequency: each month during the growing season (near 30 plots).
Soil erosion status (soil humus content). Samples collection in selected georeferenced representative points and analysis of humus content in laboratory. Frequency: once in the year, after the harvest (near 30 samples).


Figure 5. Field Work at the test point


Site Description

Locations

Russia
Site Extent   Centroid: 53.63, 37.23
Top left: 53.67, 37.14 Bottom Right: 53.59, 37.33

Site Description
Location: The site is located in the south of Tula region of Russia (Plavsk district).
Topography: The territory is characterized by slightly undulated plane, dissected by small rivers' valleys.
Soils: The dominant soil is chernozem with silty-clay texture and high humus content. The soil is eroded on slopes.
Drainage class/irrigation: The soil is moderately drained. Irrigation is absent.
Crop calendar: Winter crops are sowing in September. The flowering is at the end of May, harvesting – in July.
Field size: Typical field size is near 100 hectares.
Climate and weather:  The climate is temperate with moderately cold winter (air temperature is near -100C) and warm summer (air temperature is near +250C). Amount of precipitation is near 450 mm per year.
Agricultural methods used: Field visits. Soil and crop samples collection and analysis in the lab.

In Situ Observations:
Crop type. Discrimination among crop types in georeferenced plots. Frequency: once per crop season.
Soil moisture content. Measurements in selected georeferenced representative points. Frequency: before crop sowing, in the middle of the season, after crop harvesting.
Crop phenology. Visual determination of phenological states. Frequency: each month during the growing season.
Crop status. Using LAI and CF modelled based on analysis of nadir photos of crop canopy.
Soil erosion status (soil humus content). Samples collection in selected georeferenced representative points and analysis of humus content in laboratory. Frequency: once in the year, after the harvest.

Photograph(s):


Figure 1. "Fish-eye" photo over the winter wheat (germination phase)


Figure 2. Soil sampling and start of acquisition of UAV image


Figure 3. UAV image of test site in autumn


Specific Project Objectives & Deliverables

We have conducted field visits one time per month from April 2016 up to August 2016.
It has been found that weeds on many fields affect the NDVI and LAI, calculated based on Landsat and MODIS data (Fig.6). The effect of weeds differs from field to field due to crop type and crop development status.


Figure 6. Example of NDVI time profile (MODIS) for test plot with spring barley (1 – zone where NDVI is predefined by barley, 2 – zone of increasing influence of weeds, 3 – zone where NDVI is predefined primarily by weeds)


In Situ Observations

  1. Parameter: Soil moisture content
    Data Collection Protocol:

    Measurements in selected georeferenced representative points

    Frequency: before crop sowing, in the middle of the season, after crop harvesting
  2. Parameter: Crop type
    Data Collection Protocol:

    Discrimination among crop types in georeferenced plots

    Frequency: once per crop season
  3. Parameter: Soil erosion status (soil humus content)
    Data Collection Protocol:

    Samples collection in selected georeferenced representative points and analysis of humus content in laboratory

    Frequency: once in the year, after the harvest
  4. Parameter: Weeds area
    Data Collection Protocol:

    Acquisitions of nadir-viewing images above the crop canopy with digital camera in selected plots. Estimation of proportion of weeds green area using digital image analysis

    Frequency: 2 weeks after sowing, in the middle of the season, before harvesting, 2 weeks after harvesting
  5. Parameter: Crop phenology
    Data Collection Protocol:

    Visual determination of phenological states

    Frequency: each month during the growing season

EO Data Requirements

Approximate Start Date of Acquisition: April 1, After snow cover disappearance.
Approximate End Date of Acquisition: December 1, Before snow cover establishment.
Spatial Resolution: 30 min, 5 preferred
Temporal Frequency: MODIS daily and all available Landsat scenes
Latency of Data Delivery: weekly
Wavelengths Required: B,G,R,NIR
Across Swath: 15 km: Cover entire test site
Along Track: 15 km: Cover entire test site

SAR Data Requirements

Approximate Start Date of Acquisition: April 1
Approximate End Date of Acquisition: December 1
Spatial Resolution: 30 m min, 3 m preferred
Temporal Frequency: 8 times over the season
Latency of Data Delivery: Weekly
Wavelengths Required: X, C, L
Polarization Dual (VV,VH), polarimetric
Incidence Angle Restrictions:
Across Track: 15 km, Entire test site
Along Track: 15 km, Entire test site

Locations

Russia

Centroid
Latitude: 53.63
Longitude: 37.23

Site Extent
Top left
Latitude: 53.67
Longitude: 37.23
Bottom Right
Latitude: 53.59
Longitude: 37.33


Optical Sensors

JECAM | Joint Experiment for Crop Assessment and Monitoring | Group on Earth Observation

©2013 Joint Experiment for Crop Assessment and Monitoring © HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2012)