1. JECAM Argentina San Antonio de Areco
Earth Observation Technologies for Crop Monitoring: A Workshop to Promote Collaborations among GEOGLAM/JECAM/Asia-RiCE 2018
Taichung City, Taiwan
17-20 September, 2018
Diego de Abelleyra, Santiago Verón

2. Site Description Purpose of project
Purpose: Evaluation of methodologies for crop type mapping and biophysical parameters estimation from remote sensing
Duration: Since 2010
Location: Rolling Pampas
Topography Gently slope (<3 %)
Soils: Mollisols. High organic matter content
Field size: 20 Ha
Well Drained soils.
Crop
Crop type and variety
Crop calendar
Climate and weather
Temperate
isohygro regime (1000 mm)
Agricultural methods used
Irrigation < 1%.
No till Agriculture

3. Objectives Crop identification and Crop Area Estimation
Yield Prediction and Forecasting
Crop Growth Condition/Stress
Soil Moisture
Crop Residue, Tillage and Crop Cover Mapping
Evaluation of methodologies and new technologies

4. Earth Observation (EO) Data Received/Used
For each Mission/sensor: *
RADARSAT-2
SAR
Number of scenes: 23
Challenges: It was possible to re-schedule acquisitions at critical periods
* In addition to publically available datasets

5. In situ and Field survey Data
On road surveys
Identification of land use in all fields along the roads
paper sheets, tablets, cameras
Field boundaries using GE and S2 images
Original JECAM Area ( )
Expanded Area (2018)
Planned (2018/2019)
Challenges Area expansion:
optimal sample spacing
Stratification

6. SAR related measurements
Experimental Sample Units (ESU)
Ceptometer
Fisheye camera (360) / LAI

7. Collaboration Participation in JECAM intercomparison experiments:
Cropland Classification methods
Spatial sampling methods
Data sources for training of cropland classifications
SAR crop type and biophysical parameters estimation
NASA Project. Crop yield assessment and mapping by a combined use of Landsat-8, Sentinel-2 and Sentinel-1 images. Sergii Skakun
MapBiomas Project ( ). Land Use annual mapping (Cropland – no cropland classes) in Argentina, Brasil and Paraguay.

8. Crop rotation analysis
Results
Crop type map accuracies:
Crop rotation analysis

9. To what extent have the project objectives been met?
Continuous data acquisition over 8 years
4 years Biophysical variables measurements
Acquisition of multiple satellite platforms (continuity and variety)
On going thesis and publications
Can this approach be called ‘best practice’?
Mapping anually crop type, allow mapping of crop rotations, a tool to describe good practices

10. Plans for Next Growing Season
Will you hold the course, or modify the approach?
Maintain / increase measuring intensity and on road sampling area. Expand JECAM sites area?
Funding required (to follow a common data collection protocol among sites)
Do you anticipate using the same type/quantity of EO data next year? Y/N
Multifrequency SAR (SAOCOM, ALOS, X band SAR?)
If no, how have your needs changed?