Argentina-San Antonio de Areco

Overview

Centered in San Antonio de Areco (Buenos Aires, Argentina), a small area (20 x 20 Km) was selected where high frequency crop and environmental monitoring is being performed. An extended area (70 x 70 Km) is being surveyed with lower frequency for crop mapping and identification of phenological events.

  1. Crop identification and Crop Area Estimation: Crop identification. We are testing several classification methods using optical images and RADAR images and its combination. During last campaign we continued obtaining data from the original JECAM/ SIGMA area as well as over a minimum dataset (MDS) area of 20 x 20 km with higher density collection. This small area matches with RADARSAT-2 Fine Quad Pol acquisitions during this campaign that we are collecting for the SAR intercomparrison experiment. We developed an intercomparisson of methodologies for cropland identification together with other JECAM/ SIGMA sites (China, Russiz, Ukraine, Brazil, and Belgium). We are moving from local to regional estimation of crop land and crop type. We are testing different sampling methodologies and different data sources together with other JECAM sites.
  2. Crop Rotations: Crop rotations in the last 6 campaigns are described and analized. We expect to write a manuscript during 2017.
  3. Soil Moisture: Analysis of its effects on RADAR signal.
  4. Yield Prediction and Forecasting: We are working in an intercomparisson study for yield estimation at coutry level with SIGMA/ JECAM partners from Russia, China, Ukraine, and Africa leaded by Alterra (Wageningen, The Netherlands). We are also working in the estimation of biophysical parameters at field level using optical and RADAR images.

Project Objectives

Mapping Agricultural Areas

Operational Implementation Plan

Crop identification. We are testing several classification methods using optical images and RADAR images and its combination. During last campaign we continued obtaining data from the original JECAM/ SIGMA area as well as over a minimum dataset (MDS) area of 20 x 20 km with higher density collection. This small area matches with RADARSAT-2 Fine Quad Pol acquisitions during this campaign that we are collecting for the SAR inter-comparison experiment. We developed an inter-comparison of methodologies for cropland identification together with other JECAM/ SIGMA sites (China, Russia, Ukraine, Brazil, and Belgium). We are moving from local to regional estimation of crop land and crop type. We are testing different sampling methodologies and different data sources together with other JECAM sites.

Scale

Forecasting Agricultural Variables

Operational Implementation Plan

Agricultural Variables (large scale)
  • Yield
  • Soil Moisture
  • Crop rotation

Site Description

Landscape TopographyGently slopes (lower than 3%)
Typical Field SizeAverage field size is ca. 20 ha. However plot size is very variable.
Climatic ZoneTemperate, cool
Crop Details

Wheat (Early):
Calendar: June - October

Soybean:
Calendar: November - April
Typical Rotation: Soybean and Maize are mostly planted as one season crop

Maize (Normal):
Calendar: December - April
Typical Rotation: Soybean and Maize are mostly planted as one season crop

Maize (Late):
Calendar: October - March
Typical Rotation: Soybean and Maize are mostly planted as one season crop

Soybean (Late):
Calendar: December - April

Wheat (Late):
Calendar: August - January

Soil Type & Texture

Inorganic:

  • Silt Loam
  • Clay Loam
  • Silty Clay Loam
Soil Drainage Class
  • Well drained
Irrigation Infrastructure
  • No irrigation (precipitation)
Other Site Specifications

Mostly no till agriculture. Main rotation (three years): Maize, Soybean, Wheat/Soybean

Soil classification: Mostly Mollisols

In Situ Observations

Crop Inventory

  • Crop Type(s):
  • Collection Protocol:

    On road surveys were performed at least twice a year to identify winter and summer crops as well as fallows, pastures and grasslands. Surveys are performed over the JECAM/SIGMA area (100×100 Km) and with a higher collection density over MDS area (20×20 Km). Other in situ data sources are being collected in other areas of Argentina to expand the classification methodologies to other areas and get regional maps.

  • Frequency: Biannually

EO Data

Optical Data Requirements

  • Approximate Start Date of Acquisition: 01/07
  • Approximate End Date of Acquisition: 30/06
  • Spatial resolution: Medium resolution (20-60m)
  • temporal_frequency: Biweekly
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 2-5 days
  • Challanges:
  • SAR Data Requirements

  • Approximate Start Date of Acquisition: 01/07
  • Approximate End Date of Acquisition: 30/04
  • Spatial resolution: High resolution (5-20m)
  • temporal_frequency: Biweekly
  • Frequency: XCL
  • Incidence Angle: Medium
  • Polarisation: HH
  • Level of Processing: Level 2
  • Orbit: Any
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 2-5 days
  • Challanges:
  • Passive Microwave Data Requirements

  • Approximate Start Date of Acquisition:
  • Approximate End Date of Acquisition:
  • Spatial resolution:
  • temporal_frequency: Biweekly
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 2-5 days
  • Challanges:
  • Thermal Data Requirements

  • Approximate Start Date of Acquisition:
  • Approximate End Date of Acquisition:
  • Spatial resolution:
  • temporal_frequency: Biweekly
  • Wavelength:IR 3-5µm
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 2-5 days
  • Challanges:
  • Results

    Documents and Files

    Links to paper

    Project Reports

    Study Team

    Team Leader

  • Name: Diego de Abelleyra
  • Affiliation: National Institute of Agriculture Technology (INTA)
  • Affiliation Webpage: http://www.inta.gov.ar/
  • Position:
  • Email: deabelleyra.diego@inta.gob.ar
  • Personal Webpage: https://inta.gob.ar/personas/deabelleyra.diego
  • Phone number:
  • Postal Address: Repetto y de los Reseros s/n, Nuneos Aires 1686, Argentina
  • Other Team Members

  • Name: Santiago Verón
  • Affiliation:
  • Affiliation Webpage:
  • Position:
  • Email: veron@agro.uba.ar
  • Personal Webpage:
  • Role: Co-Lead
  • Name: Carlos di Bella
  • Affiliation:
  • Affiliation Webpage:
  • Position:
  • Email: cdibella@cnia.inta.gov.ar
  • Personal Webpage:
  • Role: Member