Spain – Barrax / Albacete


Crop identification and Crop Area Estimation: Developing methods for crop identification and crop area estimation from HR. 2 maps/ year (winter/summer).
Crop biophysical variables: Estimation of Biophysical variables (LAI, FAPAR, cover fraction). Seasonal monitoring of selected crops (continuous acquisitions). Intensive campaigns (multitemporal) and up-scaling with high resolution imagery.
Mapping biophysical variables from EO data, either from empirical relationship or physically-based methods.

Project Objectives

Estimating Crop Area

Operational Implementation Plan

Field size measurement

Measuring Phenological Events

Phenological Events
  • Seeding
  • Seedling
  • Vegetative Growth
  • Flowering
  • Fruit Development
  • Maturity
  • Harvest

Estimation of Biophysical Variables

Operational Implementation Plan

Biophysical Variables
  • fAPAR (Fraction of Absorbed Photosynthetically Active Radiation)
  • LAI (Leaf Area Index)
  • Biomass
  • LAIeff

Site Description

Landscape Topographyflat morphology and large uniform land?use units
Typical Field Size15 and 100 hectares
Climatic ZoneSubtropics, warm/ mod cool
Major Crops and Calendars

Wheat (Normal):

Garlic (Normal):

Alfalfa (Normal):


Soil Type & Texture


  • Silty Clay Loam
Soil Drainage Class
    Irrigation Infrastructure
      Other Site Details

      In Situ Observations

      Phenological variables

      • Crop Type(s):
      • Collection Protocol:

        Since there are two growing seasons, winter and summer, two sampling were conducted, one on 29th March, 2016 and the other on 12th July, 2016, with 92 and 146 crop type plots identified respectively.

      • Frequency: twice a year

      Biophysical variables

      • Crop Type(s):
      • Collection Protocol:

        In March 2016, biophysical variables (LAI, LAIeff, FAPAR and FCOVER) were measured in 24 Elementary Sampling Units (ESUs) (Fig.3) using digital hemispherical photographs (DHP). Afterwards, the obtained data was processed with the CAN?EYE software to provide LAI, LAIeff, FAPAR and FCOVER. In July, 51 ESUs were sampled (Fig.3), using DHP and including measurements with LAI 2200C plant canopy analizer and Accupar LP80 devices. These devices were used to measure LAIeff: DHP, AccuparLP80-Ceptometer and LAI 2200C, meanwhile LAI was measured by DHP, FAPAR was measured by DHP and AccuparLP80 and FCOVER was estimated by DHP. Figure 4 shows digital hemispheric photographs acquired at Las Tiesas-Barrax site during the field campaign carried out in July, 2016.

      • Frequency:

      EO Data

      Optical Data Requirements

    • Approximate Start Date of Acquisition: 01/02
    • Approximate End Date of Acquisition: 31/10
    • Spatial resolution: Medium resolution (20-60m)High resolution (5-20m)
    • temporal_frequency: Biweekly
    • Level of Expertise: Intermediate
    • Latency of Data Delivery:
    • Challanges:
    • SAR Data Requirements

      Passive Microwave Data Requirements

      Thermal Data Requirements


      Documents and Files

      Links to paper

      Project Reports

      Study Team

      Team Leader

    • Name: Fernando Camacho
    • Affiliation: Earth Observation Laboratory-EOLAB
    • Affiliation Webpage:
    • Position:
    • Email:
    • Personal Webpage:
    • Phone number:
    • Postal Address:
    • Other Team Members