Spain – Barrax / Albacete

Overview

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
  • FCOVER

Site Description

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

Wheat (Normal):

Garlic (Normal):

Alfalfa (Normal):

Maize:

Soil Type & Texture

Inorganic:

  • Silty Clay Loam
Soil Drainage Class
  • Moderately well drained
Irrigation Infrastructure
  • Sprinkler irrigation
  • Center pivot irrigation
Other Site Specifications

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

    Results

    Documents and Files

    Links to paper

    Project Reports

    Study Team

    Team Leader

  • Name: Fernando Camacho
  • Affiliation: Earth Observation Laboratory-EOLAB
  • Affiliation Webpage: https://eolab.es/
  • Position:
  • Email: fernando.camacho@eolab.es
  • Personal Webpage:
  • Phone number:
  • Postal Address:
  • Other Team Members