Ukraine-Kyiv

Overview

Crop identification and acreage estimation: Estimates are required end-of-season. Early in-season estimates for winter crops (winter wheat and rapeseed) are desirable.

Crop biophysical variables (LAI, fCover, biomass). LAI estimates are going to be assimilated into semi-empirical local yield models. It is desirable to have estimates on a weekly basis through the whole growing season.

Yield Prediction and Forecasting

The mapping resolution is 5-10 m for field level estimates and is 30-60 m for regional mapping. The timeliness of the data is with regards to growing season. Field data can be delivered two weeks after acquisitions. Partial data analysis will be done at the end of growing season.

Project Objectives

Mapping Agricultural Areas

Operational Implementation Plan

Scale

The mapping resolution is 5-10 m for field level estimates and is 30-60 m for regional mapping

Land Cover
  • Spatial Resolution:
  • Temporal Resolution:

Estimating Crop Area

Operational Implementation Plan

Field size measurement

Estimation of Biophysical Variables

Operational Implementation Plan

Biophysical Variables
  • LAI (Leaf Area Index)
  • Biomass
  • fCover

Forecasting Agricultural Variables

Operational Implementation Plan

Agricultural Variables (large scale)
  • Yield

Site Description

Landscape TopographyMostly flat with slopes ranging from 0% to 2%. Near 10% of the territory is hilly with slopes about 2-5%.
Typical Field Size30-250 ha.
Climatic ZoneTemperate, cold
Major Crops and Calendars

Winter rapeseed (Normal):
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Winter Wheat (Normal):
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Spring Barley (Normal):
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Maize:
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Soya beans:
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Sunflower:
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Sugar beet:
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Other vegetables:
Typical Rotation: Due to relatively large number of major crops and other factors there is no a typical simple crop rotation in this region. Most producers use different crop rotations depending on specialization.

Soil Type & Texture

Organic:

  • Humic
Soil Drainage Class["Well drained","Moderately well drained","Imperfectly drained","Poorly drained"]
Irrigation Infrastructure["Surface irrigation"]
Other Site Details

The site consists of two parts:

  • the whole Kyiv region (28,000 sq. km) indented for crop mapping and acreage estimation (Fig. 1-a);
  • intensive observation sub-site (25×15 sq. km) indented for crop biophysical parameters estimation (Fig. 1-b). This sub-site consists of research farm of National University of Life and Environmental Sciences of Ukraine (NULESU) where intensive in-situ measurements are being collected.

The latitude and longitude of the site and sub-site are given in Table 1.


Figure 1. JECAM Test Sites Location. Kyiv region (a) and intensive observation sub-site – Vasilkov county (b)

In Situ Observations

Crop height

  • Crop Type(s):
  • Collection Protocol:
  • Frequency: About two times for each crop per year.

Crop Type

  • Crop Type(s):
  • Collection Protocol:

    Along the road field survey and stratified area frame sampling survey (segment survey).

  • Frequency: Once a year (in June-July when all crops are still present).

Digital Hemispheric Photographs

  • Crop Type(s):
  • Collection Protocol:

    Images were acquired with a NIKON D70 camera, hemispherical images acquired during the field campaign are processed with the CAN-EYE software (http://www.avignon.inra.fr/can_eye) to derive LAI, FAPAR and FCOVER

  • Frequency:

EO Data

Optical Data Requirements

  • Approximate Start Date of Acquisition: 01/04
  • Approximate End Date of Acquisition: 01/10
  • 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

  • Approximate Start Date of Acquisition: 01/04
  • Approximate End Date of Acquisition: 01/10
  • Spatial resolution: Medium resolution (20-60m)High resolution (5-20m)
  • temporal_frequency: Biweekly
  • Frequency: XCL
  • Incidence Angle: Medium
  • Polarisation:
  • Level of Processing: Level 2
  • Orbit: Any
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: More than 5 days
  • Challanges:

    • Passive Microwave Data Requirements

    Thermal Data Requirements

    Results

    Documents and Files

    Links to paper

    Project Reports

    Study Team

    Team Leader

  • Name: Natalia Kussul
  • Affiliation: Space Research Institute NASU-SSAU
  • Affiliation Webpage: http://www.nkau.gov.ua
  • Position: Deputy Director
  • Email: kussul@mail.ru
  • Personal Webpage:
  • Phone number:
  • Postal Address:

    • Other Team Members