improvement of ews by land cover data – giancarlo pini – ibimet-cnr giancarlo pini institute of...

IMPROVEMENT OF EWS BY LAND COVER DATA – Giancarlo Pini – IBIMET-CNR

Giancarlo Pini

Institute of BioMeteorology (IBIMET) - National Research Council (CNR)

JRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03JRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03


The “Eritrea EWS for Food Security and Environmental Monitoring based on Africover database” is a pilot project, funded by FAO, to test Early Warning System

development under limited data availability.

In Eritrea data on population, food crops, livestock, and meteorology are very limited in terms of time series and geographical distribution

the pilot project has been developed in a particularly difficult environment

PROJECT BACKGROUND

ActionsData retrievalDatabase buildingConceptual system designVulnerability assessment (structural analysis) Food crisis prevention (current analysis)

JRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03

as consequence


Databases

- upgraded version of Crop Production System Zone (FAO) database using Africover and new administrative division

- long series Meteosat dekadal rainfall data and profiles related to CPSZ and selected areas (agriculture and pastoral)

- NDVI dekadal data (1981-2000 series) and profiles related to CPSZ and selected areas (agriculture and pastoral)

Analysis

- Land characterisation based on land cover database (Africover)

- NDVI dekadal inter-annual variability and land characterisation

- Selection of monitoring area for agriculture and pasture (using Africover) and application of dekadal monitoring (rainfall and NDVI) for the season 2002

PRESENT PROJECT PRODUCTSJRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03


Definition of zones interested by rainfed cereal cultivationbased on CPSZ

CPSZ (1994)

Zone of interest using theFAO Africover database: zone with cereal area >3000 ha

Zone of interest using the FAO Africover database: zone with cereal area >5000 ha

SOME PRODUCTS obtained by LAND COVER DATAJRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03


Land characterization based on the Africover database : distribution of agriculture and natural vegetation based on

CPSZ

SOME PRODUCTS obtained by LAND COVER DATAJRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03


Test of Africover and GLC2000

LAND COVER DATA APPLICATIONS

for

1 - simulation of coping capacity by cereal production

2 - identification of monitoring areas with the characteristics to be totally occupied by agriculture

(100%)



Eritrea GLC2000 v.1January 2003

Eritrea Africover

Eritrea GLC2000 v.3March 2003

Agriculture areas in pink

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1 - simulation of coping capacity by cereal productionJRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03

AFRICOVERtotal cultivated area (ha) 860894total cereal production (t) 430447total cereal needs (t) 900000cereal balance % -52

GLC2000 v.3 MAX AV MINtotal cultivated area (ha) 1547734 1138963 747808total cereal production (t) 773867 569482 373904total cereal needs (t) 900000 900000 900000cereal balance % -14 -37 -58

GLC2000 v.1total cultivated area (ha) 31208total cereal production (t) 773867total cereal needs (t) 900000E

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cereal balance % -98


MAX Class 17 - Areas with over 50% ofCroplands or Pasture

the area has been considered as 100% agricultural without consideringthe pasture (maximum value for definition)

Class 18 - Croplands mixed with openwoody vegetation, cropland mixedwith natural vegetation and representup to 30% of the cover

the area has been considered for the 30% of the total cover (maximumvalue for definition)

Class 19 - Irrigated croplands the area has been considered as 100% agricultural

AV Class 17 - Areas with over 50% ofCroplands or Pasture

the area has been considered as 75% agricultural without consideringthe pasture


the area has been considered for the 15% of the total cover


MIN Class 17 - Areas with over 50% ofCroplands or Pasture

the area has been considered as 51% agricultural without consideringthe pasture


the area has been considered for the 1% of the total cover




2 - identification of monitoring areas (100% agriculture)

Monitoring areas (100% agriculture) identified by using Africover

NDVI (82-00) inter annual variability on monitoring area 8

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may 1

may 2

may 3

jun 1

jun 2

jun 3

jul 1

jul 2

jul 3

aug 1

aug 2

aug 3

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oct 1

oct 2

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dekad

rainfall comparison on monitoring area 8

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

dekad

mm

2002 LS

NDVI comparison on monitoring area 8

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

dekad

ndvi

av max min 2002

CODE AREA Km2 CROP1 CROP2 CROP38 648 barley wheat teff

In GLC2000, croplands are always mixed with different land cover typologies.

At the moment, area identification is not possible

Example of monitoring activity

result



- first test: the main limit is the estimation of cropland area extension - second test: the main limit is the identification of area totally occupied by agriculture.

The limits come directly from the interpretation of the legend

The agriculture areas are not clearly defined, on the contrary the croplands are mixed with different land cover typologies and in

different percentages.

As consequence, for the moment, it is difficult to use the GLC2000 into EW and food security analysis.

RESULTS and LIMITS IN APPLYING GLC2000JRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03


GLC2000 in EW and FOOD SECURITY ANALYSIS

GLC2000 merits :

global coverage

possibility to be regularly updated

free access to information (internet)

GLC2000 limitations:

classification mainly oriented to natural vegetation

agriculture classes not clearly defined and identified

prevalence of remote sensing analysis approach, poor attention to territorial reality (field validation, utilisation of local knowledge,…..)



Land Cover is a fundamental information for EW and food security analysis

it has to be accurate, clear, reliable and usable for the different international and national users

the final validation has to consider the users needs

by means of effective and operating networks of

LC information meets with users needs and can be used for different applications (EW, FS,…..)

but

so

how

result

CONCLUSIONSJRC - GLC 2000 "Final Results" Workshop - Ispra 24-26/03/03

remote sensing expertsland cover experts

users communitylocal expertiseand



thank you !!!thank you !!!

improvement of ews by land cover data – giancarlo pini – ibimet-cnr giancarlo pini institute of...

Documents

cereal area

eritrea data

rainfed cereal

limited data availability

pastoral ndvi dekadal

thefao africover database

selected areas agriculture

monitoring areas