COPAL SEMINAR WARSZAWA 18.01.2008 INSTITUTE of GEODESY and CARTOGRAPHY Katarzyna Dabrowska – Zielinska [email protected] Stanisław Lewiński

COPAL SEMINAR WARSZAWA COPAL SEMINAR WARSZAWA 18.01.200818.01.2008

INSTITUTE of GEODESY and CARTOGRAPHY

www.igik.edu.pl

Katarzyna Dabrowska – Zielinska

[email protected]

Stanisław Lewiński


Institute of Geodesy and Institute of Geodesy and CartographyCartography

80 – Researchers, Assistants and 80 – Researchers, Assistants and administrationadministration

Departments:Departments: Remote SensingRemote Sensing PhotogrammetryPhotogrammetry GISGIS CartographyCartography Applied GeodesyApplied Geodesy Cadastre and Geocartographic ResourcesCadastre and Geocartographic Resources


Since eighties the Remote SEnsing Department has been involved in numerous international projects. The most important achievements in this field:

•UNDP/FAO Project: „Remote Sensing based system of dynamic grassland soil moisture determination and yield forecasting”;1987 - 1992;•US-Poland Maria Sklodowska-Curie Joint Fund II project in cooperation with NOOA NESDIS, USA : „Application of NOAA AVHRR Data for implementation in Polish Agriculture”; 1996 - 2001; •MARS Project EU (Monitoring Agriculture with Remote Sensing) covering four Actions: Regional Inventory, • Agromodelling, Forest Ecosystems and Land Degradation; 1994 - 1996;


•EU Project: Application of integrated methods for monitoring and evaluation of natural and cultivated landscape vegetation

•CORINE Land Cover Projects; 1990 2000;2008

•ESA projects - AO: Soil moisture investigation for the different agricultural crops for biomass assessment using ERS-1 and ERS-2 data; 1993 - 1996

•ESA projects – AO :Application of microwave satellites ENVISAT, AlOS, TerraSar-X; 2000 - 2007;

* Geoland Project - FP6 Framework Programme – GMES Land Cover & Vegetation; 2004 - 2006;


ESA – PECS PROJECTSESA – PECS PROJECTS

Study and implement remote sensing Study and implement remote sensing techniques for the assessment of techniques for the assessment of carbon balancescarbon balances for different for different biomasses and soil moistures within biomasses and soil moistures within various ecosystemsvarious ecosystems

Application of remotely sensed data Application of remotely sensed data for transboundary water resource for transboundary water resource managementmanagement


IGiK Photogrammetry Department has extensive experience in analytical and digital photogrammetry.

On the basis of our own research and cooperative research projects with institutions in many countries (Belgium, China, Lithuania and Switzerland) we have completed numerous application and contracted projects in Poland and abroad (Belgium, Cameroon, Costa Rica, Ethiopia, France, Germany, the Netherlands, India, Kuwait, Libya, Senegal, United Arab Emirates, USA, Uganda and Vietnam)IGIK EXPERIENCE also in:AERIAL & SATELLITE DATA PROCESSING


REMOTE SENSING SYSTEM OF CROP CONDITIONASSESSMENT

CENTRAL STATISTICAL OFFICE Agricultural Statistical Database

ARCHIVE DATABASE of AvNDVI trends for previous years

Agriculture Market Analysis and Forecastused in purchasing and selling small grains

and for agricultural policy decisions

Incorporate crop conditionassessment report

into Polish crop reporting systemand produce yield forecast

Compare current year’s AvNDVI trends to historical trends

in the archive databaseto assess crop condition for this year

Calculate average crop condition indexfor each voivodship (AvNDVI)

for each 10 days period

Extract vegetation indices of croplandfrom cloud-free areasfor each 10 day period

Calibrate and correct imagesfor differences over time

and create 10 dayvegetation index composites

Reception of Satellite Databy Polish Station



since 1995

area - 59223 ha





APAR Radiative TemperatureLAI Piesometric measurements

Meteorological Station Soil Moisture Spectrometer EXOTECH

FIELD MEASUREMENTS


Satellite Land Use MapSatellite Land Use MapSatellite Land Use MapSatellite Land Use Map


Forests


DEATAILED VEGETATION CLASSIFICATION – PERSPECTIVES FOR HYPERSPECTRAL DATA



ASTER15.07.2001



LAI=f (EVI – index – MERIS data Comparision of 2004 and 2003


Landsat +ETM

CLASSIFIED VEGETATION


NDVI & SURFACE TEMPERATURE from MODIS


COMPARISION of LAI from MERIS (EVI) and LAI from MODIS (NDVI)LAI low (śr. 0.5-1) LAI high (śr.2-3)


SOIL MOISTURE MODELED from ENVISAT ASAR IS2 HH data (May & June 2003. DROUGHT EFFECT in JUNE


Classified Flooded Area ENVISAT ASAR z dn. 18-03-2003

wody

zalana roślinnośćniższa

zalana wyższa roślinność

ETM+ 07-10-2000


POLAND – ERS-2.SAR IMAGES

FOR ODRA VALLEY FLOOD IN 1997



PERSPECTIVES FOR HYPERSPECTRAL DATA

VEGETATION CLASSIFICATION

WATER BALANCE ESTIMATES

CARBON BALANCE

NATURA 2000 AREAS

Documents

COPAL SEMINAR WARSZAWA 18.01.2008 INSTITUTE of GEODESY and CARTOGRAPHY Katarzyna Dabrowska – Zielinska [email protected] Stanisław Lewiński