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GEOSS GMES
..
, . 01601, . . , 55- ./ ++ (38 044) 486 9405 E-m ail: lyalko@casre.kiev.ua http: //www.casre .kiev .ua

- 2006


, , - , , . 2005 55 ( ) Global Earth Observation System of Systems (GEOSS) ­ . .


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Propo sa ls pre se nte d b y the C AS RE Sc ien tif ic Ce ntr e f or Aeros pac e Res e arc h of th e E arth of Na tio na l Ac ad em y of Sc ie nc es o f Ukra in e 55- b, O. Honc har s tr ., K ie v, 0 16 01, Ukr ai ne

Natural Hazards Risks Management Optimiz ation in th e Context of Global Chan ges
Project Proposal


Purposes of the P roject
Ma in goa l is to deve lo p t he a na lytic appro ac hes e ns emb le a nd t he mo deli ng to o ls, whic h o perate wit h Ea rt h o bservatio n d ata a nd directe d to the o btai nme nt o f the m ulti-sc ale sce na rio s of the lo ng-t erm dy namic o f haz ardo us nat ur a l p he no me na o n t he base o f ana lysis o f the re lative eco systems tra nsf o rmatio n and cli mate c ha nge. Theref o re the ge nera l purpose o f the p ro ject is imp le me ntatio n o f the eff icient system o f remo te sensi ng d ata uti lizatio n f o r the deve lo pme nt o f decisio n-ma ki ng s uppo rt system i n t he f ield o f sustai na ble nat ura l haza rds risk m a nage me nt. First o f all, it is t he way to lo ng-te rm f o recast and to mo nito r of hydro lo gica l a nd hydro -meteo ro lo gical ca tastro p hes i n t he eco lo gically se nsitive r egio ns under t he varie d geo grap hic co nditio ns. Fo cus o f activity is Centra l a nd Easter n E uro pea n river b asi ns. Exactly t he Danube, Vistula, Dnipro, a nd Dniste r river basi ns s ho uld be i nv estigated.

Key words: Natural disasters, Earth observations, Global changes, Socio-ecological security, Sustainability, Adaptability


Project Backgroun d
The pro ject base d o n t he numb er o f natio na l a nd i nter natio na l resea rc h a nd deve lo pme nt pro grams, i n partic ula r o n t he c urr e nt activity o f the i nvo lved instit utio ns. There are seve ra l impo rta nt p ro grams o f the i nter natio na l co mm unity, whic h can be def ined as t he appro priat e bac kgro und f o r pro po sed activity: Unite d Natio ns Co mmissio n o n S ustai nab le Deve lo pme nt; EC Water Frame wo r k Directive; Do cume nts o f CEOS and IGOS Ple nary; Jo int EC and ESA pro gram do cume nt o n t he space scie nc es a nd techno lo gies deve lo pme nt "G ree n Pape r o n EU Space Po licy"; GM ES Pro gram of EU and ESA; GEOSS Initiative.


Research Backgroun d
The number of the techniques for Earth observation data interpretation have been developed by CASRE scientists. Developed approaches aimed to detection and estimation of land cover features connected with the ecosystems changes and impacted to the natural disasters escalation.


Research Backgroun d
Developed tools and approaches allow to understand the natural systems heat & mass balance and to forecast the disasters risks on local and on the regional scales.
Mo del app ro aches deve lo ped by CASRE scientists f o r the ana lysis a nd f o recasting o f wate r a nd heat ba la nce o f nat ura l syste ms:


Research Network
National Partner s:
Institute of Geological Sciences of National Academy of Sciences of Ukraine; Institute of Geography of National Acade my of Sciences of Ukraine; Ukrainian Hydro-meteorologica l Research Institute of National Acade my of Sciences of Ukraine; Marine Hydrophysical Institute of National Academy of Sciences of Ukraine.

Foreign Partn er s:
Institute of Geodesy and Cartography of Poland; Space Research Centre of Polish Acade my of Sciences; Institute of Meteorology and Water Management of Poland; Meteorological Service of Hungary; Hungarian Geological Institute of Geological Service of Hungary; Institute of T echnology of Crete, Greece.

International Partner s:
International Institute for Applie d Systems Analys is; Joint Research Centre of EC


Expected Results
Development of the public accessible problem-oriented information and data base; Integration of the EU space practices and GMES services into national technological network; Development of the satellite data based modeling tool for the analysis of relative ecos ystem dynamic, climate changes and foresight of the long-term disaster escalation; Preparing of the maps of future change of natural parameters as well as the maps of disaster risks on regional and local scale; Development of the long-term scenario of the natural disasters escalation connected with the global climate and environmental changes; Integration new countries into GMES program, realization of GEOSS Initiative.


Evaluation of fores ts changes within Ukraine and Central Sibe ria and their influe nces on carbon and wate r cycle at regional and global level us ing re mote sens ing data in connection with aspects of the climate change issue
Prof. Vadim I. Lyalko, Dr. lexey I.Sakhatsky, Dr. Galina M. Zholobak, Dr. Artur Ja. Khodorovsky, Dr. Zinovia M. Shportyuk, Oksana M. Sybirtseva, Alexander A. Apostolov
(Sc i ent if ic Ce ntre fo r Aeros p ac e R es e arc h of t he Ear th , Ki e v, Ukr ain e)

Yury S. Shparyk
( Ukra in ia n Res earc h Ins t it ute for Mou nt ai n F ores tr y, Iv an o-Fr an ki vs k , Ukr ai ne)


Goal of the Project :

The goal of the project is the study of the forests state of Ukraine, especially of boreal Carpathia n forests, and of Centr al Siberia for evaluatio n and their biophysical parameters and influe nce on carbon and water cycle in connectio n with obligatio ns of the countries on Kyoto Reporting using the new approach to processing of multiba nd and hyperspectra l satellite images of different spatia l resolution from satellites ESA (Envisat, ERS2), Russia (Reso urce, Meteor), Ukraine (SICH-2M), as well as the other Landsat, SPOT, ASTER, MODIS a nd others


Research areas in the Ukraine
Chernobyl po lygo n

Carpathians po lygo n fro m 2004


Clas sified SPOT-4 image (14.07.1998) within Cher nobyl Exclusio n Zone

ChNPP


Legend
Pine Pine, affected by pine mo th (1 level) Pine, affected by pine mo th (2 level) Pine, affected by pine mo th (3 level) Pine in flooded zone Pine, affected by fires Pine along the roads, sparse forests Deciduous forests Deciduous forests in flooded zone Burned forest Burned forest with bushes and yo ung trees Meadow and long fallow lands Settleme nts Sand, bare soil Water


Results of m inim um -distance classification based on im ages: MERIS ­ A, AVHRR ­ B, MODIS (500) ­ C, MODIS (250m ) ­ D for Carpathian test polygon

A

B

Le ge nd: coniferous forests ­ red; deciduous forests ­ dark green; grassland and arable land ­ light gray; built-up areas ­ orange; water ­ blue snow ­ white

C

D


CONCLUSI ON
1 . The appl icatio n o f mo de rn me tho ds o f s ate llite imag es pro ce ss ing allo ws to carry o ut the re g ula r co nt ro l o f te rrito rie s cove re d with fo re s ts , fo r the an al ys is o f the ir s tate in co nne ctio n wit h a pro ble m o f cli mat ic cha ng es and es timatio n o f ca rbo n b al ance at g lo bal an d re g io nal le v e ls . The e x pe rie nce o f s imila r wo rk s is accumul ate d in CASR E d uring s tudy o f fo re s ts o f Che rno by l Ex clus io n Zo ne an d bo re al fo re s ts o f Carpat hi an re g io n in Uk raine 2 . This s tudy s ho uld be co ns ide re d as pre limina ry re s ults fo r cl as s ificatio n o f i nv es tig ate d are a us ing im ag es with di ffe re nt s pati al an d s pe ctral re s o lutio n an d es pe cially M ERIS re duce d re so lutio n dat a. Fut u re s tudies s ho uld p la n i nv e s tig atio n o f full re s o lutio n M ERIS data fo r fo re s ts s tate mo nito ri ng tak i ng into acco unt that s pati al re s o lutio n and s pe ctral re s o lutio n is a ke y facto r fo r the re s ults as it was s ho wn. Als o the anal ys is o f m ultite mpo ral E arth Obs e rv atio n d at a s ho uld be wi de s phe re fo r re se arch.


Scientific Centre fo r Aero space Research of the Earth NAS o f Ukraine

Application of hyperspectral satellite data for increasing of crop yield of agriculture production
· Authors: Prof. V adim I. Lyalko, Dr. lexey I.Sakhatsky, Dr. Galina M. Zholobak, Dr. Artur Ja. Khodorovsky, Dr. Zinovia M. Shportyuk, Oksana M. Sybirtseva, Maxim V. Yuschenko, Alexander A. Apostolov


2

Research goal:

Development of the principal methodology for the optimisation and control of crop pro ductivity and rural people pros perity improvement on a basis of the agricultural innovation connected with the application of the satellite imagery and economical estimations under conditions of Ukraine (the Kyivska and Chernigivska districts as the pilot regions)


3 Theory backgro und for crop yield forecasting using ND VI
t

P = E F par PAR dt
0
t

(Kum ar K, M o nt he ith G.L ., 19 81)

P = E (aNDVI + b ) PAR dt
o

(Princ e S.D ., 19 91)

Yield = -65.94 + 46.23 *
Yield = 774 .1(



17

NDVIi
-

(Ben ed ett i R. , R os s ini P., 1 99 3)

i =1 2



NDVI

1s ep t-1 0o kt



NDVI

1 m a y-3 1m a y

) - 1195 , (r2 = 0.72 9 )

(Ras m us s en M . S., 19 97) (Ill era P. et al. 2 00 0)

Yield (kg / ha) = + NDVI J + Ts2 + (Ts - Ta ) + R
NDVI J =



1 june- 31 july

( NDVI - NDVIja n u a ry )

n u m.d a ys(1 ju n e - 31 ju ly )

R =



1m ay-10 july

RG

n u m.d a ys(1ma y - 10 ju ly)
20apr -10 july

Ts 2 =



20 april -10 july

Ts2

num.days( 20 apr - 10 jul )

Ts - Ta =

(Ts - Ta )

n u m.d a ys( 20 a p r - 10 ju l )

= 8 9 70 , = 3 59 0, = -8 1, = 2 2 15 , = 6 3.


4
Overlapping of the classified Landsat-7 im age (18.05.2001) with a fragm ent of AVHRR NOAA-16 im age (16.05.2001) of sout hern regions of the Kyiv area


5 Linear correlatio n dependence between prod uctivity of a winter wheat of facilities of Barishevsky region a nd summarized ND VI
Yield

2001

Yield

2002

ND VI

ND VI

Y = 59. 8732*X + 35, 1644 (r2 = 0.828)

Y = 79. 3002*X + 41, 6236 (r

2

= 0. 670)


6 Cha nges of the average index ND VI within the Barys hevsky region of Kiev area, in April - May 2001 -2003 (On the AVHRR/NOAA-16 data)
NDVI

NN of day in year Average maximal meanings fo r 2001 Average maximal meanings fo r 2002 Average maximal meanings fo r 2003 Average meanings fo r 2001 Average meanings fo r 2002 Average meanings fo r 2003


CONCLUSION
1. The application of mo dern methods of satellite images pro cessing from NOAA\AVHRR and Landsat-7 allo ws to carry o ut the regular contro l o f winter wheat cro p yield at the regio nal level 2. The experience of similar wo rks was accumulated in CASRE during study of winter wheat cro p yield within the Kiev oblast (Baryshevsky, Yago tinsky, Kagarliksky regions) on the base o f complex using of satellites (NOAA, Landsat-7) and gro und truth data. 3. The goal of the represented wo rks is impro vement o f a technique o f interpretatio n o f satellites images of different reso lution and fo recasting on this basis o f the winter wheat cro p yield fo r Kiev o blast and o thers regio ns o f Ukraine


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