the analysis of relations between land surface morphometry and spectral characteristics of...

The analysis of relations betweenland surface morphometry and spectral

characteristicsof ecosystems in Ukrainian Carpathians

Alexander MKRTCHIANI. Franko National University of Lviv,

Lviv 79000, UkraineE-mail: alemkrt@gmail.com

Data sources for analysis

Study area terrain

LANDSAT 7 ETM+ images of study area:1, 2 ,3 (blue, green and red) bands

LANDSAT 7 ETM+ images of study area:4,5 near-IR bands

Composite images of study areain pseudocolors

Principal components of image bands

1-st

2-nd

Factor Structure, correlations

Root 1 Root 2 Root 3 Root 4

CTI 0.256291 0.267931 -0.127255 -0.084264 CURV_PL -0.142856 -0.134899 -0.335633 0.386087 CURV_PF 0.189693 -0.011858 0.224127 0.583308

ELEVATION -0.979572 -0.022921 0.193913 -0.015794 LSFACTOR -0.225909 -0.418755 0.418330 -0.270545

SLOPE -0.523470 -0.728675 0.405493 0.029916 SOLAR -0.059766 0.648771 0.632130 0.034147

Chi-Square Tests with Successive Roots Removed (Doc1.sta)

Canonicl - R Canonicl - R-sqr. Chi-sqr.

0 0.644667 0.415595 477756.2 1 0.255499 0.065280 59963.7 2 0.093987 0.008834 7457.2 3 0.026734 0.000715 556.1

Eigenvalues

Root 1 Root 2 Root 3 Root 4

Value 0.415595 0.065280 0.008834 0.000715

Results of canonical analysis betweenthe set of topographic characteristic and indices,

and the set of multispectral image principal components

Composite image of image principal components, draped over DEM surface

Future research directions:Inclusion of additional data reflecting abiotic ecological factors (climate, surface

geology, soils, etc.)

Analyzing of nonlocal dependencies by the inclusion of non-local measures (e.g., the averages and variances of variables calculated inside moving windows of variable sizes)

Analyzing the distributions of the complex spatial objects by isolating and analyzing image spatial textures

Studying temporal changes (dynamics) by analyzing time series of data

Practical significance:Assistance in conservation planning by delineating areas most suitable for conservation

Finding the most significant carbon storages and sinks in the landscape and their proper management

Revealing areas of significant antropogenic disturbance and the assistance in proper management of the disturbed areas

Thank you for attention