GIS & satellite detection analyses of forest belt in Prokuplje municipality

Abstract

Original scientific paper Corine Satellite Detection in combination with GIS may analyse and show the quantitive and qualitive features of a forest belt. As a result, it gives 100 m resolution satellite recordings and may even show horizontal forest dispersness. In order to avoid exceptions and recording overlapping with digitalization, what is considered is a 100 m resolution, an identical projection file called WGS 84, so that the Corine recording projection may be harmonised. This detection defines 44 types of earth layers, while a forest earth layer is defined by 12 types of soil. Concerning the specific nature of the territory observed , 5 types of soil are considered. What is observed in the soil structure are features of a territorial span with 3 types of forests, mixed forests, broad-leaved forests and coniferous forests, including two soil types containing sparsely vegetated areas or natural grasslands. Keywords: analyses; Corina; forest belt; GIS; satellite detection; sub-pixels Analize šumskog pojasa općine Prokuplje primjenom GIS & satelitske detekcijeIzvorni znanstveni članak Corine satelitska detekcija u kombinaciji s GIS-om može analizirati i pokazati kvantitativna i kvalitativna obilježja šumskog pojasa. Kao rezultat, dobivaju se satelitske snimke razlučivosti 100 m, a može se prikazati i horizontalna šumska rasprostranjenost. Kako bi se izbjegle iznimke i preklapanje snimki s digitalizacijom, koristi se rezolucija 100 m, identična projekcijska datoteka pod nazivom WGS 84, tako da se projekcija Corine snimki može uskladiti. Definirane su 44 vrste slojeva zemlje, dok je šumski sloj definiran s 12 tipova tla. S obzirom na specifičnu prirodu promatranog teritorija, razmatrano je 5 vrsta tla. Ono što je promatrano u strukturi tla su značajke površine s 3 vrste šuma, mješovite šume, širokolisne šume i crnogorične šume, uključujući i dva tipa tla koji sadrže slabo obrasla područja ili prirodne travnjake.

Geospatial assessment of vegetation condition pre-wildfire and post-wildfire on Luštica (Montenegro) using differenced Normalized Burn Ratio (dNBR) index

“…The spatial component in firefighting plays a significant role in management. In this context, Remote Sensing and Geographic Information Systems (GIS) come to the fore, which analyze spatial data and turn it into useful information -models applied in practice (Valjarević & Ţivković, 2016;Jovanović et al, 2018;Potić & Šimunić, 2019;Milanović et al, 2009Milanović et al, , 2016Milanović et al, , 2019Milanović et al, , 2020Šiljeg et al, 2017Artan & Spalević, 2020Durlević et al, 2021;Ćurić et al, 2022).…”