Procjena šumskih resursa na temelju Sentinel-2 snimki – studija slučaja Derventa, BiH (Katastarska općina Brezici)

IF 0.5 4区 农林科学 Q4 FORESTRY
Dragana Skorup, Miroslav Vujasinović, Goran Marinković, Ilija Grgić, Boban Miletić
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引用次数: 0

Abstract

The management of forest resources is complicated due to the complete lack of maintenance and disorganization of the land administration and survey that are decades old. Modern, unconventional monitoring systems are used with the aim of improving the existing records systems and creating a clearer insight into the state of forest resources. This study provides an example of the use of one such system, Sentinel-2. Using the R programming language, the multispectral Sentinel-2 images were classified by the Random Forest classification algorithm. Following the completion of the classifications, the accuracy of the classification was evaluated using the error matrix and the Kappa value. An analysis of forest resources for one cadastral municipality was accomplished using classified rasters and data from the Real Estate Cadastre Database. Based on the data analysis, major changes are visible in terms of the abandonment of agricultural land and its conversion into a certain form of forest vegetation. Furthermore, based on these data, the study demonstrates changes that can be monitored in shorter time intervals. Sentinel-2 images can be used to determine forest expansion, based on the aforementioned analyses, resulting in a clearer and better representation of existing forest resources that are unknown due to outdated and unreliable land administration systems.
根据Sentinel-2镜头估算的森林资源——波黑Derventa案例研究
由于几十年来的土地管理和调查完全缺乏维护和组织,森林资源的管理变得复杂。使用现代的、非常规的监测系统的目的是改进现有的记录系统,并更清楚地了解森林资源的状况。本研究提供了一个使用这样一个系统的例子,哨兵-2。利用R编程语言对Sentinel-2多光谱图像进行随机森林分类算法分类。分类完成后,利用误差矩阵和Kappa值对分类的准确性进行评价。利用分类栅格和房地产地籍数据库的数据,对某地籍市的森林资源进行了分析。根据数据分析,在放弃农用地和转化为某种形式的森林植被方面,可以看到重大变化。此外,基于这些数据,该研究表明可以在更短的时间间隔内监测变化。基于上述分析,Sentinel-2图像可用于确定森林扩张,从而更清楚、更好地反映由于过时和不可靠的土地管理系统而未知的现有森林资源。
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来源期刊
Sumarski List
Sumarski List FORESTRY-
CiteScore
0.90
自引率
20.00%
发文量
32
审稿时长
>12 weeks
期刊介绍: Forestry Journal publishes scientific and specialist articles from the fields of forestry, forestry-related scientific branches, nature protection and wildlife management.
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