Analysis of forest cover in Parque Nacional Tingo María (Peru) using the random forest algorithm
نویسندگان
چکیده
The establishment of natural protected areas is one the most effective strategies to conserve forests and their biodiversity; however, uncontrolled advance deforestation resulting from change use expand agricultural frontier has become a threat these intangible areas. This research aimed analyze dynamics forest cover in Parque Nacional Tingo María (PNTM) its buffer zone (ZA) located high jungle Huánuco region Peru. main input was Sentinel-2 images that were classified using Random Forest algorithm. As result, coverage maps obtained for study area corresponding years 2017, 2019, 2021 2023, achieving considerable thematic accuracy. During evaluation periods, rates non-forest within PNTM presented low values -0.26% (2017 - 2019); -1.24% (2019 2021) -0.02% (2021 2023). While ZA have undergone dynamic transition, with -2.97%; -4.39% -1.15% derived land change. landscape metrics suggest are moderately fragmented, strongly which leads conclusion fulfilled objective maintaining vegetation cover.
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ژورنال
عنوان ژورنال: Scientia Agropecuaria
سال: 2023
ISSN: ['2306-6741', '2077-9917']
DOI: https://doi.org/10.17268/sci.agropecu.2023.025