Vegetation Growth Analysis of UNESCO World Heritage Hyrcanian Forests Using Multi-Sensor Optical Remote Sensing Data

نویسندگان

چکیده

Freely available satellite data at Google Earth Engine (GEE) cloud platform enables vegetation phenology analysis across different scales very efficiently. We evaluated seasonal and annual of the old-growth Hyrcanian forests (HF) northern Iran covering an area ca. 1.9 million ha, also focused on 15 UNESCO World Heritage Sites. extracted bi-weekly MODIS-NDVI between 2017 2020 in GEE, which was used to identify range NDVI two temporal stages. Then, changes growth were analyzed by Sentinel 2-derived Temporal Normalized Phenology Index. modelled additionally considering elevation, surface temperature, monthly precipitation. Results indicated considerable difference onset along longitudinal gradient HF. Faster observed low- uplands western zone, whereas it lower both mid-elevations outskirts. Longitudinal a major driver growth, environmental factors differently but significantly contributed (p < 0.0001) west-east gradient. Our study developed GEE provides benchmark examine effects parameters HF, cover mountainous areas with partly no or limited accessibility.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13193965