Natural Afforestation on Abandoned Agricultural Lands during Post-Soviet Period: A Comparative Landsat Data Analysis of Bordering Regions in Russia and Belarus
نویسندگان
چکیده
Remote monitoring of natural afforestation processes on abandoned agricultural lands is crucial for assessments and predictions forest cover dynamics, biodiversity, ecosystem functions services. In this work, we built the general approach combining satellite field data mapping developed a simple robust method dynamics assessment. This based Landsat imagery index-based thresholding specifically targets suitability limited data. We demonstrated method’s details performance by conducting case study two bordering districts Rudnya (Smolensk region, Russia) Liozno (Vitebsk Belarus). area was selected because striking differences in development agrarian sectors these countries during post-Soviet period (1991-present day). used to generate consistent time series five-year cloud-free multispectral composite images 1985–2020 via Google Earth Engine. Three spectral indices, each designed either forest, water or bare soil identification, were arable land mapping. Threshold values indices classification both determined verified additional samples obtained visual interpretation very high-resolution imagery. The applied over full quantify 35-year area. About 32% initial grasslands Russian district afforested end considered period, while Belarus’ decreased only around 5%. Obtained results are good agreement with previous studies dedicated abandonment Eastern Europe region. proposed could be further into universally applicable technique different growing conditions at local regional spatial levels.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14020322