Protective forest plantations (PFPs) are an important component of the sustainable functioning of agricultural landscapes, preventing the development of water- and wind-erosion processes. In recent decades, the pace of creation of PFPs in Russia has decreased many times over compared to the middle of the last century. At the same time, due to natural and anthropogenic factors, existing PFPs are subject to large-scale degradation processes, while information about their current state is practically absent. Existing information products on land cover types and forest monitoring only partially cover PFPs. Protective forest belts with a width of 10–20 m are very fragmentarily reflected on the existing global and national satellite maps of forests. The well-known approaches to PFP mapping are based on expert interpretation of the Earth remote sensing (ERS) data of ultrahigh spatial resolution or ground survey using GPS receivers. These methods are time consuming and cannot be applied over large areas. The study proposes a new method for PFP mapping based on multitemporal ERS satellite data using the BSFI (Bi-Season Forest Index), calculated as a normalized difference in the minimum value of the NDVI (Normalized Difference Vegetation Index) for the vegetation season and the maximum albedo determined in winter in the presence of snow cover on the Earth’s surface. Pixels with positive values of this index can be attributed to areas covered with woody vegetation. A comparison of the PFP area identified on the basis of the BSFI based on satellite-imagery data by the Sentin-el‑2 spacecraft was performed with the results of expert interpretation of detailed satellite images and widely used information products of satellite land-cover mapping. Comparative analysis showed the presence of a close connection between the results obtained on the basis of Sentinel‑2 data and estimates of the area of PFPs based on expert interpretation of detailed satellite images, which is characterized by correlation coefficient R = 0.99, as well as allowing us to establish the accuracy of forest identification based on this index at the level of 91%. The relative error in identifying protective forest belts in the 50-m zone around the field boundaries was 9%. The proposed approach is recommended for PFP mapping in sparsely forested regions, where it is possible to obtain satellite images of the Earth’s surface with the presence of snow cover.
A Method for Mapping Protective Forest Plantations Based on Multitemporal Satellite Images of High Spatial Resolution and Bi-Season Forest Index
Cosmic Res
Cosmic Research ; 60 , Suppl 1 ; S80-S90
2022-12-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
protective forest belts , tree and shrub vegetation , agricultural landscapes , agroforestry reclamation , remote sensing , <italic>Sentinel‑2</italic> , NDVI Physics , Astronomy, Astrophysics and Cosmology , Astrophysics and Astroparticles , Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) , Physics and Astronomy
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