Multi-indicator deterministic model based on time series of Sentinel-2, to assess the degree of natural succession on the abandoned arable areas
| dc.contributor.author | Kozak, Małgorzata | |
| dc.contributor.author | Jędrejek, Anna | |
| dc.contributor.author | Pudełko, Rafał | |
| dc.date.accessioned | 2026-03-20T11:14:29Z | |
| dc.date.available | 2026-03-20T11:14:29Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The article presents the concept of a deterministic model for assessing the degree of natural succession on long-term aban-doned land in the agricultural production area of Poland. The model was implemented as a geographic information system tool. It is based on two basic sources of information: cadastral maps, which can suggest if the agricultural land is agriculturally used, and seasonal time series of satellite images. The following working hypothesis was adopted in this study: “based on the data from the Sentinel-2 sensor, it is possible to assess the degree of natural succession on small and medium agricultural plots – by separating at least three classes of land cover, representing: early succession consisting mainly grass and ruderal vegetation, advanced succession represented by complexes of shrubs and young trees, mature succession - which is a transitional phase preceding the afforestation phase, or can already be a functional forest area”. The obtained results confirmed the above hypothesis. In the case of early succession, the clas-sification efficiency was about 94% in the winter period, for advanced succession about 75% in the autumn period, and for mature succession about 78% in the summer period. In the classification process, 8 vegetation indices were examined. In the end, the model algorithms were based on the GNDVI index, whose properties allowed for the best differentiation between the above-mentioned suc-cession classes. NDVI, NDRE, NDVIre1, NDVIre2, NDVIre3 were used as auxiliary indices, which, as shown in the research, can improve the classification accuracy at a higher uncertainty threshold in case of weaker separation of classes with the GNDVI index. | |
| dc.identifier.citation | Current Agronomy 2024, 53/1: 178–203 | |
| dc.identifier.doi | 10.2478/cag-2024-0017 | |
| dc.identifier.issn | ISSN: 2081-2787 eISSN: 3071-740X | |
| dc.identifier.uri | https://bc.iung.pl/handle/123456789/4737 | |
| dc.language.iso | en | |
| dc.publisher | Instytut Uprawy Nawożenia i Gleboznawstwa - Państwowy Instytut Badawczy w Puławach | |
| dc.subject | Sentinel-2 classification model, abandoned arable land, landuse change, natural succession | |
| dc.title | Multi-indicator deterministic model based on time series of Sentinel-2, to assess the degree of natural succession on the abandoned arable areas | |
| dc.type | Article |