Woody Above-Ground Biomass Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data

Abandoned agricultural land (AAL) is a European problem and phenomenon when gradually overgrown with shrubs forest. This wood biomass has not yet been systematically inventoried. The aim of this study was to experimentally prove validate the concept satellite-based estimation woody above-ground (AGB) on AAL in Western Carpathian region. analysis based Sentinel-1 -2 satellite data, supported by field research airborne laser scanning. An improved AGB estimate achieved using radar optical multi-temporal data polarimetric coherence creating integrated predictive models multiple regression. Abandonment represented two basic classes identified according overgrowth shrub formations (AAL1) tree (AAL2). First, an allometric model for AAL1 derived empirical material obtained from blackthorn stands. AAL2 quantified different procedures related (1) mature trees, (2) stumps (3) young trees. Then, three mathematical were developed. best reached R2 = 0.84 RMSE 41.2 t·ha−1 (35.1%), parametrized range 4 350 t·ha−1. In addition 3214 hectares forest land, we 992 shrub–tree significantly lower than simple composition.