Spectral Indices as a Tool to Assess the Moisture Status of Forest Habitats

Measurement of water content in forest habitats is considered essential ecological research on forests, climate change, or management. In the traditional habitat classification, two systems conditions analysis are found: single factor and multifactor methods. Both laborious therefore costly. Remote sensing methods provide a low-cost alternative. The aim presented study was to find relationship between spectral indices obtained from satellite images moisture used traditionally Polish classification. scientific hypothesis as follows: it possible assess variation humidity basis indices. Using advanced geographic information system (GIS) technology, 923 plots were tested, where studies performed with compared 191 calculated for Sentinel-2 image data. normalized difference vegetation index (NDVI) has proved be most useful assessing habitats. ranking correlated Eintg—the product absolute value slope mean square error complement, top five NDVI = 0.248619, EXG 0.242112, OSAVI 0.239412, DSWI-4 0.238784, RDVI 0.236995. results also highlight impact reservoirs trophicity habitats, showing decrease fertility an increase distance reservoir. can preparing maps diversity types, especially hard-to-reach places, well changes status which may useful, example, assessment fire risk We have that applications not originally designed.