Showing 1 results for Remote Sensing.
Hadi Poorbagher , Sohail Eagderi ,
Volume 8, Issue 5 (12-2020)
Abstract
In many habitat evaluation methods, the abundance data are used. Such data are not available for many species. However, there is some website that provides the presence data of species that are based on the studies made. The present study used the PATREC method to estimate the habitat suitability of the Caspian Sea for the genus Alosa. The PATREC method needs abundance data to calculate the prior probability. We used a logistic model and environmental data collected using the satellite remotely-sensed method to find a relationship between the presence of the genus and environmental factors. The model used to predict the presence probability of the genus. The piecewise linear regression was used to find the subrange of the environmental factors. The PATREC method calculated the suitability of the Caspian Sea for the genus Alosa as 0. 66. Such a method can be used for the data of some years to investigate the temporal trend of habitat suitability.
