Knowing the extent and frequency of forest cuttings over large areas is crucial for forest inventories and monitoring. Remote sensing has amply proved its ability to detect land cover changes, particularly in forested areas. Among various strategies, those focusing on mapping using classification approaches of remotely sensed time series are the most frequently used. The main limit of such approaches stems from the difficulty in perfectly and unambiguously classifying each pixel, especially over wide areas. The same procedure is of course simpler if performed over a single pixel.

This contribution provides a first characterization of the environmental development for the surroundings of the UNESCO World Heritage site of Göbekli Tepe. We base our analyses on a literature review that covers the environmental components of prevailing bedrock and soils, model- and proxy-based climatic development, and vegetation. The spatio-temporal scales that are covered are mainly the Eastern Mediterranean region and the Late Quaternary—whereby special attention is given to available data from the close vicinity of Göbekli Tepe.

The growing demand for biofuel production increased agricultural activities in South Dakota, leading to the conversion of grassland to cropland. Although a few land change studies have been conducted in this area, they lacked spatial details and were based on the traditional bi-temporal change detection that may return incorrect rates of conversion. This study aimed to provide a more complete view of land conversion in South Dakota using a trajectory-based analysis that considers the entire satellite-based land cover/land use time series to improve change detection.