The structural characteristics of Light Detection and Ranging (LiDAR) data are increasingly used to classify urban environments at fine scales, but have been underutilized for distinguishing heterogeneous land covers over large urban regions due to high cost, limited spectral information, and the computational difficulties posed by inherently large data volumes.

Land improvements with long pay-back periods are often delayed on leased agricultural land. The delay in improvements has been found to result in land degradation, decreased land productivity and environmental problems. An important question is thus how landowners would respond to regulations and mandates concerning land improvements. Based on a Finnish landowner survey, we analysed landowner choices under certain land improvement regulations, using the currently dominant choice of leasing land for agricultural use as the benchmark.

Adequate conservation of biodiversity on private land remains elusive due, in part, to a failure to understand the personal circumstances and social characteristics of private landholders. Our aim was to identify those personal and social dimensions of landholders that might contribute to improved conservation policy and program design and, thereby, participation in private land conservation.