Monitoring the crop yield is one of the key factors to define agricultural land management strategies. Recent developments in spatial information technologies enabled cost and energy saving in crop yield prediction. The aim of this paper was to predict yield of the three major crops and yield loss under soil salinity effect which is one of the most important limitation in many Mediterranean countries. Crop yields were estimated using vegetation indices and Stepwise Linear Regression (SLR) derived from Landsat (Thematic Mapper and Enhanced Thematic Mapper) TM/ETM satellite images.

This study analyzes the effects of transaction costs on the size of hazelnut farms in Turkey. The study finds that higher land slope and higher variance of rain, as transaction‐cost‐increasing natural effects, lead to smaller hazelnut land holdings. High slope and weather variation can increase the costs of monitoring the laborers, make moving inputs or output up and down harder, limit the use of machinery, and reduce contractual performance of labor contracts. For farm production functions, land is a complex input with measurable interactions with nature.

Ecosystem services (ESs) are gaining ground in urban policy as a key to attaining sustainable cities. However, strategic and land-use planners need operational and accessible tools to better understand the consequences of policy and planning measures. Based on a study of the City of Stockholm and its surrounding region, we argue that spatially explicit land-use mapping is a good base for modeling and visualizing the supply of urban ESs provided by different patterns of Service Providing Units.