With a rapid surge in urbanization, rural functions and the structure of rural construction land are undergoing profound change. Using the village-level units of Tai’an Prefecture in the North China Plain as the research object, this study employs the land use survey data in 2019, selecting the diversity index, concentration index, land use type, and location index to analyze the spatial pattern of rural construction land structure. Thereafter, a multiple linear regression model is developed to identify the driving factors of spatial differentiation in rural construction land structure.

Soil properties estimation with the use of reflectance spectroscopy has met major advances over the last decades. Their non-destructive nature and their high accuracy capacity enabled a breakthrough in the efficiency of performing soil analysis against conventional laboratory techniques. As the need for rapid, low cost, and accurate soil properties’ estimations increases, micro electro mechanical systems (MEMS) have been introduced and are becoming applicable for informed decision making in various domains.

Though forest ecosystems play a critical role in enhancing ecological, environmental, economic, and societal sustainability, on a global scale, their future outlooks are uncertain given the wide-ranging threats they are exposed to. The uniqueness of this study is to provide a line of evidence in which forest change trajectories are not only tracked but also evaluated through the lenses of forestry and economic oriented events’ timelines. The dynamics of forest change trajectories were mined using a temporal model.