Ronald Corstanje

TL;DR: In this paper, the authors provide a critical overview of management zone delineation approaches for precision agriculture applications, and compare and contrast traditional with advanced sensing technologies for delineating MZs, highlighting how recent development in sensing technologies, geostatistical analysis, data fusion, and interpolation techniques have improved precision and reliability of MZ delineation, making it a viable strategy in commercial agriculture.

TL;DR: In this article, the authors used Land Change Modeller (LCM)-Markov Chain models to simulate urban expansion in three cities (Kuala Lumpur, Metro Manila and Jakarta), all experiencing rapid urban expansion, and identify which are the main drivers, including spatial planning, in the resulting spatial patterns.

TL;DR: In this article, the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock- versus flow-based) was tested.

TL;DR: In this article, the authors examined the scale dependency of soil classification performance at the landscape scale using two machine-learning techniques commonly applied in DSM: artificial neural networks and random forest.

TL;DR: This study illustrates that the reflood event in the hydrological cycles in a wetland can significantly stimulate the activities of hydrolytic enzymes and microbiological communities in these soils.