Soil spectroscopy is a widely used method for estimating soil properties that are important to environmental and agricultural monitoring. However, a bottleneck to its more widespread adoption is the need for establishing large reference datasets for training machine learning (ML) models, which are called soil spectral libraries (SSLs). Similarly, the prediction capacity of new samples is also subject to the number and diversity of soil types and conditions represented in the SSLs.
View Article and Find Full Text PDFThe paper describes the production and evaluation of global grassland extent mapped annually for 2000-2022 at 30 m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland classes was produced by using GLAD Landsat ARD-2 image archive, accompanied by climatic, landform and proximity covariates, spatiotemporal machine learning (per-class Random Forest) and over 2.3 M reference samples (visually interpreted in Very High Resolution imagery).
View Article and Find Full Text PDFProcessing large collections of earth observation (EO) time-series, often petabyte-sized, such as NASA's Landsat and ESA's Sentinel missions, can be computationally prohibitive and costly. Despite their name, even the Analysis Ready Data (ARD) versions of such collections can rarely be used as direct input for modeling because of cloud presence and/or prohibitive storage size. Existing solutions for readily using these data are not openly available, are poor in performance, or lack flexibility.
View Article and Find Full Text PDFThe authors report a case of a sexual serial killer responsible for four homicides (one homosexual and three prostitutes) over a 12-year period. The perpetrator was diagnosed with a severe personality disorder and necrophilia at the time of the crimes and was declared partially mentally impaired and dangerous to societal security by the Court of Jurisdiction for these crimes. The offender served 22 years in prison, including half of the detention in an OPG (High Security Forensic Psychiatry Hospital) receiving psychiatric treatment.
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