[Research Article] A tool for crop phenology metrics analysis from big Earth observation data
Peer-Reviewed Publication
Updates every hour. Last Updated: 15-Jun-2026 18:16 ET (15-Jun-2026 22:16 GMT/UTC)
A new study published in Big Earth Data presents phenological metrics derived from Earth observation (EO) satellite time series—such as greening onset, senescence, and growing season length—which are essential for crop monitoring but challenged by the massive scale of EO data exceeding local processing capacities, and introduces a free, open-source Web Crop Phenology Metrics Service (WCPMS) built on the Brazil Data Cube platform for server-side extraction from large datasets. It further demonstrates the tool’s effectiveness by estimating soybean sowing dates in Brazil using phenological metrics and validating the results against field data.
With global population growth driving unprecedented infrastructure demand, cement production, a major carbon dioxide (CO2) emitter, requires sustainable alternatives. A study by Dr Fakhruddin from Hasanuddin University presents a greener concrete mix using sugarcane waste. Results show that Class C fly ash-based geopolymer concrete with 5% sugarcane bagasse ash replacement and polypropylene fibers improved compressive strength by 41% while reducing CO2 emissions by 25–30% compared to traditional cement.
High concentrations of free fatty acid (FFA) in ketotic dairy cows activate endoplasmic reticulum (ER) stress pathways, contributing to mammary epithelial cell apoptosis and reduced milk yield. The study sets the stage for in vivo trials to validate ER stress inhibitors like Tauroursodeoxycholate (TUDCA) as practical solutions for managing ketosis and enhancing dairy cows health.