Researchers have developed advanced, non-destructive models to measure the aboveground biomass and volume of Populus euphratica, a keystone tree in desert riparian forests.

The ability to monitor soil moisture at high resolutions is crucial for improving agricultural productivity, water resource management, and environmental forecasting. 

A new study presents satellite pixel-scale estimation models for aquatic vegetation coverage in lakes, addressing long-standing challenges in ecological monitoring. 

Conventional wearable sweat sensors utilize hydrophobic ion-selective membranes (ISMs) and require tight contact and adhesives to achieve signal stability. However, this can lead to user discomfort and skin-related diseases, necessitating the development of non-contact alternatives. In a new study, inspired by the self-cleaning behavior of rose petals, researchers developed novel ISM-based sweat sensors that feature enhanced signal stability and performance, avoid skin contact, and are reusable, making them practical for daily use.

The latest phase of the Radiation Transfer Model Inter-comparison (RAMI-V) aimed to improve the accuracy of radiative transfer models (RTMs) used for simulating radiation measurements over plant canopy surfaces.