Remote Sensing in Ecology and Conservation, EarlyView.Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
Retrospective image analysis for long‐term demography using Google Earth imagery
Remote Sensing in Ecology and Conservation, EarlyView.We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa +2 more
wiley +1 more source
Deciphering of groundwater potential zones in hard rock terrain using GIS technology with AHP statistical methods: A case study of Nilgiri, Tamil Nadu, India. [PDF]
Sci RepMurugesan B +3 more
europepmc +1 more source
Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats
Remote Sensing in Ecology and Conservation, EarlyView.Illustrated workflow of the proposed citizen‐to‐robot monitoring pipeline: (i) expert‐validated citizen observations are translated into AI models, (ii) deployed on a ground‐based robotic platform for proximal sensing of coastal dune habitats, (iii) enabling standardized detection of ecological targets (e.g., Pancratium maritimum & Brithys crini), and (
Giovanni Di Lorenzo +5 more
wiley +1 more source
An autoencoder driven deep learning geospatial approach to flood vulnerability analysis in the upper and middle basin of river Damodar. [PDF]
Sci RepThappitla RS, Villuri VGK, Kumar S.
europepmc +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
Automated and quantitative characterization of benthic habitat and associated biological communities of an unknown southeast Pacific seamount. [PDF]
PLoS OneNiyazi Y +7 more
europepmc +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province. [PDF]
PLoS OneHan M, Yang Y.
europepmc +1 more source