Results 241 to 250 of about 69,262 (347)
Integrating vegetation phenology in soil moisture change detection from ASAR wide swath images [PDF]
De Baets, Bernard +2 more
core +1 more source
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý +9 more
wiley +1 more source
Two decades of agricultural drought impacts: remote sensing insights into vegetation productivity and phenological change in semi-arid Botswana. [PDF]
Akinyemi FO, Graw V.
europepmc +1 more source
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song +3 more
wiley +1 more source
Reproductive phenology in mediterranean macchia vegetation
ARONNE, GIOVANNA, WILCOCK C. C.
openaire +3 more sources
Retrospective image analysis for long‐term demography using Google Earth imagery
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
Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats
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

