Results 121 to 130 of about 30,212 (267)

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, Garrett Cohen, Roberto Salguero‐Gómez   +2 more
wiley   +1 more source

Research on multi-sensor fusion architecture for highway area hazard monitoring based on UAVs. [PDF]

PLoS One
Wu H, Li S, Shan H, Lu Y, Hu K, Zheng W, Xie J.   +6 more
europepmc   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

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, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Field-based and close-range multispectral imaging dataset for Huanglongbing (HLB) detection in orange trees: A resource for machine learning and digital agriculture. [PDF]

Data Brief
Porto LR, Abdelghafour F, Tommaselli AMG, Imai NN.   +3 more
europepmc   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

MCF-YOLO: Consistency-Guided Cross-Modal Attention for Small-Object RGB-IR Detection. [PDF]

Sensors (Basel)
Yang X, Yang M, Xie X.
europepmc   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

Sustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

MSAFusion: A Lightweight Multispectral Pedestrian Detection Network with Multi-Scale and Adaptive Feature Fusion. [PDF]

J Imaging
Song Y, Zuo X, Qu C, Qian Q, Jiang D.
europepmc   +1 more source

A Generic Approach to Creating a National Soil Security Strategy

Sustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney, Pasquale Borrelli, Sandra J. Evangelista, Julia Feeth, Damien Field, Nicolas Francos, Irene Heuser, Anilkumar Hunakunti, Daniel Irving, Thilini Jayasekara, Bruce Lascelles, Fatima Maria de Souza Moreira, Budiman Minasny, Cristine L. S. Morgan, Wartini Ng, Julio C. Pachón Maldonado, Mercedes Román Dobarco, Amin Sharififar, Quentin Styc, Mara Thiene, David Watt, Jae E. Yang   +21 more
wiley   +1 more source

Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning. [PDF]

Front Plant Sci
Billah MM, Maimaitijiang M, Kaushal S, Millett B, Khan SN, Halder J, Kleinjan J, Sehgal SK.   +7 more
europepmc   +1 more source