Results 91 to 100 of about 48,735,301 (199)

Modeling Benthic Animals in Space and Time Using Bayesian Point Process With Cross Validation: The Case of Holoturians

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Holothurian populations in the Mediterranean are relatively understudied, with limited knowledge of their spatial distribution, habitat preferences, and ecological dynamics, making their monitoring a key challenge for ecosystem assessment and sustainable management.
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio, Giovanna Jona Lasinio, Edoardo Casoli, Stefano Moro, Daniele Ventura   +6 more
wiley   +1 more source

Refining classification of complex agroforestry mosaic landscape from drone‐based imagery: Implications for landscape management and conservation

Journal of Applied Ecology, Volume 63, Issue 2, February 2026.
Together, these results show that significant differences in landscape classification between high‐resolution satellite and drone imagery can substantially change our understanding of slow loris habitat availability and use. Thus, it can be beneficial to use the highest resolution imagery to characterize species' habitats, whenever possible ...
Leslie Annette Paige, Katherine Hedger, Esther Adinda, Endah Sulistyawati, Alexander S. Bradley, Bill Winston, Karen E. DeMatteo, K. A. I. Nekaris, Emily E. Wroblewski   +8 more
wiley   +1 more source

Multispectral Data and LiDAR for Enhanced Georeferencing of Gdanska Glowa's 17th‐Century Fortifications

Archaeometry, Volume 68, Issue 1, Page 94-106, February 2026.
ABSTRACT This study presents a novel remote sensing method to detect 17th‐century environmental elements associated with the historical fortifications of Gdanska Glowa in Poland. By integrating 10‐band multispectral imaging, high‐resolution (1 m) digital elevation models, vegetation metrics and random forest classification within Google Earth Engine ...
Pawel Tysiac, Joanna Dąbal, Tadeusz Widerski   +2 more
wiley   +1 more source

Pattern discovery for object categorization [PDF]

, 2008
This paper presents a new approach for the object categorization problem. Our model is based on the successful `bag of words' approach. However, unlike the original model, image features (keypoints) are not seen as independent and orderless. Instead, our
Zhang, Edmond Yiwen, Michael Mayo, Edmond Zhang, Mayo, Michael   +3 more
core   +1 more source

High-resolution mapping of forest carbon stock using Object-Based Image Analysis (OBIA) technique

, 2021
This study assessed and mapped the aboveground tree carbon stock using very high-resolution satellite imagery (VHRS)—WorldView-2 in Barkot forest of Uttarakhand, India.
Pandey, S. K., Muminov, A., Srinet, R., Ghosh, Surajit, Nandy, S., Sharma, A., Chand, N.   +6 more
core   +1 more source

Integration of Superpixel Segmentation, Convolutional Neural Networks and Vision Transformers for Automatic Benthic Habitats Classification

Remote Sensing
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have achieved significant success in various computer vision applications, including the classification of high-resolution imagery.
Hassan Mohamed, Kazuo Nadaoka
doaj   +1 more source

Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms

Remote Sensing, 2015
For identification of forested landslides, most studies focus on knowledge-based and pixel-based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated methods and object-based image analysis (OBIA).
Xianju Li, Xinwen Cheng, Weitao Chen, Gang Chen, Shengwei Liu   +4 more
doaj   +1 more source

Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa

Geo: Geography and Environment
Accurate mapping of neglected and underutilised crop species (NUS) in complex smallholder fields is critical for enhancing food security, yet it remains a significant challenge due to landscape heterogeneity, spectral similarities between crops and the ...
Mishkah Abrahams, Mbulisi Sibanda, Timothy Dube, James Magidi, Richard Kunz, Vimbayi G. P. Chimonyo, Alistair D. Clulow, Tafadzwanashe Mabhaudhi   +7 more
doaj   +1 more source

A Shadow Geometry Approach for Olive Tree Canopy Volume Estimation Using WorldView-3 Multispectral Imagery

Remote Sensing
The accurate estimation of tree canopy volume is fundamental in precision agriculture for quantifying vegetation structure, biomass, and productivity in perennial cropping systems.
Raffaella Brigante, Valerio Baiocchi, Laura Marconi, Alessandra Vinci, Roberto Calisti, Luca Regni, Fabio Radicioni, Primo Proietti   +7 more
doaj   +1 more source

Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data

Remote Sensing, 2015
Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of remote sensing imagery is particularly useful for agricultural land classification.
Qingting Li, Cuizhen Wang, Bing Zhang, Linlin Lu   +3 more
doaj   +1 more source