Results 81 to 90 of about 4,959 (212)

A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery

Remote Sensing, 2021
Conservation tillage methods through leaving the crop residue cover (CRC) on the soil surface protect it from water and wind erosions. Hence, the percentage of the CRC on the soil surface is very critical for the evaluation of tillage intensity.
Payam Najafi, Bakhtiar Feizizadeh, Hossein Navid   +2 more
doaj   +1 more source

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

High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques [PDF]

, 2019
The need for the olive farm modernization have encouraged the research of more efficient crop management strategies through cross-breeding programs to release new olive cultivars more suitable for mechanization and use in intensive orchards, with high ...
Casanova Lerma, Laura, Castro Mejías, Ana Isabel de, Jiménez Brenes, Francisco M., Jiménez, María Rocío, López Granados, Francisca, Morales Sillero, Ana María, Rallo Morillo, Pilar, Suárez García, María Paz, Torres Sánchez, Jorge   +8 more
core   +2 more sources

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

Mapping of Submerged Aquatic Vegetation in Rivers From Very High Resolution Image Data, Using Object Based Image Analysis Combined with Expert Knowledge [PDF]

, 2016
The use of remote sensing for monitoring of submerged aquatic vegetation (SAV) in fluvial environments has been limited by the spatial and spectral resolution of available image data.
A Hauet, A Lucieer, A Mui, AS Laliberte, AS Laliberte, AS Woodget, CM Roelfsema, D Arvor, D Tiede, E Husson, F Visser, F Visser, Fleur Visser, G Verhoeven, GJJ Verhoeven, GM Foody, I Dronova, I Dronova, J Radoux, JD Luscier, Jonas Schoelynck, K Anderson, Kerst Buis, L Drǎguţ, LP Rampi, M Belgiu, M Lucas, NS Anders, P Olofsson, S d’Oleire-Oltmanns, S Kay, T Blaschke, T Blaschke, T Blaschke, V Klemas, Veerle Verschoren, X Li   +36 more
core   +2 more sources

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

Sentinel 1a-2a Incorporating an Object-Based Image Analysis Method for Flood Mapping and Extent Assessment [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study presents flood extent extraction and mapping from Sentinel images. Here we suggest an algorithm for extracting flooded areas from object-based image analysis (OBIA) using Sentinel-1A and Sentinel-2A images to map and assess the flood extent ...
D. Azhand, D. Azhand, S. Pirasteh, M. Varshosaz, M. Varshosaz, H. Shahabi, H. Shahabi, S. Abdollahabadi, H. Teimouri, M. Pirnazar, X. Wang, W. Li   +11 more
doaj   +1 more source

Detecting Long-Term Urban Forest Cover Change and Impacts of Natural Disasters Using High-Resolution Aerial Images and LiDAR Data

Remote Sensing, 2020
Urban forests provide ecosystem services; tree canopy cover is the basic quantification of ecosystem services. Ground assessment of the urban forest is limited; with continued refinement, remote sensing can become an essential tool for analyzing the ...
Raoul Blackman, Fei Yuan
doaj   +1 more source

Fusion of pixel-based and object-based features for classification of urban hyperspectral remote sensing data [PDF]

, 2014
Hyperspectral imagery contains a wealth of spectral and spatial information that can improve target detection and recognition performance. Typically, spectral information is inferred pixel-based, while spatial information related to texture, context and ...
Devriendt, Flore, Gautama, Sidharta, Liao, Wenzhi, Philips, Wilfried, Pizurica, Aleksandra, Vancoillie, Frieke   +5 more
core  

Pengembangan Model Identifikasi Habitat Bentik Menggunakan Pendekatan Segmentasi Object-Based Image Analysis (OBIA) dan Algoritma Machine Learning (Studi Kasus: Pulau Pari, Kepulauan Seribu)

Jurnal Kelautan Nasional, 2022
Identifikasi dan klasifikasi habitat bentik di perairan dangkal menggunakan citra satelit semakin berkembang. Pengembangan model dalam mengidentifikasi objek habitat bentik sangat penting untuk mengisi kebutuhan pemetaan habitat bentik dengan akurasi yang memadai.
Anang Dwi Purwanto, Andi Ibrahim, Azura Ulfa, Ety Parwati, Achmad Supriyono   +4 more
openaire   +1 more source