Results 61 to 70 of about 2,144 (204)

Forward Image Registration for Higher Level Interpretation of Zircon Provenance Based on Combined CL, U/Pb Age, and Geochemical Data

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract Most detrital zircon studies generate grayscale cathodoluminescence (CL) images, U/Pb dates, and variably extensive trace element concentration data. Yet the combined information contained in these data is rarely used for a higher‐level interpretation of zircon provenance, which still heavily relies on comparison of sample‐wide U/Pb age ...
Marco A. Acevedo Zamora, Balz S. Kamber, John T. Caulfield, Charlotte M. Allen, Justin S. Freeman   +4 more
wiley   +1 more source

Geographic Object-Based Image Analysis: A Primer and Future Directions

Remote Sensing, 2020
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects.
Maja Kucharczyk, Geoffrey J. Hay, Salar Ghaffarian, Chris H. Hugenholtz   +3 more
doaj   +1 more source

Reducing Nitrous Oxide Emissions Associated With Fertiliser Using Nitrogen Enriched Biochar

European Journal of Soil Science, Volume 77, Issue 4, July–August 2026.
ABSTRACT There is a need for agricultural practices that decrease nitrous oxide emissions while sustaining yields for food production. In the current paper, we investigate the possibility of reducing emissions by co‐applying or enriching biochar with mineral nitrogen and using it as a fertiliser.
Jonathan H. Lindhardt, Karoline Schnorr, Sander Bruun, Lars S. Jensen   +3 more
wiley   +1 more source

Simultaneous Generation of Topographic Models and Manning Roughness Coefficient Maps From Tri‐Stereoscopic Satellite Images: Application to the Huarmey River, Peru

The Photogrammetric Record, Volume 41, Issue 195, July/September 2026.
Tri‐stereoscopic PeruSat‐1 imagery enables the simultaneous generation of 0.70 m‐resolution topography and spatially distributed Manning roughness maps, achieving 0.434 m vertical accuracy. Integrated into HEC‐RAS, these products provide consistent, high‐resolution inputs that improve hydraulic modelling and flood risk assessment in data‐scarce river ...
Jorge L. Miranda‐Pita, Pedro A. Plaza‐Álvarez, Jorge Lopez‐Rebollo, Diego González‐Aguilera   +3 more
wiley   +1 more source

Coastal Wetland Vegetation Classification Using Pixel-Based, Object-Based and Deep Learning Methods Based on RGB-UAV

Land, 2022
The advancement of deep learning (DL) technology and Unmanned Aerial Vehicles (UAV) remote sensing has made it feasible to monitor coastal wetlands efficiently and precisely.
Jun-Yi Zheng, Ying-Ying Hao, Yuan-Chen Wang, Si-Qi Zhou, Wan-Ben Wu, Qi Yuan, Yu Gao, Hai-Qiang Guo, Xing-Xing Cai, Bin Zhao   +9 more
doaj   +1 more source

Remote Sensing for Monitoring and Managing Urban Soils in Coastal Areas: A Review

Soil Use and Management, Volume 42, Issue 3, July‐September 2026.
ABSTRACT Coastal urban soils (CUS) exhibit distinct physical–chemical properties due to the combined effects of intense interaction among anthropogenic and natural pressures, resulting in a unique, complex and highly vulnerable system. While CUS are vital for the urban coastal environment and its inhabitants, numerous factors significantly threaten ...
Antonio Ganga, Alessandro Auzzas, Rafael Barroca Silva, Gian Franco Capra   +3 more
wiley   +1 more source

Biofortification of finger millet with zinc and iron under biochar amendment: Effects of soil and foliar fertilization on yield and grain quality

Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
Abstract Biofortification is an effective strategy to improve the micronutrient content of staple crops. However, biofortification of finger millet (Eleusine coracana L.) with zinc (Zn) and iron (Fe) has not been adequately investigated under biochar amendment.
Alinafe Manjawire, Peter Omara, Vegard Martinsen, Rajiv Kumar Srivastava, Fred Otim, Tonny L. Provin, Ronnie Schnell, Alfred Obia   +7 more
wiley   +1 more source

Object based image analysis for remote sensing

, 2010
Remote sensing imagery needs to be converted into tangible information which can be utilised in conjunction with other data sets, often within widely used Geographic Information Systems (GIS). As long as pixel sizes remained typically coarser than, or at
Blaschke, T.
core   +1 more source

Assessing the Impact of Spatial Resolution and Hyperparameters on Automatic Agricultural Parcel Delineation Using the Segment Anything Model With Multi‐Resolution and Super‐Resolved Satellite Imagery

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Accurate and automatic determination of the boundaries of agricultural parcels is essential for planning sustainable agricultural policies, managing agricultural production, tracking products and enabling precision farming applications. In recent years, pre‐trained visual base models with zero‐shot segmentation capabilities, such as the ...
Fatih Fehmi Şimşek, Melih Altay, Kaan Kalkan, Mehmet Cengiz Arslanoğlu   +3 more
wiley   +1 more source

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