Results 71 to 80 of about 2,144 (204)

Mechanisms of Vegetation Community Self‐Organization Driven by Water Availability in Arid Northwest China

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Precipitation is scarce in arid regions, making water redistribution a key driver of vegetation patterns, especially for non‐zonal vegetation in oases. Nevertheless, the coupling and mutual feedback mechanism between water and vegetation distribution is complex, and it has not been fully addressed. Taking an arid region of Northwest China as a
Xing Li, Yong Wang, Yong Zhao, Long Yan, Fan He, Jiaqi Zhai, Jiaxin Li, Yuan Liu, Kuan Liu, Yajie Hu, Zhu Wang, Minjian Chen   +11 more
wiley   +1 more source

Mapping the distribution of natural ecosystems on peatlands through vegetation using the object-based image analysis (obia) method in bangko district, rokan hilir regency, riau.

IOP Conference Series: Earth and Environmental Science, 2022
Abstract Expansion of the use of natural ecosystems on peatlands is increasing rapidly in Bangko District, Rokan Hilir Regency, Riau. This utilization tends to cause damage to the natural ecosystem of peatlands which has a major impact on the local environment (in situ) and the surrounding environment (ex situ), so a mapping is needed to
M.S. Roganda, Sigit Heru Murti, Wirastuti Widyatmanti   +2 more
openaire   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, Volume 33, Issue 2, Page 397-421, April/June 2026.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

Ekstraksi Data Bangunan Dari Data Citra Unmanned Aerial Vehicle Menggunakan Metode Convolutional Neural Networks (Cnn) Dan Object-Based Image Analysis (Obia) (Studi Kasus: Desa Campurejo, Kabupaten Gresik) [PDF]

, 2021
Seiring meningkatnya pembangunan akibat pertumbuhan penduduk, diperlukan suatu pengawasan dalam pemanfaatan lahan secara tepat salah satunya melalui pemetaan sebaran bangunan.
Kinasih, Citra Ayu Sekar
core  

Studi Komparasi Teknik Klasifikasi berbasis Objek terhadap Citra Resolusi Spasial Menengah dan Tinggi untuk Pemetaan Tutupan Lahan di Sebagian Kabupaten Kulonprogo

Majalah Geografi Indonesia
Abstrak Tingginya kebutuhan informasi tutupan lahan dalam berbagai sektor perencanaan dapat disediakan secara time-and-cost effective melalui analisa citra penginderaan jauh, diantaranya menggunakan OBIA (object based image analysis).
Erisa Ayu Waspadi Putri, Projo Danoedoro, Nur Mohammad Farda   +2 more
doaj   +1 more source

Cross‐Border Land Tenure Detection With Satellite Imagery Data Using Siamese Neural Network: A Deep Learning Approach

Engineering Reports, Volume 8, Issue 4, April 2026.
Vector layer over raster layer. ABSTRACT Land disputes, particularly cross‐border issues, are a significant source of conflict in Ethiopia, where about 80% of the population depends on land‐based livelihoods and agriculture. These disputes significantly affect the rural population, whose primary source of income depends on land.
Abebaw Alem, Moges Azeze
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

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

Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California [PDF]

Remote Sensing, 2018
Remote sensing technology allows monitoring the progress of vegetation and crop phenology in large regions. Seasonal vegetation trends are commonly estimated from high temporal resolution but coarse spatial resolution satellite imagery, e.g., from MODIS-NDVI (Moderate Resolution Imaging Spectroradiometer—Normalized Difference Vegetation Index) time ...
Ana I. de Castro, Johan Six, Richard E. Plant, José M. Peña 0003   +3 more
openaire   +3 more sources