Results 81 to 90 of about 2,144 (204)

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  

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

Assessing Land-Use and Land-Cover Change (LULCC) Between 2009 and 2019 Using Object-Based Image Analysis (OBIA) in Cameron Highlands, Malaysia

IOP Conference Series: Earth and Environmental Science, 2020
Abstract Cameron Highlands has witnessed multiple land encroachment activities as well as repeated deforestation leading to extensive land-use and land-cover change (LULCC) over the last 6 decades. This is due to the heightened increase in demand for urban growth as well as agricultural activities and tourism industries.
J A Darren How, I Mohd Hasmadi, M Farrah Melissa   +2 more
openaire   +1 more source

UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning [PDF]

, 2015
Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist.
Gerke, M., Kerle, N.; id_orcid, M. Gerke, N. Kerle, J. Fernandez Galarreta, Fernandez Galarreta, J., Kerle, N.   +6 more
core   +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

Evaluating of applying image fusion and optimizing techniques for improving the scale parameter of segmentation in object-based image analysis approach [PDF]

نشریه جغرافیا و برنامه‌ریزی, 2018
Segmentation is one of the basic method of the information extraction within the object-based image analysis (OBIA) approach. This process separates initial and main objects which are basis for OBIA.
bakhtiar feizizadeh, seyed mohammad hassanitabar, Jafar Jafarzadeh   +2 more
doaj  

Object-Based Image Analysis of Downed Logs in Disturbed Forested Landscapes Using Lidar

Remote Sensing, 2011
Downed logs on the forest floor provide habitat for species, fuel for forest fires, and function as a key component of forest nutrient cycling and carbon storage. Ground-based field surveying is a conventional method for mapping and characterizing downed
Maggi Kelly, Samuel D. Blanchard, Marek K. Jakubowski   +2 more
doaj   +1 more source

Satellite Screening of Tailings Dams With Deep Learning Model

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Tailings dam management is increasingly critical as mining operations extend to greater depths and generate more complex waste streams. To support scalable monitoring, this study establishes a harmonized benchmark of YOLOv5, YOLOv6, YOLOv8, and YOLOv10 for automated detection of tailings dams using high‐resolution satellite imagery.
Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Chao Pan   +3 more
wiley   +1 more source

Trees Outside Forests (TOFs): A Global Review of Methodological Advances, Limitations, and Framework Innovations

International Journal of Forestry Research, Volume 2026, Issue 1, 2026.
Trees outside forests (TOFs) represent an important natural and anthropogenic resource that contributes significantly to biodiversity conservation, climate resilience, and the protection of forest genetic resources (FGRs). Despite their ecological and socioeconomic importance, TOFs are increasingly declining due to land‐use changes, urbanization ...
Aman Dabral, Pawan Kumar Thakur, Maneesh S. Bhandari, Vishal Johar, Vinita Bisht, Shailesh Pandey, Rama Kant, Rajendra K. Meena, Himanshu Saini, Poulami Jha   +9 more
wiley   +1 more source

Yield and yield components responses to plant density in cowpea grown in two savannah agro‐ecologies in Nigeria

Agrosystems, Geosciences &Environment, Volume 8, Issue 4, December 2025.
Abstract Gap‐filling is used to mitigate yield losses in different legumes. There is scanty information on this mechanism of yield compensation in the cowpea [Vigna unguiculata (L.) Walp]. This study investigated responses of yield and yield components to plant density in some accessions of cowpea at Minjibir and Shika locations.
Timothy Aku Otsanjugu Namo, Ifeoluwa Simeon Odesina, Tersur Theophilus Akpensuen, Grace Obaiya Utoblo, Ousmane Boukar, Patrick Obia Ongom, Gideon Oluwaseye Oyebode   +6 more
wiley   +1 more source