Results 91 to 100 of about 4,959 (212)

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, Volume 13, Issue 1, January‐June 2026.
Short Abstract This study evaluates the effectiveness of UAV multispectral imagery combined with machine learning techniques for mapping neglected and underutilised crop species (NUS), specifically taro and sweet potato in smallholder farming systems in South Africa.
Mishkah Abrahams, Mbulisi Sibanda, Timothy Dube, James Magidi, Richard Kunz, Vimbayi G. P. Chimonyo, Alistair D. Clulow, Tafadzwanashe Mabhaudhi   +7 more
wiley   +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

The Development of Interpretataion Method for Remote Sensing Imagery in Determining the Candidate of Landslide in Leitimur Paninsula, Ambon Island [PDF]

, 2017
Remote sensing is one of the methods used to address the problem of research on spatial data acquisition technologies and is also acquiring the problems of territorial and land resource management.
Danoedoro, P. (Projo), Puturuhu, F. (Ferad), Sartohadi, J. (Junun), Srihadmoko, D. (Danang)   +3 more
core   +3 more sources

Example of object based image analysis applied to coarse resolution images. Application to landscape classification in France [PDF]

, 2012
Object based image analysis (OBIA) is a powerful technique for classification of remote sensing images. Although it is generally used with very high resolution images, its application is not linked to a particular spatial resolution, and OBIA can be ...
Bisquert, Mar, Bégué, Agnès, Deshayes, Michel   +2 more
core  

Fuzzy segmentation for geographic object-based image analysis [PDF]

, 2009
Image segmentation partitions remote sensing images into image objects before assigning them to categorical land cover classes. Current segmentation methods require users to invest considerable time and effort in the search for meaningful image objects ...
Elsner, Paul, Lizarazo, Ivan
core   +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

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

Land cover map 2007: using OBIA for LCM2007 [PDF]

, 2011
Land cover map 2007 (LCM2007) is an object-based land cover map for the UK containing around 10 million objects. The LCM2007 spatial framework is based on the generalisation of national cartography products (OS MasterMap for Great Britain and Ordnance ...
Marston, Chris, Morton, Dan, Rowland, Clare, Wood, Claire   +3 more
core  

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

Improving Olive Yield Prediction Using Landsat Multispectral Data and Advanced Ensemble Learning in Tunisia

Journal of Sustainable Agriculture and Environment, Volume 4, Issue 4, December 2025.
ABSTRACT Olive cultivation is a key agricultural activity in Mediterranean regions, yet its yield is highly sensitive to the impacts of climate change. Accurately predicting olive yield using optical remote sensing and data‐driven models remains a challenging task.
Mohamed Kefi, Tien Dat Pham, Thin Nguyen, Mark G. Tjoelker, Viola Devasirvatham, Kenichi Kashiwagi   +5 more
wiley   +1 more source