Results 91 to 100 of about 2,518 (219)

Direct Sensor Orientation of a Land-Based Mobile Mapping System

Sensors, 2011
A land-based mobile mapping system (MMS) is flexible and useful for the acquisition of road environment geospatial information. It integrates a set of imaging sensors and a position and orientation system (POS). The positioning quality of such systems is
Yu-Hua Li, Yi-Hsing Tseng, Ki-In Bang, Kai-Wei Chiang, Ana P. Kersting, Ayman F. Habib, Jiann-Yeou Rau   +6 more
doaj   +1 more source

Terrestrial laser scanners pre-processing: registration and georeferencing

, 2014
Terrestrial laser scanner (TLS) is a non-contact sensor, optics-based instrument that collects three dimensional (3D) data of a defined region of an object surface automatically and in a systematic pattern with a high data collecting rate.
Ariff, Mohd Farid Mohd, Chong, Albert K., Luh, Lau Chong, Idris, Khairulnizam M., Majid, Zulkepli, Aspuri, Anuar, Abbas, Mohd Azwan, Setan, Halim   +7 more
core   +2 more sources

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Rhododendron diversity patterns provide new insights for conserving China's montane flora

Journal of Integrative Plant Biology, EarlyView.
Integrating distribution, phylogenetic, and functional trait data for 603 Rhododendron species in China identified significant conservation hotspots of multidimensional diversity, particularly in the Hengduan Mountains. Climate seasonality and topographic heterogeneity jointly influenced these patterns; however, notable conservation gaps remained ...
Ming‐Shu Zhu, Zhi‐Qiong Mo, Ya‐Yuang Luo, Chao‐Nan Fu, Ting Zhang, Michael Möller, Jie Cai, Wei Zheng, De‐Zhu Li, Lian‐Ming Gao   +9 more
wiley   +1 more source

Integrated GNSS Attitude Determination and Positioning for Direct Geo-Referencing

Sensors, 2014
Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System (GNSS) receivers.
Nandakumaran Nadarajah, Jens-André Paffenholz, Peter J. G. Teunissen   +2 more
doaj   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Terrestrial laser scanning : Error sources, self-calibration and direct georeferencing

, 2009
During the last decade, terrestrial laser scanning (TLS) has appeared as a new surveying technique. Its proper use requires good knowledge of the error sources, comprehensive description of which is currently lacking.
Reshetyuk, Yuriy,
core  

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
To reduce the high cost of manually detecting and removing gluten-containing grains from oat crops, drone imaging and deep learning can be used to automate the detection process.
R. Näsi, R. A. Oliveira, S. Rua, E. Khormashahi, A. Päivänsalo, O. Niemeläinen, E. Honkavaara, M. Niskanen   +7 more
doaj   +1 more source