Results 31 to 40 of about 2,783,412 (303)

Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (Bursaphelenchus xylophilus) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques

Forest Science and Technology, 2022
Pine wood nematode (Bursaphelenchus xylophilus) is an invasive pathogen in South Korea, where it has caused pine wilt disease (PWD) with extremely high mortality of native pine species (Pinus densiflora, Pinus thunbergii, and Pinus koraiensis). Since the
Wontaek Lim, Kwanghun Choi, Wonhee Cho, Byungwoo Chang, Dongwook W. Ko   +4 more
doaj   +1 more source

Spatio-Temporal Estimation of Biomass Growth in Rice Using Canopy Surface Model from Unmanned Aerial Vehicle Images

Remote Sensing, 2021
The awareness of spatial and temporal variations in site-specific crop parameters, such as aboveground biomass (total dry weight: (TDW), plant length (PL) and leaf area index (LAI), help in formulating appropriate management decisions.
Clement Oppong Peprah, Megumi Yamashita, Tomoaki Yamaguchi, Ryo Sekino, Kyohei Takano, Keisuke Katsura   +5 more
doaj   +1 more source

UPDATES OF ‘AW3D30’ ALOS GLOBAL DIGITAL SURFACE MODEL WITH OTHER OPEN ACCESS DATASETS

, 2020
. In 2016 we first completed the global data processing of digital surface models (DSMs) by using the whole archives of stereo imageries derived from the Panchromatic Remote sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land ...
J. Takaku, T. Tadono, M. Doutsu, F. Ohgushi, H. Kai   +4 more
semanticscholar   +1 more source

Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification

Remote Sensing, 2020
Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned aerial vehicle (UAV) dataset, detailed mapping of heterogeneous urban landscapes is extremely challenging because of the spectral similarity between classes.
M. B. Gibril, B. Kalantar, R. Al-Ruzouq, N. Ueda, V. Saeidi, Abdallah Shanableh, S. Mansor, H. Shafri   +7 more
semanticscholar   +1 more source

Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV

Earth Science Informatics, 2020
Soil erosion, rapid geomorphological change and vegetation degradation are major threats to the human and natural environment. Unmanned Aerial Systems (UAS) can be used as tools to provide detailed and accurate estimations of landscape change. The effect
N. Anders, Mike Smith, J. Suomalainen, E. Cammeraat, J. Valente, S. Keesstra   +5 more
semanticscholar   +1 more source

Documentation of Urn Graves of Knovíz Culture by RPAS

Geoinformatics FCE CTU, 2016
This paper deals with the documentation, positional determination of urn graves of the Knovíz culture (1200 - 1000 BC), and geometric and positional determination of tumulus at the archaeological site located near the village Ctiněves, in the Usti region
Jaroslav Šedina, Eliška Housarová, Eva Matoušková   +2 more
doaj   +1 more source

Optimization of UAV-Based Imaging and Image Processing Orthomosaic and Point Cloud Approaches for Estimating Biomass in a Forage Crop

Remote Sensing, 2022
Forage and field peas provide essential nutrients for livestock diets, and high-quality field peas can influence livestock health and reduce greenhouse gas emissions.
Worasit Sangjan, Rebecca J. McGee, Sindhuja Sankaran   +2 more
doaj   +1 more source

Forest Height Estimation Approach Combining P-Band and X-Band Interferometric SAR Data

Remote Sensing, 2022
Forest height is an essential parameter used to derive important information about forest ecosystems, such as forest above-ground biomass. In this article, a forest height estimation approach combining P-band and X-band interferometric synthetic aperture
Kunpeng Xu, Lei Zhao, Erxue Chen, Kun Li, Dacheng Liu, Tao Li, Zengyuan Li, Yaxiong Fan   +7 more
doaj   +1 more source

A Comparative Assessment of Multi-Source Generation of Digital Elevation Models for Fluvial Landscapes Characterization and Monitoring

Remote Sensing, 2023
Imaging and measuring the Earth’s relief with sensors mounted upon unmanned aerial vehicles is an increasingly frequently used and promising method of remote sensing. In the context of fluvial geomorphology and its applications, e.g., landform mapping or
Paweł Sudra, Luca Demarchi, Grzegorz Wierzbicki, Jarosław Chormański   +3 more
doaj   +1 more source

Land Cover Classification Using SegNet with Slope, Aspect, and Multidirectional Shaded Relief Images Derived from Digital Surface Model

J. Sensors, 2020
Most object detection, recognition, and classification are performed using optical imagery. Images are unable to fully represent the real-world due to the limited range of the visible light spectrum reflected light from the surfaces of the objects.
Dae Geon Lee, Y. Shin, Dong-Cheon Lee
semanticscholar   +1 more source