Zobrazeno 1 - 10
of 1 870
pro vyhledávání: '"Digital Surface Model"'
Autor:
J. Silverio Avila-Sanchez, Humberto L. Perotto-Baldivieso, Lori D. Massey, J. Alfonso Ortega-S, Leonard A. Brennan, Fidel Hernández
Publikováno v:
Ecological Processes, Vol 13, Iss 1, Pp 1-15 (2024)
Abstract Background Monitoring forage in livestock operations is critical to sustainable rangeland management of soil and ecological processes that provide both livestock and wildlife habitat. Traditional ground-based sampling methods have been widel
Externí odkaz:
https://doaj.org/article/999d23102bf34403880b9820099db763
Autor:
Victoria V. Zorina, Andrey L. Entin
Publikováno v:
Geography, Environment, Sustainability, Vol 17, Iss 2, Pp 26-35 (2024)
Imagery obtained from unmanned aerial vehicle (UAV) is widely used for land surface modelling. Recent research prove that digital elevation models (DEMs) created from UAV imagery are characterized by a high rate of accuracy and reliability. Most of t
Externí odkaz:
https://doaj.org/article/e73e98deb60349ab84b83462508185a0
Publikováno v:
Engineering Reports, Vol 6, Iss 10, Pp n/a-n/a (2024)
Abstract The Beishan Exploration Tunnel (BET) is a facility built to develop technologies associated with the safety of China's first high‐level radioactive nuclear waste(HLW) disposal. The surrounding rock discontinuity identification is a key res
Externí odkaz:
https://doaj.org/article/f19d73797ad947038cb1d4f3a311b9e3
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 2, Pp 398-407 (2024)
ABSTRACTIn many cases, the Digital Surface Models (DSMs) and Digital Elevation Models (DEMs) are obtained with Light Detection and Ranging (LiDAR) or stereo matching. As an active method, LiDAR is very accurate but expensive, thus often limiting its
Externí odkaz:
https://doaj.org/article/90c56422e4b049da8ed3bf0bf2ac8dec
Autor:
Amin Sedaghat, Nazila Mohammadi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 20245-20264 (2024)
Extracting digital surface model (DSM) from high-resolution satellite images remains a challenge in remote sensing and photogrammetry. In this article, a precise and efficient method for DSM extraction from satellite images, called SATellite-growing
Externí odkaz:
https://doaj.org/article/5a0615660a0b4fdebde28452aa351241
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10636-10647 (2024)
Digital surface model (DSM) is the fundamental data in various geoscience applications, such as city 3-D modeling and urban environment analysis. The freely available DSM often suffers from limited spatial resolution. Super-resolution (SR) is a promi
Externí odkaz:
https://doaj.org/article/3d8796d7f6bf4ff3b0ea813bb5d8a74d
Autor:
Morgan Hrynyk, Amir Behnamian, Sarah Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, Jon Pasher, Jason Duffe
Publikováno v:
Drone Systems and Applications, Vol 12, Iss , Pp 1-13 (2024)
This study produced a high-accuracy remotely piloted aircraft system (RPAS) imagery classification method for identifying the invasive reed Phragmites australis (Cav.) Trin. Ex Steud subsp. australis using random forest (RF) machine learning. RPAS im
Externí odkaz:
https://doaj.org/article/b2f1e4ef4b87422991b2f2fc519891d1
Publikováno v:
Journal of Water and Land Development, Iss No 59, Pp 135-144 (2024)
The integration of geodetic and photogrammetric data has become a new tool that has expanded the existing measurement capabilities, as well as it found its application outside the geodetic sector. As a result, over the past decades, the process of to
Externí odkaz:
https://doaj.org/article/5a174891bf324783a913b35b20fc7f18
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4309 (2024)
Preprocessing Synthetic Aperture Radar (SAR) data is a crucial initial stage in leveraging SAR data for remote sensing applications. Terrain correction, both radiometric and geometric, and the detection of layover/shadow areas hold significant import
Externí odkaz:
https://doaj.org/article/dbae1ee7012c4625b7f535100a2ed39d
Autor:
Yan Dai, Shuang’en Yu, Tao Ma, Jihui Ding, Kaiwen Chen, Guangquan Zeng, Airong Xie, Pingru He, Suhan Peng, Mengxi Zhang
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionUnmanned aerial vehicles (UAVs) equipped with visible and multispectral cameras provide reliable and efficient methods for remote crop monitoring and above-ground biomass (AGB) estimation in rice fields. However, existing research predomi
Externí odkaz:
https://doaj.org/article/51dacfe1172646399f104d859979e230