Results 151 to 160 of about 419,292 (356)

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini   +3 more
wiley   +1 more source

SimWorld – Automatic Generation of realistic Landscape models for Real Time Simulation Environments – a Remote Sensing and GIS-Data based Processing Chain

open access: yes, 2007
The interdisciplinary project “SimWorld” - initiated by the German Aerospace Center (DLR) - aims to improve and to facilitate the generation of virtual landscapes for driving simulators.
Stöbe, Markus   +4 more
core  

Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl   +8 more
wiley   +1 more source

Signal Processing Methods to Improve Ocean Surface Wave Estimation from a High Frequency Surface Wave Radar [PDF]

open access: yes, 2011
High frequency surface wave radars are operated as a remote sensor to measure ocean surface parameters to ranges exceeding 200-300 km from the coastline.
Wang, Wei
core  

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher   +4 more
wiley   +1 more source

A Fast Back‐Projection Imaging Method for GEO SAR Geometric Distortion Calibration Based on Dynamic Selection of Local Sub‐Aperture Images Using Coarse DEM

open access: yesIET Radar, Sonar & Navigation
Geosynchronous synthetic aperture radar (GEO SAR) provides extensive beam coverage and strong continuous observation capabilities, making it a research focus in the remote sensing.
Jingjing Ti   +3 more
doaj   +1 more source

THE USE OF C-BAND SYNTHETIC APERTURE RADAR SATELLITE DATA FOR RICE PLANT GROWTH PHASE IDENTIFICATION

open access: yes, 2019
Identification of the rice plant growth phase is an important step in estimating the harvest season and predicting rice production. It is undertaken to support the provision of information on national food availability.
Kushardono, Dony, Lestari, Anugrah Indah
core   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin   +4 more
wiley   +1 more source

MIMO-SAR and the Orthogonality Confusion

open access: yes, 2012
This paper reviews radar architectures that employ multiple transmit and multiple receive channels to improve the performance of synthetic aperture radar (SAR) systems.
A. Patyuchenko   +21 more
core   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

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