[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery

Y Hou, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …

Tower crane safety technologies: A synthesis of academic research and industry insights

AH Ali, T Zayed, RD Wang, MYS Kit - Automation in Construction, 2024 - Elsevier
Tower cranes (TCs) are vital equipment highly sought after on construction sites due to their
efficiency in handling and lifting heavy loads. Nevertheless, the use of TCs on construction …

Reference measurements in developing UAV systems for detecting pests, weeds, and diseases

J Kaivosoja, J Hautsalo, J Heikkinen, L Hiltunen… - Remote sensing, 2021 - mdpi.com
The development of UAV (unmanned aerial vehicle) imaging technologies for precision
farming applications is rapid, and new studies are published frequently. In cases where …

The role of earth observation in achieving sustainable agricultural production in arid and semi-arid regions of the world

SH Qader, J Dash, VA Alegana, NR Khwarahm… - Remote Sensing, 2021 - mdpi.com
Crop production is a major source of food and livelihood for many people in arid and semi-
arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions …

Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria

D Hermle, M Keuschnig, I Hartmeyer… - … Hazards and Earth …, 2021 - nhess.copernicus.org
While optical remote sensing has demonstrated its capabilities for landslide detection and
monitoring, spatial and temporal demands for landslide early warning systems (LEWSs) had …

Remote sensing data quality model: from data sources to lifecycle phases

Á Barsi, Z Kugler, A Juhász, G Szabó… - … Journal of Image and …, 2019 - Taylor & Francis
The importance of data quality assessment has significantly increased with the boom of
information technology and the growing demand for remote sensing (RS) data. The Remote …

Applicability of ordinary Kriging modeling techniques for filling satellite data gaps in support of coastal management

E Kostopoulou - Modeling Earth Systems and Environment, 2021 - Springer
Effective coastal zone management relies on accurate and sound data of environmental
parameters. In many cases, however, lack of pertinent environmental variable datasets …

SAT-ETL-Integrator: an extract-transform-load software for satellite big data ingestion

BEB Semlali, C El Amrani… - Journal of Applied Remote …, 2020 - spiedigitallibrary.org
Satellite data are used in several environmental applications, particularly in air quality
supervising, climate change monitoring, and natural disaster predictions. However, remote …

Tree crown segmentation and species classification in a wet eucalypt forest from airborne hyperspectral and LiDAR data

BKV Yadav, A Lucieer, SC Baker… - International Journal of …, 2021 - Taylor & Francis
To sustainably manage forest biodiversity and monitor changes in species patterning,
mapping the spatial distribution of tree species is indispensable. Remote sensing can …

High-standard farmland destruction monitoring by high-resolution remote sensing methods: a 2017–2018 case study of Hebei and Guangdong, China

AM Mutelo, C Zhen, S Wei, SL Hamukwaya - … Monitoring and Assessment, 2023 - Springer
Remote sensing has emerged as a new technique for collecting farmland data due to its
rapid advancement, rising popularity, and application in social production practice. In order …