The Special Issue (SI) "Remote Sensing in Vessel Detection and Navigation" highlighted a variety of topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. The 15 papers (from 23 submitted) were published.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602646 | PMC |
| http://dx.doi.org/10.3390/s20205841 | DOI Listing |
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Impacts of lateral conductive heat flow on ground temperature and implications for permafrost modeling.
Sci Rep
December 2024
Canada Centre for Remote Sensing, Canada Centre for Mapping and Earth Observation, Natural Resources Canada, 580 Booth Street, Ottawa, ON, K1A 0E4, Canada.
Permafrost ground temperature and its spatial distribution are usually calculated using one-dimensional models based on heat flow in the vertical direction. Here, we theoretically calculated the impacts of lateral conductive heat flow on ground temperature under equilibrium and transient conditions. The results show that lateral heat flow has strong impacts on ground temperature, especially in deep ground.
View Article and Find Full Text PDFLegume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass.
Sci Rep
December 2024
Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Legume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ground surveys based on dry matter assessments in seven meadow fields in Hokkaido, Japan. We propose a UAV-based LC (LC) estimation and mapping method using a land cover map from a simple linear iterative clustering (SLIC) algorithm and a random forest (RF) classifier.
View Article and Find Full Text PDFLake pulses driven by glacier melting and climate variability.
Sci Rep
December 2024
Gateway Antarctica, University of Canterbury, Christchurch, New Zealand.
The Tibetan Plateau is home to numerous glaciers that are important for freshwater supply and climate regulation. These glaciers, which are highly sensitive to climatic variations, serve as vital indicators of climate change. Understanding glacier-fed hydrological systems is essential for predicting water availability and formulating climate adaptation strategies.
View Article and Find Full Text PDFLung cancer risk and its potential association with PM in Bagmati province, Nepal-A spatiotemporal study from 2012 to 2021.
Front Public Health
December 2024
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Background: Despite examining the role of an association between particulate matter and lung cancer in low-income countries, studies on the association between long-term exposure to particulate matter and lung cancer risk are still contradictory. This study investigates the spatiotemporal distribution patterns of lung cancer incidence and potential association with particulate matter (PM) in Bagmati province, Nepal.
Methods: We performed a spatiotemporal study to analyze the LC - PM association, using LC and annual mean PM concentration data from 2012 to 2021.
Assessment of Atmospheric and Surface Energy Budgets Using Observation-Based Data Products.
Surv Geophys
April 2024
Department of Atmospheric and Oceanic Science, University of Wisconsin, Madison, WI 53706 USA.
Accurate diagnosis of regional atmospheric and surface energy budgets is critical for understanding the spatial distribution of heat uptake associated with the Earth's energy imbalance (EEI). This contribution discusses frameworks and methods for consistent evaluation of key quantities of those budgets using observationally constrained data sets. It thereby touches upon assumptions made in data products which have implications for these evaluations.
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