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Remote Sensing, Volume 15, Issue 8

April-2 2023 - 261 articles

Cover Story: This paper presents and discusses two new methods based on PRISMA hyperspectral imagery to extract satellite-derived shorelines (SDS) along low-lying coasts. The first method analyses band-averaged spectral signatures along transverse beach transects. In contrast, the second method uses all the spectral information in the image by detecting spectral signatures using k-means clustering to apply the fully constrained linear spectral (FCLS) unmixing and spatial attraction model algorithms. The results are validated on three Mediterranean beaches in Italy and Greece. The resulting error is of the order of 6–7 m. The paper also analyses the ability of the methods to identify different shoreline proxies. The results demonstrate that hyperspectral imagery can accurately map shorelines that represent essential information for coastal management. View this paper
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Articles (261)

  • Article
  • Open Access
7 Citations
3,025 Views
22 Pages

A Hybrid Chlorophyll a Estimation Method for Oligotrophic and Mesotrophic Reservoirs Based on Optical Water Classification

  • Xiaoyan Dang,
  • Jun Du,
  • Chao Wang,
  • Fangfang Zhang,
  • Lin Wu,
  • Jiping Liu,
  • Zheng Wang,
  • Xu Yang and
  • Jingxu Wang

21 April 2023

Low- and medium-resolution satellites have been a relatively mature platform for inland eutrophic water classification and chlorophyll a concentration (Chl-a) retrieval algorithms. However, for oligotrophic and mesotrophic waters in small- and medium...

  • Communication
  • Open Access
2 Citations
3,344 Views
12 Pages

Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production

  • Iolanda Filella,
  • Adrià Descals,
  • Manuela Balzarolo,
  • Gaofei Yin,
  • Aleixandre Verger,
  • Hongliang Fang and
  • Josep Peñuelas

21 April 2023

Monitoring gross primary production (GPP) is necessary for quantifying the terrestrial carbon balance. The near-infrared reflectance of vegetation (NIRv) has been proven to be a good predictor of GPP. Given that radiation powers photosynthesis, we hy...

  • Article
  • Open Access
7 Citations
4,307 Views
18 Pages

21 April 2023

Steel rebar corrosion is one of the main causes of the deterioration of engineering reinforced structures. Steel rebar in concrete is normally in a non-corroding, passive condition, but these conditions are not always achieved in practice, due to whi...

  • Article
  • Open Access
3 Citations
2,987 Views
31 Pages

21 April 2023

Urbanization has led to rapid growth in energy consumption and CO2 emissions in the building sector. Building operation emissions (BCEs) are a major part of emissions in the building life cycle. Existing studies have attempted to estimate fine-scale...

  • Article
  • Open Access
32 Citations
4,453 Views
19 Pages

21 April 2023

The infection of Apple mosaic virus (ApMV) can severely damage the cellular structure of apple leaves, leading to a decrease in leaf chlorophyll content (LCC) and reduced fruit yield. In this study, we propose a novel method that utilizes hyperspectr...

  • Article
  • Open Access
6 Citations
2,227 Views
23 Pages

MUREN: MUltistage Recursive Enhanced Network for Coal-Fired Power Plant Detection

  • Shuai Yuan,
  • Juepeng Zheng,
  • Lixian Zhang,
  • Runmin Dong,
  • Ray C. C. Cheung and
  • Haohuan Fu

21 April 2023

The accurate detection of coal-fired power plants (CFPPs) is meaningful for environmental protection, while challenging. The CFPP is a complex combination of multiple components with varying layouts, unlike clearly defined single objects, such as veh...

  • Article
  • Open Access
5 Citations
3,195 Views
22 Pages

21 April 2023

Agricultural crop production was affected worldwide due to the variability of weather causing floods or droughts. In climate change impacts, flood becomes the most devastating in deltaic regions due to the inundation of crops within a short period of...

  • Technical Note
  • Open Access
2 Citations
2,276 Views
10 Pages

Blind Spots Analysis of Magnetic Tensor Localization Method

  • Lei Xu,
  • Xianyuan Huang,
  • Zhonghua Dai,
  • Fuli Yuan,
  • Xu Wang and
  • Jinyu Fan

21 April 2023

In order to compare and analyze the positioning efficiency of the magnetic tensor location method, this paper studies the blind spots of the magnetic tensor location method. By constructing two magnetic tensor localization models, the localization pr...

  • Article
  • Open Access
24 Citations
4,812 Views
16 Pages

Geomatic Data Fusion for 3D Tree Modeling: The Case Study of Monumental Chestnut Trees

  • Mattia Balestra,
  • Enrico Tonelli,
  • Alessandro Vitali,
  • Carlo Urbinati,
  • Emanuele Frontoni and
  • Roberto Pierdicca

21 April 2023

In recent years, advancements in remote and proximal sensing technology have driven innovation in environmental and land surveys. The integration of various geomatics devices, such as reflex and UAVs equipped with RGB cameras and mobile laser scanner...

  • Article
  • Open Access
13 Citations
3,779 Views
24 Pages

Monitoring and Forecasting Green Tide in the Yellow Sea Using Satellite Imagery

  • Shuwen Xu,
  • Tan Yu,
  • Jinmeng Xu,
  • Xishan Pan,
  • Weizeng Shao,
  • Juncheng Zuo and
  • Yang Yu

21 April 2023

This paper proposes a semi-automatic green tide extraction method based on the NDVI to extract Yellow Sea green tides from 2008 to 2022 using remote sensing (RS) images from multiple satellites: GF-1, Landsat 5 TM, Landsat 8 OLI_TIRS, HJ-1A/B, HY-1C,...

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Remote Sens. - ISSN 2072-4292