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Remote Sensing, Volume 16, Issue 23

December-1 2024 - 273 articles

Cover Story: This research provides insight into the use of RS to study urban biodiversity. Using the Scopus database, we have examined peer-reviewed articles published from 2008 to 2023, employing specific keywords to identify relevant research. The majority of the research on urban biodiversity using RS focuses on large cities in the Northern Hemisphere, often neglecting smaller cities. This has led to a concentration of data on Mediterranean and temperate regions, with limited coverage of biomes like boreal, desert, and tropical areas. In addition, we observed from the extracted metadata which RS sensors and biodiversity targets were the main focus of research. Our work provides a comprehensive overview of the current methodologies and highlights areas for further investigation, providing guidance for future remote sensing studies of urban biodiversity. View this paper
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Articles (273)

  • Article
  • Open Access
4 Citations
1,775 Views
20 Pages

Evolution Characteristics and Risk Assessment on Nonpoint Source Pollution in the Weihe River Basin, China

  • Jiqiang Lyu,
  • Haihao Zhang,
  • Yuanjia Huang,
  • Chunyu Bai,
  • Yuhao Yang,
  • Junlin Shi,
  • Zhizhou Yang,
  • Yan Wang,
  • Zhaohui Zhou and
  • Pingping Luo
  • + 2 authors

8 December 2024

Temporal and spatial changes in non-point source pollution, driven by significant alterations in land use due to increased human activity, have considerably affected the quality of groundwater, surface water, and soil environments in the region. This...

  • Article
  • Open Access
3 Citations
2,205 Views
16 Pages

Differential Study on Estimation Models for Indica Rice Leaf SPAD Value and Nitrogen Concentration Based on Hyperspectral Monitoring

  • Yufen Zhang,
  • Kaiming Liang,
  • Feifei Zhu,
  • Xuhua Zhong,
  • Zhanhua Lu,
  • Yibo Chen,
  • Junfeng Pan,
  • Chusheng Lu,
  • Jichuan Huang and
  • Qunhuan Ye
  • + 4 authors

8 December 2024

Soil and plant analyzer development (SPAD) value and leaf nitrogen concentration (LNC) based on dry weight are important indicators affecting rice yield and quality. However, there are few reports on the use of machine learning algorithms based on hy...

  • Article
  • Open Access
7 Citations
4,532 Views
23 Pages

Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data

  • Mengying Ye,
  • Changbao Yang,
  • Xuqing Zhang,
  • Sixu Li,
  • Xiaoran Peng,
  • Yuyang Li and
  • Tianyi Chen

7 December 2024

Shallow water bathymetry is essential for maritime navigation, environmental monitoring, and coastal management. While traditional methods such as sonar and airborne LiDAR provide high accuracy, their high cost and time-consuming nature limit their a...

  • Technical Note
  • Open Access
3 Citations
1,885 Views
15 Pages

7 December 2024

A millimeter-wave radar is widely accepted by the public due to its low susceptibility to interference, such as changes in light, and the protection of personal privacy. With the development of the deep learning theory, the deep learning method has b...

  • Article
  • Open Access
1,135 Views
27 Pages

Three-Dimensional Pulsed-Laser Imaging via Compressed Sensing Reconstruction Based on Proximal Momentum-Gradient Descent

  • Han Gao,
  • Guifeng Zhang,
  • Min Huang,
  • Yanbing Xu,
  • Yucheng Zheng,
  • Shuai Yuan and
  • Huan Li

7 December 2024

Compressed sensing (CS) is a promising approach to enhancing the spatial resolution of images obtained from few-pixel array sensors in three-dimensional (3D) laser imaging scenarios. However, traditional CS-based methods suffer from insufficient rang...

  • Article
  • Open Access
1,224 Views
23 Pages

Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images

  • Xin Ma,
  • Chun Liu,
  • Xun Geng,
  • Sifen Wang,
  • Tao Li,
  • Jin Wang,
  • Pengying Liu,
  • Jiujiang Zhang,
  • Qiudong Wang and
  • Yuying Wang
  • + 2 authors

7 December 2024

Planetary photogrammetry remains an important technical means of producing high-precision planetary maps. High-quality control networks are fundamental to successful bundle adjustment. However, current software tools used by the planetary mapping com...

  • Article
  • Open Access
1 Citations
1,473 Views
19 Pages

Arctic Sea Ice Surface Temperature Retrieval from FengYun-3A MERSI-I Data

  • Yachao Li,
  • Tingting Liu,
  • Zemin Wang,
  • Mohammed Shokr,
  • Menglin Yuan,
  • Qiangqiang Yuan and
  • Shiyu Wu

7 December 2024

Arctic sea-ice surface temperature (IST) is an important environmental and climatic parameter. Currently, wide-swath sea-ice surface temperature products have a spatial resolution of approximately 1000 m. The Medium Resolution Spectral Imager (MERSI-...

  • Article
  • Open Access
5 Citations
1,690 Views
20 Pages

7 December 2024

Understanding the trade-offs and synergies between ecosystem services is essential for effective ecological management. We selected food provisioning and soil conservation services to explore their intrinsic link and trade-offs. We evaluated these se...

  • Article
  • Open Access
5 Citations
3,155 Views
22 Pages

Re-Estimating GEDI Ground Elevation Using Deep Learning: Impacts on Canopy Height and Aboveground Biomass

  • Rei Mitsuhashi,
  • Yoshito Sawada,
  • Ken Tsutsui,
  • Hidetake Hirayama,
  • Tadashi Imai,
  • Taishi Sumita,
  • Koji Kajiwara and
  • Yoshiaki Honda

7 December 2024

This paper presents a method to improve ground elevation estimates through waveform analysis from the Global Ecosystem Dynamics Investigation (GEDI) and examines its impact on canopy height and aboveground biomass (AGB) estimation. The method uses a...

  • Article
  • Open Access
3 Citations
2,072 Views
18 Pages

Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer

  • Runze Zhang,
  • Abhi Nayak,
  • Derek Houtz,
  • Adam Watts,
  • Elahe Soltanaghai and
  • Mohamad Alipour

6 December 2024

A novel Portable L-band radiometer (PoLRa), compatible with tower-, vehicle- and drone-based platforms, can provide gridded soil moisture estimations from a few meters to several hundred meters yet its retrieval accuracy has rarely been examined. Thi...

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Remote Sens. - ISSN 2072-4292