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Remote Sensing, Volume 14, Issue 10

May-2 2022 - 221 articles

Cover Story: The application of machine learning methods for the spatial prediction of soil properties has a long tradition. The prediction quality is affected by factors such as the spatial and temporal representativeness of the samples or the scale-specific explanatory power of the variables used. In this study, the explanatory power of novel multitemporal soil reflectance composites (SRCs) for the prediction of (top)soil organic carbon content (SOC) is analyzed using a Bavarian study area as an example and compared with the explanatory power of established multihierarchical terrain attributes. Accordingly, parameters based on SRCs are characterized by a higher explanatory power at fine scales compared to terrain attributes. The study results suggest that digital soil modeling (DSM) workflows should include scale-related optimizations. View this paper
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Articles (221)

  • Article
  • Open Access
5 Citations
3,122 Views
19 Pages

A Registration Method for Dual-Frequency, High-Spatial-Resolution SAR Images

  • Junnan Huang,
  • Daoxiang An,
  • Yuxiao Luo,
  • Jingwei Chen,
  • Zhimin Zhou,
  • Leping Chen and
  • Dong Feng

23 May 2022

With the continuous development of synthetic-aperture-radar (SAR) technology, SAR-image data are becoming increasingly abundant. For the same scene, dual-frequency (high-frequency and low-frequency) SAR images can present different details and featur...

  • Article
  • Open Access
31 Citations
5,647 Views
18 Pages

Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China

  • Xianglin Zhang,
  • Jie Xue,
  • Songchao Chen,
  • Nan Wang,
  • Zhou Shi,
  • Yuanfang Huang and
  • Zhiqing Zhuo

23 May 2022

Due to the importance of soil organic carbon (SOC) in supporting ecosystem services, accurate SOC assessment is vital for scientific research and decision making. However, most previous studies focused on single soil depth, leading to a poor understa...

  • Article
  • Open Access
11 Citations
2,807 Views
16 Pages

23 May 2022

Airborne magnetic and gradient measurements are commonly used geophysical remote sensing tools to obtain the distribution features of ore mineral bodies. It is known that ore mineral bodies generally contain remanent magnetization, and magnetization...

  • Article
  • Open Access
28 Citations
4,592 Views
19 Pages

23 May 2022

Atmospheric water vapor is one of the important parameters for weather and climate studies. Generally, atmospheric water vapor can be monitored by some techniques, such as the Global Navigation Satellite System (GNSS), radiosonde (RS), remote sensing...

  • Technical Note
  • Open Access
7 Citations
2,945 Views
15 Pages

Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference

  • Long Huang,
  • Zukun Lu,
  • Chao Ren,
  • Zhe Liu,
  • Zhibin Xiao,
  • Jie Song and
  • Baiyu Li

23 May 2022

The global navigation satellite system has achieved great success in the civil and military fields and is an important resource for space-time information services. However, spoof interference has always been one of the main threats to the applicatio...

  • Article
  • Open Access
4 Citations
4,785 Views
25 Pages

23 May 2022

Understanding the relationship between leaf phenology and physiological properties has important implications for improving ecosystem models of biogeochemical cycling. However, previous studies have investigated such relationships only at the ecosyst...

  • Article
  • Open Access
3 Citations
4,135 Views
24 Pages

23 May 2022

The Sentinel-2 constellation has been providing high spatial, spectral and temporal resolution optical imagery of the continental surfaces since 2015. The spatial and temporal resolution improvements that Sentinel-2 brings with respect to previous sy...

  • Article
  • Open Access
14 Citations
7,579 Views
21 Pages

Retrieving Mediterranean Sea Surface Salinity Distribution and Interannual Trends from Multi-Sensor Satellite and In Situ Data

  • Michela Sammartino,
  • Salvatore Aronica,
  • Rosalia Santoleri and
  • Bruno Buongiorno Nardelli

23 May 2022

Sea surface salinity (SSS) is one of the Essential Climate Variables (ECVs), defined by the Global Climate Observing System (GCOS). Salinity is modified by river discharge, land run-off, precipitation, and evaporation, and it is advected by oceanic c...

  • Article
  • Open Access
30 Citations
7,068 Views
17 Pages

Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia

  • Simon Measho,
  • Fadong Li,
  • Petri Pellikka,
  • Chao Tian,
  • Hubert Hirwa,
  • Ning Xu,
  • Yunfeng Qiao,
  • Sayidjakhon Khasanov,
  • Rashid Kulmatov and
  • Gang Chen

23 May 2022

Global agricultural lands are becoming saline because of human activities that have affected crop production and food security worldwide. In this study, the spatiotemporal variability of soil electrical conductivity (EC) in Central Asia was evaluated...

  • Article
  • Open Access
13 Citations
5,204 Views
16 Pages

Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing

  • Gordana Kaplan,
  • Hakan Oktay Aydinli,
  • Andrea Pietrelli,
  • Fabien Mieyeville and
  • Vincenzo Ferrara

23 May 2022

Oil contamination is a major source of pollution in the environment. It may take decades for oil-contaminated soils to be remedied. This study models oil-contaminated soils using one of the world’s greatest environmental disasters, the onshore oil sp...

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Remote Sens. - ISSN 2072-4292Creative Common CC BY license