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Remote Sensing, Volume 12, Issue 14

July-2 2020 - 170 articles

Cover Story: The disease caused by SARS-CoV-2 has affected many countries and regions. In order to contain the spread of infection, many countries have adopted lockdown measures. As a result, SARS-CoV-2 has negatively influenced economies on a global scale and has had a significant impact on the environment. In this study, changes in the concentration of the pollutant nitrogen dioxide (NO2) within the lockdown period were examined, in addition to how these changes relate to the Spanish population. Remote sensing is a useful tool to analyze the spatial variability of air quality. For this purpose, Sentinel-5P images were used to analyze the spatial distribution of NO2 and its evolution under the lockdown measures in Spain. The results indicate a significant correlation between the population’s activity level and the reduction of NO2 values. View this paper
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Articles (170)

  • Feature Paper
  • Article
  • Open Access
15 Citations
5,302 Views
21 Pages

Uncovering Dryland Woody Dynamics Using Optical, Microwave, and Field Data—Prolonged Above-Average Rainfall Paradoxically Contributes to Woody Plant Die-Off in the Western Sahel

  • Paulo N. Bernardino,
  • Martin Brandt,
  • Wanda De Keersmaecker,
  • Stéphanie Horion,
  • Rasmus Fensholt,
  • Ilié Storms,
  • Jean-Pierre Wigneron,
  • Jan Verbesselt and
  • Ben Somers

21 July 2020

Dryland ecosystems are frequently struck by droughts. Yet, woody vegetation is often able to recover from mortality events once precipitation returns to pre-drought conditions. Climate change, however, may impact woody vegetation resilience due to mo...

  • Technical Note
  • Open Access
28 Citations
6,945 Views
17 Pages

Modeling Salt Marsh Vegetation Height Using Unoccupied Aircraft Systems and Structure from Motion

  • Alexandra E. DiGiacomo,
  • Clara N. Bird,
  • Virginia G. Pan,
  • Kelly Dobroski,
  • Claire Atkins-Davis,
  • David W. Johnston and
  • Justin T. Ridge

21 July 2020

Salt marshes provide important services to coastal ecosystems in the southeastern United States. In many locations, salt marsh habitats are threatened by coastal development and erosion, necessitating large-scale monitoring. Assessing vegetation heig...

  • Article
  • Open Access
18 Citations
4,243 Views
19 Pages

21 July 2020

High-resolution remotely sensed imageries have been widely employed to detect urban villages (UVs) in highly urbanized regions, especially in developing countries. However, the understanding of the potential impacts of spatially and temporally differ...

  • Article
  • Open Access
6 Citations
5,054 Views
40 Pages

21 July 2020

A classification method of hyperspectral reflectance images named CHRIPS (Classification of Hyperspectral Reflectance Images with Physical and Statistical criteria) is presented. This method aims at classifying each pixel from a given set of thirteen...

  • Article
  • Open Access
22 Citations
3,970 Views
20 Pages

A Non-Local Low-Rank Algorithm for Sub-Bottom Profile Sonar Image Denoising

  • Shaobo Li,
  • Jianhu Zhao,
  • Hongmei Zhang,
  • Zijun Bi and
  • Siheng Qu

21 July 2020

Due to the influence of equipment instability and surveying environment, scattering echoes and other factors, it is sometimes difficult to obtain high-quality sub-bottom profile (SBP) images by traditional denoising methods. In this paper, a novel SB...

  • Article
  • Open Access
18 Citations
4,851 Views
19 Pages

Precipitation Diurnal Cycle Assessment of Satellite-Based Estimates over Brazil

  • João Maria de Sousa Afonso,
  • Daniel Alejandro Vila,
  • Manoel Alonso Gan,
  • David Pareja Quispe,
  • Naurinete de Jesus da Costa Barreto,
  • Joao Henry Huamán Chinchay and
  • Rayana Santos Araujo Palharini

21 July 2020

The main objective of this study is to assess the ability of several high-resolution satellite-based precipitation estimates to represent the Precipitation Diurnal Cycle (PDC) over Brazil during the 2014–2018 period, after the launch of the Glo...

  • Article
  • Open Access
47 Citations
11,164 Views
25 Pages

DeepInSAR—A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation

  • Xinyao Sun,
  • Aaron Zimmer,
  • Subhayan Mukherjee,
  • Navaneeth Kamballur Kottayil,
  • Parwant Ghuman and
  • Irene Cheng

21 July 2020

Over the past decade, using Interferometric Synthetic Aperture Radar (InSAR) remote sensing technology for ground displacement detection has become very successful. However, during the acquisition stage, microwave signals reflected from the ground an...

  • Feature Paper
  • Article
  • Open Access
14 Citations
4,668 Views
23 Pages

Pre-Emptive Detection of Mature Pine Drought Stress Using Multispectral Aerial Imagery

  • Nancy Grulke,
  • Jason Maxfield,
  • Phillip Riggan and
  • Charlie Schrader-Patton

21 July 2020

Drought, ozone (O3), and nitrogen deposition (N) alter foliar pigments and tree crown structure that may be remotely detectable. Remote sensing tools are needed that pre-emptively identify trees susceptible to environmental stresses could inform fore...

  • Article
  • Open Access
9 Citations
4,548 Views
25 Pages

21 July 2020

This study evaluates the applicability of numerical weather prediction output supplemented with remote sensing data for near real-time operational estimation of hourly evapotranspiration (ET). Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HR...

  • Letter
  • Open Access
5 Citations
3,068 Views
12 Pages

21 July 2020

Land cover management practices, including the adoption of cover crops or retaining crop residue during the non-growing season, has important impacts on soil health. To broadly survey these practices, a number of remotely sensed products are availabl...

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Remote Sens. - ISSN 2072-4292