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Remote Sensing, Volume 13, Issue 13

July-1 2021 - 218 articles

Cover Story: Doppler lidars are used worldwide for wind monitoring and, more recently, for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars in Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to classify Doppler lidar observations into different classes. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can provide new opportunities for lidar data end-users, such as aviation safety operators. View this paper
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Articles (218)

  • Article
  • Open Access
16 Citations
3,610 Views
20 Pages

5 July 2021

The continuous sensing of water parameters is of great importance to the study of dynamic processes in the ocean, coastal areas, and inland waters. Conventional fixed-point and ship-based observing systems cannot provide sufficient sampling of rapidl...

  • Article
  • Open Access
6 Citations
3,025 Views
19 Pages

5 July 2021

Vegetation heat-stress assessment in the reclamation areas of coal gangue dumps is of great significance in controlling spontaneous combustion; through a temperature gradient experiment, we collected leaf spectra and water content data on alfalfa. We...

  • Communication
  • Open Access
3 Citations
3,052 Views
11 Pages

5 July 2021

The Orientale impact basin is the youngest and most well-preserved of the lunar multi-ring basins. The generally well-preserved ring structures and basin facies are distinctly anomalous in the southwestern quadrant; the outer Cordillera ring extends...

  • Article
  • Open Access
17 Citations
3,884 Views
15 Pages

5 July 2021

Currently, low Earth orbit (LEO) satellites are attracting great attention in the navigation enhancement field because of their stronger navigation signal and faster elevation variation than medium Earth orbit (MEO) satellites. To meet the need for r...

  • Review
  • Open Access
24 Citations
5,185 Views
21 Pages

Shortwave Radiance to Irradiance Conversion for Earth Radiation Budget Satellite Observations: A Review

  • Jake J. Gristey,
  • Wenying Su,
  • Norman G. Loeb,
  • Thomas H. Vonder Haar,
  • Florian Tornow,
  • K. Sebastian Schmidt,
  • Maria Z. Hakuba,
  • Peter Pilewskie and
  • Jacqueline E. Russell

5 July 2021

Observing the Earth radiation budget (ERB) from satellites is crucial for monitoring and understanding Earth’s climate. One of the major challenges for ERB observations, particularly for reflected shortwave radiation, is the conversion of the measure...

  • Article
  • Open Access
29 Citations
5,453 Views
16 Pages

5 July 2021

Crop water status and irrigation requirements are of great importance to the horticultural industry due to changing climatic conditions leading to high evaporative demands, drought and water scarcity in semi-arid and arid regions worldwide. Irrigatio...

  • Article
  • Open Access
67 Citations
7,736 Views
23 Pages

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

  • Bahareh Kalantar,
  • Naonori Ueda,
  • Vahideh Saeidi,
  • Saeid Janizadeh,
  • Fariborz Shabani,
  • Kourosh Ahmadi and
  • Farzin Shabani

5 July 2021

Large damages and losses resulting from floods are widely reported across the globe. Thus, the identification of the flood-prone zones on a flood susceptibility map is very essential. To do so, 13 conditioning factors influencing the flood occurrence...

  • Article
  • Open Access
6 Citations
3,230 Views
19 Pages

5 July 2021

Hyperspectral unmixing (HU) is a research hotspot of hyperspectral remote sensing technology. As a classical HU method, the nonnegative matrix factorization (NMF) unmixing method can decompose an observed hyperspectral data matrix into the product of...

  • Article
  • Open Access
17 Citations
5,788 Views
24 Pages

Optimization in VHTS Satellite System Design with Irregular Beam Coverage for Non-Uniform Traffic Distribution

  • Flor G. Ortiz-Gomez,
  • Miguel A. Salas-Natera,
  • Ramón Martínez and
  • Salvador Landeros-Ayala

5 July 2021

Very High Throughput Satellites (VHTS) have a pivotal role in complementing terrestrial networks to increase traffic demand. VHTS systems currently assume a uniform distribution of traffic in the service area, but in a real system, traffic demands ar...

  • Article
  • Open Access
5 Citations
3,577 Views
19 Pages

5 July 2021

Falling snow alters its own microwave signatures when it begins to accumulate on the ground, making retrieval of snowfall challenging. This paper investigates the effects of snow-cover depth and cloud liquid water content on microwave signatures of t...

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