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Remote Sensing, Volume 11, Issue 1

January-1 2019 - 102 articles

Cover Story: Mineral dust is a key player in the Earth’s climate system. However, climate and weather prediction models still have difficulty predicting the amount and distribution of mineral dust in the atmosphere. One reason for this is the limited understanding of the spatiotemporal activity of dust sources. Here, an approach is presented to determine the location of potential dust sources in a study area in the central Sahara. For this, high-resolution optical data of the Sentinel-2 satellite together with HydroSHEDS flow accumulation data is used to create a sediment supply map, which is then implemented in a dust emission model. A comparison of the simulated dust flux to the observed dust source activation frequency reveals the extent to which the model benefits from having more accurate information on the distribution of dust sources. View this paper.
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Articles (102)

  • Article
  • Open Access
151 Citations
15,373 Views
23 Pages

Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal

  • José Antonio Navarro,
  • Nur Algeet,
  • Alfredo Fernández-Landa,
  • Jessica Esteban,
  • Pablo Rodríguez-Noriega and
  • María Luz Guillén-Climent

3 January 2019

Due to the increasing importance of mangroves in climate change mitigation projects, more accurate and cost-effective aboveground biomass (AGB) monitoring methods are required. However, field measurements of AGB may be a challenge because of their re...

  • Article
  • Open Access
46 Citations
11,513 Views
23 Pages

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks

  • Zachary L. Langford,
  • Jitendra Kumar,
  • Forrest M. Hoffman,
  • Amy L. Breen and
  • Colleen M. Iversen

2 January 2019

Land cover datasets are essential for modeling and analysis of Arctic ecosystem structure and function and for understanding land–atmosphere interactions at high spatial resolutions. However, most Arctic land cover products are generated at a c...

  • Article
  • Open Access
45 Citations
5,759 Views
22 Pages

How Well Can IMERG Products Capture Typhoon Extreme Precipitation Events over Southern China?

  • Chaoying Huang,
  • Junjun Hu,
  • Sheng Chen,
  • Asi Zhang,
  • Zhenqing Liang,
  • Xinhua Tong,
  • Liusi Xiao,
  • Chao Min and
  • Zengxin Zhang

2 January 2019

This study assesses the performance of the latest version 05B (V5B) Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Early and Final Runs over southern China during six extremely heavy precipitation events brou...

  • Article
  • Open Access
5 Citations
4,030 Views
11 Pages

2 January 2019

The wavenumber-frequency spectra of many radar measurements of the sea surface contain a linear feature at frequencies lower than the first order dispersion relationship commonly referred to as the “group line”. Plant and Farquharson, sho...

  • Article
  • Open Access
69 Citations
8,898 Views
18 Pages

1 January 2019

This study presents the operational framework for rapid, very-high resolution mapping of glacial geomorphology, with the use of budget Unmanned Aerial Vehicles and a structure-from-motion approach. The proposed workflow comprises seven stages: (1) Pr...

  • Article
  • Open Access
6 Citations
4,164 Views
17 Pages

Improvement of Hourly Surface Solar Irradiance Estimation Using MSG Rapid Scanning Service

  • Donatello Gallucci,
  • Filomena Romano,
  • Domenico Cimini,
  • Francesco Di Paola,
  • Sabrina Gentile,
  • Salvatore Larosa,
  • Saverio T. Nilo,
  • Elisabetta Ricciardelli,
  • Ermann Ripepi and
  • Mariassunta Viggiano
  • + 1 author

1 January 2019

The purpose of this work is to explore the effect of temporal sampling on the accuracy of the hourly mean Surface Solar Irradiance (SSI) estimation. An upgraded version of the Advanced Model for the Estimation of Surface Solar Irradiance from Satelli...

  • Article
  • Open Access
12 Citations
6,382 Views
17 Pages

1 January 2019

One of the important image processing technologies is visual odometry (VO) technology. VO estimates platform motion through a sequence of images. VO is of interest in the virtual reality (VR) industry as well as the automobile industry because the co...

  • Article
  • Open Access
150 Citations
10,325 Views
18 Pages

Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model

  • Sisi Wei,
  • Hong Zhang,
  • Chao Wang,
  • Yuanyuan Wang and
  • Lu Xu

1 January 2019

Due to the unique advantages of microwave detection, such as its low restriction from the atmosphere and its capability to obtain structural information about ground targets, synthetic aperture radar (SAR) is increasingly used in agricultural observa...

  • Article
  • Open Access
82 Citations
11,907 Views
17 Pages

Maize Plant Phenotyping: Comparing 3D Laser Scanning, Multi-View Stereo Reconstruction, and 3D Digitizing Estimates

  • Yongjian Wang,
  • Weiliang Wen,
  • Sheng Wu,
  • Chuanyu Wang,
  • Zetao Yu,
  • Xinyu Guo and
  • Chunjiang Zhao

31 December 2018

High-throughput phenotyping technologies have become an increasingly important topic of crop science in recent years. Various sensors and data acquisition approaches have been applied to acquire the phenotyping traits. It is quite confusing for crop...

  • Article
  • Open Access
212 Citations
12,912 Views
26 Pages

31 December 2018

The European Parliament and The Council of the European Union have established the Water Framework Directive (2000/60/EC) for all European Union member states to achieve, at least, “good” ecological status of all water bodies larger than...

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