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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
28 Citations
4,856 Views
18 Pages

An Assessment of Satellite Radiance Data Assimilation in RMAPS

  • Yanhui Xie,
  • Shuiyong Fan,
  • Min Chen,
  • Jiancheng Shi,
  • Jiqin Zhong and
  • Xinyu Zhang

29 December 2018

Due to the availability of observations and the effectiveness of bias correction, it is still a challenge to assimilate data from the polar orbit satellites into a limited-area and frequently updated model. This study assessed the initial application...

  • Article
  • Open Access
35 Citations
5,588 Views
18 Pages

A Pose Awareness Solution for Estimating Pedestrian Walking Speed

  • Guangyi Guo,
  • Ruizhi Chen,
  • Feng Ye,
  • Liang Chen,
  • Yuanjin Pan,
  • Mengyun Liu and
  • Zhipeng Cao

29 December 2018

Pedestrian walking speeds (PWS) can be used as a “body speedometer” to reveal health status information of pedestrians and positioning indoors with other locating methods. This paper proposes a pose awareness solution for estimating pedes...

  • Erratum
  • Open Access
6 Citations
3,001 Views
2 Pages

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538

  • Dieu Tien Bui,
  • Himan Shahabi,
  • Ataollah Shirzadi,
  • Kamran Kamran Chapi,
  • Nhat-Duc Hoang,
  • Binh Thai Pham,
  • Quang-Thanh Bui,
  • Chuyen-Trung Tran,
  • Mahdi Panahi and
  • Baharin Bin Ahmad
  • + 1 author

29 December 2018

The authors wish to make the following corrections to this paper [...]

  • Article
  • Open Access
5 Citations
12,212 Views
21 Pages

Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical Bayesian Network Algorithm

  • Luqi Xing,
  • Xuejian Li,
  • Huaqiang Du,
  • Guomo Zhou,
  • Fangjie Mao,
  • Tengyan Liu,
  • Junlong Zheng,
  • Luofan Dong,
  • Meng Zhang and
  • Ning Han
  • + 3 authors

29 December 2018

The highly accurate multiresolution leaf area index (LAI) is an important parameter for carbon cycle simulation for bamboo forests at different scales. However, current LAI products have discontinuous resolution with 1 km mostly, that makes it diffic...

  • Article
  • Open Access
24 Citations
7,166 Views
21 Pages

Low-Cost and Efficient Indoor 3D Reconstruction through Annotated Hierarchical Structure-from-Motion

  • Youli Ding,
  • Xianwei Zheng,
  • Yan Zhou,
  • Hanjiang Xiong and
  • Jianya Gong

29 December 2018

With the widespread application of location-based services, the appropriate representation of indoor spaces and efficient indoor 3D reconstruction have become essential tasks. Due to the complexity and closeness of indoor spaces, it is difficult to d...

  • Article
  • Open Access
11 Citations
4,912 Views
20 Pages

29 December 2018

Direct assessment of forest regeneration from remote sensing data is a previously little-explored problem. This is due to several factors which complicate object detection of small trees in the understory. Most existing studies are based on airborne...

  • Article
  • Open Access
21 Citations
7,014 Views
32 Pages

Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon

  • Henrique Luis Godinho Cassol,
  • João Manuel de Brito Carreiras,
  • Elisabete Caria Moraes,
  • Luiz Eduardo Oliveira e Cruz de Aragão,
  • Camila Valéria de Jesus Silva,
  • Shaun Quegan and
  • Yosio Edemir Shimabukuro

29 December 2018

Secondary forests (SF) are important carbon sinks, removing CO2 from the atmosphere through the photosynthesis process and storing photosynthates in their aboveground live biomass (AGB). This process occurring at large-scales partially counteracts C...

  • Article
  • Open Access
29 Citations
7,450 Views
16 Pages

Estimating the Impact of Global Navigation Satellite System Horizontal Delay Gradients in Variational Data Assimilation

  • Florian Zus,
  • Jan Douša,
  • Michal Kačmařík,
  • Pavel Václavovic,
  • Galina Dick and
  • Jens Wickert

28 December 2018

We developed operators to assimilate Global Navigation Satellite System (GNSS) Zenith Total Delays (ZTDs) and horizontal delay gradients into a numerical weather model. In this study we experiment with refractivity fields derived from the Global Fore...

  • Article
  • Open Access
14 Citations
4,197 Views
21 Pages

28 December 2018

In the case of low frequencies (e.g., P-band) radar observations, the Gaussian Vertical Backscatter (GVB) model, a model that takes into account the vertical heterogeneity of the wave-canopy interactions, can describe the forest vertical backscatter...

  • Article
  • Open Access
273 Citations
23,132 Views
27 Pages

28 December 2018

Wetlands are one of the most important ecosystems that provide a desirable habitat for a great variety of flora and fauna. Wetland mapping and modeling using Earth Observation (EO) data are essential for natural resource management at both regional a...

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Remote Sens. - ISSN 2072-4292