You are currently viewing a new version of our website. To view the old version click .

Remote Sensing, Volume 10, Issue 6

June 2018 - 171 articles

Cover Story: Land use change and reservoir construction alter sediment transport within rivers. These changes can impact river morphology and aquatic ecosystems. The integrity of the Lower Mekong Basin is crucial to surrounding countries for transportation, energy production, sustainable water supply, and food production. In response to this need, countries have developed regional scale water quality programs, but they are limited by point-based measurements. To augment in situ surface sediment concentrations (SSSC) data from the current monitoring program, an empirical model to estimate SSSC across the Lower Mekong Basin using decades of Landsat observations was developed. This operational model was implemented in Google Earth Engine and Google App Engine, allowing users, without any prior knowledge of remote sensing, to freely access and interpret sediment data across the region. View this paper.
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (171)

  • Article
  • Open Access
39 Citations
7,624 Views
22 Pages

Physical Retrieval of Land Surface Emissivity Spectra from Hyper-Spectral Infrared Observations and Validation with In Situ Measurements

  • Guido Masiello,
  • Carmine Serio,
  • Sara Venafra,
  • Giuliano Liuzzi,
  • Laurent Poutier and
  • Frank-M. Göttsche

20 June 2018

A fully physical retrieval scheme for land surface emissivity spectra is presented, which applies to high spectral resolution infrared observations from satellite sensors. The surface emissivity spectrum is represented with a suitably truncated Princ...

  • Article
  • Open Access
4 Citations
5,312 Views
18 Pages

20 June 2018

We present here parameterizations of particulate and phytoplankton absorption coefficients as functions of pigment concentrations (Tchla) in Sognefjord and Trondheimsfjord along the northwestern coast of Norway. The total particulate and non-algal op...

  • Article
  • Open Access
33 Citations
7,958 Views
22 Pages

Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network

  • Hasan Asy’ari Arief,
  • Geir-Harald Strand,
  • Håvard Tveite and
  • Ulf Geir Indahl

19 June 2018

Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR) data, we present a research process that compares a collection of well-proven...

  • Article
  • Open Access
9 Citations
6,335 Views
29 Pages

Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over Sparse and Heterogeneous Vegetation in Sahel Region (Niger)

  • Bouchra Ait Hssaine,
  • Jamal Ezzahar,
  • Lionel Jarlan,
  • Olivier Merlin,
  • Said Khabba,
  • Aurore Brut,
  • Salah Er-Raki,
  • Jamal Elfarkh,
  • Bernard Cappelaere and
  • Ghani Chehbouni

19 June 2018

Estimates of turbulent fluxes (i.e., sensible and latent heat fluxes H and LE) over heterogeneous surfaces is not an easy task. The heterogeneity caused by the contrast in vegetation, hydric and soil conditions can generate a large spatial variabilit...

  • Article
  • Open Access
102 Citations
12,079 Views
34 Pages

A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment

  • Mohsen Alizadeh,
  • Ibrahim Ngah,
  • Mazlan Hashim,
  • Biswajeet Pradhan and
  • Amin Beiranvand Pour

19 June 2018

Vulnerability assessment is one of the prerequisites for risk analysis in disaster management. Vulnerability to earthquakes, especially in urban areas, has increased over the years due to the presence of complex urban structures and rapid development...

  • Article
  • Open Access
1 Citations
4,228 Views
21 Pages

18 June 2018

Numerous countries have established their own Earth observing systems (EOSs) for global change research. Data acquisition efforts are generally only concerned with the completion of the mission regardless of the potential to expand into other areas,...

  • Article
  • Open Access
33 Citations
8,059 Views
21 Pages

18 June 2018

The Kabul River basin (KRB) of Afghanistan, a lifeline of around 10 million people, has multiplicity of governance, management, and development-related challenges leading to inequity, inadequacy, and unreliability of irrigation water distribution. Pr...

  • Article
  • Open Access
26 Citations
6,357 Views
20 Pages

17 June 2018

Differential synthetic aperture radar (SAR) interferometry (DInSAR) has been successfully used to estimate water level changes (∂h/∂t) over wetlands and floodplains. Specifically, amongst ALOS PALSAR datasets, the fine-beam stripmap mode ha...

  • Article
  • Open Access
8 Citations
5,199 Views
16 Pages

17 June 2018

To evaluate the potential of Raman lidar observations for measuring precipitable water vapor (PWV), PWV variations and distribution characteristics were investigated in Xi’an (34.233°N, 108.911°E), and its comparisons with meteorologica...

  • Article
  • Open Access
12 Citations
6,956 Views
20 Pages

The Use of Massive Deformation Datasets for the Analysis of Spatial and Temporal Evolution of Mauna Loa Volcano (Hawai’i)

  • Susi Pepe,
  • Luca D’Auria,
  • Raffaele Castaldo,
  • Francesco Casu,
  • Claudio De Luca,
  • Vincenzo De Novellis,
  • Eugenio Sansosti,
  • Giuseppe Solaro and
  • Pietro Tizzani

17 June 2018

In this work, we exploited large DInSAR and GPS datasets to create a 4D image of the magma transfer processes at Mauna Loa Volcano (Island of Hawai’i) from 2005 to 2015. The datasets consist of 23 continuous GPS time series and 307 SAR images a...

of 18

Get Alerted

Add your email address to receive forthcoming issues of this journal.

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