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Remote Sensing, Volume 13, Issue 24

December-2 2021 - 227 articles

Cover Story: The availability of huge datasets of satellite remote sensing measurements has fostered the development of fast, efficient retrieval codes. Deep learning techniques were recently applied to satellite retrievals. Forward models are a fundamental part of retrieval code development and mission design. However, the application of deep learning techniques to radiative transfer simulations is still underexplored. Here, deep learning techniques are applied to the design of the retrieval chain of an upcoming satellite mission, LSTM, a candidate for Sentinel 9: they are used to generate spectral features and analyze simulated observations. The performance of deep learning algorithms shows promising results for the production of both simulated spectra and parameter retrievals, one of the main advances being the reduction in computational costs.View this paper
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Articles (227)

  • Article
  • Open Access
2 Citations
3,957 Views
24 Pages

Real-Time Tephra Detection and Dispersal Forecasting by a Ground-Based Weather Radar

  • Magfira Syarifuddin,
  • Susanna F. Jenkins,
  • Ratih Indri Hapsari,
  • Qingyuan Yang,
  • Benoit Taisne,
  • Andika Bayu Aji,
  • Nurnaning Aisyah,
  • Hanggar Ganara Mawandha and
  • Djoko Legono

20 December 2021

Tephra plumes can cause a significant hazard for surrounding towns, infrastructure, and air traffic. The current work presents the use of a small and compact X-band multi-parameter (X-MP) radar for the remote tephra detection and tracking of two erup...

  • Article
  • Open Access
3 Citations
3,296 Views
16 Pages

20 December 2021

The electromagnetic scattering study of the turbulent wake of a moving ship has important application value in target recognition and tracking. However, to date, there has been insufficient research into the electromagnetic characteristics of near-fi...

  • Article
  • Open Access
15 Citations
5,384 Views
20 Pages

Monitoring Small Water Bodies Using High Spatial and Temporal Resolution Analysis Ready Datasets

  • Vinicius Perin,
  • Samapriya Roy,
  • Joe Kington,
  • Thomas Harris,
  • Mirela G. Tulbure,
  • Noah Stone,
  • Torben Barsballe,
  • Michele Reba and
  • Mary A. Yaeger

20 December 2021

Basemap and Planet Fusion—derived from PlanetScope imagery—represent the next generation of analysis ready datasets that minimize the effects of the presence of clouds. These datasets have high spatial (3 m) and temporal (daily) resolutio...

  • Technical Note
  • Open Access
8 Citations
5,048 Views
11 Pages

20 December 2021

Coastal zones are very dynamic natural systems that experience short-term and long-term morphological changes. Their highly dynamic behavior requires frequent monitoring. Tidal flat topography for a large spatial coverage has been generated mainly by...

  • Article
  • Open Access
5 Citations
3,520 Views
19 Pages

Statistical Study of Ionospheric Equivalent Slab Thickness at Guam Magnetic Equatorial Location

  • Yuqiang Zhang,
  • Zhensen Wu,
  • Jian Feng,
  • Tong Xu,
  • Zhongxin Deng,
  • Ming Ou,
  • Wen Xiong and
  • Weimin Zhen

20 December 2021

The ionospheric equivalent slab thickness (τ) is defined as the ratio of the total electron content (TEC) to the F2-layer peak electron density (NmF2), and it is a significant parameter representative of the ionosphere. In this paper, a comprehen...

  • Article
  • Open Access
8 Citations
4,073 Views
32 Pages

A New Method (MINDED-BA) for Automatic Detection of Burned Areas Using Remote Sensing

  • Eduardo R. Oliveira,
  • Leonardo Disperati and
  • Fátima L. Alves

20 December 2021

This work presents a change detection method (MINDED-BA) for determining burned extents from multispectral remote sensing imagery. It consists of a development of a previous model (MINDED), originally created to estimate flood extents, combining a mu...

  • Article
  • Open Access
3 Citations
3,111 Views
16 Pages

20 December 2021

We constructed the A-Train co-located aerosol and marine warm cloud data from 2006 to 2010 winter and spring over East Asia and investigated the sensitivities of single-layer warm cloud properties to aerosols under different precipitation statuses an...

  • Article
  • Open Access
52 Citations
6,089 Views
15 Pages

Using CYGNSS Data to Map Flood Inundation during the 2021 Extreme Precipitation in Henan Province, China

  • Shuangcheng Zhang,
  • Zhongmin Ma,
  • Zhenhong Li,
  • Pengfei Zhang,
  • Qi Liu,
  • Yang Nan,
  • Jingjiang Zhang,
  • Shengwei Hu,
  • Yuxuan Feng and
  • Hebin Zhao

20 December 2021

On 20 July 2021, parts of China’s Henan Province received the highest precipitation levels ever recorded in the region. Floods caused by heavy rainfall resulted in hundreds of casualties and tens of billions of dollars’ worth of property...

  • Technical Note
  • Open Access
5 Citations
2,880 Views
14 Pages

Tropospheric Attenuation in GeoSurf Satellite Constellations

  • Emilio Matricciani,
  • Carlo Riva and
  • Lorenzo Luini

20 December 2021

In GeoSurf satellite constellations, any transmitter/receiver, wherever it is located, is linked to a satellite with zenith paths. We have studied the tropospheric attenuation predicted for some reference sites (Canberra, Holmdel, Pasadena, Robledo,...

  • Article
  • Open Access
13 Citations
4,411 Views
18 Pages

Mapping Large-Scale Forest Disturbance Types with Multi-Temporal CNN Framework

  • Xi Chen,
  • Wenzhi Zhao,
  • Jiage Chen,
  • Yang Qu,
  • Dinghui Wu and
  • Xuehong Chen

20 December 2021

Forests play a vital role in combating gradual developmental deficiencies and balancing regional ecosystems, yet they are constantly disturbed by man-made or natural events. Therefore, developing a timely and accurate forest disturbance detection str...

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Remote Sens. - ISSN 2072-4292