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Remote Sensing, Volume 10, Issue 7

July 2018 - 187 articles

Cover Story: In the last 10 years, developments in robotics, computer vision, and sensor technology have provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and high spectral resolution data with unmanned aerial vehicles (UAVs). This development has led to a revolution in geospatial data collection in which not only a small number of specialists collect and deliver remotely sensed data, but a whole diverse community is potentially able to gather geospatial data that fit their needs. However, the diversification of sensing systems challenges the common application of good practice procedures that ensure the quality of the data. This challenge can only be met by establishing and communicating common procedures. In our review, we evaluate the state-of-the-art methods in UAV spectral remote sensing that have proven successful in scientific experiments and operational demonstrations. View this paper.
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Articles (187)

  • Article
  • Open Access
29 Citations
6,510 Views
21 Pages

The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer

  • Paolo Sanò,
  • Giulia Panegrossi,
  • Daniele Casella,
  • Anna C. Marra,
  • Leo P. D’Adderio,
  • Jean F. Rysman and
  • Stefano Dietrich

16 July 2018

This paper describes a new rainfall rate retrieval algorithm, developed within the EUMETSAT H SAF program, based on the Passive microwave Neural network Precipitation Retrieval approach (PNPR v3), designed to work with the conically scanning Global P...

  • Article
  • Open Access
42 Citations
8,189 Views
19 Pages

16 July 2018

Aircraft type recognition plays an important role in remote sensing image interpretation. Traditional methods suffer from bad generalization performance, while deep learning methods require large amounts of data with type labels, which are quite expe...

  • Article
  • Open Access
10 Citations
4,518 Views
26 Pages

A Compensation Method for Airborne SAR with Varying Accelerated Motion Error

  • Tianzhu Yi,
  • Zhihua He,
  • Feng He,
  • Zhen Dong,
  • Manqing Wu and
  • Yongping Song

16 July 2018

Motion error is one of the most serious problems in airborne synthetic aperture radar (SAR) data processing. For a smoothly distributing backscatter scene or a seriously speed-varying velocity platform, the autofocusing performances of conventional a...

  • Review
  • Open Access
83 Citations
23,574 Views
52 Pages

Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches

  • Angela Lausch,
  • Erik Borg,
  • Jan Bumberger,
  • Peter Dietrich,
  • Marco Heurich,
  • Andreas Huth,
  • András Jung,
  • Reinhard Klenke,
  • Sonja Knapp and
  • Hannes Mollenhauer
  • + 11 authors

15 July 2018

Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ec...

  • Article
  • Open Access
152 Citations
12,706 Views
25 Pages

15 July 2018

The Aquarius end-of-mission (Version 5) salinity data set was released in December 2017. This article gives a comprehensive overview of the main steps of the Level 2 salinity retrieval algorithm. In particular, we will discuss the corrections for win...

  • Feature Paper
  • Article
  • Open Access
379 Citations
18,251 Views
21 Pages

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

  • Masoud Mahdianpari,
  • Bahram Salehi,
  • Mohammad Rezaee,
  • Fariba Mohammadimanesh and
  • Yun Zhang

14 July 2018

Despite recent advances of deep Convolutional Neural Networks (CNNs) in various computer vision tasks, their potential for classification of multispectral remote sensing images has not been thoroughly explored. In particular, the applications of deep...

  • Article
  • Open Access
130 Citations
9,945 Views
14 Pages

13 July 2018

Accurate and efficient monitoring of pasture quality on hill country farm systems is crucial for pasture management and optimizing production. Hyperspectral imaging is a promising tool for mapping a wide range of biophysical and biochemical propertie...

  • Article
  • Open Access
25 Citations
7,498 Views
28 Pages

Persistent Hot Spot Detection and Characterisation Using SLSTR

  • Alexandre Caseiro,
  • Gernot Rücker,
  • Joachim Tiemann,
  • David Leimbach,
  • Eckehard Lorenz,
  • Olaf Frauenberger and
  • Johannes W. Kaiser

13 July 2018

Gas flaring is a disposal process widely used in the oil extraction and processing industry. It consists in the burning of unwanted gas at the tip of a stack and due to its thermal characteristic and the thermal emission it is possible to observe and...

  • Article
  • Open Access
17 Citations
5,150 Views
21 Pages

12 July 2018

Previous research has documented the usefulness of Lidar data to derive a variety of topographic products (e.g., DEM, DTM, canopy and forest structure, and urban infrastructure). Lidar has been used to map coastal environments and geomorphology; howe...

  • Feature Paper
  • Article
  • Open Access
7 Citations
5,168 Views
18 Pages

12 July 2018

The U.S. Environmental Protection Agency banned the use of polychlorinated biphenyls (PCBs) in 1979, due to the high environmental and public health risks with which they are associated. However, PCBs continue to persist in the San Francisco Bay (SFB...

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Remote Sens. - ISSN 2072-4292