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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
31 Citations
8,394 Views
21 Pages

SfM-Based Method to Assess Gorgonian Forests (Paramuricea clavata (Cnidaria, Octocorallia))

  • Marco Palma,
  • Monica Rivas Casado,
  • Ubaldo Pantaleo,
  • Gaia Pavoni,
  • Daniela Pica and
  • Carlo Cerrano

21 July 2018

Animal forests promote marine habitats morphological complexity and functioning. The red gorgonian, Paramuricea clavata, is a key structuring species of the Mediterranean coralligenous habitat and an indicator species of climate effects on habitat fu...

  • Article
  • Open Access
9 Citations
6,090 Views
26 Pages

TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada

  • Samuel Stettner,
  • Hugues Lantuit,
  • Birgit Heim,
  • Jayson Eppler,
  • Achim Roth,
  • Annett Bartsch and
  • Bernhard Rabus

21 July 2018

The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variabilit...

  • Article
  • Open Access
34 Citations
8,340 Views
19 Pages

Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting

  • Jacopo Acquarelli,
  • Elena Marchiori,
  • Lutgarde M.C. Buydens,
  • Thanh Tran and
  • Twan Van Laarhoven

21 July 2018

Spectral-spatial classification of hyperspectral images has been the subject of many studies in recent years. When there are only a few labeled pixels for training and a skewed class label distribution, this task becomes very challenging because of t...

  • Article
  • Open Access
34 Citations
8,832 Views
16 Pages

20 July 2018

The Landsat archives have been made freely available in 2008, allowing the production of high resolution built-up maps at the regional or global scale. In this context, most of the classification algorithms rely on supervised learning to tackle the h...

  • Feature Paper
  • Article
  • Open Access
63 Citations
8,155 Views
19 Pages

Subsidence Evolution of the Firenze–Prato–Pistoia Plain (Central Italy) Combining PSI and GNSS Data

  • Matteo Del Soldato,
  • Gregorio Farolfi,
  • Ascanio Rosi,
  • Federico Raspini and
  • Nicola Casagli

20 July 2018

Subsidence phenomena, as well as landslides and floods, are one of the main geohazards affecting the Tuscany region (central Italy). The monitoring of related ground deformations plays a key role in their management to avoid problems for buildings an...

  • Article
  • Open Access
16 Citations
8,472 Views
28 Pages

20 July 2018

In this study, a radiation component calculation algorithm was developed using channel data from the Himawari-8 Advanced Himawari Imager (AHI) and meteorological data from the Unified Model (UM) Local Data Assimilation and Prediction System (LDAPS)....

  • Article
  • Open Access
35 Citations
7,143 Views
26 Pages

20 July 2018

High-density point clouds are valuable and detailed sources of data for different processes related to photogrammetry. We explore the knowledge-based generation of accurate large-scale three-dimensional (3D) models of buildings employing point clouds...

  • Article
  • Open Access
35 Citations
6,621 Views
20 Pages

Intercomparison of Three Two-Source Energy Balance Models for Partitioning Evaporation and Transpiration in Semiarid Climates

  • Yongmin Yang,
  • Jianxiu Qiu,
  • Renhua Zhang,
  • Shifeng Huang,
  • Sheng Chen,
  • Hui Wang,
  • Jiashun Luo and
  • Yue Fan

20 July 2018

Evaporation (E) and transpiration (T) information is crucial for precise water resources planning and management in arid and semiarid areas. Two-source energy balance (TSEB) methods based on remotely-sensed land surface temperature provide an importa...

  • Technical Note
  • Open Access
71 Citations
9,444 Views
14 Pages

20 July 2018

Hurricanes and other severe coastal storms have become more frequent and destructive during recent years. Hurricane Harvey, one of the most extreme events in recent history, advanced as a category IV storm and brought devastating rainfall to the Hous...

  • Article
  • Open Access
48 Citations
10,108 Views
23 Pages

20 July 2018

While considerable research has focused on using either L-band or P-band SAR (Synthetic Aperture Radar) on their own for forest biomass retrieval, the use of the two bands simultaneously to improve forest biomass retrieval remains less explored. In t...

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Remote Sens. - ISSN 2072-4292