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Remote Sensing, Volume 12, Issue 15

August-1 2020 - 164 articles

Cover Story: With a decline in the number of operational river gauges monitoring sediments, a viable means of quantifying sediment transport is needed. In this study, we address this issue by applying relationships between hydraulic geometry of river channels, water discharge, water-leaving surface reflectance, and suspended sediment concentration (SSC) to quantify sediment discharge with the aid of space-based observations. We examined 5490 Landsat scenes to estimate water discharge, SSC, and sediment discharge for the period 1984–2017 at nine gauging sites along the Upper Mississippi River. The results show that the water discharge and SSC retrieval from Landsat imagery yield reasonable sediment discharge estimates for the Upper Mississippi River. View this paper
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Articles (164)

  • Feature Paper
  • Article
  • Open Access
38 Citations
7,659 Views
25 Pages

Water Stress Estimation in Vineyards from Aerial SWIR and Multispectral UAV Data

  • Zacharias Kandylakis,
  • Alexandros Falagas,
  • Christina Karakizi and
  • Konstantinos Karantzalos

4 August 2020

Mapping water stress in vineyards, at the parcel level, is of significant importance for supporting crop management decisions and applying precision agriculture practices. In this paper, a novel methodology based on aerial Shortwave Infrared (SWIR) d...

  • Article
  • Open Access
17 Citations
5,972 Views
28 Pages

Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument

  • Kyeong-Sang Lee,
  • Sung-Rae Chung,
  • Changsuk Lee,
  • Minji Seo,
  • Sungwon Choi,
  • Noh-Hun Seong,
  • Donghyun Jin,
  • Minseok Kang,
  • Jong-Min Yeom and
  • Jean-Louis Roujean
  • + 3 authors

4 August 2020

The Korea Meteorological Administration successfully launched Korea’s next-generation meteorological satellite, Geo-KOMPSAT-2A (GK-2A), on 5 December 2018. It belongs to the new generation of GEO (Geostationary Elevation Orbit) satellite which...

  • Article
  • Open Access
90 Citations
18,104 Views
23 Pages

Vegetation Detection Using Deep Learning and Conventional Methods

  • Bulent Ayhan,
  • Chiman Kwan,
  • Bence Budavari,
  • Liyun Kwan,
  • Yan Lu,
  • Daniel Perez,
  • Jiang Li,
  • Dimitrios Skarlatos and
  • Marinos Vlachos

4 August 2020

Land cover classification with the focus on chlorophyll-rich vegetation detection plays an important role in urban growth monitoring and planning, autonomous navigation, drone mapping, biodiversity conservation, etc. Conventional approaches usually a...

  • Article
  • Open Access
164 Citations
19,737 Views
26 Pages

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

  • Minh-Tan Pham,
  • Luc Courtrai,
  • Chloé Friguet,
  • Sébastien Lefèvre and
  • Alexandre Baussard

4 August 2020

Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and data availability, deep learning-based object detection methods have achiev...

  • Article
  • Open Access
24 Citations
6,772 Views
24 Pages

Using UAV Collected RGB and Multispectral Images to Evaluate Winter Wheat Performance across a Site Characterized by Century-Old Biochar Patches in Belgium

  • Ramin Heidarian Dehkordi,
  • Victor Burgeon,
  • Julien Fouche,
  • Edmundo Placencia Gomez,
  • Jean-Thomas Cornelis,
  • Frederic Nguyen,
  • Antoine Denis and
  • Jeroen Meersmans

4 August 2020

Remote sensing data play a crucial role in monitoring crop dynamics in the context of precision agriculture by characterizing the spatial and temporal variability of crop traits. At present there is special interest in assessing the long-term impacts...

  • Article
  • Open Access
43 Citations
15,605 Views
29 Pages

4 August 2020

An accelerating trend of global urbanization accompanying population growth makes frequently updated land use and land cover (LULC) maps critical. LULC maps have been widely created through the classification of remotely sensed imagery. Maps of urban...

  • Article
  • Open Access
57 Citations
8,540 Views
28 Pages

Landslide Susceptibility Assessment of Wildfire Burnt Areas through Earth-Observation Techniques and a Machine Learning-Based Approach

  • Mariano Di Napoli,
  • Palmira Marsiglia,
  • Diego Di Martire,
  • Massimo Ramondini,
  • Silvia Liberata Ullo and
  • Domenico Calcaterra

4 August 2020

Climate change has increased the likelihood of the occurrence of disasters like wildfires, floods, storms, and landslides worldwide in the last years. Weather conditions change continuously and rapidly, and wildfires are occurring repeatedly and diff...

  • Review
  • Open Access
47 Citations
10,885 Views
23 Pages

4 August 2020

An autonomous vessel uses multiple different radio technologies such as satellites, mobile networks and dedicated narrowband systems, to connect to other ships, services, and the remote operations center (ROC). In-ship communication is mainly impleme...

  • Article
  • Open Access
20 Citations
7,675 Views
31 Pages

Remote Sensing Analysis of Surface Temperature from Heterogeneous Data in a Maize Field and Related Water Stress

  • Marinella Masina,
  • Alessandro Lambertini,
  • Irene Daprà,
  • Emanuele Mandanici and
  • Alberto Lamberti

4 August 2020

Precision agriculture aims at optimizing crop production by adapting management actions to real needs and requires that a reliable and extensive description of soil and crop conditions is available, that multispectral satellite images can provide. Th...

  • Feature Paper
  • Article
  • Open Access
26 Citations
6,792 Views
17 Pages

4 August 2020

The spatial composition and configuration of land use land cover (LULC) in the urban landscape impact the land surface temperature (LST). In this study, we assessed such impacts at the neighbourhood level of the City of Edmonton. In doing so, we empl...

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Remote Sens. - ISSN 2072-4292