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Remote Sensing, Volume 12, Issue 15

August-1 2020 - 164 articles

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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

Articles (164)

  • Editorial
  • Open Access
20 Citations
8,235 Views
8 Pages

Remote Sensing for Land Administration

  • Rohan Bennett,
  • Peter van Oosterom,
  • Christiaan Lemmen and
  • Mila Koeva

4 August 2020

Land administration constitutes the socio-technical systems that govern land tenure, use, value and development within a jurisdiction. The land parcel is the fundamental unit of analysis. Each parcel has identifiable boundaries, associated rights, an...

  • Article
  • Open Access
19 Citations
3,710 Views
15 Pages

4 August 2020

In this study, we performed preliminary comparative evaluation and correction of two-dimensional sea surface height (SSH) data from the Chinese Tiangong-2 Interferometric Imaging Radar Altimeter (InIRA) with the goal of advancing its retrieval. Data...

  • Article
  • Open Access
46 Citations
9,089 Views
20 Pages

Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia

  • Farhan Mustafa,
  • Lingbing Bu,
  • Qin Wang,
  • Md. Arfan Ali,
  • Muhammad Bilal,
  • Muhammad Shahzaman and
  • Zhongfeng Qiu

4 August 2020

Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing the atmospheric carbon dioxide (CO2) emissions. For a better understanding of CO2 variation trends over...

  • Feature Paper
  • Article
  • Open Access
37 Citations
7,457 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
5,733 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
88 Citations
17,772 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
156 Citations
19,360 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
6,650 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
42 Citations
15,214 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
56 Citations
8,354 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...

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