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Remote Sensing, Volume 12, Issue 5

March-1 2020 - 153 articles

Cover Story: Primary production by marine phytoplankton is one of the largest fluxes of carbon on our planet. In the past few decades, considerable progress has been made in estimating global primary production at high spatial and temporal scales by combining in situ measurements of primary production with remote sensing observations of phytoplankton biomass. Here, we address one of the major challenges in this approach by improving the assignment of appropriate model parameters that define the photosynthetic response of phytoplankton cells. A global database of over 9,000 in situ photosynthesis–irradiance measurements and a 20-year record of climate quality satellite observations were used to assess global primary production and its variability between 1998 and 2018.View this paper.
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Articles (153)

  • Article
  • Open Access
77 Citations
10,050 Views
17 Pages

Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR

  • Juan Picos,
  • Guillermo Bastos,
  • Daniel Míguez,
  • Laura Alonso and
  • Julia Armesto

10 March 2020

The present study addresses the tree counting of a Eucalyptus plantation, the most widely planted hardwood in the world. Unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) was used for the estimation of Eucalyptus trees. LiDAR-based es...

  • Article
  • Open Access
19 Citations
5,878 Views
18 Pages

10 March 2020

Prehistoric sites in NE Romania are facing major threats more than ever, both from natural and human-induced hazards. One of the main reasons are the climate change determined natural disasters, but human-induced activities should also not be neglect...

  • Feature Paper
  • Article
  • Open Access
24 Citations
5,568 Views
16 Pages

Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed

  • Rebekah B. Esmaili,
  • Nadia Smith,
  • Emily B. Berndt,
  • John F. Dostalek,
  • Brian H. Kahn,
  • Kristopher White,
  • Christopher D. Barnet,
  • William Sjoberg and
  • Mitchell Goldberg

10 March 2020

In this paper, we describe how researchers and weather forecasters work together to make satellite sounding data sets more useful in severe weather forecasting applications through participation in National Oceanic and Atmospheric Administration (NOA...

  • Article
  • Open Access
28 Citations
5,757 Views
17 Pages

10 March 2020

In many areas of the world, population growth and land development have increased demand for land and other natural resources. Coastal areas are particularly susceptible since they are conducive for marine transportation, energy production, aquacultu...

  • Article
  • Open Access
5 Citations
4,545 Views
22 Pages

10 March 2020

Soil moisture plays an important role in climate prediction and drought monitoring. Data assimilation, as a method of integrating multi-geographic spatial data, plays an increasingly important role in estimating soil moisture. Model prediction error,...

  • Feature Paper
  • Article
  • Open Access
7 Citations
4,328 Views
24 Pages

10 March 2020

Forest managers rely on accurate burn severity estimates to evaluate post-fire damage and to establish revegetation policies. Burn severity estimates based on reflective data acquired from sensors onboard satellites are increasingly complementing fie...

  • Article
  • Open Access
13 Citations
5,021 Views
23 Pages

Exploration for Object Mapping Guided by Environmental Semantics using UAVs

  • Reem Ashour,
  • Tarek Taha,
  • Jorge Manuel Miranda Dias,
  • Lakmal Seneviratne and
  • Nawaf Almoosa

10 March 2020

This paper presents a strategy to autonomously explore unknown indoor environments, focusing on 3D mapping of the environment and performing grid level semantic labeling to identify all available objects. Unlike conventional exploration techniques th...

  • Article
  • Open Access
18 Citations
5,904 Views
24 Pages

X-Net-Based Radar Data Assimilation Study over the Seoul Metropolitan Area

  • Ji-Won Lee,
  • Ki-Hong Min,
  • Young-Hee Lee and
  • GyuWon Lee

10 March 2020

This study investigates the ability of the high-resolution Weather Research and Forecasting (WRF) model to simulate summer precipitation with assimilation of X-band radar network data (X-Net) over the Seoul metropolitan area. Numerical data assimilat...

  • Letter
  • Open Access
126 Citations
7,779 Views
13 Pages

Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model

  • Peng Liu,
  • Yongming Wei,
  • Qinjun Wang,
  • Yu Chen and
  • Jingjing Xie

10 March 2020

Seismic landslides are the most common and highly destructive earthquake-triggered geological hazards. They are large in scale and occur simultaneously in many places. Therefore, obtaining landslide information quickly after an earthquake is the key...

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