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Remote Sensing, Volume 13, Issue 6

March-2 2021 - 183 articles

Cover Story: Bark beetles are some of the most important drivers of change in forests throughout the Earth’s Northern Hemisphere. These native insects typically persist at low populations in conifer forests, yet irruptive outbreaks can also occur rapidly across large areas. Over the last 20 years, outbreaks of three bark beetle species (Dendroctonus rufipennis, Dendroctonus ponderosae, and Dryocoetes confusus), triggered by above-average drought conditions, have led to broad-scale forest mortality in the Southern Rocky Mountains, USA. Using Landsat time series with field validation, the effects of these outbreaks was quantified across this complex region. Over 10,000 km2 of subalpine forest area was affected by bark beetles; while effects of the outbreaks were severe in many places, they were highly variable across the region. View this paper
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Articles (183)

  • Article
  • Open Access
17 Citations
4,946 Views
17 Pages

23 March 2021

Land use/land cover (LULC) change has been recognized as one of the most important indicators to study ecological and environmental changes. Remote sensing provides an effective way to map and monitor LULC change in real time and for large areas. How...

  • Article
  • Open Access
6 Citations
4,329 Views
19 Pages

GPU-Based Parallel Implementation of VLBI Correlator for Deep Space Exploration System

  • Fan Zhang,
  • Chenxi Zhao,
  • Songtao Han,
  • Fei Ma and
  • Deliang Xiang

23 March 2021

Very Long Baseline Interferometry (VLBI) solution can yield accurate information of angular position, and has been successfully used in the field of deep space exploration, such as astrophysics, imaging, detector positioning, and so on. The increase...

  • Article
  • Open Access
16 Citations
4,747 Views
20 Pages

GPR-Based Automatic Identification of Root Zones of Influence Using HDBSCAN

  • Xihong Cui,
  • Zhenxian Quan,
  • Xuehong Chen,
  • Zheng Zhang,
  • Junxiong Zhou,
  • Xinbo Liu,
  • Jin Chen,
  • Xin Cao and
  • Li Guo

23 March 2021

The belowground root zone of influence (ZOI) is fundamental to the study of the root–root and root–soil interaction mechanisms of plants and is vital for understanding changes in plant community compositions and ecosystem processes. However, traditio...

  • Article
  • Open Access
9 Citations
3,526 Views
16 Pages

23 March 2021

Large-scale ecosystem restoration projects (ERPs) have been implemented since the beginning of the new millennium to restore vegetation and improve the ecosystem in Southwest China. However, quantifying the effects of specific restoration activities,...

  • Article
  • Open Access
18 Citations
7,225 Views
17 Pages

Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring Drought-Related Vegetation Conditions

  • Trenton D. Benedict,
  • Jesslyn F. Brown,
  • Stephen P. Boyte,
  • Daniel M. Howard,
  • Brian A. Fuchs,
  • Brian D. Wardlow,
  • Tsegaye Tadesse and
  • Kirk A. Evenson

23 March 2021

Vegetation has been effectively monitored using remote sensing time-series vegetation index (VI) data for several decades. Drought monitoring has been a common application with algorithms tuned to capturing anomalous temporal and spatial vegetation p...

  • Article
  • Open Access
49 Citations
5,215 Views
17 Pages

A Method of Segmenting Apples Based on Gray-Centered RGB Color Space

  • Pan Fan,
  • Guodong Lang,
  • Bin Yan,
  • Xiaoyan Lei,
  • Pengju Guo,
  • Zhijie Liu and
  • Fuzeng Yang

23 March 2021

In recent years, many agriculture-related problems have been evaluated with the integration of artificial intelligence techniques and remote sensing systems. The rapid and accurate identification of apple targets in an illuminated and unstructured na...

  • Article
  • Open Access
6 Citations
3,200 Views
18 Pages

A New Method for Extracting Individual Plant Bio-Characteristics from High-Resolution Digital Images

  • Saba Rabab,
  • Edmond Breen,
  • Alem Gebremedhin,
  • Fan Shi,
  • Pieter Badenhorst,
  • Yi-Ping Phoebe Chen and
  • Hans D. Daetwyler

23 March 2021

The extraction of automated plant phenomics from digital images has advanced in recent years. However, the accuracy of extracted phenomics, especially for individual plants in a field environment, requires improvement. In this paper, a new and effici...

  • Article
  • Open Access
6 Citations
2,734 Views
19 Pages

23 March 2021

As a popular research direction in the field of intelligent transportation, road detection has been extensively concerned by many researchers. However, there are still some key issues in specific applications that need to be further improved, such as...

  • Article
  • Open Access
30 Citations
4,954 Views
20 Pages

23 March 2021

Hydrological connectivity is an important characteristic of wetlands that maintains the stability and functions of an ecosystem. This study investigates the temporal variations of hydrological connectivity and their driving mechanism in Baiyangdian L...

  • Article
  • Open Access
12 Citations
4,376 Views
22 Pages

Spatio-Temporal Distribution of Deep Convection Observed along the Trans-Mexican Volcanic Belt

  • José Francisco León-Cruz,
  • Cintia Carbajal Henken,
  • Noel Carbajal and
  • Jürgen Fischer

23 March 2021

Complex terrain features—in particular, environmental conditions, high population density and potential socio-economic damage—make the Trans-Mexican Volcanic Belt (TMVB) of particular interest regarding the study of deep convection and related severe...

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Remote Sens. - ISSN 2072-4292