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Remote Sensing, Volume 12, Issue 11

June-1 2020 - 208 articles

Cover Story: Wetland ecosystem services, such as water storage and food sources, are largely dependent on hydrological dynamics. Constant monitoring of the spatial extent of water surfaces and the duration of flooding of a wetland is necessary to understand the impact of drought on the ecosystem services a wetland provides. Synthetic aperture radar (SAR) has the potential to reveal wetland dynamics. This paper proposes a Gaussian process-based temporal interpolation (GPTI) method that enables the synergistic use of SAR images taken from multiple paths. The proposed model is applied to a series of Sentinel-1 images capturing wetlands in Washington State, USA. Our experimental analysis demonstrates that the multiple path analysis based on the proposed method can extract seasonal changes more accurately than a single path analysis. View this paper
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Articles (208)

  • Article
  • Open Access
57 Citations
6,945 Views
30 Pages

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

  • Alireza Arabameri,
  • Omid Asadi Nalivan,
  • Sunil Saha,
  • Jagabandhu Roy,
  • Biswajeet Pradhan,
  • John P. Tiefenbacher and
  • Phuong Thao Thi Ngo

11 June 2020

Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development. The Golestan Dam basin, where soi...

  • Review
  • Open Access
14 Citations
4,994 Views
18 Pages

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories

  • Ronald E. McRoberts,
  • Erik Næsset,
  • Christophe Sannier,
  • Stephen V. Stehman and
  • Erkki O. Tomppo

11 June 2020

For tropical countries that do not have extensive ground sampling programs such as national forest inventories, the gain-loss approach for greenhouse gas inventories is often used. With the gain-loss approach, emissions and removals are estimated as...

  • Article
  • Open Access
29 Citations
8,909 Views
28 Pages

remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities

  • Matus Bakon,
  • Richard Czikhardt,
  • Juraj Papco,
  • Jan Barlak,
  • Martin Rovnak,
  • Peter Adamisin and
  • Daniele Perissin

11 June 2020

Multi-temporal synthetic aperture radar interferometry (MT-InSAR) is nowadays a well-developed remote sensing technique for monitoring of Earth’s surface deformation. The availability of regular and open Copernicus Sentinel-1 satellite data wit...

  • Article
  • Open Access
56 Citations
5,077 Views
25 Pages

A Novel Privacy Approach of Digital Aerial Images Based on Mersenne Twister Method with DNA Genetic Encoding and Chaos

  • Fawad Masood,
  • Wadii Boulila,
  • Jawad Ahmad,
  • Arshad,
  • Syam Sankar,
  • Saeed Rubaiee and
  • William J. Buchanan

11 June 2020

Aerial photography involves capturing images from aircraft and other flying objects, including Unmanned Aerial Vehicles (UAV). Aerial images are used in many fields and can contain sensitive information that requires secure processing. We proposed an...

  • Article
  • Open Access
27 Citations
6,114 Views
14 Pages

11 June 2020

Time-series of vegetation greenness data, derived from Earth-observation imagery, have become a key source of information for studying large-scale environmental change. The ever increasing length of such series allows for a range of indicators to be...

  • Article
  • Open Access
27 Citations
6,506 Views
26 Pages

KDA3D: Key-Point Densification and Multi-Attention Guidance for 3D Object Detection

  • Jiarong Wang,
  • Ming Zhu,
  • Bo Wang,
  • Deyao Sun,
  • Hua Wei,
  • Changji Liu and
  • Haitao Nie

11 June 2020

In this paper, we propose a novel 3D object detector KDA3D, which achieves high-precision and robust classification, segmentation, and localization with the help of key-point densification and multi-attention guidance. The proposed end-to-end neural...

  • Article
  • Open Access
39 Citations
6,289 Views
17 Pages

11 June 2020

In a climate-change context, the advancement of phenological stages may endanger viticultural areas in the event of a late frost. This study evaluated the potential of satellite-based remote sensing to assess the damage and the recovery time after a...

  • Article
  • Open Access
5 Citations
3,970 Views
19 Pages

The Estimation of Surface Albedo from DSCOVR EPIC

  • Qiuyue Tian,
  • Qiang Liu,
  • Jie Guang,
  • Leiku Yang,
  • Hanwei Zhang,
  • Cheng Fan,
  • Yahui Che and
  • Zhengqiang Li

11 June 2020

Surface albedo is an important parameter in climate models. The main way to obtain continuous surface albedo for large areas is satellite remote sensing. However, the existing albedo products rarely meet daily-scale requirements, which has a large im...

  • Article
  • Open Access
24 Citations
4,641 Views
22 Pages

11 June 2020

Polar regions are too harsh to be continuously observed using ocean color (OC) sensors because of various limitations due to low solar elevations, ice effects, peculiar phytoplankton photosynthetic parameters, optical complexity of seawater and persi...

  • Article
  • Open Access
34 Citations
8,643 Views
22 Pages

11 June 2020

Synthetic Aperture Radar has a unique potential for continuous forest mapping as it is not affected by cloud cover. While longer wavelengths, such as L-band, are commonly used for forest applications, in this paper we assess the aptitude of C-band Se...

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Remote Sens. - ISSN 2072-4292