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Remote Sensing, Volume 11, Issue 13

July-1 2019 - 123 articles

Cover Story: Despite recent research on the potential of dual polarimetry (DP) and full polarimetry (FP) synthetic aperture radar (SAR) data for crop mapping, the capability of compact polarimetry (CP) SAR data has not yet been thoroughly investigated. The inclusion of these beam modes on the Canadian RADARSAT Constellation Mission (RCM), launched in June 2019, makes such a study important and timely from both a research and operational perspective. While previous studies have illustrated the potential for accurate crop mapping using DP and FP SAR features, the contributions of each feature to model accuracy are not well understood. This study examines the potential of early- to mid-season RADARSAT-2 images for crop mapping in an agricultural region in Manitoba, Canada. View this paper.
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Articles (123)

  • Article
  • Open Access
6 Citations
5,931 Views
16 Pages

8 July 2019

Haiyang-2A (HY-2A) has been working in-flight for over seven years, and the accuracy of HY-2A calibration microwave radiometer (CMR) data is extremely important for the wet troposphere delay correction (WTC) in sea surface height (SSH) determination....

  • Article
  • Open Access
32 Citations
7,017 Views
22 Pages

8 July 2019

The classification of very-high-resolution (VHR) remote sensing images is essential in many applications. However, high intraclass and low interclass variations in these kinds of images pose serious challenges. Fully convolutional network (FCN) model...

  • Article
  • Open Access
99 Citations
9,648 Views
17 Pages

Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation

  • Wen Zhuo,
  • Jianxi Huang,
  • Li Li,
  • Xiaodong Zhang,
  • Hongyuan Ma,
  • Xinran Gao,
  • Hai Huang,
  • Baodong Xu and
  • Xiangming Xiao

8 July 2019

Crop yield estimation at a regional scale over a long period of time is of great significance to food security. In past decades, the integration of remote sensing observations and crop growth models has been recognized as a promising approach for cro...

  • Article
  • Open Access
36 Citations
5,600 Views
19 Pages

8 July 2019

Spatial features retrieved from satellite data play an important role for improving crop classification. In this study, we proposed a deep-learning-based time-series analysis method to extract and organize spatial features to improve parcel-based cro...

  • Article
  • Open Access
2 Citations
4,007 Views
23 Pages

8 July 2019

Differences between the wavelength band specifications of distinct sensors introduce systematic differences into the values of a spectral vegetation index (VI). Such relative errors must be minimized algorithmically after data acquisition, based on a...

  • Article
  • Open Access
16 Citations
5,505 Views
19 Pages

8 July 2019

Low Earth orbit (LEO) satellites play an important role in human space activities, and market demands for commercial uses of LEO satellites have been increasing rapidly in recent years. LEO satellites mainly consist of Earth observation satellites (E...

  • Article
  • Open Access
13 Citations
4,204 Views
27 Pages

8 July 2019

In real-time onboard hyperspectral-image(HSI) anomalous targets detection, processing speed and accuracy are equivalently desirable which is hard to satisfy at the same time. To improve detection accuracy, deep learning based HSI anomaly detectors (A...

  • Feature Paper
  • Article
  • Open Access
25 Citations
8,127 Views
29 Pages

Evaluation of Earth Observation Solutions for Namibia’s SDG Monitoring System

  • Vincent Mariathasan,
  • Enrico Bezuidenhoudt and
  • K. Raymond Olympio

7 July 2019

In recent years, with more open data platforms and tools available to store and process satellite imagery, Earth Observation data have become widely accessible and usable especially for countries previously not in the possession of tasking rights to...

  • Article
  • Open Access
24 Citations
6,639 Views
50 Pages

Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake

  • Caitlin A.L. Riddick,
  • Peter D. Hunter,
  • José Antonio Domínguez Gómez,
  • Victor Martinez-Vicente,
  • Mátyás Présing,
  • Hajnalka Horváth,
  • Attila W. Kovács,
  • Lajos Vörös,
  • Eszter Zsigmond and
  • Andrew N. Tyler

7 July 2019

To date, several algorithms for the retrieval of cyanobacterial phycocyanin (PC) from ocean colour sensors have been presented for inland waters, all of which claim to be robust models. To address this, we conducted a comprehensive comparison to iden...

  • Article
  • Open Access
7 Citations
5,198 Views
19 Pages

6 July 2019

In this paper, an ocean wave measurement technique and a newly developed short-range K-band radar are tested. In previous work, the technique and its feasibility were studied based on numerical simulations and wave tank experiments, while its perform...

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Remote Sens. - ISSN 2072-4292