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Remote Sensing, Volume 10, Issue 11

November 2018 - 189 articles

Cover Story: Farmers should be cautious of “off-the-shelf” drone image products, as they are unlikely to provide accurate information about the health of their crops. Despite the potential benefits of drone imagery to farmers, who seek regularly updated maps of individual trees and plants, this research shows that the multi-spectral images collected from drones must be processed with proper radiometric correction to accurately map and measure tree and plant properties. Correcting for variations due to drone-based image data collecting practice and associated variations in solar illumination properties was identified as the largest challenge to deliver image data suited to mapping changes in crop properties over time. Such inconsistencies could result in farmers being given the wrong information about their crops if the data are not processed by experienced operators with remote sensing expertise. View Paper here.
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Articles (189)

  • Article
  • Open Access
24 Citations
4,897 Views
27 Pages

21 November 2018

Different kinds of radiative transfer models, including a relative sunshine-based model (BBM), a physical-based model for tropical environment (PBM), an efficient physical-based model (EPP), a look-up-table-based model (LUT), and six artificial intel...

  • Article
  • Open Access
76 Citations
7,077 Views
19 Pages

21 November 2018

The potential of Global Navigation Satellite Systems-Reflectometry (GNSS-R) techniques to estimate land surface parameters such as soil moisture (SM) is experimentally studied using 2014–2017 global data from the UK TechDemoSat-1 (TDS-1) missio...

  • Article
  • Open Access
15 Citations
5,290 Views
24 Pages

21 November 2018

Characterizing 3-D structure of clouds is needed for a more complete understanding of the Earth’s radiative and latent heat fluxes. Here we develop and explore a ray casting algorithm applied to data from the Multi-angle Imaging SpectroRadiomet...

  • Article
  • Open Access
57 Citations
6,754 Views
18 Pages

20 November 2018

Due to the advantages of wide coverage and continuity, remotely sensed data are widely used for large-scale drought monitoring to compensate for the deficiency and discontinuity of meteorological data. However, few studies have focused on the capabil...

  • Article
  • Open Access
44 Citations
6,422 Views
23 Pages

20 November 2018

Accurate estimation of precipitation is critical for hydrological, meteorological, and climate models. This study evaluates the performance of satellite-based precipitation products (SPPs) including Global Precipitation Measurement (GPM)-based Integr...

  • Article
  • Open Access
25 Citations
4,459 Views
17 Pages

A Noise-Resilient Online Learning Algorithm for Scene Classification

  • Ling Jian,
  • Fuhao Gao,
  • Peng Ren,
  • Yunquan Song and
  • Shihua Luo

20 November 2018

The proliferation of remote sensing imagery motivates a surge of research interest in image processing such as feature extraction and scene recognition, etc. Among them, scene recognition (classification) is a typical learning task that focuses on ex...

  • Article
  • Open Access
7 Citations
4,016 Views
20 Pages

A Point Pattern Chamfer Registration of Optical and SAR Images Based on Mesh Grids

  • Chu He,
  • Peizhang Fang,
  • Dehui Xiong,
  • Wenwei Wang and
  • Mingsheng Liao

20 November 2018

Automatic image registration of optical-to-Synthetic aperture radar (SAR) images is difficult because of the inconsistency of radiometric and geometric properties between the optical image and the SAR image. The intensity-based methods may require ma...

  • Article
  • Open Access
19 Citations
4,689 Views
18 Pages

Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped Residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data

  • Yang Zhang,
  • Zhengqiang Li,
  • Zhihong Liu,
  • Juan Zhang,
  • Lili Qie,
  • Yisong Xie,
  • Weizhen Hou,
  • Yongqian Wang and
  • Zhixiang Ye

20 November 2018

The fine-mode aerosol optical depth (AODf) is an important parameter for the environment and climate change study, which mainly represents the anthropogenic aerosols component. The Polarization and Anisotropy of Reflectances for Atmospheric Science c...

  • Feature Paper
  • Article
  • Open Access
32 Citations
5,688 Views
22 Pages

The AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western France

  • A. Al-Yaari,
  • S. Dayau,
  • C. Chipeaux,
  • C. Aluome,
  • A. Kruszewski,
  • D. Loustau and
  • J.-P. Wigneron

20 November 2018

Global soil moisture (SM) products are currently available thanks to microwave remote sensing techniques. Validation of these satellite-based SM products over different vegetation and climate conditions is a crucial step. INRA (National Institute of...

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