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Remote Sensing, Volume 13, Issue 16

August-2 2021 - 287 articles

Cover Story: Management of fertilizers is an important agricultural practice and field of research to minimize environmental impacts and cost of production. Applying fertilizer at the right rate, time, and place depends on the crop type, desired yield, and field conditions. In this paper, unmanned aerial vehicle multispectral imagery, vegetation indices, crop height, field topographic metrics, and soil properties were combined in machine learning models to predict canopy nitrogen (N). Compared to common modeling using only spectral variables, the inclusion of crop and environmental parameters improved N prediction allowing for more effective and efficient N fertilizer applications. The cover image was taken during ground data collection in the corn field, highlighting both the contrast and combination of nature and technology in agriculture today. View this paper.
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Articles (287)

  • Article
  • Open Access
28 Citations
7,595 Views
21 Pages

Identifying Individual Nutrient Deficiencies of Grapevine Leaves Using Hyperspectral Imaging

  • Sourabhi Debnath,
  • Manoranjan Paul,
  • D. M. Motiur Rahaman,
  • Tanmoy Debnath,
  • Lihong Zheng,
  • Tintu Baby,
  • Leigh M. Schmidtke and
  • Suzy Y. Rogiers

23 August 2021

The efficiency of a vineyard management system is directly related to the effective management of nutritional disorders, which significantly downgrades vine growth, crop yield and wine quality. To detect nutritional disorders, we successfully extract...

  • Article
  • Open Access
21 Citations
4,057 Views
16 Pages

High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning

  • Yun Zhang,
  • Jiwei Yin,
  • Shuhu Yang,
  • Wanting Meng,
  • Yanling Han and
  • Ziyu Yan

23 August 2021

In response to the deficiency of the detection capability of traditional remote sensing means (scatterometer, microwave radiometer, etc.) for high wind speed above 25 m/s, this paper proposes a GNSS-R technique combined with a machine learning method...

  • Article
  • Open Access
12 Citations
3,164 Views
19 Pages

Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar

  • Zhuang Wang,
  • Cheng Liu,
  • Yunsheng Dong,
  • Qihou Hu,
  • Ting Liu,
  • Yizhi Zhu and
  • Chengzhi Xing

23 August 2021

The polarization–Raman Lidar combined sun photometer is a powerful method for separating dust and urban haze backscatter, extinction, and mass concentrations. The observation was performed in Beijing during the 2019 National Day parade, the particle...

  • Article
  • Open Access
14 Citations
5,895 Views
25 Pages

Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests

  • Jing Liu,
  • Longhui Li,
  • Markku Akerblom,
  • Tiejun Wang,
  • Andrew Skidmore,
  • Xi Zhu and
  • Marco Heurich

23 August 2021

The in situ leaf area index (LAI) measurement plays a vital role in calibrating and validating satellite LAI products. Digital hemispherical photography (DHP) is a widely used in situ forest LAI measurement method. There have been many software progr...

  • Article
  • Open Access
49 Citations
4,716 Views
17 Pages

23 August 2021

The 21 May 2021 Maduo earthquake was the largest event to occur on a secondary fault in the interior of the active Bayanhar block on the north-central Tibetan plateau in the last twenty years. A detailed kinematic study of the Maduo earthquake helps...

  • Article
  • Open Access
88 Citations
10,506 Views
16 Pages

23 August 2021

GNSS time-series prediction plays an important role in the monitoring of crustal plate movement, and dam or bridge deformation, and the maintenance of global or regional coordinate frames. Deep learning is a state-of-the-art approach for extracting h...

  • Article
  • Open Access
33 Citations
6,237 Views
12 Pages

Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations

  • Mingshan Duan,
  • Jiangjiang Xia,
  • Zhongwei Yan,
  • Lei Han,
  • Lejian Zhang,
  • Hanmeng Xia and
  • Shuang Yu

23 August 2021

Radar reflectivity (RR) greater than 35 dBZ usually indicates the presence of severe convective weather, which affects a variety of human activities, including aviation. However, RR data are scarce, especially in regions with poor radar coverage or s...

  • Article
  • Open Access
166 Citations
8,490 Views
32 Pages

Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019

  • Han Zhai,
  • Chaoqun Lv,
  • Wanzeng Liu,
  • Chao Yang,
  • Dasheng Fan,
  • Zikun Wang and
  • Qingfeng Guan

23 August 2021

Exploring land use structure and dynamics is critical for urban planning and management. This study attempts to understand the Wuhan development mode since the beginning of the 21st century by profoundly investigating the spatio-temporal patterns of...

  • Article
  • Open Access
17 Citations
5,594 Views
29 Pages

Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning

  • Yushan Zhang,
  • Kun Wu,
  • Jinglin Zhang,
  • Feng Zhang,
  • Haixia Xiao,
  • Fuchang Wang,
  • Jianyin Zhou,
  • Yi Song and
  • Liang Peng

23 August 2021

The lack of accurate estimation of intense precipitation is a universal limitation in precipitation retrieval. Therefore, a new rainfall retrieval technique based on the Random Forest (RF) algorithm is presented using the Advanced Himawari Imager-8 (...

  • Article
  • Open Access
1 Citations
2,461 Views
20 Pages

23 August 2021

This paper proposes an imaging algorithm for synthetic aperture radar (SAR) mounted on a high-speed maneuvering platform with squint terrain observation by progressive scan mode. To overcome the mismatch between range model and the signal after range...

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Remote Sens. - ISSN 2072-4292