Research progress of ICESat-2/ATLAS data processing and applications

Article Properties
  • Language
    English
  • DOI (url)
    10.3788/irla20200259
  • Publication Date
    2020/01/01
  • Journal
    Infrared and Laser Engineering
  • Indian UGC (journal)
  • Citations
    3
  • 朱笑笑 Xiaoxiao Zhu
  • 王成 Cheng Wang
  • 习晓环 Xiaohuan Xi
  • 聂胜 Sheng Nie
  • 杨学博 Xuebo Yang
  • 黎东 Dong Li
Cite
Xiaoxiao Zhu 朱笑笑, et al. “Research Progress of ICESat-2 ATLAS Data Processing and Applications”. Infrared and Laser Engineering, vol. 49, no. 11, 2020, pp. 20200259-, https://doi.org/10.3788/irla20200259.
Xiaoxiao Zhu 朱., Cheng Wang 王., Xiaohuan Xi 习., Sheng Nie 聂., Xuebo Yang 杨., & Dong Li 黎. (2020). Research progress of ICESat-2/ATLAS data processing and applications. Infrared and Laser Engineering, 49(11), 20200259-20200259. https://doi.org/10.3788/irla20200259
Xiaoxiao Zhu 朱笑笑, Cheng Wang 王成, Xiaohuan Xi 习晓环, Sheng Nie 聂胜, Xuebo Yang 杨学博, and Dong Li 黎东. “Research Progress of ICESat-2 ATLAS Data Processing and Applications”. Infrared and Laser Engineering 49, no. 11 (2020): 20200259-59. https://doi.org/10.3788/irla20200259.
Xiaoxiao Zhu 朱, Cheng Wang 王, Xiaohuan Xi 习, Sheng Nie 聂, Xuebo Yang 杨, Dong Li 黎. Research progress of ICESat-2/ATLAS data processing and applications. Infrared and Laser Engineering. 2020;49(11):20200259-.
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Citations
Title Journal Journal Categories Citations Publication Date
Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Technology: Ocean engineering
  • Science: Physics: Geophysics. Cosmic physics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
  • Science: Geology
 2024
Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data IEEE Transactions on Geoscience and Remote Sensing
  • Science: Geology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Geology
 2023
Land Cover Classification Using ICESat-2 Photon Counting Data and Landsat 8 OLI Data: A Case Study in Yunnan Province, China IEEE Geoscience and Remote Sensing Letters
  • Science: Geology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Geology
 1 2022
Citations Analysis
Category Category Repetition
Science: Geology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Geography. Anthropology. Recreation: Geography (General)3
Technology: Photography3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Ocean engineering1
Science: Physics: Geophysics. Cosmic physics1
The category Science: Geology 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Land Cover Classification Using ICESat-2 Photon Counting Data and Landsat 8 OLI Data: A Case Study in Yunnan Province, China and was published in 2022. The most recent citation comes from a 2024 study titled Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning. This article reached its peak citation in 2024, with 1 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year