Practical recommendations and limitations for pushbroom hyperspectral imaging of tree stems

被引:1
|
作者
Juola, Jussi [1 ]
Hovi, Aarne [1 ]
Rautiainen, Miina [1 ]
机构
[1] Aalto Univ, Sch Engn, Dept Built Environm, Box 14100, Espoo 00076, Finland
基金
欧洲研究理事会;
关键词
Forest; Reflectance; Spectra; Bark; Hyperspectral; Field spectroscopy; Imaging; LEAF-AREA INDEX; CANOPY;
D O I
10.1016/j.rse.2023.113837
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this short communication, we present a pilot study testing a new close-range sensing technology - a portable, pushbroom hyperspectral camera - in varying field conditions in forests. We evaluate how measurement conditions affect the in situ collection of stem bark spectra. In situ spectral libraries of woody elements are needed in, e.g., physically-based remote sensing applications, biodiversity mapping, and 3D vegetation modeling. Recent technological advancements bring portable and close-range capable sensors, such as small pushbroom imaging spectrometers, for consumer and research use. However, it is important to investigate the strengths and limitations of sensors utilizing pushbroom technology. Spectral measurements under forest canopies are challenging due to varying illumination conditions, which can have a significant effect on the quality of the data. We acquired hyperspectral reflectance images of Norway spruce (Picea abies (L.) Karst), Scots pine (Pinus sylvestris L.), and silver birch (Betula pendula Roth) stem bark directly in the forest. For each tree we collected reflectance images at 30-minute intervals throughout a day from a fixed view angle. The most significant change in the measured spectra occurred due to spatially varying irradiance between the white reference panel and the bark surface. The spatial variation of irradiance had the largest effect on data quality in visible and red-edge regions, and the smallest in near-infrared. In non-diffuse conditions, changes in irradiance were often unpredictable as clouds or canopy elements moved in and out of the direct solar beams. Diffuse overcast days with clouds can extend the time window for measurements, making it a practical choice for acquiring hyperspectral images of stem bark. We concluded that with a well-planned measurement set-up it is possible to improve the precision of in situ collected spectra of stem bark.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Field deployable pushbroom hyperspectral imaging polarimeter
    Kudenov, Michael W.
    Lowenstern, Mariano E.
    Craven, Julia M.
    LaCasse, Charles F.
    OPTICAL ENGINEERING, 2017, 56 (10)
  • [2] Online deconvolution for pushbroom hyperspectral imaging systems
    Song, Yingying
    Djermoune, El-Hadi
    Chen, Jie
    Richard, Cedric
    Brie, David
    2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP), 2017,
  • [3] Calibration of a pushbroom hyperspectral imaging system for agricultural inspection
    Lawrence, Kurt C.
    Park, B.
    Windham, W.R.
    Mao, C.
    Transactions of the American Society of Agricultural Engineers, 2003, 46 (02): : 513 - 521
  • [4] Calibration of a pushbroom hyperspectral imaging system for agricultural inspection
    Lawrence, KC
    Park, B
    Windham, WR
    Mao, C
    TRANSACTIONS OF THE ASAE, 2003, 46 (02): : 513 - 521
  • [5] Compact prism spectrometer of pushbroom type for hyperspectral imaging
    Kaiser, Stefan
    Sang, Bernhard
    Schubert, Josef
    Hofer, Stefan
    Stuffler, Timo
    OPTICAL DESIGN AND ENGINEERING III, PTS 1 AND 2, 2008, 7100
  • [6] Pushbroom hyperspectral imaging system with selectable region of interest for medical imaging
    Lim, Hoong-Ta
    Murukeshan, Vadakke Matham
    JOURNAL OF BIOMEDICAL OPTICS, 2015, 20 (04)
  • [7] ON-LINE BLIND UNMIXING FOR HYPERSPECTRAL PUSHBROOM IMAGING SYSTEMS
    Nus, Ludivine
    Miron, Sebastian
    Brie, David
    2018 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2018, : 418 - 422
  • [8] A Digital Sensor Simulator of the Pushbroom Offner Hyperspectral Imaging Spectrometer
    Tao, Dongxing
    Jia, Guorui
    Yuan, Yan
    Zhao, Huijie
    SENSORS, 2014, 14 (12): : 23822 - 23842
  • [9] COMPRESSIVE PUSHBROOM AND WHISKBROOM SENSING FOR HYPERSPECTRAL REMOTE-SENSING IMAGING
    Fowler, James E.
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 684 - 688
  • [10] Instrumentation challenges of a pushbroom hyperspectral imaging system for currency counterfeit applications
    Lim, Hoong-Ta
    Matham, Murukeshan Vadakke
    INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2015), 2015, 9524