SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA

被引:0
|
作者
Goebel, M. [1 ]
Iwaszczuk, D. [1 ]
机构
[1] Tech Univ Darmstadt, Remote Sensing & Images Anal, Darmstadt, Germany
关键词
Multi-Spectral Camera; MicaSense; NDVI; Vegetation; Remote Sensing;
D O I
10.5194/isprs-archives-XLVIII-1-W3-2023-63-2023
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Plants signal their health in a broader spectrum than we can see with our eyes. We compared sunlight reflectance on plants at spectral wavelengths ranging from 430 nm to 870 nm in our study. These are based on multispectral images captured at a distance of 2m. Indoor plants were observed over a period of 18 days and stressed due to a lack of sunlight or water. Wild sedge photographed on the forest floor at close range and with a difficult capture setup produced results comparable to published multispectral signatures derived from aerial imagery. Changes of leaf reflectance were noticed in spectral signatures and in vegetation indices. When calculating vegetation indices, our results show that comparing red and red edge reflectance values is superior to comparing red and NIR reflectance values.
引用
收藏
页码:63 / 69
页数:7
相关论文
共 50 条
  • [41] A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping
    Mishra, Puneet
    Sadeh, Roy
    Ryckewaert, Maxime
    Bino, Ehud
    Polder, Gerrit
    Boer, Martin P.
    Rutledge, Douglas N.
    Herrmann, Ittai
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 216
  • [42] Close-range photogrammetry with light field camera: from disparity map to absolute distance
    Yang, Peng
    Wang, Zhaomin
    Yan, Yizhen
    Qu, Weijuan
    Zhao, Hongying
    Asundi, Anand
    Yan, Lei
    APPLIED OPTICS, 2016, 55 (27) : 7477 - 7486
  • [43] KELSH K-460 STEREOMETRIC CAMERA - NEW TOOL FOR CLOSE-RANGE APPLICATIONS
    DANKO, JO
    CUZZI, JR
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1976, 42 (06): : 825 - 825
  • [44] Assessing the Accuracy and Feasibility of Using Close-Range Photogrammetry to Measure Channelized Erosion with a Consumer-Grade Camera
    Zheng, Fangzhou
    Wackrow, Rene
    Meng, Fan-Rui
    Lobb, David
    Li, Sheng
    REMOTE SENSING, 2020, 12 (11)
  • [45] Extrinsic calibration of a non-overlapping camera network based on close-range photogrammetry
    Dong, Shuai
    Shao, Xinxing
    Kang, Xin
    Yang, Fujun
    He, Xiaoyuan
    APPLIED OPTICS, 2016, 55 (23) : 6363 - 6370
  • [46] Automated crack segmentation in close-range building facade inspection images using deep learning techniques
    Chen, Kaiwen
    Reichard, Georg
    Xu, Xin
    Akanmu, Abiola
    JOURNAL OF BUILDING ENGINEERING, 2021, 43
  • [47] DSM MEASUREMENT FOR EXPOSED GRAVEL SURFACE USING CLOSE-RANGE PHOTOGRAMMETRY WITH MULTI-SCALE IMAGES
    Chung, Jui-Teng
    Wang, Chi-Kuei
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 471 - 474
  • [48] A STATISTICAL ANALYSIS FOR THE ASSESSMENT OF CLOSE-RANGE PHOTOGRAMMETRY GEOMETRICAL FEATURES
    di Filippo, A.
    Antinozzi, S.
    Dell'Amico, A.
    Sanseverino, A.
    OPTICAL 3D METROLOGY (O3DM), 2022, 48-2 (W2): : 28 - 35
  • [49] A detection method for occluded and overlapped apples under close-range targets
    Yuan, Yuhui
    Liu, Hubin
    Yang, Zengrong
    Zheng, Jianhua
    Li, Junhui
    Zhao, Longlian
    PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (01)
  • [50] Noncontact Modeling of Structures Using Close-Range Digital Photogrammetry
    Leitch, Kenneth R.
    Coon, Malcolm B.
    PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2012, 17 (04) : 161 - 165