Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 537(2022)
Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics
[1] Ruza A, Skudra I[D]. Rural Sustainability Research, 37, 29(2017).
[6] Buddenbaum H, Paschmionka B, Stern O et al[D]. Int. J. Remote Sens., 36, 4590(2015).
[7] Dong R, Li Y, Shao W et al[D]. Journal of Near Infrared Spectroscopy, 26, 95(2018).
[13] Barber J, Dockray M, Horler D N H et al[D]. Advances in Space Research, 3, 273(1983).
[14] Blackburn G A[D]. Remote Sensing of Environment, 66, 273(1998).
[18] Jiang J, Li Y, Sun Y et al[D]. Plant Methods, 15, 73(2019).
[19] Moses Azong Cho, Renaud Mathieu, Russell Main et al[D]. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 751(2011).
Get Citation
Copy Citation Text
Yi-heng WANG, Kun SUN, Zhe WEN, Ying-bo SUO, Qu ZHANG, Ge-rong WANG, Jin-hua WEI. Prediction of Conifer Pigment Content Based on Color Parameters and Hyperspectral Characteristics[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 537
Category: Research Articles
Received: Jan. 21, 2021
Accepted: Feb. 24, 2021
Published Online: Apr. 2, 2022
The Author Email: Yi-heng WANG (1873900274@qq.com)