Tempo-differentially selected growth rate model development and improved extraction of remotely sensed phenology in the Qinghai-Tibet Plateau
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Tempo-differentially selected growth rate model development and improved extraction of remotely sensed phenology in the Qinghai-Tibet Plateau. / He, Dong; Zhou, Xiaobing; Huang, Xianglin; Zhang, Wenmin; Tian, Qingjiu; Xu, Nianxu; Xi, Yanbiao; Tian, Jia; Mumtaz, Faisal.
In: Journal of Applied Remote Sensing, Vol. 16, No. 1, 018501, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Tempo-differentially selected growth rate model development and improved extraction of remotely sensed phenology in the Qinghai-Tibet Plateau
AU - He, Dong
AU - Zhou, Xiaobing
AU - Huang, Xianglin
AU - Zhang, Wenmin
AU - Tian, Qingjiu
AU - Xu, Nianxu
AU - Xi, Yanbiao
AU - Tian, Jia
AU - Mumtaz, Faisal
N1 - Funding Information: We acknowledge the Project funded by the China Postdoctoral Science Foundation (No. 2021M701653), and Major Special Project—the China High-Resolution Earth Observation System (No. 30-Y30F06-9003-20/22), and the National Natural Science Foundation of China (Nos. 42101321 and 41771370) for funding us. In addition, the authors would like to thank the anonymous reviewers for providing their constructive comments. Publisher Copyright: © 2022 Society of Photo-Optical Instrumentation Engineers (SPIE).
PY - 2022
Y1 - 2022
N2 - We show an improvement in extraction of remotely sensed phenology in the Qinghai-Tibet Plateau (QTP). The improvement includes multiple preprocessing, newly proposed absolute growth rate and relative growth rate models based on botany and phenology, and selection of the appropriate growth rate model at different growing stages. We refer to this model as the tempo-differentially selected growth rate model (TDSGM). The newly developed TDSGM is a comprehensive and accurate remote sensing phenological extraction model without manual intervention, which is better than the current mainstream methods. Results show that: (1) influence of elevation and longitude on the QTP phenology has been more effective than that of latitude and vegetation types; (2) length of the growing season (LOS) was in a shortening trend in the long term, even it showed a slight extension in recent years in the short term; (3) the shortest LOS was identified in the area with an altitude of 3000 to 5500 m, which accounts for 90% of the total area of QTP. High instability of LOS was concentrated in meadows at 4000 to 5000 m; and (4) most previous studies on remotely sensed phenology showed that LOS was more related to the start of the growing season. However, we show that the LOSs of four out of seven QTP vegetation types were closely related to the end of the growth season, consistent with 1455 ground observations.
AB - We show an improvement in extraction of remotely sensed phenology in the Qinghai-Tibet Plateau (QTP). The improvement includes multiple preprocessing, newly proposed absolute growth rate and relative growth rate models based on botany and phenology, and selection of the appropriate growth rate model at different growing stages. We refer to this model as the tempo-differentially selected growth rate model (TDSGM). The newly developed TDSGM is a comprehensive and accurate remote sensing phenological extraction model without manual intervention, which is better than the current mainstream methods. Results show that: (1) influence of elevation and longitude on the QTP phenology has been more effective than that of latitude and vegetation types; (2) length of the growing season (LOS) was in a shortening trend in the long term, even it showed a slight extension in recent years in the short term; (3) the shortest LOS was identified in the area with an altitude of 3000 to 5500 m, which accounts for 90% of the total area of QTP. High instability of LOS was concentrated in meadows at 4000 to 5000 m; and (4) most previous studies on remotely sensed phenology showed that LOS was more related to the start of the growing season. However, we show that the LOSs of four out of seven QTP vegetation types were closely related to the end of the growth season, consistent with 1455 ground observations.
KW - growth rate
KW - phytophysiology
KW - Qinghai-Tibet Plateau
KW - vegetation phenology
U2 - 10.1117/1.JRS.16.018501
DO - 10.1117/1.JRS.16.018501
M3 - Journal article
AN - SCOPUS:85128167196
VL - 16
JO - Journal of Applied Remote Sensing
JF - Journal of Applied Remote Sensing
SN - 1931-3195
IS - 1
M1 - 018501
ER -
ID: 306114342