PMID- 31257775
OWN - NLM
STAT- MEDLINE
DCOM- 20190806
LR  - 20190806
IS  - 1001-9332 (Print)
IS  - 1001-9332 (Linking)
VI  - 30
IP  - 6
DP  - 2019 Jun
TI  - [Fraction of absorbed photosynthetically active radiation over summer maize 
      canopy estimated by hyperspectral remote sensing under different drought 
      conditions.].
PG  - 2021-2029
LID - 10.13287/j.1001-9332.201906.041 [doi]
AB  - Fraction of absorbed photosynthetically active radiation (fAPAR) is one of the 
      important remote sensing model parameters of vegetation productivity. However, 
      the crop canopy fAPAR estimation during growing season under different drought 
      conditions has not been reported yet. In this study, the characteristics of 
      summer maize canopy fAPAR and spectral reflectance during growing season under 
      different drought stresses and the relationships of fAPAR with reflectance, the 
      first derivative spectral reflectance and vegetation indices were examined based 
      on the hyperspectral reflectance and fAPAR data from the summer maize drought 
      manipulation experiment with five irrigation levels in 2015. Under mild water 
      stress and sufficient water supply conditions, fAPAR was higher, with the maximum 
      value of 0.7. Under severe water stress and severe persistent drought, fAPAR was 
      lower, with the minimum value of 0.06. Reflectance of visible and shortwave bands 
      increased and near infrared reflectance decreased with increasing drought. The 
      fAPAR was negatively related with visible bands and shortwave bands, but 
      positively correlated with near infrared. Visible and shortwave band reflectance 
      had significant correlation with fAPAR, especially at 383, 680 and 1980 nm, with 
      all the correlation coefficients being more than -0.87. The strong and stable 
      relationship between the first derivative spectral reflectance and fAPAR appeared 
      at 580, 720 and 1546 nm, with the correlation coefficients being -0.91, 0.89 and 
      0.88, respectively. There were linear or logarithm relationships between fAPAR 
      with nine vegetation indices. Among the nine indices, the enhanced vegetation 
      index (EVI), renormalized difference vegetation index (RDVI), soil adjusted 
      vegetation index (SAVI), and modified soil adjusted vegetation index (MSAVI) 
      performed well with the correlation coefficient being higher than 0.88, and the 
      average relative error (RMAE) 16.6%, 16.6%, 16.7% and 16.2%, respectively. Based 
      on the logarithmic relationship between first derivative spectral reflectance and 
      fAPAR, the simulation effect was best at the band of (720+/-5) nm, with a 
      correlation coefficient of 0.86. The correlation coefficient of the relationship 
      between fAPAR and reflectance was less than 0.81. The results could provide fAPAR 
      simulation for remote sensing model of vegetation productivity and drought 
      warning.
FAU - Liu, Er Hua
AU  - Liu EH
AD  - Chinese Academy of Meteorological Sciences, Beijing 100081, China.
FAU - Zhou, Guang Sheng
AU  - Zhou GS
AD  - Chinese Academy of Meteorological Sciences, Beijing 100081, China.
AD  - Collaborative Innovation Center on Forecast Meteorological Disaster Warning and 
      Assessment, Nanjing University of Information Science & Technology, Nanjing 
      210044, China.
FAU - Zhou, Li
AU  - Zhou L
AD  - Chinese Academy of Meteorological Sciences, Beijing 100081, China.
LA  - chi
PT  - Journal Article
TT  - 不同干旱条件下夏玉米全生育期冠层吸收光合有效辐射比的高光谱遥感反演.
PL  - China
TA  - Ying Yong Sheng Tai Xue Bao
JT  - Ying yong sheng tai xue bao = The journal of applied ecology
JID - 9425159
RN  - 0 (Soil)
MH  - *Droughts
MH  - Photosynthesis
MH  - Plant Leaves
MH  - Remote Sensing Technology
MH  - Seasons
MH  - Soil
MH  - *Zea mays
OTO - NOTNLM
OT  - drought
OT  - fraction of absorbed photosynthetically active radiation
OT  - hyperspectral
OT  - model
OT  - reflectance
OT  - summer maize
OT  - the first derivative spectral reflectance
OT  - vegetation index
EDAT- 2019/07/02 06:00
MHDA- 2019/08/07 06:00
CRDT- 2019/07/02 06:00
PHST- 2019/07/02 06:00 [entrez]
PHST- 2019/07/02 06:00 [pubmed]
PHST- 2019/08/07 06:00 [medline]
AID - 10.13287/j.1001-9332.201906.041 [doi]
PST - ppublish
SO  - Ying Yong Sheng Tai Xue Bao. 2019 Jun;30(6):2021-2029. doi: 
      10.13287/j.1001-9332.201906.041.