Journal of Agricultural Science and Technology
Journal of Agricultural Science and Technology
JAST
Agriculture
http://jast.modares.ac.ir
1
admin
1680-7073
2345-3737
10.22034/jast
en
jalali
1394
12
1
gregorian
2016
3
1
18
2
online
1
fulltext
en
Estimating and Validating Wheat Leaf Water Content with Three MODIS Spectral Indexes: A Case Study in Ningxia Plain, China
Water content plays an important role in the process of plant photosynthesis and biomass accumulation. Many methods have been developed to retrieve canopy leaf water content from remote sensing data. However, the validity of these methods has not been verified, which limits their applications. This study estimates the Leaf Water Content (LWC) of winter wheat with three most widely used indexes: Normalized Difference Water Index (NDWI), Simple Ratio (SR), and Shortwave Infrared Perpendicular Water Stress Index (SPSI), as well as MODIS short wave and near infrared data, and then compares remote sensing estimates of vegetation water content with field-measured values measured in concurrent dates. The results indicate that the three indexes are significantly correlated with the LWC of winter wheat at the 0.01 significance level. They all have good accuracy with higher than 90%. The indexes derived from MODIS bands 6 and 2 were better than those from bands 7 and 2 for measuring wheat leaf water content, and the correlations of the former two (NDWI and SR) were stronger than that of <em>SPSI</em>.
Near infrared band,Remote Sensing,Short wave infrared band. Spectral characteristic index,Validation
387
398
http://jast.modares.ac.ir/browse.php?a_code=A-23-1000-3985&slc_lang=en&sid=23
S.
Zhao
S.
Zhao
100319475328460044832
100319475328460044832
Yes
Satellite Environmental Center, Ministry of Environmental Protection, Beijing, 100094, Peoples Republic’s of China.
Satellite Environmental Center, Ministry of Environmental Protection, Beijing, 100094, Peoples Republic’s of China.
Q.
Wang
Q.
Wang
100319475328460045620
100319475328460045620
No
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing, 100101, Peoples Republic’s of China.
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing, 100101, Peoples Republic’s of China.
Y.
Yao
Y.
Yao
100319475328460046464
100319475328460046464
No
School of Geography, Beijing Normal University. Beijing, 100875, Peoples Republic’s of China.
School of Geography, Beijing Normal University. Beijing, 100875, Peoples Republic’s of China.
S.
Du
S.
Du
100319475328460046437
100319475328460046437
No
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, 100871, Peoples Republic’s of China.
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, 100871, Peoples Republic’s of China.
C.
Zhang
C.
Zhang
100319475328460046258
100319475328460046258
No
College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong, 271018, Peoples Republic’s of China.
College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong, 271018, Peoples Republic’s of China.
J.
Li
J.
Li
100319475328460045773
100319475328460045773
No
Ningxia Provincial Institute of Meteorology, Yinchuan, 750002, Peoples Republic’s of China.
Ningxia Provincial Institute of Meteorology, Yinchuan, 750002, Peoples Republic’s of China.
J.
Zhao
J.
Zhao
100319475328460044830
100319475328460044830
No
Xuchang Environmental Monitoring Center, Henan Province, Xuchang, 461000, Peoples Republic’s of China.
Xuchang Environmental Monitoring Center, Henan Province, Xuchang, 461000, Peoples Republic’s of China.