Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat
Real-time monitoring of nitrogen status in rice and wheat plant is of significant importance for nitrogen diagnosis, fertilization recommendation, and productivity prediction. With 11 field experiments involving different cultivars, nitrogen rates, and water regimes, time-course measurements were ta...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2012-12-01
|
| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311912604572 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849251152892264448 |
|---|---|
| author | Wei WANG Xia YAO Yong-chao TIAN Xiao-jun LIU Jun NI Wei-xing CAO Yan ZHU |
| author_facet | Wei WANG Xia YAO Yong-chao TIAN Xiao-jun LIU Jun NI Wei-xing CAO Yan ZHU |
| author_sort | Wei WANG |
| collection | DOAJ |
| description | Real-time monitoring of nitrogen status in rice and wheat plant is of significant importance for nitrogen diagnosis, fertilization recommendation, and productivity prediction. With 11 field experiments involving different cultivars, nitrogen rates, and water regimes, time-course measurements were taken of canopy hyperspectral reflectance between 350-2 500 nm and leaf nitrogen accumulation (LNA) in rice and wheat. A new spectral analysis method through the consideration of characteristics of canopy components and plant growth status varied with phenological growth stages was designed to explore the common central bands in rice and wheat. Comprehensive analyses were made on the quantitative relationships of LNA to soil adjusted vegetation index (SAVI) and ratio vegetation index (RVI) composed of any two bands between 350-2 500 nm in rice and wheat. The results showed that the ranges of indicative spectral reflectance were largely located in 770-913 and 729-742 nm in both rice and wheat. The optimum spectral vegetation index for estimating LNA was SAVI (R822, R738) during the early-mid period (from jointing to booting), and it was RVI (R822, R738) during the mid-late period (from heading to filling) with the common central bands of 822 and 738 nm in rice and wheat. Comparison of the present spectral vegetation indices with previously reported vegetation indices gave a satisfactory performance in estimating LNA. It is concluded that the spectral bands of 822 and 738 nm can be used as common reflectance indicators for monitoring leaf nitrogen accumulation in rice and wheat. |
| format | Article |
| id | doaj-art-81263b2beda440fd983b533ef19ed32c |
| institution | Kabale University |
| issn | 2095-3119 |
| language | English |
| publishDate | 2012-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-81263b2beda440fd983b533ef19ed32c2025-08-20T03:57:03ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192012-12-0111122001201210.1016/S2095-3119(12)60457-2Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and WheatWei WANG0Xia YAO1Yong-chao TIAN2Xiao-jun LIU3Jun NI4Wei-xing CAO5Yan ZHU6National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaNational Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaCorrespondence ZHU Yan, Tel: +86-25-84396598, Fax: +86-25-84396672; National Engineering and Technology Center for Information Agriculture, Ministry of Industry and Information Technology/Key Laboratory for Information Agriculture, Science and Technology Department of Jiangsu Province/College of Agriculture, Nanjing Agricultural University, Nanjing 210095, P.R. ChinaReal-time monitoring of nitrogen status in rice and wheat plant is of significant importance for nitrogen diagnosis, fertilization recommendation, and productivity prediction. With 11 field experiments involving different cultivars, nitrogen rates, and water regimes, time-course measurements were taken of canopy hyperspectral reflectance between 350-2 500 nm and leaf nitrogen accumulation (LNA) in rice and wheat. A new spectral analysis method through the consideration of characteristics of canopy components and plant growth status varied with phenological growth stages was designed to explore the common central bands in rice and wheat. Comprehensive analyses were made on the quantitative relationships of LNA to soil adjusted vegetation index (SAVI) and ratio vegetation index (RVI) composed of any two bands between 350-2 500 nm in rice and wheat. The results showed that the ranges of indicative spectral reflectance were largely located in 770-913 and 729-742 nm in both rice and wheat. The optimum spectral vegetation index for estimating LNA was SAVI (R822, R738) during the early-mid period (from jointing to booting), and it was RVI (R822, R738) during the mid-late period (from heading to filling) with the common central bands of 822 and 738 nm in rice and wheat. Comparison of the present spectral vegetation indices with previously reported vegetation indices gave a satisfactory performance in estimating LNA. It is concluded that the spectral bands of 822 and 738 nm can be used as common reflectance indicators for monitoring leaf nitrogen accumulation in rice and wheat.http://www.sciencedirect.com/science/article/pii/S2095311912604572spectral bandvegetation indexleaf nitrogen accumulation (LNA)ricewheat |
| spellingShingle | Wei WANG Xia YAO Yong-chao TIAN Xiao-jun LIU Jun NI Wei-xing CAO Yan ZHU Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat Journal of Integrative Agriculture spectral band vegetation index leaf nitrogen accumulation (LNA) rice wheat |
| title | Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat |
| title_full | Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat |
| title_fullStr | Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat |
| title_full_unstemmed | Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat |
| title_short | Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice and Wheat |
| title_sort | common spectral bands and optimum vegetation indices for monitoring leaf nitrogen accumulation in rice and wheat |
| topic | spectral band vegetation index leaf nitrogen accumulation (LNA) rice wheat |
| url | http://www.sciencedirect.com/science/article/pii/S2095311912604572 |
| work_keys_str_mv | AT weiwang commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT xiayao commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT yongchaotian commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT xiaojunliu commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT junni commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT weixingcao commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat AT yanzhu commonspectralbandsandoptimumvegetationindicesformonitoringleafnitrogenaccumulationinriceandwheat |