Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation

	Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation
	Dong, Taifeng 1; Meng, Jihua 1; Shang, Jiali 1; Liu, Jiangui 1; Wu, Bingfang 1
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2015
卷号	8 期号:8 页码:1-11
关键词	Chlorophyll-related vegetation indices crop FPAR red-edge reflectance Sentinel-2
通讯作者	Wu, BF (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Div Digital Agr, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China.
英文摘要	In recent years, the impact of chlorophyll content on the estimation of the fraction of absorbed photosynthetically active radiation (FPAR) has attracted increased attention. In this study, chlorophyll-related vegetation indices (VIs) were selected and tested for their capability in crop FPAR estimation using simulated Sentinel-2 data. These indices can be categorized into four classes: 1) the ratio indices; 2) the normalized difference indices; 3) the triangular area-based indices; and 4) the integrated indices. Two crops, wheat and corn, with distinctive canopy and leaf structure were studied. Measured FPAR and Sentinel-2 reflectance simulated from field spectral measurements were used. The results showed that VIs using the near-infrared and red-edge reflectance, including the modified Simple Ratio-2 (mSR2), the red-edge Simple Ratio (SR705), the Red-Edge Normalized Difference Vegetation Index (ND705), MERIS Terrestrial Chlorophyll Index (MTCI), and the Revised Optimized Soil-Adjusted Vegetation Index (OSAVI[705, 750]), had a strong linear correlation with FPAR, especially in the high biomass range. When the red-edge reflectance was used, the ratio indices (e.g., mSR2 and SR705) had a stronger correlation with crop FPAR than the normalized difference indices (e.g., ND705). Sensitivity analysis showed that mSR2 had the strongest linear correlation with FPAR of the two crops across a growing season. Further analysis indicated that indices using the red-edge reflectance might be useful for developing FPAR retrieval algorithms that are independent of crop types. This suggests the potential for high resolution and high-quality mapping of FPAR for precision farming using the Sentinel-2 data.
研究领域[WOS]	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000361339200027
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38139]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Dong, Taifeng 2.Meng, Jihua 3.Wu, Bingfang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Div Digital Agr, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China 4.[Dong, Taifeng 5.Shang, Jiali 6.Liu, Jiangui] Agr & Agri Food Canada, Eastern Cereal & Oilseed Res Ctr, Ottawa, ON K1A 0C6, Canada
推荐引用方式 GB/T 7714	Dong, Taifeng,Meng, Jihua,Shang, Jiali,et al. Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(8):1-11.
APA	Dong, Taifeng,Meng, Jihua,Shang, Jiali,Liu, Jiangui,&Wu, Bingfang.(2015).Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(8),1-11.
MLA	Dong, Taifeng,et al."Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.8(2015):1-11.