Retrieval of typical subtropical crop canopy SPAD value in South China using GF-1 remote sensing image

HUANG Rugen; LIU Zhenhua; HU Yueming; XIAO Beisheng

doi:10.7671/j.issn.1001-411X.2015.04.019

Journal of South China Agricultural University > 2015 > 36(4): 105-111. > DOI: 10.7671/j.issn.1001-411X.2015.04.019

HUANG Rugen, LIU Zhenhua, HU Yueming, XIAO Beisheng. Retrieval of typical subtropical crop canopy SPAD value in South China using GF-1 remote sensing image[J]. Journal of South China Agricultural University, 2015, 36(4): 105-111. DOI: 10.7671/j.issn.1001-411X.2015.04.019

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Retrieval of typical subtropical crop canopy SPAD value in South China using GF-1 remote sensing image

College of Natural Resources and Environment, South China Agricultural University /Guangdong Provincial Key Laboratory of Land Use and Consolidation / Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation / Guangzhou Surveying and Mapping Geographic Information Industry Engineering Technology Research Center, Guangzhou 510642, China

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Received Date: March 11, 2014
Available Online: May 17, 2023

Graphical Abstract

Abstract

Abstract

Objective
The purpose of this paper was to explore the retrieval of typical subtropical crop SPAD value in South China with the domestic high resolution satellite image, using Zengcheng Teaching and Research Station for field experiments.
Method
According to the GF-1 remote sensing data and corresponding subtropical crops measured data on October 1, 2013, the models between vegetation index and typical crop canopy SPAD value were built.In order to get the best regression model for retrieval of subtropical crop canopy related to contents of chlorophyll in South China, the linear and nonlinear relations were found between the nine types of vegetation indices and crop canopy SPAD value.
Result and conclusion
The results showed that seven types of vegetation indices had an extremely significant correla-tion with typical subtropical crop canopy SPAD value, and the ratio vegetation index exponential regression model (Y = 31.445e^0.141X) provided the best model for retrieving subtropical crop canopy SPAD value (R² = 0.889, and fitting precision = 92.75%), which indicates ratio vegetation index is feasible to retrieve large range of typical subtropical crop canopy SPAD value in the study area.
- typical subtropical crop,
- vegetation index,
- GF-1 satellite,
- canopy SPAD,
- regression model

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References (26)

References

[1]	房贤一, 朱西存, 王凌, 等.基于高光谱的苹果盛果期冠层叶绿素含量监测研究[J].中国农业科学, 2013, 46(16): 3504-3513. doi: 10.3864/j.issn.0578-1752.2013.16.022
[2]	宋开山, 张柏, 王宗明, 等.大豆叶绿素含量高光谱反演模型研究[J].农业工程学报, 2006, 22(8): 16-20. doi: 10.3321/j.issn:1002-6819.2006.08.004
[3]	刘璇, 林辉, 臧卓, 等.杉木叶绿素a含量与高光谱数据相关性分析[J].中南林业科技大学学报, 2010, 30(5): 72-75. doi: 10.3969/j.issn.1673-923X.2010.05.014
[4]	孟庆野, 董恒, 秦其明, 等.基于高光谱遥感监测植被叶绿素含量的一种植被指数MTCARI[J].光谱学与光谱分析, 2012, 32(8): 2218-2221. doi: 10.3964/j.issn.1000-0593(2012)08-2218-05
[5]	董晶晶, 王力, 牛铮.植被冠层水平叶绿素含量的高光谱估测[J].光谱学与光谱分析, 2009, 29(11): 3003-3006. doi: 10.3964/j.issn.1000-0593(2009)11-3003-04
[6]	梁爽, 赵庚星, 朱西存.苹果树叶片叶绿素含量高光谱估测模型研究[J].光谱学与光谱分析, 2012, 32(5): 1367-1370. doi: 10.3964/j.issn.1000-0593(2012)05-1367-04
[7]	李敏夏, 张林森, 李丙智, 等.苹果叶片高光谱特性与叶绿素含量和SPAD值的关系[J].西北林学院学报, 2010, 25(2): 35-39. http://d.old.wanfangdata.com.cn/Periodical/xblxyxb201002008
[8]	BOEGH E, HOUBORG R, BIENKOWSKI J, et al.Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop-and grasslands in five European landscapes[J].Biogeosciences, 2013, 10(10): 6279-6307. doi: 10.5194/bg-10-6279-2013
[9]	RICHARDSON A J, WIEGAND C L.Distinguishing vegetation from soil background information[J].Photogramm Eng Rem S, 1997, 43(12): 1541-1552.
[10]	GITELSON A A, KAUFMAN Y J, MERZLYAK M N.Use of a green channel in remote sensing of global vegetation fr om EOS-MODIS[J].Remote Sens Environ, 1996, 58(3): 289-298. doi: 10.1016/S0034-4257(96)00072-7
[11]	CRIPPEN R E.Calculating the vegetation index faster[J]. Remote Sens Environ, 1990, 34(1): 71-73. doi: 10.1016/0034-4257(90)90085-Z
[12]	QI J, CHEHBOUNI A, HUETE A R, et al.A modified soil adjusted vegetation index[J].Remote Sens Environ, 1994, 48(2): 119-126. doi: 10.1016/0034-4257(94)90134-1
[13]	DEERING D W, ROUSE J W. Measuring 'forage production' of grazing units from Landsat MSS data[C]//Willow Run Laboratories of the University of Michigan. Proceedings of the 10th International Symposium on Remote Sensing of Environment. Michigan: Ann Arbor, 1975: 1169-1178.
[14]	WIEGAND C L, RICHARDSON A J, ESCOBAR D E, et al.Vegetation indices in crop assessments[J].Remote Sens Environ, 1991, 35(2/3): 105-119. http://www.sciencedirect.com/science/article/pii/003442579190004P
[15]	BIRTH G S, MCVEY G.Measuring the color of growing turf with a reflectance spectroradiometer[J].Agron J, 1968, 60(6): 640-643. doi: 10.2134/agronj1968.00021962006000060016x
[16]	ROUJEAN J L, BREON F M.Estimating PAR absorbed by vegetation from bidirectional reflectance measurements[J].Remote Sens Environ, 1995, 51(3): 375-384. doi: 10.1016/0034-4257(94)00114-3
[17]	ROUSE J W, HAAS R H, SCHELL J A, et al.Monitoring the vernal advancement of retrogradation of natural vegetation[M].Maryland: Goddard Space Flight Center, 1974: 371.
[18]	干友民, 成平, 周纯兵, 等.若尔盖亚高山草甸地上生物量与植被指数关系研究[J].自然资源学报, 2009, 24(11): 1963-1972. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=CAS201303040000211984
[19]	刘秀英, 熊建利, 臧卓, 等.基于植被指数的马尾松叶绿素含量估算模型[J].西北林学院学报, 2012, 27(3): 44-47. doi: 10.3969/j.issn.1001-7461.2012.03.10
[20]	潘蓓, 赵庚星, 朱西存, 等.利用高光谱植被指数估测苹果树冠层叶绿素含量[J].光谱学与光谱分析, 2013, 33(8): 2203-2206. doi: 10.3964/j.issn.1000-0593(2013)08-2203-04
[21]	王凯龙, 雄黑钢, 张芳.干旱区冬小麦不同生长阶段的光谱特征与叶绿素含量估测研究[J].干旱区资源与环境, 2013, 27(11): 45-49. doi: 10.3969/j.issn.1003-7578.2013.11.008
[22]	夏天, 吴文斌, 周清波, 等.不同地域冬小麦叶片SPAD高光谱估算研究[J].中国农业资源与规划, 2014, 35(4): 49-57. http://d.old.wanfangdata.com.cn/Periodical/zgnyzyyqh201404008
[23]	夏天, 周勇, 周清波, 等.基于高光谱遥感和HJ-1卫星的冬小麦SPAD反演研究[J].长江流域资源与环境, 2013, 22(3): 307-113. http://d.old.wanfangdata.com.cn/Periodical/cjlyzyyhj201303008
[24]	易秋香, 黄敬峰, 王秀珍, 等.玉米叶绿素高光谱遥感估算模型研究[J].科学通报, 2007, 23(1): 83-87. http://d.old.wanfangdata.com.cn/Periodical/kjtb200701017
[25]	张苏, 刘良云, 黄文江.基于植被指数的叶绿素密度遥感反演建模与适用性研究[J].遥感信息, 2013, 28(3): 94-101. doi: 10.3969/j.issn.1000-3177.2013.03.017
[26]	赵佳佳, 冯美臣, 王超, 等.基于光谱植被指数的冬小麦叶绿素含量反演[J].山西农业大学学报:自然科学版, 2014, 34(5): 391-396. http://d.old.wanfangdata.com.cn/Periodical/sxnydxxb201405002

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