Monitoring vegetation–cover changes based on NDVI dimidiate pixel model

Liu Lin; Yao Bo

Volume 26 Issue 13

Oct. 2010

Turn off MathJax

Article Contents

Abstract

Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2010 > 26(13): 230-234.

Liu Lin, Yao Bo. Monitoring vegetation–cover changes based on NDVI dimidiate pixel model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(13): 230-234.

Citation:

PDF (679 KB)

Monitoring vegetation–cover changes based on NDVI dimidiate pixel model

Liu Lin¹,
Yao Bo²

More Information

Received Date: September 23, 2009
Revised Date: May 26, 2010
Published Date: October 30, 2010

Graphical Abstract

Abstract

Abstract

The accuracy and scope of vegetation fraction by NDVI dimidiate pixel model was studied in this paper. Selecting the appropriate NDVIsoil and NDVIveg for urban areas, vegetation fraction values were calculated respectively based on TM of Hefei City, Anhui Province in 2002 and 2007 by NDVI dimidiate pixel model, changes in vegetation fraction were obtained by image – minus method. For Hefei City, during the study period, vegetation coverage in general decreased. The most obvious was the decline in Binhu New Area and Baohe Industrial Park, decreased values were 16.7% and 21.4%, respectively. The sharp reduction of vegetation cover caused by urban expansion is a remarkable ecological problem. Compared with the results of aerophotograph surveying, the value of vegetation fraction obtained by this method is higher in low vegetation–covered area, and which is lower in high vegetation–covered forest area, but the vegetation fraction change calculated by image –minus method can eliminate some system error and achieve higher precision in all areas, so image –minus method based on NDVI dimidiate pixel model can serve as an important means of monitoring vegetation cover.
- vegetation,
- remote sensing,
- monitoring,
- NDVI,
- Hefei City

FullText(HTML)

References (0)

[1]	Zhang Gengxi, Su Xiaoling, Hao Lina, Wu Haijiang. Response of vegetation to drought based on NDVI and scPDSI data sets from 1982 to 2015 across China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(20): 145-151. DOI: 10.11975/j.issn.1002-6819.2019.20.018
[2]	Liu Yizhu, Wu Wenbin, Li Zhaoliang, Zhou Qingbo. Extracting irrigated cropland spatial distribution in China based on time-series NDVI[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(22): 276-284. DOI: 10.11975/j.issn.1002-6819.2017.22.036
[3]	Han Yanxin, Meng Jihua, Xu Jin. Soybean growth assessment method based on NDVI and phenological calibration[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(2): 177-182. DOI: 10.11975/j.issn.1002-6819.2017.02.024
[4]	Wang Limin, Liu Jia, Yang Lingbo, Yang Fugang, Teng Fei, Wang Xiaolong. Remote sensing monitoring winter wheat area base on weighted NDVI index[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(17): 127-135. DOI: 10.11975/j.issn.1002-6819.2016.17.018
[5]	Zhang Zhitao, Lan Yubin, Zheng Yongjun, Chen Liping, Song Peng. Multiple regression analysis of soybean NDVI affected by meteorological factors[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(5): 188-193. DOI: 10.3969/j.issn.1002-6819.2015.05.027
[6]	Hou Xuehui, Niu Zheng, Gao Shuai, Huang Ni. Monitoring vegetation phenology in farming-pastoral zone using SPOT-VGT NDVI data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2013, 29(1): 142-150.
[7]	Remote sensing monitoring models of soil salinization based on NDVI-SI feature space[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 168-173.
[8]	Xiong QinXue, Huang JingFeng. Estimation of autumn harvest crop planting area based on NDVI sequential characteristics[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(1): 144-148.
[9]	Water deficit diagnosis and growing condition monitoring of winter wheat based on NDVI-Ts feature space[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(5).
[10]	Wang Xiu, Zhao Chunjiang, Zhou Hanchang, Liu Liangyun, Wang Jihua, Xue Xuzhang, Meng Zhijun. Development and experiment of portable NDVI instrument for estimating growth condition of winter wheat[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(4): 95-98.