Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module

CHEN Jian-zhen; HE Chao; YUE Cai-rong

doi:10.11833/j.issn.2095-0756.2011.04.011

Volume 28 Issue 4

Aug. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2011 > 28(4): 590-596

CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011

Citation:

CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011

Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module

doi: 10.11833/j.issn.2095-0756.2011.04.011

1.
Department of Environmental Science and Engineering，Southwest Forestry University，Kunming 650224，Yunnan，China;
2.
Department of State-owned Assets，Southwest Forestry University，Kunming 650224，Yunnan，China;
3.
Faculty of Resources，Southwest Forestry University，Kunming 650224，Yunnan，China

More Information

Corresponding author: YUE Cai-rong
Publish Date: 2011-08-20

Abstract

The fast line-of-sight atmospheric analysis of spectral hypercubes （FLAASH） atmospheric correction module has often been used to correct the atmospheric influence of remote sensing images，however，in the Environment for Visualizing Images（ENVI），there is no pre-defined parameter for a new sensor in ENVI，which limits the range of application for a FLAASH module. To discuss atmospheric correction for an unknown multispectral sensor using the FLAASH module，an atmospheric correction process of images from the Advanced Land Imager （ALI） sensor was introduced. According to contrast and analysis uncorrected and corrected reflectance spectrum for water，vegetation and wasteland，the corrected reflectance spectrum was restored；according to qualitative and quantitative analysis of the whole image of corrected and uncorrected normalized differential vegetation index（NDVI），vegetation region was more brightness；non-vegetation region was darker；the peak value of histogram was improved from 0.454 to 0.754；the mean value was improved from 0.417 to 0.694；the standard deviation was improved from 0.139 7 to 0.141 0. Results showed that by using the FLAASH module，the atmospheric influence of ALI image was effectively weakened. The FLAASH module can be used to correct the atmospheric influence of new sensor，which is no pre-defined in the ENVI.［Ch，5 fig. 2 tab. 20 ref.］
- FLAASH module,
- advanced land imager,
- tmospheric correction

Relative Article

[1]	SHEN Fangfang, WANG Binyu, YAO Bida, MO Mingmin, LIAO Yingchun, FANG Huanying, ZOU Xianhua, LIU Wenfei, YUAN Yinghong, FAN Houbao. Response of high nitrogen-loaded forest ecosystem to decreasing atmospheric nitrogen deposition: a review . Journal of Zhejiang A&F University, 2024, 41(1): 211-222. doi: 10.11833/j.issn.2095-0756.20230380
[2]	BAO Ta’na, FAN Wenyi. Reconstruction and fusion correction method of multi-source LAI products in Maoershan forest based on ensemble Kalman filter . Journal of Zhejiang A&F University, 2024, 41(4): 841-849. doi: 10.11833/j.issn.2095-0756.20230601
[3]	MENG Chaomin, GENG Feifei, QING Guixia, ZHANG Fuhou, LI Xuelin, LIU Fengju. Cloning and expression analysis of low phosphorus stress response gene GhGDPD1 in Gossypium hirsutum . Journal of Zhejiang A&F University, 2023, 40(4): 723-730. doi: 10.11833/j.issn.2095-0756.20220624
[4]	MENG Chaomin, GENG Feifei, QING Guixia, ZHOU Jiamin, ZHANG Fuhou, LIU Fengju. Cloning and expression of phosphorus efficient gene GhMGD3 in Gossypium hirsutum . Journal of Zhejiang A&F University, 2022, 39(6): 1203-1211. doi: 10.11833/j.issn.2095-0756.20220145
[5]	HAN Mixue, YU Hongyan, LIU Panyang, RAO De’an, TENG Yue, ZOU Luyi. Effects of the mole fraction of elevated atmospheric CO₂ on soil organic carbon stability . Journal of Zhejiang A&F University, 2021, 38(5): 963-972. doi: 10.11833/j.issn.2095-0756.20200502
[6]	WANG Wei, HOU Ping, YAN Shuxian, WANG Yusheng. Atmospheric temperature and pollutants on heavy pollution days in Lin'an, Hangzhou . Journal of Zhejiang A&F University, 2018, 35(6): 997-1006. doi: 10.11833/j.issn.2095-0756.2018.06.002
[7]	PEI Jianchuan, ZHANG Shuting, YANG Jinyan, ZHANG Jin. Nitrogen removal in landscape water bodies using a vertical ecological module in Yuhuang Shannan Fund Town . Journal of Zhejiang A&F University, 2018, 35(6): 987-996. doi: 10.11833/j.issn.2095-0756.2018.06.001
[8]	QIU Wenxin, ZHANG Yong, YU Jiajun, ZHANG Chao, ZHENG Chaochao, YU Shuquan. Feasibility verification with field application of a water conservation module using the InVEST Model . Journal of Zhejiang A&F University, 2018, 35(5): 810-817. doi: 10.11833/j.issn.2095-0756.2018.05.004
[9]	WANG Fan, JIANG Hong, NIU Xiaodong. Research advances in water vapor isotopic composition and its application in the hydrological research . Journal of Zhejiang A&F University, 2016, 33(1): 156-165. doi: 10.11833/j.issn.2095-0756.2016.01.021
[10]	YAO Fei, YE Kang, ZHOU Jianhua. Automatic image classification and retrieval by analyzing plant leaf features . Journal of Zhejiang A&F University, 2015, 32(3): 426-433. doi: 10.11833/j.issn.2095-0756.2015.03.015
[11]	NIU Xiaodong, JIANG Hong, WANG Fan. Stable isotope composition for atmospheric water vapor in the forest ecosystem of Mount Tianmu . Journal of Zhejiang A&F University, 2015, 32(3): 327-334. doi: 10.11833/j.issn.2095-0756.2015.03.001
[12]	ZHENG Shiwei, JIANG Hong, TANG Minzhong. Research on the characteristics and dynamics of acid deposition in Mount Tianmu . Journal of Zhejiang A&F University, 2015, 32(2): 188-194. doi: 10.11833/j.issn.2095-0756.2015.02.004
[13]	ZHUANG Ming-hao, LI Ying-chun, CHEN Shuang-lin, LI Ying, GU Da-xing. Physiological responses of Oligostachyum lubricum with elevated atmospheric ozone concentrations . Journal of Zhejiang A&F University, 2012, 29(1): 12-16. doi: 10.11833/j.issn.2095-0756.2012.01.003
[14]	JIANG Jun-ming, FEI Shi-min, WEI Shi-jun, ZHUWei-shuang, WANG Shuai. Forest nutrient input from rainfall in southern Sichuan . Journal of Zhejiang A&F University, 2007, 24(1): 22-27.
[15]	NIE Fa-hui, WU Cai-bin, WU Shuang-tao. Characteristics of Phytolacca acinosa accumulating Cd . Journal of Zhejiang A&F University, 2006, 23(4): 400-405.
[16]	JIANG Wen-Wei, GUAN Yu, WANG Zu-liang, PAN Jun-hui. Application of remnant GM (1 , 1) to prediction of content of sulfur dioxide in atmosphere . Journal of Zhejiang A&F University, 2002, 19(2): 178-181.
[17]	CHEN Bo. Progress in the response of net primary productivity of terrestrial vegetations to global climate changes . Journal of Zhejiang A&F University, 2001, 18(4): 445-449.
[18]	ZHOU Lei-zhi, ZHANG Ai-guang. Influence of CO₂ content in atmosphere on air temperature in Hangzhou . Journal of Zhejiang A&F University, 2000, 17(3): 301-304.
[19]	FanHoubao. Tree Bark:An Indicator of Air pollution and Precipitation Acidity . Journal of Zhejiang A&F University, 1996, 13(2): 136-140.
[20]	Chen Dongji, Zheng Meizhu. Effect of Atmospheric Pollution on Growth of Chinese Fir . Journal of Zhejiang A&F University, 1993, 10(2): 169-178.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(4663) PDF downloads(2115) Cited by()

Proportional views

Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module

1. Department of Environmental Science and Engineering，Southwest Forestry University，Kunming 650224，Yunnan，China;

2. Department of State-owned Assets，Southwest Forestry University，Kunming 650224，Yunnan，China;

3. Faculty of Resources，Southwest Forestry University，Kunming 650224，Yunnan，China

Corresponding author: YUE Cai-rong

Publish Date: 2011-08-20

Key words:

Abstract: The fast line-of-sight atmospheric analysis of spectral hypercubes （FLAASH） atmospheric correction module has often been used to correct the atmospheric influence of remote sensing images，however，in the Environment for Visualizing Images（ENVI），there is no pre-defined parameter for a new sensor in ENVI，which limits the range of application for a FLAASH module. To discuss atmospheric correction for an unknown multispectral sensor using the FLAASH module，an atmospheric correction process of images from the Advanced Land Imager （ALI） sensor was introduced. According to contrast and analysis uncorrected and corrected reflectance spectrum for water，vegetation and wasteland，the corrected reflectance spectrum was restored；according to qualitative and quantitative analysis of the whole image of corrected and uncorrected normalized differential vegetation index（NDVI），vegetation region was more brightness；non-vegetation region was darker；the peak value of histogram was improved from 0.454 to 0.754；the mean value was improved from 0.417 to 0.694；the standard deviation was improved from 0.139 7 to 0.141 0. Results showed that by using the FLAASH module，the atmospheric influence of ALI image was effectively weakened. The FLAASH module can be used to correct the atmospheric influence of new sensor，which is no pre-defined in the ENVI.［Ch，5 fig. 2 tab. 20 ref.］

Atmospheric correction of an advance land imager （ALI） image based on the FLAASH module

doi: 10.11833/j.issn.2095-0756.2011.04.011

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views