A General Approach for Suppressing Vegetation in Optical Remotely Sensed Imagery

doi:10.6046/gtzyyg.2011.02.07

Download: PDF(5097 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract Vegetation coverage is always an obstacle in the lithological information extraction from optical remotely sensed imagery. Aimed at enhancing lithological and soil information in vegetation coverage area, this paper used a three-step (i.e., masking, enforced variance, histogram equalization) general vegetation suppression approach. Four experiments were conducted by using different datasets in different locations, which included a Landsat ETM+ image in Hangzhou of Zhejiang, a Landsat ETM+ image in Funing of Yunnan, a Hyperion image in Rongtang of Jiangxi and a MODIS image in Guangdong. The results indicate the effectiveness of the proposed approach in suppressing vegetation in optical remote sensing images with different spatial and spectral resolutions.

Keywords HDF4 MODIS SDS Vdata Extraction of Image

TP 79

Issue Date: 17 June 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	ZHANG Li
	ZENG Zhi-yuan

Cite this article:

ZHANG Li,ZENG Zhi-yuan. A General Approach for Suppressing Vegetation in Optical Remotely Sensed Imagery[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 38-42.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.02.07 OR https://www.gtzyyg.com/EN/Y2011/V23/I2/38

[1]	HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[2]	ZHANG Aizhu, WANG Wei, ZHENG Xiongwei, YAO Yanjuan, SUN Genyun, XIN Lei, WANG Ning, HU Guang. A hierarchical spatial-temporal fusion model[J]. Remote Sensing for Natural Resources, 2021, 33(3): 18-26.
[3]	WEI Geng, HOU Yuqiao, ZHA Yong. Analysis of aerosol type changes in Wuhan City under the outbreak of COVID-19 epidemic[J]. Remote Sensing for Natural Resources, 2021, 33(3): 238-245.
[4]	WEI Geng, HOU Yuqiao, HAN Jiamei, ZHA Yong. The estimation of PM_2.5 mass concentration based on fine-mode aerosol and WRF model[J]. Remote Sensing for Land & Resources, 2021, 33(2): 66-74.
[5]	CHEN Baolin, ZHANG Bincai, WU Jing, LI Chunbin, CHANG Xiuhong. Historical average method used in MODIS image pixel cloud compensation: Exemplified by Gansu Province[J]. Remote Sensing for Land & Resources, 2021, 33(2): 85-92.
[6]	YANG Huan, DENG Fan, ZHANG Jiahua, WANG xueting, MA Qingxiao, XU Nuo. A study of information extraction of rape and winter wheat planting in Jianghan Plain based on MODIS EVI[J]. Remote Sensing for Land & Resources, 2020, 32(3): 208-215.
[7]	Gang DENG, Zhiguang TANG, Chaokui LI, Hao CHEN, Huanhua PENG, Xiaoru WANG. Extraction and analysis of spatiotemporal variation of rice planting area in Hunan Province based on MODIS time-series data[J]. Remote Sensing for Land & Resources, 2020, 32(2): 177-185.
[8]	Kailun JIN, Lu HAO. Evapotranspiration estimation in the Jiangsu-Zhejiang-Shanghai Area based on remote sensing data and SEBAL model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 204-212.
[9]	Bing ZHAO, Kebiao MAO, Yulin CAI, Xiangjin MENG. Study of the temporal and spatial evolution law of land surface temperature in China[J]. Remote Sensing for Land & Resources, 2020, 32(2): 233-240.
[10]	Yiqiang SHI, Qiuqin DENG, Jun WU, Jian WANG. Regression analysis of MODIS aerosol optical thickness and air quality index in Xiamen City[J]. Remote Sensing for Land & Resources, 2020, 32(1): 106-114.
[11]	Yuqi CHENG, Yuqing WANG, Jingping SUN, Chengfu ZHANG. Temporal and spatial variation of evapotranspiration and grassland vegetation cover in Duolun County, Inner Mongolia[J]. Remote Sensing for Land & Resources, 2020, 32(1): 200-208.
[12]	Kailin LI, Chungui ZHANG, Kuo LIAO, Lichun LI, Hong WANG. Study of remote sensing atmosphere index of Fujian Province[J]. Remote Sensing for Land & Resources, 2019, 31(4): 151-158.
[13]	Linlin WU, Yunlan GUAN, Jiawei LI, Chenxin YUAN, Rui LI. Assessment of Karst rocky desertification based on MODIS: Exemplified by Guizhou Province[J]. Remote Sensing for Land & Resources, 2019, 31(4): 235-242.
[14]	Jiaping WU, Yang ZHANG, Jie ZHANG, Shenglong FAN, Chao YANG, Xiaofang ZHANG. Comparison and analysis of water indexes in muddy coasts based on MODIS data: A case study of the Yellow River Delta coast[J]. Remote Sensing for Land & Resources, 2019, 31(3): 242-249.
[15]	Ying LIU, Hui YUE, Enke HOU. Drought monitoring based on MODIS in Shaanxi[J]. Remote Sensing for Land & Resources, 2019, 31(2): 172-179.