Please wait a minute...
 
Remote Sensing for Land & Resources    2019, Vol. 31 Issue (4) : 137-142     DOI: 10.6046/gtzyyg.2019.04.18
|
Remote sensing monitoring of vegetation coverage by GF-1 satellite: A case study in Xiamen City
Jida PENG, Chungui ZHANG()
Fujian Meteorological Science Institute, Fuzhou 350001, China
Download: PDF(2440 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Forests have an important impact on global environmental change, especially in the carbon cycle. The demand of sensing monitoring for meteorological disasters, especially typhoon and flood, has become increasingly important. Traditional sensing monitoring of low and medium resolution can hardly meet the requirement. High resolution satellite has the advantage of high spatial resolution in vegetation monitoring. In this paper, the characteristics and pretreatment methods of GF-1 satellite images were studied in detail. The methods of radiation calibrater, atmospheric correction, ortho-rectification and calculating vegetation coverage were described in this paper. Finally, there was a case study of vegetation eco-environmental monitoring in Xiamen City. Researches show that most part of Xiamen belongs to high or higher vegetation coverage area, and the vegetation coverage in Haicang, Jimei, Xiangan and Tongan inland areas is significantly better than that in coastal areas. In the island of Xiangan, the vegetation coverage is better in the southern part than in the northern part.
Keywords GF-1 satellite      image pretreatment      vegetation coverage      vegetation monitoring     
:  TP79  
Corresponding Authors: Chungui ZHANG     E-mail: fjygwork@163.com
Issue Date: 03 December 2019
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Jida PENG
Chungui ZHANG
Cite this article:   
Jida PENG,Chungui ZHANG. Remote sensing monitoring of vegetation coverage by GF-1 satellite: A case study in Xiamen City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 137-142.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.04.18     OR     https://www.gtzyyg.com/EN/Y2019/V31/I4/137
类型 谱段号 谱段范
围/μm		 空间分
辨率/m		 幅宽/
km		 侧摆
能力		 重访时
间/d
全色相机 1 0.45~0.90 2 60 ±35° 4
8 m宽幅多光谱相机 2 0.45~0.52 8 60 ±35° 4
3 0.52~0.59
4 0.63~0.69
5 0.77~0.89
16 m宽幅多光谱相机 6 0.45~0.52 16 800 ±35° 2
7 0.52~0.59
8 0.63~0.69
9 0.77~0.89
Tab.1  Technical specifications of GF-1 satellite
参数 指标
轨道类型 太阳同步回归轨道
轨道高度 645 km
轨道倾角 98.050 6°
降交点地方时 10: 30AM
回归周期 41 d
Tab.2  The orbit parameterofGF-1 satellite
Fig.1  Technical flowchart of vegetation coverage
Fig.2  Simultaneous observations at different sitesof GF-1 satellite
卫星载荷 绝对辐射定标系数
Pan B1 B2 B3 B4
G B G B G B G B G B
GF-1 PMS1 0.122 8 0 0.142 4 0 0.117 7 0 0.119 4 0 0.113 5 0
GF-1 PMS2 0.136 5 0 0.146 0 0 0.124 8 0 0.127 4 0 0.125 5 0
GF-1 WFV1 / 0.216 5 0 0.168 5 0 0.135 4 0 0.150 7 0
GF-1 WFV2 / 0.209 7 0 0.163 0 0 0.133 9 0 0.152 1 0
GF-1 WFV3 / 0.187 0 0 0.161 9 0 0.129 5 0 0.138 3 0
GF-1 WFV4 / 0.177 0 0 0.152 1 0 0.132 2 0 0.134 9 0
Tab.3  the absolute calibration coefficients of GF-1 satellite for 2017
Fig.3  True color map of GF-1-WFV1 in Xiamen
Fig.4  Theclass map of vegetation coverage in Xiamen
植被覆盖度
分类等级		 像元数/个 面积/km2 所占植被覆盖总
面积百分比/%
低 83 697 21.43 1.6
较低 779 192 199.47 15.3
中 828 621 212.13 16.2
较高 766 330 196.18 15.0
高 2 642 288 676.43 51.8
Tab.4  Statistics of vegetation coverage at different grades
[1] 东方星 . 我国高分卫星与应用简析[J].卫星应用,2015(3):44-48.
[1] Dong F X . Analysis of high score satellites and their applications in China[J].Satellite application,2015(3):44-48.
[2] 王殿中, 何红艳 . 高分四号卫星观测能力与应用前景分析[J]. 航天返回与遥感, 2017,38(1):98-106.
[2] Wang D Z, He H Y . Observation capability and application prospect of GF-4 Satellite[J]. Spacecraft Recovery and Remote Sensing, 2017,38(1):98-106.
[3] 马尚杰, 易湘生, 游炯 , 等. 基于GF-1影像的冬小麦种植面积核算及直补政策实施评价[J]. 农业工程学报, 2016,32(18):169-174.
[3] Ma S J, Yi X S, You J , et al. Winter wheat cultivated area estimation and implementation evaluation of grain direct subsidy policy based on GF-1 imagery[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016,32(18):169-174.
[4] 黄振国, 杨君 . 高分一号卫星影像监测水稻种植面积研究综述[J].湖南农业科学,2014(13):76-78.
[4] Huang Z G, Yang J . Review of High-1 Satellite Image Monitoring Rice Planting Area[J].Hunan Agricultural Sciences,2014(13):76-78.
[5] 程灿然, 杨树文, 石鹏卿 . 基于高分一号卫星遥感影像的城市绿地提取对比研究[J]. 矿山测量, 2017,45(03):12-16.
[5] Cheng C R, Yang S W, Shi P Q . Comparative research on urban green space extracting based on GF-1 satellite images[J]. Mine Surveying, 2017,45(03):12-16.
[6] 李杰, 谭荣建 . 基于高分1号卫星数据的农作物面积遥感测量[J]. 浙江农业科学, 2018,59(3):414-416.
[6] Li J, Tan R J . Remote sensing measurement of crop area based on GF-1 satellite[J]. Journal of Zhejiang agricultural sciences, 2018,59(3):414-416.
[7] 胡倩伟, 左建章, 刘江 , 等. 高分一号卫星数据在土地覆盖动态监测中的应用研究[J]. 测绘与空间地理信息, 2016,39(6):63-66.
[7] Hu J W, Zuo J Z, Liu J , et al. Research on GF-1 in the application of the land cover dynamic monitoring[J]. Geomatics and Spatial Information Technology, 2016,39(6):63-66.
[8] 唐世浩, 邱红, 马刚 . 风云气象卫星主要技术进展[J]. 遥感学报, 2016,20(5):842-849.
[8] Tang S H, Qiu H, Ma G . Review on progress of the Fengyun meteorological satellite[J], Journal of Remote Sensing, 2016,20(5):842-849.
[9] 郑朝菊, 曾源, 赵玉金 , 等. 近15年中国西南地区植被覆盖度动态变化[J]. 国土资源遥感, 2017,29(3):128-136.doi: 10.6046/gtzyyg.2017.03.19.
[9] Zheng Z J, Zeng Y, Zhao Y J , et al. Monitoring and dynamic analysis of fractional vegetation cover in southweatern China over the past 15 years based on MODIS data[J]. Remote Sensing for Land and Resources, 2017,29(3):128-136.doi: 10.6046/gtzyyg.2017.03.19.
[10] 侯旭洲, 易维宁, 乔延利 , 等. 基于6S模型的遥感图像大气校正方法[J]. 大气与环境光学学报, 2015,10(1):62-68.
[10] Hou X Z, Yi W N , Qiao Y L,etal.Atmospheric correction of remote sensing image based on 6S model[J]. Journal of Atmospheric and Environmental Optics, 2015,10(1):62-68.
[11] 徐萌, 郁凡, 李亚春 , 等. 6S模式对EOS/MODIS数据进行大气校正的方法[J].南京大学学报(自然科学版),2006(06):582-589.
[11] Xu M, Yu F, Li Y C ,et al.The method of atmospheric correction on the EOS/MODIS data with 6S model[J].Journal of Nanjing University(Natural Sciences),2006(06):582-589.
[12] 喻素芳, 佘光辉, 罗叶红 , 等. 基于MODIS-NDVI数据广西植被覆盖变化特征分析[J]. 湖北农业科学, 2015,54(2):321-325.
[12] Yu S F, She G H, Luo Y H , et al. Analysis of characteristics of vegetation cover change in Guangxi Province based on MODIS-NDVI[J]. Hubei Agricultural Sciences, 2015,54(2):321-325.
[13] 王园香, 唐世浩, 郑照军 . 1982—2006年中国5—9月的NDVI变化与人类活动影响分析[J]. 地球信息科学学报, 2015,17(11):1333-1340.
doi: 10.3724/SP.J.1047.2015.01333
[13] Wang Y X, Tang S H, Zheng Z J . Analysis of NDVI and the impact of human activity in China from May to September During 1982 to 2006[J]. Journal of Geo-information Science, 2015,17(11):1333-1340.
[14] 王爱芸, 赵志芳 . 基于遥感的植被覆盖度估算方法研究进展[J].绿色科技,2015(03):10-14.
[14] Wang A Y, Zhao Z F . Research advances on the method of estimating vegetation coverage based on remote sensing[J].Journal of Green Science and Technology,2015(03):10-14.
[15] 李苗苗 . 植被覆盖度的遥感估算方法研究[D]. 中国科学院遥感应用研究所, 2003.
[15] Li M M . The Method of Vegetation Fraction Estimation by Remote Sensing[D]. Remote sensing application institute of Chinese Academy of Sciences, 2003.
[16] 叶娇珑, 何政伟, 翁中银 , 等. NDVI像元二分模型在喀斯特地区提取石漠化中的应用[J].地理空间信息,2012(4):134-136.
[16] Ye J L, He Z W, Weng Z Y , et al. Applicationof NDVI pixel binary model in extraction of rocky desertification in Karst areas[J].Geospatial Information,2012(4):134-136.
[17] 张宇婷, 张振飞, 张志 . 新疆大南湖荒漠区1992—2014年间植被覆盖度遥感研究[J]. 国土资源遥感, 2018,30(1):187-195.doi: 10.6046/gtzyyg.2018.01.26.
[17] Zhang Y T, Zhang Z F, Zhang Z . Remote sensing study of vegetation coverage during the period 1992-2014 in Dananhu desert area,Xinjiang[J]. Remote Sensing for Land and Resources, 2018,30(1):187-195.doi: 10.6046/gtzyyg.2018.01.26.
[1] JIN Chengming, YANG Xingwang, JING Haitao. A RS-based study on changes in fractional vegetation cover in North Shaanxi and their driving factors[J]. Remote Sensing for Natural Resources, 2021, 33(4): 258-264.
[2] 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.
[3] Chen GAO, Jian XU, Dan GAO, Lili WANG, Yeqiao WANG. Retrieval of concentration of total suspended matter from GF-1 satellite and field measured spectral data during flood period in Poyang Lake[J]. Remote Sensing for Land & Resources, 2019, 31(1): 101-109.
[4] Jiaming LAI, Wunian YANG. Dynamic changes of vegetation cover in natural forest area of western Sichuan in recent 29 years based on RS[J]. Remote Sensing for Land & Resources, 2018, 30(4): 132-138.
[5] Jian LIAO, Xingfa GU, Yulin ZHAN, Yazhou ZHANG, Xinyu REN, Shuaiyi SHI. A method based on harmonic model for generating synthetic GF-1 images[J]. Remote Sensing for Land & Resources, 2018, 30(3): 106-112.
[6] Xiaodong ZHANG, Xiangnan LIU, Zhipeng ZHAO, Yinxin ZHAO, Yuxue MA, Haiyan LIU. Spatial-temporal pattern analysis of the vegetation coverage and geological hazards in Yanchi County based on dimidiate pixel model[J]. Remote Sensing for Land & Resources, 2018, 30(2): 195-201.
[7] Yuting ZHANG, Zhenfei ZHANG, Zhi ZHANG. Remote sensing study of vegetation coverage during the period 1992—2014 in Dananhu desert area, Xinjiang[J]. Remote Sensing for Land & Resources, 2018, 30(1): 187-195.
[8] WANG Ruijun, DONG Shuangfa, SUN Yongbin, LI Jingyue. Remote sensing interpretation and application of the geological unit of Suolake area in Xinjiang based on GF-1 satellite data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 137-143.
[9] ZHANG Chengcai, LUO Weiran, DOU Xiaonan, WANG Jinxin. Research on the method of using Landsat8 data to improve FCD model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 33-38.
[10] LIU Ying, HOU Enke, YUE Hui. Dynamic monitoring and trend analysis of vegetation change in Shendong mining area based on MODIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 132-137.
[11] LIU Zhe, QIU Bingwen, WANG Zhuangzhuang, QI Wen. Temporal and spatial variation analysis of vegetation cover in the Loess Plateau from 2001 to 2014[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 192-198.
[12] ZHANG Kun, LI Xiaomin, MA Shibin, LIU Shiying, LI Shenghui. Application of GF-1 image to geological disaster survey in Cosibsumgy village on Sino-India border area[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 139-148.
[13] HE Haiyan, LING Feilong, WANG Xiaoqin, LIANG Zhifeng. Estimation of fractional vegetation coverage in water and soil loss area based on Radar vegetation index[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 165-170.
[14] LIU Yadi, WANG Xiaoqin, JIANG Hong. Estimation of vegetation coverage based on topography-adjusted vegetation index (TAVI) in Changting County, Fujian Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 164-171.
[15] LU Yunge, LIU Cai, WANG Jiao. Integrated solutions for mine remote sensing monitoring based on domestic satellite images： A case study of Tibet[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 85-90.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech