Applicability analysis of normalized difference vegetative index (NDVI) in grassland open-pit coal mine

HUI Jia-wei; BAI Zhong-ke; LIU Kai-jie; WANG Zi-hao

doi:10.13374/j.issn2095-9389.2021.08.03.002

Volume 45 Issue 1

Jan. 2023

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2023 > 45(1): 54-63

HUI Jia-wei, BAI Zhong-ke, LIU Kai-jie, WANG Zi-hao. Applicability analysis of normalized difference vegetative index (NDVI) in grassland open-pit coal mine[J]. Chinese Journal of Engineering, 2023, 45(1): 54-63. doi: 10.13374/j.issn2095-9389.2021.08.03.002

Citation:

HUI Jia-wei, BAI Zhong-ke, LIU Kai-jie, WANG Zi-hao. Applicability analysis of normalized difference vegetative index (NDVI) in grassland open-pit coal mine[J]. Chinese Journal of Engineering, 2023, 45(1): 54-63. doi: 10.13374/j.issn2095-9389.2021.08.03.002

Citation:

PDF( 7145 KB)

Applicability analysis of normalized difference vegetative index (NDVI) in grassland open-pit coal mine

doi: 10.13374/j.issn2095-9389.2021.08.03.002

1.
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
2.
Key Lab of Land Consolidation and Rehabilitation, the Ministry of Natural Resources, Beijing 100035, China
3.
Technology Innovation Center of Ecological Restoration Engineering in Mining Area, the Ministry of Natural Resources, Beijing 100083, China

More Information

Corresponding author: E-mail: baizk@cugb.edu.cn
Received Date: 2021-08-03
Available Online: 2021-12-18
Publish Date: 2023-01-01

Abstract

Abstract

Coal production will inevitably have an impact on the ecological environment. It has become the consensus of all major countries that vegetation restoration should be carried out in coal mining areas. Monitoring the vegetation in the mining area is an important part of the vegetation restoration work in the mining area, and plays an important role in the design, implementation, management and maintenance of the vegetation work in the mining area. The calculation of vegetation coverage based on NDVI is currently the most common method of coal mine ecological monitoring. It was discovered during is the process that calculating vegetation coverage based on NDVI would cause serious errors. Sentinel-2 data was used to calculate the NDVI of the study area using the remote sensing band inversion method tostudy the reasons for the formation of the error zone and provide a suitable method for ecological monitoring of grassland mining areas. Furthermore, the empirical comparison method was used to investigate the NDVI distribution characteristics of the Shengli and Pingshuo mining areas. This phenomenon has also appeared in other research results. The results show that NDVI can accurately reflect the surface vegetation coverage in areas with specific vegetation coverage, but there will be significant error areas in coal-covered areas in the mining area. The error phenomenon will appear in both study areas, with a greater impact in the Shengli mining area. This error phenomenon is caused by the inadequacy of the NDVI’s normalization algorithm, which makes distinguishingbetween coal-covered areas and low-to-medium-covered grasslands with similar characteristics in spectral curves impossible. To avoid the impact of this phenomenon, we propose to mask the relevant areas or replace the vegetation index in the mining area’s vegetation monitoring.
- NDVI,
- remote sensing ecological monitoring,
- Shengli Coal Mine,
- Pingshuo Coal Mine,
- Sentinel-2

FullText(HTML)

References(26)

References

[1]	劉英, 雷少剛, 陳孝楊, 等. 神東礦區植被覆蓋度時序變化與驅動因素分析及引導恢復策略. 煤炭學報, 2021, 46(10):3319 Liu Y, Lei S G, Chen X Y, et al. Temporal variation and driving factors of vegetation coverage in Shendong central mining area based on the perspective of guided restoration. J China Coal Soc, 2021, 46(10): 3319
[2]	帕提古麗·如則, 柴雙奇, 哈力木別克·滿太西汗, 等. 準北煤田和什托洛蓋礦區植被覆蓋度動態變化與趨勢預測. 能源與環保, 2020, 42(12):1 Patiguri R Z, Chai S Q, Halembek M, et al. Dynamic changes and trends forecast of surface vegetation coverage in Heshituoluogai Mining Area of Northern Junggar Coalfield. China Energy Environ Prot, 2020, 42(12): 1
[3]	Hui J W, Bai Z K, Ye B Y, et al. Remote sensing monitoring and evaluation of vegetation restoration in grassland mining areas—a case study of the shengli mining area in Xilinhot City, China. Land, 2021, 10(7): 743 doi: 10.3390/land10070743
[4]	王國芳, 畢如田, 張吳平, 等. 典型礦區植被覆蓋度時空分布特征及影響因素. 生態學報, 2020, 40(17):6046 Wang G F, Bi R T, Zhang W P, et al. Temporal and spatial distribution characteristics and influencing factors of vegetation coverage in typical mining areas. Acta Ecol Sin, 2020, 40(17): 6046
[5]	Rouse J W, Haas R H, Schell J A, et al. Monitoring vegetation systems in the Great Plains with ERTS//Proceedings of the Third Earth Resources Technology Satellite ERTS Symposium. Washington D C, 1974
[6]	田慶久, 閔祥軍. 植被指數研究進展. 地球科學進展, 1998, 13(4):327 doi: 10.3321/j.issn:1001-8166.1998.04.002 Tian Q J, Min X J. Advances in study on vegetation indices. Adv Earth Sci, 1998, 13(4): 327 doi: 10.3321/j.issn:1001-8166.1998.04.002
[7]	馬曉黎, 王行風, 陳明, 等. 基于植被指數的神東礦區植被蓋度變化分析. 安徽農業科學, 2011, 39(21):12795 doi: 10.3969/j.issn.0517-6611.2011.21.057 Ma X L, Wang X F, Chen M, et al. Analysis on the change of the vegetation coverage degree based on NDVI in Shendong coal mine areas. J Anhui Agric Sci, 2011, 39(21): 12795 doi: 10.3969/j.issn.0517-6611.2011.21.057
[8]	甄娜, 李宇航, 陳濤. 禹州市1992—2015年礦區植被覆蓋度動態變化研究. 地理空間信息, 2021, 19(5):91 doi: 10.3969/j.issn.1672-4623.2021.05.025 Zhen N, Li Y H, Chen T. Dynamic change analysis of vegetation coverage in mining area of Yuzhou City from 1992 to 2015. Geospat Inf, 2021, 19(5): 91 doi: 10.3969/j.issn.1672-4623.2021.05.025
[9]	伍超群, 張緒冰, 王耀, 等. 基于Landsat影像的木里煤田礦區植被覆蓋提取及時空變化分析. 測繪與空間地理信息, 2020, 43(2):67 doi: 10.3969/j.issn.1672-5867.2020.02.020 Wu C Q, Zhang X B, Wang Y, et al. Analysis of vegetation coverage extraction and time-space change in Muli coalfield based on landsat image. Geomat &Spatial Inf Technol, 2020, 43(2): 67 doi: 10.3969/j.issn.1672-5867.2020.02.020
[10]	莎日娜. 基于NDVI的烏拉特后旗植被覆蓋度時空變化分析. 林業資源管理, 2017(6):89 Sha R N. Analysis of temporal and spatial variation of vegetation cover in wulatehouqi based on NDVI. For Resour Manag, 2017(6): 89
[11]	王科雯, 李晶, 王瑞國, 等. 勝利礦區植被覆蓋度時序變化的空間異質性監測. 測繪通報, 2020(11):1 Wang K W, Li J, Wang R G, et al. Spatial heterogeneity monitoring of temporal variation of vegetation coverage in Shengli mining area. Bull Surv Mapp, 2020(11): 1
[12]	邱潔, 張亞麗, 李明詩. 森林植被恢復光譜特征分析——以幕府山礦區為例. 遙感信息, 2020, 35(3):122 Qiu J, Zhang Y L, Li M S. Spectral characteristics analysis on forest vegetation recovery: A case study of mufu mountain mining area. Remote Sens Inf, 2020, 35(3): 122
[13]	Li S J, Wang J M, Zhang M. Characterizing and attributing the vegetation coverage changes in North Shanxi coal base of China from 1987 to 2020. Resour Policy, 2021, 74: 102331 doi: 10.1016/j.resourpol.2021.102331
[14]	Maneja R H, Miller J D, Li W, et al. Long-term NDVI and recent vegetation cover profiles of major offshore island nesting sites of sea turtles in Saudi waters of the northern Arabian Gulf. Ecol Indic, 2020, 117: 106612 doi: 10.1016/j.ecolind.2020.106612
[15]	Zoungrana B J B, Conrad C, Thiel M, et al. MODIS NDVI trends and fractional land cover change for improved assessments of vegetation degradation in Burkina Faso, West Africa. J Arid Environ, 2018, 153: 66 doi: 10.1016/j.jaridenv.2018.01.005
[16]	Hossain M L, Li J F. NDVI-based vegetation dynamics and its resistance and resilience to different intensities of climatic events. Glob Ecol Conserv, 2021, 30: e01768 doi: 10.1016/j.gecco.2021.e01768
[17]	Carlson T N, Ripley D A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ, 1997, 62(3): 241 doi: 10.1016/S0034-4257(97)00104-1
[18]	Zaitunah A, Samsuri, Sahara F. Mapping and assessment of vegetation cover change and species variation in Medan, North Sumatra. Heliyon, 2021, 7(7): e07637 doi: 10.1016/j.heliyon.2021.e07637
[19]	徐霞, 孫文彬, 王振. 基于TVDI的布爾臺礦區土壤濕度變化分析. 礦業科學學報, 2019, 4(4):285 Xu Xia, Sun Wenbin, Wang Zhen. Analysis of soil moisture changes of the Buertai mining area based on TVDI. J Mining Sci Technol, 2019, 4(4): 285
[20]	Wang W, Liu R Y, Gan F P, et al. Monitoring and evaluating restoration vegetation status in mine region using remote sensing data: Case study in Inner Mongolia, China. Remote Sens, 2021, 13(7): 1350 doi: 10.3390/rs13071350
[21]	竇永靜, 王讓虎, 付含培, 等. 山西省植被NDVI時空變化及驅動力研究. 山西大學學報(自然科學版),doi: 10.13451/j.sxu.ns.2021113 Dou Y J, Wang R H, Fu H P, et al. Spatiotemporal variation and driving forces of NDVI in Shanxi province. J Shanxi Univ (Nat Sci Ed),doi: 10.13451/j.sxu.ns.20211131
[22]	蔡美峰, 吳允權, 李鵬, 等. 寧夏地區煤炭資源綠色開發現狀與思路. 工程科學學報, 2022, 44(1):1 Cai M F, Wu Y Q, Li P, et al. Present situation and ideas of green development of coal resources in Ningxia Province. Chin J Eng, 2022, 44(1): 1
[23]	邢奕, 張文伯, 蘇偉, 等. 中國鋼鐵行業超低排放之路. 工程科學學報, 2021, 43(1):1 Xing Y, Zhang W B, Su W, et al. Research of ultra-low emission technologies of the iron and steel industry in China. Chin J Eng, 2021, 43(1): 1
[24]	郭鈮. 植被指數及其研究進展. 干旱氣象, 2003, 21(4):71 Guo N. Vegetation index and its advances. J Arid Meteorol, 2003, 21(4): 71
[25]	楊可明, 郭達志, 陳云浩. 高光譜植被遙感數據光譜特征分析. 計算機工程與應用, 2006, 42(31):213 doi: 10.3321/j.issn:1002-8331.2006.31.063 Yang K M, Guo D Z, Chen Y H. Analysis of vegetation spectral features based on hyperspectral imaging data. Comput Eng Appl, 2006, 42(31): 213 doi: 10.3321/j.issn:1002-8331.2006.31.063
[26]	Clevers J G P W. The application of a vegetation index in correcting the infrared reflectance for soil background. Symp Rem Sens Res Dev Envir Management,Enschede, 1986, 26: 221