基于遥感技术的哈尔滨巴彦—方正地区生态状况评价

doi:10.19388/j.zgdzdc.2023.06.13

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摘要开展生态状况评价可以了解一个地区的生态环境现状。以黑龙江省哈尔滨市巴彦—方正地区为研究区,利用2019年9月的Landsat 8卫星遥感数据,提取了该地区3个县的地面温度、归一化植被指数(normalized difference vegetation index,NDVI)、亮度和湿度; 之后采用遥感生态指数(remote sensing ecological index,RSEI)将生态状况划分为优良、良好、中等、一般、较差5类; 最后利用2020年的GlobeLand 30数据结合目视解译,在研究区划分出林草地、建设用地、旱地和水田,并分别以各县域和用地类型为研究对象开展生态状况评价与空间分析。结果显示: 各县域间的生态状况差别不明显,且整体上均为良好,其中优良、良好、中等的区域占比约96%; 不同用地类型间的生态状况差异较大,其中林草地以优良、良好为主,建设用地以中等、一般为主,旱地以良好为主,水田以良好、中等为主。该研究初步揭示了巴彦—方正地区的生态状况,可为绿色发展提供数据参考。

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	陈卓
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关键词 ：哈尔滨巴彦—方正地区, 遥感, 生态评价, RSEI, Landsat 8

Abstract：Conducting ecological assessment would help understanding the ecological conditions. In this paper, Bayan-Fangzheng area of Harbin City of Heilongjiang Province was chosen as the study area. Based on Landsat 8 satellite remote sensing data in September 2019, the authors extracted the surface temperature, normalized difference vegetation index (NDVI), brightness and humidity of 3 counties in this area, and then classified the ecological condition as excellent, good, moderate, acceptable and poor using remote sensing ecological index (RSEI). Finally, forest-grass land, construction land, dry farm, and paddy field were classified on the basis of GlobeLand 30 data in 2020 and visual interpretation, and ecological condition of each county and land cover were assessed and spatially analyzed. Results showed that the ecological condition for each county was identical and generally good, and the excellent, good and moderate region accounted for nearly 96% of the total area. The ecological condition varied between different land covers, with forest-grass land being excellent and good, construction land being moderate and acceptable, and paddy field being good and moderate. The understanding on the ecological condition was preliminarily revealed in Bayan-Fangzheng area from this research, which could provide valuable data for green development.

Key words： Harbin,Hayan-Fangzheng area remote sensing ecological assessment RSEI Landsat 8

收稿日期: 2022-07-15

中图分类号:	P96
	X87

基金资助:中国地质调查局“东北地质科技创新中心区创基金项目(编号: QCJJ2022-6)”资助

通讯作者: ^*刘涛(1975—),男,正高级工程师,主要从事自然资源综合调查、规划和地质矿产研究工作。Email: huangjinliutao@163.com。

作者简介: 陈卓(1989—),男,高级工程师,主要从事资源环境遥感、自然资源调查工作。Email: chenz121@163.com。

引用本文:

陈卓, 刘涛, 段明新, 宋昊南, 赵喜东. 基于遥感技术的哈尔滨巴彦—方正地区生态状况评价[J]. 中国地质调查, 2023, 10(6): 111-119.
CHEN Zhuo, LIU Tao, DUAN Mingxin, SONG Haonan, ZHAO Xidong. Ecological assessment in Bayan-Fangzheng area of Harbin based on remote sensing method. , 2023, 10(6): 111-119.

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[1] Zwiers F W,Zhang X B,Feng Y.Anthropogenic influence on long return period daily temperature extremes at regional scales[J].Journal of Climate,2011,24(3):881-892.
[2] Min S K,Zhang X B,Zwiers F,et al.Multimodel detection and attribution of extreme temperature changes[J].Journal of Climate,2013,26(19):7430-7451.
[3] Lu C H,Sun Y,Zhang X B.Multimodel detection and attribution of changes in warm and cold spell durations[J].Environmental Research Letters,2018,13(7):074013.
[4] 刘世梁,刘芦萌,武雪,等.区域生态效应研究中人类活动强度定量化评价[J].生态学报,2018,38(19):6797-6809.
Liu S L,Liu L M,Wu X,et al.Quantitative evaluation of human activity intensity on the regional ecological impact studies[J].Acta Ecologica Sinica,2018,38(19):6797-6809.
[5] 秦奇,刘晓煌,孙兴丽,等.中美两国对地系统观测比较分析及对中国的启示[J].中国地质调查,2021,8(2):8-13.
Qin Q,Liu X H,Sun X L,et al.Comparative analysis of the Earth Observation System between China and the United States and its implications to China[J].Geological Survey of China,2021,8(2):8-13.
[6] Wang H N,Tang L N,Qiu Q Y,et al.Assessing the impacts of urban expansion on habitat quality by combining the concepts of land use,landscape,and Habitat in two urban agglomerations in China[J].Sustainability,2020,12(11):4346.
[7] Wang L M,Tian F Q,Wang X F,et al.Attribution of the land surface temperature response to land-use conversions from bare land[J].Global and Planetary Change,2020,193:103268.
[8] Qureshi S,Alavipanah S K,Konyushkova M,et al.A remotely sensed assessment of surface ecological change over the Gomishan wetland,Iran[J].Remote Sensing,2020,12(18):2989.
[9] Firozjaei M K,Fathololoumi S,Weng Q H,et al.Remotely sensed urban surface ecological index (RSUSEI):An analytical framework for assessing the surface ecological status in urban environments[J].Remote Sensing,2020,12(12):2029.
[10] Panah S K A,Mogaddam M K,Firozjaei M K.Monitoring spatiotemporal changes of heat island in Babol city due to land use changes[J].The International Archives of the Photogrammetry,Remote Sensing & Spatial Information Sciences,2017,XLII-4-W4:17-22.
[11] Xu D D,Guo X L,Li Z Q,et al.Measuring the dead component of mixed grassland with Landsat imagery[J].Remote Sensing of Environment,2014,142:33-43.
[12] Jin S M,Sader S A.Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances[J].Remote Sensing of Environment,2005,94(3):364-372.
[13] Chen C,Bu J,Zhang Y H,et al.The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images[J].Advances in Space Research,2019,64(9):1780-1791.
[14] Dossou J F,Li X X,Sadek M,et al.Hybrid model for ecological vulnerability assessment in Benin[J].Scientific Reports,2021,11:2449.
[15] Tokatli C,Uğurluoğlu A,Köse E,et al.Ecological risk assessment of toxic metal contamination in a significant mining basin in Turkey[J].Environmental Earth Sciences,2021,80(1):17.
[16] 中华人民共和国环境保护部.HJ 192-2015生态环境状况评价技术规范[S].北京:中国环境科学出版社,2015.
Ministry of Environmental Protection of the People's Republic of China.HJ 192-2015 Technical Criterion for Ecosystem Status Evaluation[S].Beijing:China Environmental Press,2015.
[17] 陈卓,陈建平,周传芳,等.基于遥感的大兴安岭小扬气镇用地类型变化及生态环境状况评价[J].中国地质调查,2021,8(6):126-134.
Chen Z,Chen J P,Zhou C F,et al.Landuse types change and ecological environment assessment of Xiaoyangqi district of Daxing'an Mountains based on remote sensing[J].Geological Survey of China,2021,8(6):126-134.
[18] 陈卓,陈建平,刘涛,等.大兴安岭漠河—塔河地区土地利用及生态状况动态分析[J].科学技术与工程,2022,22(8):3387-3395.
Chen Z,Chen J P,Liu T,et al.Dynamic analysis of land use and ecological condition in Mohe-Tahe District,Greater Hinggan Mountains[J].Science Technology and Engineering,2022,22(8):3387-3395.
[19] 徐涵秋. 城市遥感生态指数的创建及其应用[J].生态学报,2013,33(24):7853-7862.
Xu H Q.A remote sensing urban ecological index and its application[J].Acta Ecologica Sinica,2013,33(24):7853-7862.
[20] 李尚志,薛华柱,李静茹,等.基于遥感生态指数的河套灌区生态环境质量变化研究[J].生态科学,2022,41(3):156-165.
Li S Z,Xue H Z,Li J R,et al.Study on the ecological environment quality change in Hetao irrigation area with remote sensing ecology index[J].Ecological Science,2022,41(3):156-165.
[21] 汪东川,陈星,孙志超,等.格尔木长时间序列遥感生态指数变化监测[J].生态学报,2022,42(14):5922-5933.
Wang D C,Chen X,Sun Z C,et al.Monitoring of changes in the ecological index of long-time sequence remote sensing in Golmud,Qinghai Province[J].Acta Ecologica Sinica,2022,42(14):5922-5933.
[22] 刘玉琴. 基于RS和GIS的哈尔滨市生态环境质量评价与分析[D].哈尔滨:哈尔滨师范大学,2021.
Liu Y Q.Evaluation and Analysis of Ecological Environment Quality in Harbin Based on RS and GIS[D].Harbin:Harbin Normal University,2021.
[23] Shi T T,Xu H Q.Derivation of tasseled cap transformation coefficients for Sentinel-2 MSI At-Sensor reflectance data[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019,12(10):4038-4048.
[24] Sobrino J A,Jiménez-Muñoz J C,Paolini L.Land surface temperature retrieval from LANDSAT TM 5[J].Remote Sensing of Environment,2004,90(4):434-440.
[25] Firozjaei M K,Kiavarz M,Alavipanah S K,et al.Monitoring and forecasting heat island intensity through multi-temporal image analysis and cellular automata-Markov chain modelling:A case of Babol city,Iran[J].Ecological Indicators,2018,91:155-170.
[26] Weng Q H,Firozjaei M K,Sedighi A,et al.Statistical analysis of surface urban heat island intensity variations:A case study of Babol city,Iran[J].GIScience & Remote Sensing,2019,56(4):576-604.
[27] 韩凯旭. 1990—2019年加拿大Alberta省油砂矿区地表温度变化研究[D].长春:吉林大学,2020.
Han K X.Study on Surface Temperature Change of Oil Sand Mining area in Alberta Province,Canada,1990-2019[D].Changchun:Jilin University,2020.
[28] 陈明辉. 利用Landsat卫星影像进行东莞市地表温度反演与变化分析[J].测绘通报,2021(3):60-68.
Chen M H.Land surface temperature inversion and change analysis of Dongguan using Landsat images[J].Bulletin of Surveying and Mapping,2021(3):60-68.
[29] Crósta A P,De Souza Filho C R,Azevedo F,et al.Targeting key alteration minerals in epithermal deposits in Patagonia,Argentina,using ASTER imagery and principal component analysis[J].International Journal of Remote Sensing,2003,24(21):4233-4240.
[30] 王庆慧. 景观格局对温度和降水的调节作用研究——以南方丘陵山地和内蒙古草原为例[D].北京:中央民族大学,2019.
Wang Q H.Regulating Effect of Landscape Pattern on Temperature and Precipitation-A Case at the Hilly Regions of Southern China and Inner Mongolia[D].Beijing:Minzu University of China,2019.
[31] 刘占宇. 水稻主要病虫害胁迫遥感监测研究[D].杭州:浙江大学,2008.
Liu Z Y.Monitoring the Rice Disease and Insect Stress with Remote Sensing[D].Hangzhou:Zhejiang University,2008.
[32] 卞景阳. 哈尔滨地区不同熟期水稻产量及主要性状变化规律[J].北方水稻,2009,39(3):17-18.
Bian J Y.Variation principle of yield and major traits in rice with different maturity in Harbin[J].North Rice,2009,39(3):17-18.
[33] 杨斌,王斌.光谱解混技术及其应用研究进展[J].激光与光电子学进展,2021,58(16):76-103.
Yang B,Wang B.Research advances of spectral unmixing technology and its applications[J].Laser & Optoelectronics Progress,2021,58(16):76-103.