遥感技术与应用 2022, Vol. 37 Issue (6): 1504-1512 DOI: 10.11873/j.issn.1004-0323.2022.6.1504 |
遥感应用 |
|
|
|
|
湟水流域2000—2019年植被变化趋势特征和延续性分析 |
王蕊1(),拜得珍1,尹芳2,刘磊3() |
1.青海省环境科学研究设计院有限公司,青海 西宁 810000 2.长安大学 土地工程学院,陕西 西安 710054 3.长安大学 地球科学与资源学院,陕西 西安 710054 |
|
Trends and Continuity Analysis of Vegetation Change in Huangshui River Basin from 2000 to 2019 |
Rui Wang1(),Dezhen Bai1,Fang Yin2,Lei Liu3() |
1.Qinghai Research and Design institute of Environmental Sciences,Xining 810000,China 2.School of Land Engineering,Chang’an University,Xi’an 710054,China 3.School of Earth Sciences and Resources,Chang’an University,Xi’an 710054,China |
引用本文:
王蕊,拜得珍,尹芳,刘磊. 湟水流域2000—2019年植被变化趋势特征和延续性分析[J]. 遥感技术与应用, 2022, 37(6): 1504-1512.
Rui Wang,Dezhen Bai,Fang Yin,Lei Liu. Trends and Continuity Analysis of Vegetation Change in Huangshui River Basin from 2000 to 2019. Remote Sensing Technology and Application, 2022, 37(6): 1504-1512.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2022.6.1504
或
http://www.rsta.ac.cn/CN/Y2022/V37/I6/1504
|
1 |
Li Xin, Liu Shaomin, Ma Mingguo, et al. HiWATER: An integrated remote sensing experiment on hydrological and ecological processes in Heihe River Basin[J]. Advances in Earth Science, 2012, 27(5):481-498.
|
1 |
李新, 刘绍民, 马明国, 等. 黑河流域生态—水文过程综合遥感观测联合试验总体设计[J]. 地球科学进展, 2012, 27(5):481-498.
|
2 |
Ma Huijuan, Gao Xiaohong, Gu Xiaotian. Research on land use/land cover classification in complex topography based on random forest method[J]. Journal of Geo-Information Science,2019,21(3):359-371.
|
2 |
马慧娟,高小红,谷晓天.随机森林方法支持的复杂地形区土地利用/土地覆被分类研究[J].地球信息科学学报,2019,21(3):359-371.
|
3 |
Shi Feifei, Gao Xiaohong, Yang Lingyu, et al. Study on classification of typical crops in Huangshui watershed based on HJ-1A hyperspectral remote sensing data[J]. Remote Sensing Technology and Application,2017,32(2):206-217.
|
3 |
史飞飞,高小红,杨灵玉,等.基于HJ-1A高光谱遥感数据的湟水流域典型农作物分类研究[J].遥感技术与应用,2017,32(2):206-217.
|
4 |
He Xiaohui, Wang Fang, Gong Jiaguo, et al. Study on regional hydrological change in Xining section of Huangshui River under climate change[J]. Yellow River,2015,37(9):11-13,16.
|
4 |
赫晓慧,王芳,龚家国,等.气候变化下湟水河西宁段区域水文变化研究[J].人民黄河,2015,37(9):11-13,16.
|
5 |
Ye Peilong, Zhang Qiang, Wang Ying, et al. Climate change and its effects on ecological vegetation and runoff in the upper reaches of the Yellow River during 1980—2018[J].Acta Scien-tiae Atmosphere Sinica,2020,43(6):967-979.
|
5 |
叶培龙,张强,王莺,等.1980—2018年黄河上游气候变化及其对生态植被和径流量的影响[J].大气科学学报,2020,43(6):967-979.
|
6 |
Zhang Tiafeng, Zhu Xide, Wang Yongjian, et al. Quantitative assessment of the impacts of climate change and human activities on runoff in the Huangshui River Basin[J]. Resources Science,2014,36(11):2256-2262.
|
6 |
张调风,朱西德,王永剑,等.气候变化和人类活动对湟水河流域径流量影响的定量评估[J].资源科学, 2014,36(11):2256-2262.
|
7 |
Cai Chunling. Case study on environmental risk of construction project[J]. Industrial Safety and Environmental Protection,2010,36(8):26-28.
|
7 |
蔡春玲.建设项目环境风险实例分析[J].工业安全与环保,2010,36(8):26-28.
|
8 |
Li Xupu, Zhang Fuping, Wei Yongfen, et al. Research on dynamic changes of the vegetation coverage levels in Heihe River Basin[J]. Areal Research & Development, 2013, 32(3):108-114.
|
8 |
李旭谱, 张福平, 魏永芬, 等. 黑河流域植被覆盖程度变化研究[J]. 地域研究与开发, 2013, 32(3):108-114.
|
9 |
Han Huibang, Ma Mingguo, Yan Ping. Periodicity analysis of NDVI time series and its relationship with climatic factors in the Heihe River Basin in China[J]. Remote Sensing Technology and Application, 2011, 26(5): 554-560.
|
9 |
韩辉邦, 马明国, 严平. 黑河流域 NDVI 周期性分析及其与气候因子的关系[J]. 遥感技术与应用, 2011, 26(5): 554-560.
|
10 |
Han Huibang, Ma Mingguo, Ma Shoucun, et al. Vegetation change and its climatic driving factors in Qinghai Province in recent 30 years[J].Arid Land Research,2017,34(5):1164-1174.
|
10 |
韩辉邦,马明国,马守存,等. 近30 a青海省植被变化及其气候驱动因子分析[J].干旱区研究,2017,34(5):1164-1174.
|
11 |
Du Mei, Zhao Jianyong. Spatiotemporal variation characteristics of vegetation cover in Huangshui River Basin based on MODIS NDVI[J]. Journal of Qinghai University, 2020, 38(6):77-84
|
11 |
杜梅,赵健赟.基于MODIS NDVI的湟水流域植被覆盖时空变化特征分析[J].青海大学学报,2020,38(6):77-84.
|
12 |
Liu X, Hu G, Chen Y, et al. High-resolution multi-temporal mapping of global urban land using landsat images based on the Google Earth Engine platform[J]. Remote Sensing of Environment, 2018, 209: 227-239.
|
13 |
Hao Binfei, Han Xujun, Ma Mingguo, et al. Research process on the application of Google Earth Engine in geoscience and environmental sciences[J]. Remote sensing Technology and Application, 2018, 33(4):600-611.
|
13 |
郝斌飞, 韩旭军, 马明国, 等. Google Earth Engine在地球科学与环境科学中的应用研究进展[J]. 遥感技术与应用,2018,33(4):600-611.
|
14 |
Gorelick N, Hancher M, Dixon M, et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment,2017,202:18-27. DOI:10. 1016/j.rse.2017.06.031 .
doi: 10. 1016/j.rse.2017.06.031
|
15 |
Kong D, Zhang Y, Gu X, et al. A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 155(SEP.):13-24.
|
16 |
Vermeulen L M, Munch Z, Palmer A. Fractional vegetation cover estimation in Southern African rangelands using spectral mixture analysis and Google Earth Engine[J]. Computers and Electronics in Agriculture, 2021, 182(12):105980.DOI:10.1016/j.compag.2020.105980 .
doi: 10.1016/j.compag.2020.105980
|
17 |
Tan Meibao, Ran Youhua, Su Yang, et al. Characteristics of vegetation change and its sustainability assessment in the Heihe River Basin from 2001 to 2017[J].Remote Sensing Technology and Application, 2020, 35 (2):71-80.
|
17 |
谭美宝, 冉有华, 苏阳,等. 黑河流域2001~2017年植被变化特征及其可延续性评价[J]. 遥感技术与应用, 2020,35(2):71-80.
|
18 |
Statistics Bureau of Qinghai Province Statistical Yearbook of Qinghai Province 2016[M]. Beijing: China Statistics Press, 2016.
|
18 |
青海省统计局 编. 青海省统计年鉴2016[M]. 北京:中国统计出版社, 2016.
|
19 |
Cai B F, Yu R. Advance and evaluation in the long time series vegetation trends research based on remote sensing[J]. Journal of Remote Sensing, 2009, 13(6): 1170-1186.
|
20 |
Tamiminia H, Salehi B, Mahdianpari M, et al. Google Earth Engine for Geo-Big Data applications: A meta-analysis and systematic review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2020. DOI:10.1016/j.isprsjprs.2020.04.001 .
doi: 10.1016/j.isprsjprs.2020.04.001
|
21 |
Jiang W, Yuan L, Wang W,et al. Spatio-temporal analysis of vegetation variation in the Yellow River Basin[J]. Ecological Indicators,2015,51:117-126.
|
22 |
Long Shuang, Guo Zhengfei, Xu Jiao,et al.Analysis of spatialtemporal variation characteristics of vegetation coverage in China based on Google Earth Engine[J]. Remote Sensing Technology and Application, 2020, 35(2):326-334.
|
22 |
龙爽,郭正飞,徐粒,等.基于Google Earth Engine的中国植被覆盖度时空变化特征分析[J].遥感技术与应用,2020,35(2):326-334.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|