Forest and Grassland Resources Research >
Evaluation of Red Edge of Sentinel-2A in Vegetation Classification of Lakeside Zone
Received date: 2021-01-13
Revised date: 2021-03-25
Online published: 2021-06-03
Sentinel-2A image has been widely used in the vegetation growth monitoring field thanks to the advantages of high spatial resolution and continuous times series.Its special settings of the red edge bands ensure it can accurately capture the vegetation red edge features,which can avoid the influence of chlorophyll saturation effect and make it possible for the vegetation classification of high vegetation coverage.This study makes the classification of vegetation community in the lakeside of Taihu lake based on existing knowledge and builds a vegetation red edge slope calculation model to calculate the variation of slope of red edge in 2017.Finally,the results of classification based on normalized vegetation index and quantitative statistics on the separability of different vegetation communities under different classification methods are used as verification.The results show that the slope of the red edge of vegetation has a better effect on the classification of vegetation community in the lakeside zone,and has a more obvious advantage in the period of high vegetation cover.Therefore,it can be concluded that the red edge slope feature of sentinel-2A has a good application in the classification of vegetation community.
Key words: Sentinel-2A; lakeside zone; vegetation classification; slope of red edge; NDVI
Yihan PU , Dong ZHANG , Dandan XU , Zhaoqing LUAN . Evaluation of Red Edge of Sentinel-2A in Vegetation Classification of Lakeside Zone[J]. Forest and Grassland Resources Research, 2021 , 0(2) : 131 -139 . DOI: 10.13466/j.cnki.lyzygl.2021.02.018
| [1] | 颜昌宙, 金相灿, 赵景柱, 等. 湖滨带的功能及其管理[J]. 生态环境, 2005(2):294-298. |
| [2] | 王文杰, 张建辉, 李雪. 遥感在生态与环境监测中的主要应用领域[J]. 中国环境监测, 1999(6):48-51. |
| [3] | 潘蔷, 吴桐, 李明纯, 等. 遥感在植被监测中的应用[J]. 林业科技情报, 2016,48(2):44-46. |
| [4] | 刘佳, 王利民, 杨福刚, 等. 红边与短波红外谱段的玉米大豆识别能力研究[J]. 中国农学通报, 2018,34(35):120-129. |
| [5] | 杨超, 邬国锋, 李清泉, 等. 植被遥感分类方法研究进展[J]. 地理与地理信息科学, 2018,34(4):24-32. |
| [6] | Clevers J G P W, Gitelson A A. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3[J]. International Journal of Applied Earth Observation and Geoinformation, 2013,23:344-351. |
| [7] | 浦瑞良, 宫鹏. 高光谱遥感及其应用[M]. 北京: 高等教育出版社, 2003: 254. |
| [8] | Schuster C, Forster M, Kleinschmit B. Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data[J]. International Journal of Remote Sensing, 2012,33(17/18):5583-5599. |
| [9] | 陈兵, 韩焕勇, 王方永, 等. 利用光谱红边参数监测黄萎病棉叶叶绿素和氮素含量[J]. 作物学报, 2013,39(2):319-329. |
| [10] | Horler D N H, Dockray M, Barber J. The red edge of plant leaf reflectance[J]. International Journal of Remote Sensing, 1983,4(2):273-288. |
| [11] | Filella I, Penuelas J. The red edge position and shape as indicators of plant chlorophyll content,biomass and hydric status[J]. International journal of remote sensing, 2007,15(7):1459-1470. |
| [12] | 郑利娟. 基于高分一/六号卫星影像特征的农作物分类研究[D]. 北京: 中国科学院大学(中国科学院遥感与数字地球研究所), 2017. |
| [13] | 张卫春, 刘洪斌, 武伟. 基于随机森林和Sentinel-2影像数据的低山丘陵区土地利用分类——以重庆市江津区李市镇为例[J]. 长江流域资源与环境, 2019,28(6):1334-1343. |
| [14] | Sibanda M, Mutanga O, Rouget M. Testing the capabilities of the new WorldView-3 space-borne sensor's red-edge spectral band in discriminating and mapping complex grassland management treatments[J]. International Journal of Remote Sensing, 2017,38(1/2):1-22. |
| [15] | 浦瑞良, 宫鹏. 森林生物化学与CASI高光谱分辨率遥感数据的相关分析[J]. 遥感学报, 1997(2):115-123. |
| [16] | 方灿莹, 王琳, 徐涵秋. 不同植被红边指数在城市草地健康判别中的对比研究[J]. 地球信息科学学报, 2017,19(10):1382-1392. |
| [17] | 毕恺艺, 牛铮, 黄妮, 等. 基于Sentinel-2A时序数据和面向对象决策树方法的植被识别[J]. 地理与地理信息科学, 2017,33(5):16-20. |
| [18] | 郭文婷, 张晓丽. 基于Sentinel-2时序多特征的植被分类[J]. 浙江农林大学学报, 2019,36(5):849-856. |
| [19] | 汪政辉, 辛存林, 孙喆, 等. Sentinel-2数据的小型湖泊水生植被类群自动提取方法——以翠屏湖为例[J]. 遥感信息, 2019,34(5):132-141. |
| [20] | 朱晓成, 吴永波, 余昱莹, 等. 太湖乔木林河岸植被缓冲带截留氮素效率[J]. 浙江农林大学学报, 2019,36(3):565-572. |
| [21] | 周子尧, 吴永波, 余昱莹, 等. 河岸杨树人工林缓冲带对径流水中磷素截留效果的研究[J]. 南京林业大学学报:自然科学版, 2019,43(2):100-106. |
| [22] | 王秋光. 太湖竺山湾植被缓冲带对地表径流的净化效果[D]. 哈尔滨: 东北林业大学, 2014. |
| [23] | 方红亮, 田庆久. 高光谱遥感在植被监测中的研究综述[J]. 遥感技术与应用, 1998(1):65-72. |
| [24] | 李晓兵, 王瑛, 李克让. NDVI对降水季节性和年际变化的敏感性[J]. 地理学报, 2000(S1):82-89. |
| [25] | 杨胜天, 刘昌明, 孙睿. 近20年来黄河流域植被覆盖变化分析[J]. 地理学报, 2002(6):679-684. |
| [26] | 郭铌. 植被指数及其研究进展[J]. 干旱气象, 2003(4):71-75. |
| [27] | 莫康乐, 陈立欣, 周洁, 等. 永定河沿河沙地杨树人工林蒸腾耗水特征及其环境响应[J]. 生态学报, 2014,34(20):5812-5822. |
| [28] | 王丹碧, 余华, 凌子然, 等. 落羽杉与墨西哥落羽杉3个杂交后代品系的生长和杂种优势分析[J]. 植物资源与环境学报, 2017,26(1):55-62. |
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