DU Baolong,YANG Shiqi,WANG Yongqian,et al.Spatial and Temporal Variations of Fractional VegetationCoverage in Chongqing based on FY-3C/VIRR Data[J].Journal of Chengdu University of Information Technology,2019,(01):54-62.[doi:10.16836/j.cnki.jcuit.2019.01.012]
基于FY-3C/VIRR卫星数据重庆植被覆盖度时空变化研究
- Title:
- Spatial and Temporal Variations of Fractional VegetationCoverage in Chongqing based on FY-3C/VIRR Data
- 文章编号:
- 2096-1618(2019)01-0054-09
- Keywords:
- FY-3C/VIRR data; vegetation index; fractional vegetation coverage; Chongqing; dimidiate pixel model
- 分类号:
- TP79:P407
- 文献标志码:
- A
- 摘要:
- 随着中国产风云系列卫星的飞速发展,FY系列遥感数据种类不断丰富。中国大多数植被监测研究重视使用国外数据研究轻视国产数据的应用,文中探究利用中国产FY-3C/VIRR植被指数产品数据监测区域植被覆盖度年内变化规律的可靠性。以植被覆盖度(FC)为监测指标,利用Aqua/MODIS植被指数产品数据对比,采用像元二分模型对重庆区域2015年植被覆盖度进行反演分析。结果表明,基于FY-3C/VIRR的NDVI植被指数数据与Aqua/MODIS植被指数数据在时空分布上具有良好的一致性。空间上,高值区集中分布在山区,低值区集中在人口聚居的主城区和长江流域。时间序列上,1-8月持续升高,8-12月波动降低,与重庆市实际植被生长规律相同。对重庆市4种主要地表覆盖类型(低海拔混交林、低海拔小起伏山地作物、低海拔中起伏山地作物、中海拔混交林)提取分析,结果显示FY-3C/VIRR植被指数数据对多种地物覆盖的大范围研究区植被监测能力与Aqua/MODIS植被指数数据相似。重庆市植被覆盖度空间分布差异及分布规律特征明显,重庆市主城区及主要水系呈现低值,高值区域主要集中在东北山区和东南局部山区。高值区分布与山区和水系走势一致,呈现条纹式分布。时间序列上,基于FY-3C/VIRR的植被覆盖度1-10月呈现波动上升,10-12月显著下降,最低值出现在2月为38.32%,最大值出现在10月为72.88%。2015年年均植被覆盖度FY-3C/VIRR为53.45%,Aqua/MODIS为65.55%。
- Abstract:
- With the rapid development of domestic FY-Serial meteorological satellites, the variety of FY Satellite data has been continuously enlarged. In China, the majority of fractional vegetation monitoring researches put emphasis on using foreign data instead of domestic data. With the help of domestic FY-3C/VIRR vegetation index product data, this article explores the reliability of annual change laws within the Fractional Vegetation Coverage area. Taking Fractional Vegetation Coverage(FC)as monitoring index, this article makes comparisons with Aqua/MODIS vegetation index product data, and conducts a back analysis on the Fractional Vegetation Coverage of Chongqing in the 2015 with the Dimidiate Pixel Model(DPM). Result shows that the data of NDVI based on FY-3C/VIRR are in favorable consistency with the data of Aqua/MODIS in space and time. In terms of space, areas of high index were concentrated in mountainous areas while areas of low index in the main populous urban areas and Yangtze river basins. In terms of time, the data increased continuously from January to August, while a fluctuant decline occurred from August to December, which was consistent with the actual law of vegetation growth in Chongqing. Based on the extraction analysis of four major surface coverage types in Chongqing(low-elevation mixed forest, low-elevation low-relief mountainous crops,low-elevation intermediate-relief mountainous crops, intermediate-elevation mixed forest), the result of this study shows that the FY-3C/VIRR NDVI data has the similar monitoring ability with Aqua/MODIS NDVI data in the extensive research area covered with various vegetation. There are obvious allocation differences and evident distribution features of FC in Chongqing. In Chongqing, the main urban area and the main water system, the FCis low. Areas of high FC are mainly located at the northeast mountainous area and part of the southeast mountainous area. The distribution trend of high FC area was consistent with the trend of mountainous area and water system, showing a fringe distribution trend. In terms of time series, the FC based on FY-3C/VIRR increased with fluctuation from January to October. However, there was a significant decrease from October to December. The minimum coverage was 38.32% in February while the maximum was 72.88% in October. In 2015, the average annual FC was 53.45% while Aqua/MODIS was 65.55%.
参考文献/References:
[1] 权文婷,周辉,李红梅,等.基于TM影像的重庆市北碚区地表植被覆盖变化[J].西南大学学报(自然科学版),2009,31(4):100-104.
[2] 徐娜,吴荣华,胡秀清,等.FY-3C/MERSI反射波段在轨宽动态综合辐射定标方法[J].光学学报,2015,35(12):1228001-1-1228001-9.
[3] 李建国,濮励杰,刘金萍,等.2001年至2010年三峡库区重庆段植被活动时空特征及其影响因素[J].资源科学,2012,34(8):1500-1507.
[4] 朱林富,杨华.基于MODIS数据的重庆NDVI时空分异研究[J].重庆师范大学学报(自然科学版),2015,32(2):38-44.
[5] 马驰,卢玉东.重庆南部TM图像植被指数与植被覆盖度信息的关系研究[J].水土保持研究,2008,15(6):136-138.
[6] 兰明娟,魏虹,熊春妮.武汉地区1988-2002年植被覆盖度变化动态分析[J].遥感技术与应用,2008,23(5):511-516.
[7] 李惠敏,刘洪斌,武伟.近10年重庆市归一化植被指数变化分析[J].地理科学,2010,30(1):119-123.
[8] 刘倩楠,岳彩荣,欧阳志云,等.基于MODIS-NDVI时序数据的重庆市植被变化研究[J].测绘与空间地理信息,2012,35(3):99-102.
[9] 王博为,王永前,杨世琦.基于FY-3A/VIRR卫星数据的干旱监测研究[J].成都信息工程大学学报,2016,31(6):637-644.
[10] 倪波顺,高阳华,李月臣,等.FY-3A/VIRR数据的重庆市干旱监测研究[J].西南大学学报,2014,36(7):143-147.
[11] Pech R P,Greatz R D,Davis A W.Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland[J].International Journal of remote sensing,1986,7(3):389-403.
[12] 叶勤玉,高阳华,杨世琦,等.基于MODIS数据的重庆市植被覆盖度时空变化分析[J].高原山地气象研究,2016,36(2):53-58.
[13] Shabanov N,Zhou L,Knyazikhin Y,et al.Analysis of inter-annual changes in northern vegetation activity observed in AVHRR data from 1981 to 1994[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(1):115-130.
[14] 肖洋,熊勤犁,欧阳志云,等.基于MODIS数据的重庆市植被覆盖度动态变化研究[J].西南大学学报,2013,35(7):121-126.
[15] 方精云,朴世龙,贺金生,等.近20年来中国植被活动在增强[J].中国科学(C辑),2003,33(6):554-565.
[16] Gitelson A A,Kaufman Y J,Stark R,et al.Novel algorithms for remote estimation of vegetation fraction[J].Remote sensing of Environment,2002,80(1):76-87.
[17] Myneni R B,Keeling C D,Tucker C J,et al.Increased plant growth in the northern high latitudes from 1981 to 1991[J].Nature,1997,386:698-702.
[18] Lindquist E J,Hansen M C,Roy D P,et al.The suitability of decadal image data set for mapping tropical forest cover change in the democratic republic of congoimplications for the global land survey[J].International journal of remote sensing,2008,29(23-24):7269-7275.
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备注/Memo
收稿日期:2018-03-07基金项目:国家自然科学基金资助项目(41471305); 重庆市气象局开放基金资助项目(kfjj-201402); 四川省教育厅创新团队资助项目(16TD0024); FY3应用示范资助项目(FY-3(02)-UDS-1.11.2)