陈晨, 李素敏, 王艳英, 李雁, 李卫海, 张泉. 高分卫星监测下的文山州植被生长环境与时空演变研究[J]. 云南大学学报(自然科学版), 2022, 44(6): 1183-1193. doi: 10.7540/j.ynu.20210590
引用本文: 陈晨, 李素敏, 王艳英, 李雁, 李卫海, 张泉. 高分卫星监测下的文山州植被生长环境与时空演变研究[J]. 云南大学学报(自然科学版), 2022, 44(6): 1183-1193. doi: 10.7540/j.ynu.20210590
CHEN Chen, LI Su-min, WANG Yan-ying, LI Yan, LI Wei-hai, ZHANG Quan. Vegetative environment and spatio-temporal evolution monitored by Gaofen satellites in Wenshan Prefecture[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(6): 1183-1193. DOI: 10.7540/j.ynu.20210590
Citation: CHEN Chen, LI Su-min, WANG Yan-ying, LI Yan, LI Wei-hai, ZHANG Quan. Vegetative environment and spatio-temporal evolution monitored by Gaofen satellites in Wenshan Prefecture[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(6): 1183-1193. DOI: 10.7540/j.ynu.20210590

高分卫星监测下的文山州植被生长环境与时空演变研究

Vegetative environment and spatio-temporal evolution monitored by Gaofen satellites in Wenshan Prefecture

  • 摘要: 云南省文山州早年石漠化严重,生态环境脆弱敏感,经过多年治理已呈现良好的发展态势,但缺乏采用多源遥感手段对其进行长时序广面域的动态监测的研究. 为探索国产卫星在植被监测方面的应用潜力,研究结合高分一号(GF-1)、高分五号(GF-5)、高分六号(GF-6)数据优势,对2013—2020年文山州植被分布情况与生长环境进行反演. 首先利用旱季的GF-5数据进行高光谱植被监测,将可见短波红外高级高光谱成像仪(Advanced Hyperspectral Imager,AHSI)、全谱段光谱成像仪(Visual and Infrared Multispectral Sensor,VIMS)数据叠加进行遥感生态指数分析(Remote Sensing Ecological Index,RSEI);然后利用GF-1、GF-6进行植被覆盖度反演时序性监测. 结果表明,位于砚山、广南、丘北三县交界处的实验区RSEI平均值为0.70,生态环境质量处于良状态(0.60~0.80). 砚山西部和丘北南部农作物胁迫指数高、易燃性高,文山市北部、丘北西南部以及砚山中部的林木健康等级低. 2013—2020年,文山州平均覆盖度均值处于较高植被覆盖度区间,平均覆盖度及高植被覆盖区面积占比呈先下降后上升的趋势.

     

    Abstract: In Wenshan Prefecture, rocky desertification used to be serious, and the ecological environment used to be fragile and sensitive. After years of improvement, a good development trend has appeared. However, multi-source remote sensing is seldom used to carry out its dynamic monitoring in long time series and wide areas. To explore the application potential of domestic satellites in vegetation monitoring, this study combined the advantages of Gaofen-1 satellite (GF-1), Gaofen-5 satellite (GF-5), and Gaofen-6 satellite (GF-6) to invert the vegetative distribution and environment in Wenshan Prefecture from 2013 to 2020. Firstly, the data of GF-5 in the dry season were used for hyperspectral vegetation monitoring, and the data of Advanced Hyperspectral Imager (AHSI) and Visual and Infrared Multispectral Sensor (VIMS) were combined for Remote Sensing Ecological Index (RSEI) analysis. Then, GF-1 and GF-6 were used for time series monitoring through Vegetation Fractional Coverage inversion. The results showed that the average RSEI of the experimental area located at the juncture of the three counties (Yanshan, Guangnan, and Qiubei) was 0.70, indicating that the ecological environment quality was in a relatively good state (from 0.60 to 0.80). The crop stress index and ignitability were high in the west of Yanshan County and the South of Qiubei County, and the forest health index was low in the North of Wenshan City, the Southwest of Qiubei County, and the middle of Yanshan County. From 2013 to 2020, the average vegetation coverage of Wenshan Prefecture was in the range of high vegetation coverage; the proportion of average coverage and highest vegetation coverage area decreased first and then increased.

     

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