|
基于遥感生态指数的治沟造地区生态环境质量演变研究
|
Abstract:
本研究以典型治沟造地区为研究对象,选取两期Landsat8卫星影像数据,基于ENVI5.3、ArcGIS10.5遥感数据处理平台和数据分析及制图工具,利用生态环境质量遥感生态指数RSEI(Remote Sensing Based Ecological Index)模型估算方法,综合分析评价研究区2013~2017年间生态环境质量状况。研究表明:研究区两期RSEI指数均值分别为0.6949、0.7079;研究区生态环境质量2013~2017年间,以“一般”为主,处于“较差”和“差”的比重下降,处于“良”和“优”的比重增加,生态等级由低级向中高级转变,生态环境质量呈现变好的趋势;研究区生态环境不变的面积占比过半,生态环境变好面积大于变差面积,生态环境质量总体呈现较好的状态,研究结果可为今后黄土丘陵沟壑区生态环境建设提供科学依据和理论支撑。
This study takes the typical ditch construction area as the research object, selects two phases of Landsat8 satellite image data, and uses remote sensing ecological index RSEI (Remote Sensing Based Ecological Index) model estimation method, comprehensive analysis and evaluation of the ecological environment quality status in the study area from 2013 to 2017. The research shows that: the average values of the RSEI indexes in the two periods of the study area are 0.6949 and 0.7079 respectively; the ecological environment quality of the study area from 2013 to 2017 is mainly “general”, and the proportion of “poor” and “poor” decreases, and it is in “good”. The proportion of “excellent” and “excellent” increased, the ecological level changed from low-level to medium-high level, and the ecological environment quality showed a trend of improvement; the area of the study area with the same ecological environment accounted for more than half, and the area with better ecological environment was greater than the area with poor ecological environment. The overall quality is in a good state, and the research results can provide scientific basis and theoretical support for the construction of the ecological environment in the loess hilly gully area in the future.
[1] | Chen, Y.P., Wang, K.B., Lin, Y.S., Shi, W., Song, Y. and He, X. (2015) Balancing Green and Grain Trade. Nature Geosciences, 8, 739-741. https://doi.org/10.1038/ngeo2544 |
[2] | 陈怡平, 骆世明, 李凤民, 等. 对延安黄土沟壑区农业可持续发展的建议[J]. 地球环境学报, 2015, 6(5): 265-269. |
[3] | 李柏延, 任志远, 李瑞宗, 王昀琛. 西安市地表温度反演及城市热岛强度定量化研究[J]. 资源科学, 2014, 36(12): 2631-2636. |
[4] | Sullivan, C.A., Skeffington, M.S., Gormally, M.J. and Finn, J.A. (2010) The Ecological Status of Grasslands on Lowland Farmlands in Western Ireland and Implications for Grassland Classification and Nature Value Assessment. Biological Conservation, 143, 1529-1539. https://doi.org/10.1016/j.biocon.2010.03.035 |
[5] | 魏善蓉, 金晓媚, 王凯霖, 梁华. 基于遥感的柴达木盆地湖泊面积变化与气候响应分析[J]. 地学前缘, 2017, 24(5): 427-433. |
[6] | 彭擎, 王让会, 蒋烨林, 吴晓全. 植被-地温指数(NDVI-LST)在新疆干旱监测中的适用性[J]. 生态学报, 2018, 38(13): 4694-4703. |
[7] | 宋慧敏, 薛亮. 基于遥感生态指数模型的渭南市生态环境质量动态监测与分析[J]. 应用生态学报, 2016, 27(12): 3913-3919. |
[8] | Crist, E.P. (1985) A TM Tasseled Cap Equivalent Transformation for Reflectance Factor Data. Remote Sensing of Environment, 17, 301-306. https://doi.org/10.1016/0034-4257(85)90102-6 |
[9] | 姚雄, 余坤勇, 刘健, 等. 南方水土流失严重区的生态脆弱性时空演变[J]. 应用生态学报, 2016, 27(3): 735-745. |
[10] | Imhoff, M.L., Zhang, P., Wolfe, R.E. and Bounoua, L. (2010) Remote Sensing of the Urban Heat Island Effect across Biomes in the Continental USA. Remote Sensing of Environment, 114, 504-513.
https://doi.org/10.1016/j.rse.2009.10.008 |
[11] | 徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5): 889-897. |
[12] | 徐涵秋. 水土流失区生态变化的遥感评估[J]. 农业工程学报, 2013, 29(7): 91-97+294. |
[13] | 李粉玲, 常庆瑞, 申健, 刘京. 黄土高原沟壑区生态环境状况遥感动态监测——以陕西省富县为例[J]. 应用生态学报, 2015, 26(12): 3811-3817. |
[14] | 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. |
[15] | 徐涵秋, 张好. 海岛型城市扩展的生态效应分析——以厦门岛为例[J]. 地理科学, 2015, 35(7): 867-872. |
[16] | 林铎, 潘文斌. 莆田市城区生态环境评价研究[J]. 环境科学与管理, 2014, 39(9): 179-183. |
[17] | 刘智才, 徐涵秋, 李乐, 等. 基于遥感生态指数的杭州市城市生态变化[J]. 应用基础与工程科学学报, 2015, 23(4): 728-739. |
[18] | Chander, G., Markham, B.L. and Helder, D.L. (2009) Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+ and EO-1 ALI Sensors. Remote Sensing of Environment, 113, 893-899.
https://doi.org/10.1016/j.rse.2009.01.007 |