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作 者:徐霞 王萍[1] 赵永俊[1] 王丽[1] 张晨旭 XU Xia;WANG Ping;ZHAO Yongjun;WANG Li;ZHANG Chenxu(Jiangsu Province Hydrology and Water Resources Investigation Bureau,Nanjing 210029,China)
机构地区:[1]江苏省水文水资源勘测局,江苏南京210029
出 处:《水利信息化》2023年第1期40-45,共6页Water Resources Informatization
摘 要:为给我国西部资源开发、生态保护及旱灾预警等领域提供科学依据,以神东矿区为研究区,探索矿区土壤湿度变化。根据2000-2018年的MODIS长时间序列遥感影像,提取归一化植被指数(NDVI)和地表温度(Ts),构建NDVI-Ts二维光谱特征空间,计算研究区的温度植被干旱指数,绘制矿区的地表土壤湿度等级分布图,从矿区尺度上给出地表土壤湿度的时空变化趋势,分析矿区的地形因子对地表土壤湿度的影响。结果表明:1)TVDI法能够较好地反演出矿区的土壤湿度;2)矿区土壤湿度呈现从西北部向东南部逐渐增加的趋势;3)高程、坡度和坡向3种地形因子在不同范围内,均对地表土壤湿度有着不同程度的影响。整体来看,2000-2018年,神东矿区土壤湿度有增有减,呈微弱上升的趋势,矿区环境得到改善。In order to provide scientific basis for resource development,ecological reservation and drought early warning in Western China,the Shendong mining area is taken as the research area to explore the soil moisture variations. According to the MODIS long-term remote sensing images from 2000 to 2018,this paper extracts the normalized vegetation index(NDVI) and surface temperature(Ts) to develop the NDVI-Ts two-dimensional spectral feature space,and to calculate the temperature vegetation drought index of the mining area. The distribution map of the surface soil moisture level in the mining area is drawn. The spatial-temporal variation trend of the surface soil moisture is given based on the mining area scale,and the influence of the topographic factors on the surface soil moisture is analyzed. The results show that:1) The TVDI method can better invert the soil moisture in the mining area;2) The soil moisture in the mining area has gradually increased from the northwest to the southeast;3) Elevation,slope and aspect have different effects on surface soil moisture in different ranges. In general,from 2000to 2018,the soil moisture in the Shendong mining area varied over time,showing a slightly increasing trend,and the environment of the mining area was improved.
关 键 词:土壤湿度 反演 TVDI 地形因子 影响分析 矿区 遥感影像
分 类 号:S152.7[农业科学—土壤学] P237[农业科学—农业基础科学]
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