干旱区生态环境知识资源中心(Arid): 含植被覆盖影响的石羊河流域土壤水分遥感估算及空间格局分析

Arid

	含植被覆盖影响的石羊河流域土壤水分遥感估算及空间格局分析
其他题名	The remote sensing estimation and spatial pattern analysis of soil moisture in the Shiyang River Basin in consideration of vegetation cover affect
	杨志辉; 赵军; 朱国锋; 刘家良; 郭文镈; 黄治化; 王炎强
来源期刊	生态学报
ISSN	1000-0933
出版年	2020
卷号	40 期号:23
中文摘要	土壤水分是地表和大气循环的纽带,对植被生长和高效农业灌溉起着关键作用。以石羊河流域为研究区,采用植被覆盖度/表面反照率梯形特征空间散点图计算裸土反照率,减少植被对遥感获取土壤水分误差,以提高遥感土壤水分估算精度。同时通过稳定性、空间自相关和地理探测器等分析了SM的空间格局及其影响因素。结果表明: (1)裸土反照率模型在石羊河流域的SM反演精度较高,为流域尺度的SM计算提供了新的方法思考。(2) SM具有明显的空间自相关性,Moran's值为0.88(Zscore = 1852.94,P <0.01),上游林地高-高聚集,下游荒漠低-低聚集,且SM与FVC显著相关(P <0.01) 。(3)石羊河流域年内SM稳定性整体良好,其中稳定性好和较好区域占研究区88.34%。(4) SM空间分布受多因子影响,各因子解释能力存在显著差异,其中植被覆盖度>土壤类型>高程>土地利用,且因子间交互作用增强了对SM空间分异的解释力。( 5)不同土地利用类型的SM差异较大,其中未利用地大部分SM小于7%;草地和耕地SM居于中等水平,SM值为7%15%;林地水平最高,SM值大于25 %。
英文摘要	Soil moisture is the link between the surface and atmospheric circulation. It is an important part of hydrological cycle and water-heat balance. And it plays a key role in vegetation growth and efficiently agricultural irrigation. Therefore, accurate and fast soil moisture remote sensing inversion results are importantly basic data for agricultural production and ecological environment protection. The MODIS-MYD09A1 data with a spatial resolution of 500 meters and a temporal resolution of 8 days was used to calculate the surface albedo. The MODIS -MYD13A1 NDVI product data with a spatial resolution of 250 meters and a temporal resolution of 16 days was used to calculate vegetation coverage. In order to improve the estimation accuracy of the remote sensing soil moisture in the Shiyang River Basin,bare soil albedo was calculated by using vegetation coverage and surface albedo trapezoidal characteristics space scatter plot,this is to reduce the error of vegetation on soil moisture in remote sensing. The measured data was used to evaluate the accuracy of the inversion model. The inversion results of the bare soil albedo model were used to grade and map. At the same time,the spatial pattern of SM and its influencing factors were analyzed through stability analysis,spatial autocorrelation analysis and geographic detectors. The results show that: (1) The bare soil albedo model could yield more accurate soil moisture inversion accuracy in the Shiyang River Basin,which provided a new method for the SM calculation at the watershed scale. (2) Soil moisture had obviously spatial autocorrelation,Moran's value was 0.88 (Z-score = 1852.94,P <0.01). Forest land in the upstream was high-high aggregation. Desert in the downstream was low-low aggregation. Soil moisture was significantly correlated with fractional vegetation coverage (P <0.01). (3) The annual overall stability of the soil moisture in the Shiyang River Basin being good,good stability and better stability area accounted for 88.34% of the study area. (4) The spatial distribution of soil moisture was affected by multifactor. And the explanatory ability of each factor was significantly different. Among these factors,vegetation coverage had the best interpretive ability. Soil type was in the second place. Elevation was in the third place and land use was at the end. The interaction between factors enhanced the explanatory ability of the spatial differentiation of soil moisture. (5) The soil moisture of different land use types was quite different. Among them,the soil moisture of most unused land was less than 7%; the soil moisture of grassland and cultivated land was at medium level, with soil moisture value of 7%15%; the soil moisture level of woodland was the highest,and soil moisture value more than 25%.
中文关键词	地理探测器 ; 石羊河流域 ; 土壤水分 ; 梯形特征空间 ; 空间自相关
英文关键词	geodetector Shiyang River Basin soil moisture trapezoid feature space spatial autocorrelation
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Environmental Sciences & Ecology
CSCD记录号	CSCD:6867936
来源机构	西北师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353791
作者单位	杨志辉, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 赵军, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 刘家良, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 郭文镈, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 黄治化, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 王炎强, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国. 朱国锋, 西北师范大学地理与环境科学学院;;中国科学院西北生态环境资源研究院, ;;冰冻圈科学国家重点实验室, 兰州;;兰州, ;; 730070;;730000.
推荐引用方式 GB/T 7714	杨志辉,赵军,朱国锋,等. 含植被覆盖影响的石羊河流域土壤水分遥感估算及空间格局分析[J]. 西北师范大学,2020,40(23).
APA	杨志辉.,赵军.,朱国锋.,刘家良.,郭文镈.,...&王炎强.(2020).含植被覆盖影响的石羊河流域土壤水分遥感估算及空间格局分析.生态学报,40(23).
MLA	杨志辉,et al."含植被覆盖影响的石羊河流域土壤水分遥感估算及空间格局分析".生态学报 40.23(2020).