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1.
Ikechukwu Nnamdi Maduako Raphael Ike Ndukwu Caleb Ifeanyichukwu Onyedika Igbokwe 《Journal of the Indian Society of Remote Sensing》2017,45(4):631-642
Soil moisture estimation from satellite earth observation has emerged effectively advantageous due to the high temporal resolution, spatial resolution, coverage, and processing convenience it affords. In this paper, we present a study carried out to estimate soil moisture level at every location within Enugu State Nigeria from satellite earth observation. Comparative analysis of multiple indices for soil moisture estimation was carried out with a view to evaluating the robustness, correlation, appropriateness and accuracy of the indices in estimating the spatial distribution of soil moisture level in Enugu State. Results were correlated and validated with In-Situ soil moisture observations from multi-sample points. To achieve this, the Topographic Wetness Index (TWI), based on digital elevation data, the Temperature Vegetation Dryness Index (TVDI) and an improved TVDI (iTVDI) incorporating air temperature and a Digital Elevation Model (DEM) were calculated from ASTER global DEM and Landsat images. Possible dependencies of the indices on land cover type, topography, and precipitation were explored. In-Situ soil moisture data were used to validate the derived indices. The results showed that there was a positive significant relationship between iTVDI versus TVDI (R = 0.53, P value < 0.05), while in iTVDI versus TWI (R = 0.00, P value > 0.05) and TVDI versus TWI (R = ?0.01, P value > 0.05) no significant relationship existed. There was a strong relationship between iTVDI and topography, land cover type, and precipitation than other indices (TVDI, TWI). In situ measured soil moisture values showed negative significant relationship with TVDI (R = ?0.52, P value < 0.05) and iTVDI (R = ?0.63, P value < 0.05) but not with TWI (R = ?0.10, P value > 0.05). The iTVDI outperformed the other two index; having a stronger relationship with topography, precipitation, land cover classes and soil moisture. It concludes that although iTVDI outperformed other indices (TVDI, TWI) in soil moisture estimation, the decision of which index to apply is dependent on available data, the intent of usage and spatial scale. 相似文献
2.
Satellite rainfall products for landslide early warning prediction have been spotlighted by several researchers, in the last couple of decades. This study investigates the use of TRMM and ERA-Interim data, for the determination of rainfall thresholds and the prediction of precipitation, respectively, to be used for landslide early warning purposes at the Bogowonto catchment, Central Java, Indonesia. A landslide inventory of 218 landslides for the period of 2003–2016 was compiled, and rainfall data were retrieved for the landslide locations, as given by 6 ground stations, TRMM, and ERA-Interim data. First, rainfall data from the three different sources was compared in terms of correlation and extreme precipitation indices. Second, a procedure for the calculation of rainfall thresholds for landslide occurrence was followed consisting of four steps: i) the TRMM-based rainfall data was reconstructed for selected dates and locations characterized by landslide occurrence and non-occurrence; ii) the antecedent daily rainfall was calculated for 3, 5, 10, 15, 20 and 30 days for the selected dates and locations; iii) two-parameter daily rainfall-antecedent rainfall thresholds were calculated for the aforementioned dates; after analysis of the curves the optimum number of antecedent rainfall days was selected; and (iv) empirical rainfall thresholds for landslide occurrence were determined. The procedure was repeated for the entire landslide dataset, differentiating between forested and built-up areas, and between landslide occurrence in four temporal periods, in relation to the monsoon. The results indicated that TRMM performs well for the detection of very heavy precipitation and can be used to indicate the extreme rainfall events that trigger landslides. On the contrary, as ERA-Interim failed to detect those events, its applicability for LEWS remains limited. The 15-day antecedent rainfall was indicated to mostly affect the landslide occurrence in the area. The rainfall thresholds vary for forested and built-up areas, as well as for the beginning, middle and end of the rainy season. 相似文献
3.
《地理信息系统科学与遥感》2013,50(1):109-129
This study examined the use of remote sensing in detecting and assessing drought in Iloilo Province, Philippines. A remote sensing-based soil moisture index (SMI), rainfall anomaly data from the Tropical Rainfall Measuring Mission (TRMM), and rice production departure (Pd ) data were used for drought detection and validation. The study was conducted using two drought years (2001, 2005) and one non-drought year (2002). According to SMI data, the drought distribution was classified into four major groups. SMI values > 0.3 were considered not to be drought and SMI values ≤ 0.3 were classified as slight, moderate, and severe drought. Results based on SMI revealed that the study area experienced drought in 2001 and 2005, while 2002 exhibited no drought. On the other hand, TRMM-based rainfall anomaly data revealed negative values in 2001 and 2005 and positive values in 2002. Below-normal Pd values were observed in 2005 and above-normal values in 2002, whereas nearly normal values prevailed in 2001. Yield indicator data were crucial for the assessment of drought impacts on rice production. In most cases, the pattern of rice production and productivity revealed that the decline in the production or productivity of rice for a particular year coincided with lower SMI values and greater rainfall departure or negative anomaly. 相似文献
4.
针对遥感反演土壤湿度空间相关的误差协方差难以估计的问题,提出了一种遥感反演数据误差空间协方差估算方法——3类数据集成分析误差协方差（triple collocation covariance,TC_Cov）,将土壤湿度场的每个单元（像元）看作一个空间随机变量,用两个随机变量表示的土壤湿度值的时间序列作为样本进行空间协方差估计,由任何两个随机变量的协方差形成多个随机变量（随机场）的协方差矩阵。利用先进散射计（ad-vanced scatterometer,ASCAT）和热带降雨测量卫星（tropical rainfall measuring mission,TRMM）的遥感土壤湿度数据以及ERA-Interim土壤湿度再分析数据作为TC_Cov方法的输入数据,分别估算了ERA-Interim、AS-CAT和TRMM在澳大利亚Murrumbidgee流域的土壤湿度误差协方差矩阵,验证了估算方法的合理性和可行性。 相似文献
5.
Groundwater exploration and modelling requires hydrological parameters and a large volume of hydrologic database. This study integrates remote sensing and geographic information system (GIS) to map and classify hydrological parameters indicates areas of groundwater recharge and discharge. Bivariate quadratic surfaces with moving window size of 5 × 5 were fitted to the digital elevation model and drainage basins, drainage network, topographic wetness index (TWI) and hydroforms were derived. The eight-direction algorithm (D8) that determines in which neighbouring pixel any water in a central pixel will flow naturally was used to delineate drainage basin and drainage network in the study area. The TWI was used to quantify the effect of local topography on hydrological processes and for modelling soil moisture. The results indicate the presence of intensive of stream network (1336 km2), wettest zones and accumulation zones (63.99 km2) within Wadi Bih, the UAE and Wadi Khasb, Oman, suggesting regional recharge. 相似文献
6.
目前区域降雨型滑坡预测主要依赖降雨阈值开展,然而从降雨诱发滑坡机理可知,除降雨入渗导致的土壤含水量变化外,降雨入渗前的土壤含水量也是影响边坡失稳的重要因素,无法考虑降雨入渗前的土壤湿度情况,被认为是降雨阈值在滑坡预测中表现差的主要原因。针对这一问题,本文以四川省都江堰地区作为试验区域,提出考虑前期土壤湿度的区域降雨型滑坡预测思路,通过统计分析历史滑坡数据,构建了基于前期土壤湿度和近期降雨情况的水文-气象阈值模型,其中前期土壤湿度情况由改进的前期有效降雨指数刻画,近期降雨情况由最近的累积降雨量表示。试验结果表明:在试验区域的降雨型滑坡预测中,水文-气象阈值模型表现出较好的命中率和较低的误报率。本文构建的水文-气象阈值模型,可同时考虑前期土壤湿度和近期降雨对滑坡发生的影响,模型所需数据少、所用方法简单易操作且预测性能较优,适合在区域降雨型滑坡预测中推广应用。 相似文献
7.
K. N. Rao K. Narendra P. S. Latha 《Journal of the Indian Society of Remote Sensing》2010,38(2):255-267
Runoff is one of the important hydrologic variables used in most of the water resources applications. The Soil Conservation
Service-Curve Number (SCS-CN) method is adopted for the estimation of surface runoff in the Mehadrigedda watershed area, Visakhapatnam
district, India using multispectral remote sensing data, curve number approach and normal rainfall data. The main source of
water in the Mehadrigedda watershed area is by rain, most of it drains off and only a little percolates into ground. The weighted
curve number is determined based on antecedent moisture condition (AMC)-II with an integration of hydrologic soil groups (HSGs)
and land use/land cover LULC categories. An integrated approach is applied to delineate the land use/land cover information
as adopted from NRSA classification. The recording of daily rainfall data during the years 1997–2006 is collected from Indian
Meteorological Department (IMD) rainguage center at Kottavalasa. It is observed that the annual rainfall-runoff relationship
during 1997–2006, which is indicating that the overall increase in runoff with the rainfall of the watershed area. Integration
of remote sensing (RS) and geographical infomation system (GIS) techniques provide reliable, accurate and up-to-date information
on land and water resources. 相似文献
8.
采用了一种偏振方法来测量土壤湿度,并改进了一种粗糙表面的偏振反射模型。利用该模型对土壤湿度的偏振特性进行了分析与实验,发现该模型模拟数据与实验数据之间存在很强的相关性,进而可以建立该模型中的某些参数与土壤湿度的定量关系,为定量反演土壤湿度提供新的途径。 相似文献
9.
利用TRMM／TMI资料提取地表层湿度信息试验 总被引：1，自引：0，他引：1
模拟分析了地表层湿度反演过程中地表及大气各种因素(卫星扫描角、地表粗糙度、地表植被覆盖和大气)对反演结果的影响情况;应用正演模拟技术得到了利用TMI低频10GHz通道微波极化比反演地表层湿度信息时,斜率和截距随像元植被覆盖度可调的反演方程;确定了反演方程中斜率、截距系数随像元植被覆盖度变化的对数关系和线性关系;反演技术中综合应用了多种途径获取到的被动微波像元中动态的植被覆盖信息;尝试了将这些因子用于地表层湿度反演的可行性;对于反演结果,研究工作中利用地表HUBEX外场观测资料进行了对比分析,得到了空间分布特征和时间演变趋势比较一致的对比分析结果。 相似文献
10.
《地理信息系统科学与遥感》2013,50(4):522-540
Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to in situ measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to in situ soil moisture values. A significant statistical correlation (R 2 value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree. 相似文献
11.
基于DEM的遥感数据复原方法研究 总被引：1，自引：0，他引：1
介绍了一种基于数字高程模型（DEM）的遥感数据复原新方法。此方法将地形因子作为最主要的作用因子，不考虑卫星传感过程中的随机影响。首先，根据基础地理数据，按其等高线层生成DEM； 然后，利用DEM，通过实测样点、DEM和经过纠正的遥感数据的信息融合，进行遥感数据中像元样点的坡度、坡向分析，建立DEM与遥感信息的相关关系模型，以数学统计方法描述地形因子对遥感数据的作用机理； 最后，进行逐像元的遥感信息复原(归一化)。结果表明，该方法具有较好的信息复原效果，可消除或减少地形对遥感数据的影响，增强遥感技术在山区复杂地形下的实用性。 相似文献
12.
利用AMSR2和MODIS数据的土壤冻融相变水量降尺度方法 总被引：1，自引：0，他引：1
本文基于站点实测土壤温度和土壤湿度数据分析,发现温度指数TI(Temperature Index)和土壤冻融相变水量呈现幂函数关系,温度指数能够反映相变水量的变化。使用MODIS地表温度产品计算温度指数,在AMSR2卫星观测尺度上与相变水量建立了关系,从而对土壤冻融相变水量进行了降尺度研究。采用CTP-SMTMN数据采集仪观测网络上的站点观测到土壤水分对土壤冻融相变水量降尺度结果进行了验证。结果表明,土壤冻融相变水量降尺度结果与实测值较为接近,在土壤相变水量大于0.01(m3/m3)时,RMSE为0.0085(m3/m3),MAE为0.0059(m3/m3)。这种通过温度指数对土壤相变水量进行降尺度的方法具有简便,可行,可靠的优势,适合在冻融交替期计算较湿润土壤在冻融过程中产生的相变水量。同时,这种降尺度方法能够生成小尺度上的相变水量产品,实现了热红外遥感和被动微波遥感的优势整合,对研究地气水热平衡,气候变化,土壤冻结强度以及冻融侵蚀强度等具有重要意义。 相似文献
13.
《Geoscience and Remote Sensing Letters, IEEE》2009,6(4):623-624
The 52 papers in this special issue make use of airborne and/or ground data to deal with questions such as: 1) the estimation of effective soil temperature and vegetation water content from remote sensing data; 2) the impact of physical parameters such as soil texture, topography, vegetation type. and surface roughness on surface soil moisture retrieval; 3) the transferability of current retrieval equations across scales ranging from tens of kilometers; and 4) issues related to downscaling of low-resolution passive-microwave observations of surface soil moisture. 相似文献
14.
Integrating terrain and vegetation indices for identifying potential soil erosion risk area 总被引：1，自引：0，他引：1
Arabinda Sharma 《地球空间信息科学学报》2010,13(3):201-209
The present paper offers an innovative method to monitor the change in soil erosion potential by integrating terrain and vegetation
indices derived from remote sensing data. Three terrain indices namely, topographic wetness index (TWI), stream power index
(SPI) and slope length factor (LS), were derived from the digital elevation model. Normalized vegetation index (NDVI) was
derived for the year 1988 and 2004 using remote sensing images. K-mean clustering was performed on staked indices to categorize the study area into four soil erosion potential classes. The
validation of derived erosion potential map using USLE model showed a good agreement. Results indicated that there was a significant
change in the erosion potential of the watershed and a gradual shifting of lower erosion potential class to next higher erosion
potential class over the study period. 相似文献
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以徐州市为例,以TM影像为主要信息源,利用ERDAS IMAGINE遥感图像处理软件,将1987年,1995年及2000年徐州市的遥感图像进行一系列的校正与降噪处理,SAVI植被指数的提取,波段的合成与非监督分类,最后与降雨数据相结合,对徐州市的土壤水分与降雨的时空相关性进行分析。这种土壤水分与降雨的时空相关性分析,可以通过降雨数据,预测一段时期内的土壤中水分的变化,有利于对城市小气候的变化、泥石流灾害的预测,也有利于城市的生态建设。 相似文献
18.
被动微波遥感反演土壤水分对应的土壤深度是土壤水分产品真实性检验和应用中必须确定的问题。本研究利用理论模型对影响土壤热采样深度的参数进行了分析。在此基础上,通过回归分析的方法发展了一个估算被动微波遥感土壤热采样深度的统计模型,并通过微波辐射测量实验对模型进行了验证。研究证明,理论模型模拟裸露地表发射率平均误差为0.032,基于理论模型发展的热采样深度统计模型的误差在0.5 cm左右。该统计模型可以通过土壤含水量、温度、质地和观测频率4个较容易获取的参数计算土壤微波辐射的热采样深度,为被动微波遥感土壤水分产品的真实性检验工作中地面土壤水分测量以及土壤水分遥感产品的应用提供参考。 相似文献
19.
Availability of reliable, timely and accurate rainfall data is constraining the establishment of flood forecasting and early warning systems in many parts of Africa. We evaluated the potential of satellite and weather forecast data as input to a parsimonious flood forecasting model to provide information for flood early warning in the central part of Nigeria. We calibrated the HEC-HMS rainfall-runoff model using rainfall data from post real time Tropical Rainfall Measuring Mission (TRMM) Multi satellite Precipitation Analysis product (TMPA). Real time TMPA satellite rainfall estimates and European Centre for Medium-Range Weather Forecasts (ECMWF) rainfall products were tested for flood forecasting. The implication of removing the systematic errors of the satellite rainfall estimates (SREs) was explored. Performance of the rainfall-runoff model was assessed using visual inspection of simulated and observed hydrographs and a set of performance indicators. The forecast skill was assessed for 1–6 days lead time using categorical verification statistics such as Probability Of Detection (POD), Frequency Of Hit (FOH) and Frequency Of Miss (FOM). The model performance satisfactorily reproduced the pattern and volume of the observed stream flow hydrograph of Benue River. Overall, our results show that SREs and rainfall forecasts from weather models have great potential to serve as model inputs for real-time flood forecasting in data scarce areas. For these data to receive application in African transboundary basins, we suggest (i) removing their systematic error to further improve flood forecast skill; (ii) improving rainfall forecasts; and (iii) improving data sharing between riparian countries. 相似文献