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首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Multi-Index Soil Moisture Estimation from Satellite Earth Observations: Comparative Evaluation of the Topographic Wetness Index (TWI), the Temperature Vegetation Dryness Index (TVDI) and the Improved TVDI (iTVDI)
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Multi-Index Soil Moisture Estimation from Satellite Earth Observations: Comparative Evaluation of the Topographic Wetness Index (TWI), the Temperature Vegetation Dryness Index (TVDI) and the Improved TVDI (iTVDI)

机译：卫星地球观测的多指数土壤水分估算：地形湿度指数（TWI）的比较评价，温度植被干燥指数（TVDI）和改进的TVDI（ITVDI）

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摘要

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.
机译：由于高度的时间分辨率，空间分辨率，覆盖率和加工便利，卫星地球观测的土壤水分估计有效地利用了它所有化的。在本文中，我们提出了一项研究，以估算尼古州尼日利亚的每个地点的土壤水分水平从卫星地球观察。对土壤水分估计多种指标进行了比较分析，以评估依据估算肠蟾水分水平空间分布的指标的鲁棒性，相关性，适当性和准确性。结果与来自多样品点的原位土壤水分观察结果相关并验证。为此，根据数字高级数据，温度植被干燥指数（TVDI）和包含空气温度和数字高度模型（DEM）的改进的TVDI（ITVDI）的地形湿度指数（TWI）由Aster Global DEM计算和Landsat图像。探讨了陆地覆盖类型，地形和降水上指数的可能依赖性。原位土壤湿度数据用于验证派生指数。结果表明，ITVDI与TVDI（r = 0.53，p值<0.05）之间存在正显着关系，而ITVDI与TWI（r = 0.00，p值> 0.05）和TVDI与TWI（r = -0.01）（r = -0.01） P值> 0.05）不存在显着关系。 ITVDI与地形，陆地覆盖类型和降水之间存在强有力的关系，而不是其他指数（TVDI，TWI）。原位测量的土壤湿度值显示出与TVDI（R = -0.52，P值<0.05）和ITVDI（R = -0.63，P值<0.05）的负显着关系，但不具有TWI（r = -0.10，p值> 0.05 ）。 ITVDI优于另外两个指数;与地形，降水，陆地覆盖课和土壤水分有更强烈的关系。结论是，尽管ITVDI在土壤水分估算中表现出其他指数（TVDI，TWI），但申请指数的决定取决于可用数据，使用率和空间尺度的意图。

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