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Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data

机译:植被干旱mODIs NDVI和NDWI评价 使用俄克拉荷马州mesonet土壤水分数据监测

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摘要

The evaluation of the relationship between satellitederived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive soil moisture network of the Oklahoma Mesonet, and satellitederived indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) provided an opportunity to study correlations between soil moisture and vegetation indices over the 2002–2006 growing seasons. Results showed that the correlation between both indices and the fractional water index (FWI) was highly dependent on land cover heterogeneity and soil type. Sites surrounded by relatively homogeneous vegetation cover with silt loam soils had the highest correlation between the FWI and both vegetation-related indices (r~0.73), while sites with heterogeneous vegetation cover and loam soils had the lowest correlation (r~0.22).
机译:评估卫星衍生的植被指数(归一化植被指数和归一化水分指数)与土壤水分之间的关​​系有助于我们更好地理解这些指数如何响应土壤水分波动。土壤水分不足最终与植物的干旱胁迫有关。俄克拉荷马州的多样地形和气候,俄克拉荷马州Mesonet广泛的土壤水分网络以及中分辨率成像光谱仪(MODIS)的卫星衍生指数为研究2002-2006生长季节土壤水分与植被指数之间的相关性提供了机会。结果表明,这两个指数与分数水分指数(FWI)之间的相关性高度依赖于土地覆盖的异质性和土壤类型。相对较均匀的植被覆盖度与粉壤土土壤包围的站点与植被指数之间的相关性最高(r〜0.73),而植被覆盖度与壤质土壤的异质性相关性最低的地区(r〜0.22)。

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