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The Standardized Vegetation Optical Depth Index SVODI

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Zenodo2023-09-29 更新2026-05-25 收录
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<strong>Related paper with detailed description: </strong>https://doi.org/10.5194/bg-19-5107-2022 <strong>Short summary:</strong> The Standardized Vegetation Optical Depth index (SVODI) can be used to monitor the vegetation condition, such as whether the vegetation is unusually dry or wet. SVODI has global coverage and spans the past three decades and is derived from multiple space-borne passive microwave sensors of that period. SVODI is based on a new probabilistic merging method that allows the merging of normally distributed data, even if the data is not gap-free. <strong>Files: </strong> "SVODI_v01.zip" Contains the bulk SVODI data, globally, from 1987-07-10 to 2019-12-31. Files are daily global netcdf images, with a 0.25 degree spatial resolution. Is unzipped roughly the same size. "svodi_v01_0_2006-06-26.nc" An arbitrary file from SVODI_V01.zip. For your convenience in case you want to see an example first without downloading the whole thing. "ESA-CCI-SOILMOISTURE-LAND_AND_RAINFOREST_MASK-fv04.2.nc" Grid of SVODI, Source: https://github.com/TUW-GEO/smecv-grid <strong>Data fields:</strong> "svodi" The standardized vegetation optical depth index unitless range: -inf, inf "flag" Bit-flag indicating which &lt;sensor&gt;-&lt;band&gt; combination contributed to each observation 1: AMSRE-C 2: AMSR2-C 3: WindSat-C 4: AMSRE-X 5: AMSR2-X 6: WindSat-X 7: TMI-X 8: AMSRE-Ku 9: AMSR2-Ku 10: WindSat-Ku 11: TMI-Ku 12: SSMI-Ku

**附有详细说明的相关论文:** https://doi.org/10.5194/bg-19-5107-2022 **简要概述:** 标准化植被光学深度指数(Standardized Vegetation Optical Depth, SVODI)可用于监测植被状况,例如植被是否出现异常干旱或湿润情况。该指数具备全球覆盖范围,时间跨度可达近三十年,数据源自同期多颗星载被动微波传感器。SVODI基于一种全新的概率融合方法,即便数据存在缺失间隙,也可完成正态分布数据的融合处理。**数据集文件:** "SVODI_v01.zip":包含1987年7月10日至2019年12月31日的全球批量SVODI数据,文件为每日全球NetCDF格式影像,空间分辨率为0.25度,解压后体积与压缩包大致相当。"svodi_v01_0_2006-06-26.nc":取自"SVODI_v01.zip"的示例文件,方便您无需下载完整压缩包即可查看数据样例。"ESA-CCI-SOILMOISTURE-LAND_AND_RAINFOREST_MASK-fv04.2.nc":SVODI的格网数据,来源:https://github.com/TUW-GEO/smecv-grid **数据字段:** "svodi":标准化植被光学深度指数,无单位,取值范围为(-∞, +∞)。"flag":位标记字段,用于标识每条观测数据所采用的传感器-波段组合,对应关系如下:1: AMSRE-C;2: AMSR2-C;3: WindSat-C;4: AMSRE-X;5: AMSR2-X;6: WindSat-X;7: TMI-X;8: AMSRE-Ku;9: AMSR2-Ku;10: WindSat-Ku;11: TMI-Ku;12: SSMI-Ku

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2022-10-24
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