Delta-X: AVIRIS-NG L3-derived Water Quality, TSS, and Turbidity, MRD, V3

This dataset includes estimates of total suspended solids (TSS) concentration and turbidity for waters of the Atchafalaya River and Terrebonne Basins of the Mississippi River Delta (MRD) in coastal Louisiana. Estimates were derived from Level 2 (L2) BRDF-corrected imagery from NASA's Next Generation Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG). AVIRIS-NG imagery was collected from March 27-April 6 (spring) and August 20-25 (fall), 2021, as part of the 2021 Delta-X campaign. Algorithms for TSS and turbidity estimation were developed using in-situ remote-sensing reflectance measured at field sampling stations paired with in-situ measures of turbidity from a water quality probe and TSS from water samples. Using the in-situ data, a partial least squares regression (PLSR) model was developed for each AVIRIS-NG wavelength. A subset of the in-situ data, collected during relatively clear AVIRIS-NG overflights, was held out to validate the PLSR model. The PLSR algorithm was then applied to AVIRIS-NG imagery to retrieve TSS and turbidity across the study area. The measurement units for TSS and turbidity estimates are mg L-1 and Formazin Nephelometric Units (FNU), respectively, and the spatial resolution is 3.8 to 5.4 m as determined by the AVIRIS-NG imagery. The dataset includes binary cloud and water masks. These data quantify the mesoscale (i.e., on the order of 1 ha) patterns of soil accretion that control land loss and gain and predict the resilience of deltaic floodplains under projected relative sea-level rise. Gridded estimates are provided in netCDF format, and regression coefficients are included in a comma-separated values (CSV) file. This is Version 3 of this dataset. All previously released data were updated to the latest available versions.

本数据集涵盖了路易斯安那州沿海阿查法拉亚河和特雷博恩盆地（密西西比河三角洲，简称MRD）水域的总悬浮固体（TSS）浓度和浊度估算。估算数据源自美国宇航局下一代机载可见光红外成像光谱仪（AVIRIS-NG）的二级（L2）双向反射分布函数（BRDF）校正影像。AVIRIS-NG影像于2021年3月27日至4月6日（春季）和8月20日至25日（秋季）采集，作为2021年Delta-X项目的组成部分。利用现场采样站测量的原位遥感反射率和来自水质探头的水质浊度及水样中的TSS，开发了TSS和浊度估算的算法。利用原位数据，针对每个AVIRIS-NG波长，构建了偏最小二乘回归（PLSR）模型。在相对清晰的AVIRIS-NG航飞期间收集的原位数据子集被保留以验证PLSR模型。随后，将PLSR算法应用于AVIRIS-NG影像，以在研究区域内提取TSS和浊度。TSS和浊度估算的测量单位分别为mg L-1和Formazin nephelometric units（FNU），空间分辨率为3.8至5.4米，由AVIRIS-NG影像确定。数据集包括二值云和水掩膜。这些数据量化了中尺度（即约1公顷）土壤淤积模式，这些模式控制着土地的增减，并预测了三角洲平原在预期相对海平面上升下的恢复力。网格化估算数据以netCDF格式提供，回归系数包含在逗号分隔值（CSV）文件中。这是本数据集的第三版，所有先前发布的数据均已更新至最新版本。