Abstract Johansen RA, Beck R, Stumpf R, Lekki J, Tokars R, Tolbert C, McGhan C, Black T, Ma O, Xu M, Liu H, Reif M, Emery E. 2019. HABSat-1: assessing the feasibility of using CubeSats for the detection of cyanobacterial harmful algal blooms in inland lakes and reservoirs. Lake Reserv. Manage. 35:193–207. The detection of cyanobacterial harmful algal blooms (CHABs) in freshwater lakes and reservoirs via satellite remote sensing remains a challenge. This is partially due to the spectral, spatial, and temporal configurations of most satellite imagers, which are designed for large terrestrial applications. This research evaluated the prelaunched performance of HABSat-1 for the detection of CHABs in inland waters. This study used the CASI hyperspectral airborne imager to mimic the potential configurations of the imager for HABSat-1. Synthetic HABSat-1 imagery was atmospherically corrected to reflectance, then used to evaluate the performance of 14 reflectance algorithms to estimate chlorophyll a (Chl-a), phycocyanin (PC), and the sum of pheophytin-corrected chlorophyll a and pheophytin a (SUMReCHL) concentrations. All algorithms use narrow spectral bands centered at 620 nm, 650 nm, 680 nm, and 708 nm, corresponding to important spectral reflectance features associated with CHABs. Eleven Chl-a and 10 PC algorithms performed well (r2 > 0.7), indicating the configuration of HABSat-1 is well suited to the detection of CHABs in cyanobacteria-dominated waterbodies. The highest performing algorithms were the CI324 algorithm (ρ(680) – ρ(650) – (ρ(708) – ρ(650)) with an r2 of 0.81, the 2B4D1 algorithm (ρ(650)/ρ(620)) with an r2 of 0.844, and the NDCI41 algorithm (ρ(708) – ρ(620))/(ρ(708) + ρ(620)) with an r2 of 0.755 for Chl-a, PC, and SUMReCHL. These promising results demonstrate that the use of relatively inexpensive customizable CubeSats coupled with simple reflectance-based algorithms is likely to be sufficient for the detection and estimation of CHABs in inland lakes and reservoirs.

中文翻译：

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HABSat-1：评估使用立方体卫星检测内陆湖泊和水库蓝藻有害藻华的可行性

摘要 Johansen RA、Beck R、Stumpf R、Lekki J、Tokars R、Tolbert C、McGhan C、Black T、Ma O、Xu M、Liu H、Reif M、Emery E. 2019. HABSat-1：评估可行性使用立方体卫星检测内陆湖泊和水库中有害的蓝藻藻华。湖泊保护区 管理。35:193-207。通过卫星遥感检测淡水湖泊和水库中的蓝藻有害藻华（CHAB）仍然是一个挑战。这部分是由于大多数卫星成像仪的光谱、空间和时间配置，它们是为大型地面应用而设计的。本研究评估了 HABSat-1 在内陆水域检测 CHAB 的发射前性能。本研究使用 CASI 高光谱机载成像仪来模拟 HABSat-1 成像仪的潜在配置。合成的 HABSat-1 图像经过大气校正到反射率，然后用于评估 14 种反射率算法的性能，以估计叶绿素 a (Chl-a)、藻蓝蛋白 (PC) 以及脱镁叶绿素校正的叶绿素 a 和脱镁叶绿素 a 的总和 (SUMReCHL) ) 浓度。所有算法都使用以 620 nm、650 nm、680 nm 和 708 nm 为中心的窄光谱带，对应于与 CHAB 相关的重要光谱反射特征。11 个 Chl-a 和 10 个 PC 算法表现良好（r2 > 0.7），表明 HABSat-1 的配置非常适合检测蓝藻占主导地位的水体中的 CHAB。性能最高的算法是 CI324 算法 (ρ(680) – ρ(650) – (ρ(708) – ρ(650))，r2 为 0.81，2B4D1 算法 (ρ(650)/ρ(620)) r2 为 0.844，和 NDCI41 算法 (ρ(708) – ρ(620))/(ρ(708) + ρ(620))，对于 Chl-a、PC 和 SUMReCHL，r2 为 0.755。这些有希望的结果表明，使用相对便宜的可定制立方体卫星加上简单的基于反射率的算法可能足以检测和估计内陆湖泊和水库中的 CHAB。