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Remote Sensing of Chlorophyll-A in Case II Waters: A Novel Approach With Improved Accuracy Over Widely Implemented Turbid Water Indices

机译：叶绿素-A在案例II水中的遥感：一种新的方法，提高了广泛实施的混浊水指数精度

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Harilal B. Menon; Arjun Adhikari;
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1. Remote Sensing of Chlorophyll-A in Case II Waters: A Novel Approach With Improved Accuracy Over Widely Implemented Turbid Water Indices [J] . Menon Harilal B., Adhikari Arjun Journal of Geophysical Research, C. Oceans: JGR . 2018,第11期

机译：叶绿素II中叶绿素-A的遥感：一种新的方法，提高了广泛实施的混浊水指数精度
2. Improved atmospheric correction and chlorophyll-a remote sensing models for turbid waters in a dusty environment [J] . Al Shehhi Maryam R., Gherboudj Imen, Zhao Jun, ISPRS Journal of Photogrammetry and Remote Sensing . 2017,第nova期

机译：改进的大气校正和叶绿素-多尘环境中浑浊水域的遥感模型
3. Space-time chlorophyll-a retrieval in optically complex waters that accounts for remote sensing and modeling uncertainties and improves remote estimation accuracy [J] . He Junyu, Chen Yijun, Wu Jiaping, Water Research . 2020,第Mara15期

机译：光学复杂水域中的时空叶绿素a检索可解决遥感和建模不确定性问题，并提高远程估计的准确性
4. Precision improvement of Chlorophyll-a remote sensing inversion by data transformation in turbidity water under low concentration - a case of Taihu Lake, China [C] . WEI Yuchun, Cheng Chunmei, Wanglei, Remote sensing of the coastal ocean, land, and atmosphere environment . 2010

机译：低浓度浊度水中数据的叶绿素a遥感反演精度改进-以太湖为例
5. Satellite-based estimation of chlorophyll-a concentration in turbid productive waters. [D] . Moses, Wesley Jeremiah. 2009

机译：基于卫星的浊度生产水中叶绿素a浓度的估算。
6. Temporal Variation of Chlorophyll-a Concentrations in Highly Dynamic Waters from Unattended Sensors and Remote Sensing Observations [O] . Jian Li, Liqiao Tian, Qingjun Song, 2018

机译：来自无人值守传感器和遥感观测的高动态水域中叶绿素a浓度的时间变化
7. MOD2SEA: A Coupled Atmosphere-Hydro-Optical Model for the Retrieval of Chlorophyll-a from Remote Sensing Observations in Complex Turbid Waters [O] . Behnaz Arabi, Mhd. Suhyb Salama, Marcel Robert Wernand, 2016

机译：mOD2sEa：一种耦合大气 - 水 - 光学模型，用于从复杂浑浊水域遥感观测中检索叶绿素a
8. Enhanced Satellite Remote Sensing of Coastal Waters Using Spatially Improved Bio-Optical Products from SNPP-VIIRS. [R] . Vandermeulen, R. A., Arnone, R., Ladner, S., 2015

机译：利用sNpp-VIIRs的空间改进生物光学产品增强对沿海水域的卫星遥感。

Remote Sensing of Chlorophyll-A in Case II Waters: A Novel Approach With Improved Accuracy Over Widely Implemented Turbid Water Indices

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