Synergistic detection of chlorophyll-a concentration vertical profile by spaceborne lidar ICESat-2 and passive optical observations
Authors:
- Xuechun ZhangXZXuechun Zhang
- Yi MaYMYi Ma
- Zhongwei LiZLZhongwei Li
- Jingyu ZhangJZJingyu Zhang
Open Access
- 15 July 2024
- journal article
- research article
- Published by Elsevier in International Journal of Applied Earth Observation and Geoinformation
- Vol. 132
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2023YFC3107604)
- National University's Basic Research Foundation of China (23CX04034A)
- Taishan Scholar Foundation of Shandong Province (ts20190963)
- China University of Petroleum, Beijing
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China (41906158)
- National Natural Science Foundation of China (51839002)
- National Natural Science Foundation of China (61890964)
- National Aeronautics and Space Administration
- European Space Agency
- Taishan Scholar Project of Shandong Province
This publication has 49 references indexed in Scilit:
- Antarctic spring ice-edge blooms observed from space by ICESat-2Remote Sensing of Environment, 2020
- Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6Remote Sensing of Environment, 2019
- An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensingProgress in Oceanography, 2018
- Requirement of minimal signal‐to‐noise ratios of ocean color sensors and uncertainties of ocean color productsJournal of Geophysical Research: Oceans, 2017
- The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementationRemote Sensing of Environment, 2017
- Ocean subsurface studies with the CALIPSO spaceborne lidarJournal of Geophysical Research: Oceans, 2014
- Space‐based lidar measurements of global ocean carbon stocksGeophysical Research Letters, 2013
- Review of constituent retrieval in optically deep and complex waters from satellite imageryRemote Sensing of Environment, 2012
- Spatial coherence between remotely sensed ocean color data and vertical distribution of lidar backscattering in coastal stratified watersRemote Sensing of Environment, 2010
- Examining the consistency of products derived from various ocean color sensors in open ocean (Case 1) waters in the perspective of a multi-sensor approachRemote Sensing of Environment, 2007