Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models-Reference-Cited by-同舟云学术

Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models

Published:2024-01-16 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Lowell Kim¹^ORCID,Rzhanov Yuri¹^ORCID

Affiliation:

1. Center for Coastal and Ocean Mapping, University of New Hampshire, 24 Colovos Rd, Durham, NH, USA

Funder

NOAA Research

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2297549

Reference33 articles.

1. Local Indicators of Spatial Association-LISA

2. Anselin, L. 1996. “The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association.” In Spatial Analytical Perspectives on GIS, edited by M. Fischer, H. Scholten, and D. Unwin, 111–125. London: Taylor & Francis.

3. A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data

4. Atmospheric correction for satellite-derived bathymetry in the Caribbean waters: from a single image to multi-temporal approaches using Sentinel-2A/B

5. Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MuSRFM: Multiple scale resolution fusion based precise and robust satellite derived bathymetry model for island nearshore shallow water regions using sentinel-2 multi-spectral imagery;ISPRS Journal of Photogrammetry and Remote Sensing;2024-12

2. The Integration of Bird Swarm Algorithm and Segmental Ensemble a Novel Intelligent Approach for Water Depth Inversion;2024