Detection of sea ice in sediment laden water using MODIS in the Bohai Sea: a CART decision tree method-Reference-Cited by-同舟云学术

Detection of sea ice in sediment laden water using MODIS in the Bohai Sea: a CART decision tree method

Published:2015-03-16 Issue:6 Volume:36 Page:1661-1674
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhang Na¹²,Wu Yongsheng³,Zhang Qinghe²

Affiliation:

1. School of Civil Engineering, Tianjin Chengjian University, Tianjin 300384, China

2. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China

3. Marine Ecosystem Section, Ocean and Ecosystem Sciences Division, Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada B2Y 4A2

Funder

The Science Fund for Creative Research Groups of the National Natural Science Foundation of China

The Key Program of the Natural Science Foundation of Tianjin, China

Open fund for State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1015658

Reference32 articles.

1. Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery

2. An unstructured-grid, finite-volume sea ice model: Development, validation, and application

3. A comprehensive, automated approach to determining sea ice thickness from SAR data

4. Classification of salt marsh vegetation using edaphic and remote sensing-derived variables

Cited by 25 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. Analysis of Land-Use/Cover-Type Extraction Results of Tamarix Shrub Forest of China Based on Remote Sensing Technology;Forests;2024-07-06

2. Revolutionizing Medical Diagnosis with Novel Teaching-Learning-Based Optimization;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

3. Land use classification in mine-agriculture compound area based on multi-feature random forest: a case study of Peixian;Frontiers in Sustainable Food Systems;2024-01-04

4. A Comparative Study and Machine Learning Enabled Efficient Classification for Multispectral Data in Agriculture;Baghdad Science Journal;2023-12-24

5. Small and medium-scale biorefineries: Biomass quantification and its bioeconomic potential in the Southern Coastal Territory of Bahia;2023-01-31