4.1 Article

A machine learning approach for monitoring Brazilian optical water types using Sentinel-2 MSI

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Limnology

Optical types of inland and coastal waters

Evangelos Spyrakos et al.

LIMNOLOGY AND OCEANOGRAPHY (2018)

Article Environmental Sciences

An Optical Classification Tool for Global Lake Waters

Marieke A. Eleveld et al.

REMOTE SENSING (2017)

Article Remote Sensing

Analyzing the status of submerged aquatic vegetation using novel optical parameters

Luiz H. S. Rotta et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)

Article Environmental Sciences

Time-series analysis of Landsat-MSS/TM/OLI images over Amazonian waters impacted by gold mining activities

Felipe L. Lobo et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Article Biodiversity Conservation

Responses of aquatic macrophyte cover and productivity to flooding variability on the Amazon floodplain

Thiago S. F. Silva et al.

GLOBAL CHANGE BIOLOGY (2013)

Article Environmental Sciences

Removing glint effects from field radiometry data measured in optically complex coastal and inland waters

Tiit Kutser et al.

REMOTE SENSING OF ENVIRONMENT (2013)

Article Environmental Sciences

Remote chlorophyll-a estimates for inland waters based on a cluster-based classification

Kun Shi et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2013)

Article Remote Sensing

Reference spectra to classify Amazon water types

Felipe de Lucia Lobo et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)

Article Environmental Sciences

Optical classification of contrasted coastal waters

V. Vantrepotte et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Environmental Sciences

Remote estimation of chlorophyll a in optically complex waters based on optical classification

Chengfeng Le et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Review Engineering, Electrical & Electronic

Novelty detection: a review - part 1: statistical approaches

M Markou et al.

SIGNAL PROCESSING (2003)