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Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangro...

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_rs11232833

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

About this item

Full title

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

Journal title

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (23), p.2833

Language

English

Formats

More information

Scope and Contents

Contents

Mangrove forests play a global role in providing ecosystem goods and services in addition to acting as carbon sinks, and are particularly vulnerable to climate change effects such as rising sea levels and increased salinity. For this reason, accurate long-term monitoring of mangrove ecosystems is vital. However, these ecosystems are extremely dynam...

Alternative Titles

Full title

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_3390_rs11232833

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_rs11232833

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs11232833

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