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Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method fo...

Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method fo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8cfa0cbba0464f9dab91eae761744e00

Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion

About this item

Full title

Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion

Publisher

Goddard Space Flight Center: MDPI

Journal title

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (20), p.3459

Language

English

Formats

Publication information

Publisher

Goddard Space Flight Center: MDPI

More information

Scope and Contents

Contents

The increasing availability of very-high resolution (VHR; <2 m) imagery has the potential to enable agricultural monitoring at increased resolution and cadence, particularly when used in combination with widely available moderate-resolution imagery. However, scaling limitations exist at the regional level due to big data volumes and processing cons...

Alternative Titles

Full title

Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8cfa0cbba0464f9dab91eae761744e00

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8cfa0cbba0464f9dab91eae761744e00

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12203459

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