Academic Journal
Agricultural Monitoring in Regional Scale Using Clustering on Satellite Image Time Series
| Title: | Agricultural Monitoring in Regional Scale Using Clustering on Satellite Image Time Series |
|---|---|
| Authors: | Ribeiro, Renata |
| Source: | MODID-6d55e02e354:IntechOpen |
| Publisher Information: | IntechOpen |
| Publication Year: | 2018 |
| Subject Terms: | Computers / Programming / Algorithms, bisacsh:COM051300 |
| Description: | The remote sensing images are more accessible nowadays and there are proper technologies to receive, distribute, manipulate and process long satellite image time series that can be used to improve traditional methods for harvest monitoring and forecasting. The potential of the satellite multi-temporal images to support research of agricultural monitoring has increased according to improvements in technological development, especially in analysis of large volume of data available for knowledge discovery. In Brazil, sugarcane is cultivated on extensive fields and is the main agriculture crop used to produce ethanol. The main objective of this chapter is to monitor the sugarcane crop by clustering analysis with multi-temporal satellite images having low spatial resolution. A large database of this kind of image and specific software were used to perform the image pre-processing phase, extract time series, apply clustering method and enable the data visualization on several steps during the whole analysis process. According to the analysis done, our methodology allows to identify land areas with similar development patterns, also considering different growing seasons for the crops, covering monthly and annual periods. Results confirm that satellite images of low spatial resolution can indeed be satisfactorily used in agricultural crop monitoring in regional scale. |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | English |
| ISBN: | 978-953-51-3742-9 953-51-3742-5 |
| DOI: | 10.5772/intechopen.71148 |
| Availability: | https://openresearchlibrary.org/viewer/5d1c2b25-848c-4070-9907-1ab4377695a5 https://openresearchlibrary.org/ext/api/media/5d1c2b25-848c-4070-9907-1ab4377695a5/assets/external_content.pdf https://doi.org/10.5772/intechopen.71148 |
| Rights: | https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.A34F328 |
| Database: | BASE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5772/intechopen.71148 Languages: – Text: English Subjects: – SubjectFull: Computers / Programming / Algorithms Type: general – SubjectFull: bisacsh:COM051300 Type: general Titles: – TitleFull: Agricultural Monitoring in Regional Scale Using Clustering on Satellite Image Time Series Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ribeiro, Renata IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2018 Identifiers: – Type: isbn-print Value: 9789535137429 – Type: isbn-print Value: 9535137425 – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: MODID-6d55e02e354:IntechOpen Type: main |
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