Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images

R. A. Molijn; L. Iannini; R. F. Hanssen; J. Vieira Rocha

doi:10.1109/IGARSS.2016.7730863

Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images

R. A. Molijn, L. Iannini, R. F. Hanssen, J. Vieira Rocha

Mathematical Geodesy and Positioning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

During the 2014-2015 sugarcane growth season in São Paulo, Brazil, a considerable dataset was acquired consisting of space-based remote sensing images from radar and optical sensors, together with intensive ground measurements. In this work, images from the Sentinel-1, Radarsat-2 and Landsat-8 satellites are used to test the effectiveness of satellite-based indicators in sugarcane growth monitoring. A two-fold hypothesis testing is applied, in order to find statistically significant emerging hot spots and cold spots, both in space and time. Especially the comparison of results from the radar and optical sensors gives an insight into the difference in capability of these sensors to detect spatial and temporal patterns and trends.

Original language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	IEEE
Pages	7141-7144
Number of pages	4
Volume	2016-November
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7730863
Publication status	Published - 1 Nov 2016
Event	36th IEEE International Geoscience and Remote Sensing Symposium - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016 Conference number: 36

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

Keywords

growth monitoring
hypothesis testing
optical
radar
Sugarcane

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10.1109/IGARSS.2016.7730863

Cite this

Molijn, R. A., Iannini, L., Hanssen, R. F., & Vieira Rocha, J. (2016). Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (Vol. 2016-November, pp. 7141-7144). Article 7730863 IEEE. https://doi.org/10.1109/IGARSS.2016.7730863

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title = "Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images",

abstract = "During the 2014-2015 sugarcane growth season in S{\~a}o Paulo, Brazil, a considerable dataset was acquired consisting of space-based remote sensing images from radar and optical sensors, together with intensive ground measurements. In this work, images from the Sentinel-1, Radarsat-2 and Landsat-8 satellites are used to test the effectiveness of satellite-based indicators in sugarcane growth monitoring. A two-fold hypothesis testing is applied, in order to find statistically significant emerging hot spots and cold spots, both in space and time. Especially the comparison of results from the radar and optical sensors gives an insight into the difference in capability of these sensors to detect spatial and temporal patterns and trends.",

keywords = "growth monitoring, hypothesis testing, optical, radar, Sugarcane",

author = "Molijn, {R. A.} and L. Iannini and Hanssen, {R. F.} and {Vieira Rocha}, J.",

year = "2016",

month = nov,

day = "1",

doi = "10.1109/IGARSS.2016.7730863",

language = "English",

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booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",

publisher = "IEEE",

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note = "36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

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Molijn, RA, Iannini, L, Hanssen, RF & Vieira Rocha, J 2016, Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images. in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. vol. 2016-November, 7730863, IEEE, pp. 7141-7144, 36th IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7730863

Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images. / Molijn, R. A.; Iannini, L.; Hanssen, R. F. et al.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Vol. 2016-November IEEE, 2016. p. 7141-7144 7730863.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images

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AU - Iannini, L.

AU - Hanssen, R. F.

AU - Vieira Rocha, J.

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AB - During the 2014-2015 sugarcane growth season in São Paulo, Brazil, a considerable dataset was acquired consisting of space-based remote sensing images from radar and optical sensors, together with intensive ground measurements. In this work, images from the Sentinel-1, Radarsat-2 and Landsat-8 satellites are used to test the effectiveness of satellite-based indicators in sugarcane growth monitoring. A two-fold hypothesis testing is applied, in order to find statistically significant emerging hot spots and cold spots, both in space and time. Especially the comparison of results from the radar and optical sensors gives an insight into the difference in capability of these sensors to detect spatial and temporal patterns and trends.

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KW - hypothesis testing

KW - optical

KW - radar

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BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

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ER -

Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images

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