Header

UZH-Logo

Maintenance Infos

MODIS and Landsat TM image fusion using the SIFuLAP method for mapping the Brazilian savannas (Cerrado)


Acerbi-Junior, F W; Zurita-Milla, Raúl; Wachowicz, M; Clevers, J G P W; Schaepman, Michael E (2005). MODIS and Landsat TM image fusion using the SIFuLAP method for mapping the Brazilian savannas (Cerrado). In: 25th Intl. EARSeL Symposium "Global Developments in Environmental Earth Observation from Space", Porto (P), 6 June 2005 - 11 June 2005, 71-79.

Abstract

The Cerrado is the second largest biome in Brazil, covering an area of about 2 million km2. However, recent estimates revealed that more than one third of the Cerrado was already converted into other land cover types. This paper presents a multi-temporal data fusion experiment where one Landsat TM image (30 m) was fused with a series of MODIS images (250-500 m). Moreover, a simplified data fusion method based on the Laplacian pyramid concept (SIFuLAP) is illustrated. The objective is to assess the ability of the fused images to reflect the seasonal patterns of the Cerrado. In order to do that, NDVI temporal profiles were derived from the fused images and subsequently compared with the ones that were obtained from the original MODIS images. In addition, the temporal fused products were used in an attempt to improve classification accuracy of the Cerrado. The results showed that the NDVI temporal profiles, derived from the fused images, were efficient to assess the seasonal behaviour of the Cerrado. Moreover, classification accuracy was improved using the temporal fused images as additional information into the classifier.

Abstract

The Cerrado is the second largest biome in Brazil, covering an area of about 2 million km2. However, recent estimates revealed that more than one third of the Cerrado was already converted into other land cover types. This paper presents a multi-temporal data fusion experiment where one Landsat TM image (30 m) was fused with a series of MODIS images (250-500 m). Moreover, a simplified data fusion method based on the Laplacian pyramid concept (SIFuLAP) is illustrated. The objective is to assess the ability of the fused images to reflect the seasonal patterns of the Cerrado. In order to do that, NDVI temporal profiles were derived from the fused images and subsequently compared with the ones that were obtained from the original MODIS images. In addition, the temporal fused products were used in an attempt to improve classification accuracy of the Cerrado. The results showed that the NDVI temporal profiles, derived from the fused images, were efficient to assess the seasonal behaviour of the Cerrado. Moreover, classification accuracy was improved using the temporal fused images as additional information into the classifier.

Statistics

Downloads

163 downloads since deposited on 07 May 2013
34 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:11 June 2005
Deposited On:07 May 2013 08:56
Last Modified:14 Aug 2017 17:38
Publisher:Millpress
Additional Information:Proceedings 25th Intl. EARSeL Symposium "Global Developments in Environmental Earth Observation from Space", erschienen 2006
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.earsel.org/symposia/2005-symposium-Porto/pdf/009.pdf

Download

Preview Icon on Download
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 93kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations