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Using MERIS for mountain vegetation mapping and monitoring in Sweden

Reese, Heather and Nilsson, Mats and Olsson, Håkan (2007). Using MERIS for mountain vegetation mapping and monitoring in Sweden. I/In: ENVISAT Symposium , 23-27 April 2007, Montreux, Switzerland.
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Official URL: http://envisat.esa.int/envisatsymposium/proceeding...

Abstract

The objective of this study is to apply ENVISAT MERIS data in mapping mountain vegetation in Sweden. The Swedish mountain vegetation is characterized by mosaics of different land cover types; a single MERIS pixel (300 meter IFOV) can consist of several of these different land cover types. “Hard” classifications which produce a single thematic class per pixel often give a low accuracy. While many different unmixing methods are reviewed in the literature, the use of regression trees is reported to be more promising than, for example, Linear Spectral Mixture Analysis. Regression trees handle non-linear data and are non-parametric, and can be well-suited for sub-pixel vegetation fraction estimation. Here, the soft classification methods of regression trees and linear regression are applied using spectral data from a MERIS Level 1B FR image. The image is corrected for atmosphere and illumination, and MTCI and PCA are calculated. Nine-hundred training plots are used for seven major vegetation classes. Preliminary results show that regression trees produce a slightly lower overall RMSE (20.1%) than linear regression (20.6%), although generally slightly higher class-wise biases. Results are promising however, and further improvements will be pursued.

Authors/Creators:Reese, Heather and Nilsson, Mats and Olsson, Håkan
Title:Using MERIS for mountain vegetation mapping and monitoring in Sweden
Series/Journal:ESA SP
Year of publishing :2007
Number:636
Page range:1-6
Place of Publication:Noordwijk, Netherlands
ISBN for printed version:92-9291-200-1
ISSN:1609-042X
Language:English
Publication Type:Conference Paper (Paper)
Refereed:No
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Other Earth and Related Environmental Sciences
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Keywords:MERIS, Mountain, Regression tree
URN:NBN:urn:nbn:se:slu:epsilon-e-243
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-243
ID Code:8350
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Heather Reese
Deposited On:01 Nov 2011 12:41
Metadata Last Modified:02 Dec 2014 10:47

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