Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques

Author： Schwieder Marcel Leitão Pedro J. Suess Stefan Senf Cornelius Hostert Patrick

Publisher： MDPI

E-ISSN： 2072-4292|6|4|3427-3445

ISSN： 2072-4292

Source： Remote Sensing, Vol.6, Iss.4, 2014-04, pp. : 3427-3445

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data

By Suess Stefan van der Linden Sebastian Okujeni Akpona Leitão Pedro J. Schwieder Marcel Hostert Patrick

Remote Sensing, Vol. 7, Iss. 8, 2015-08 ,pp. : 10668-10688

MDPI

Access to resources Recommend Favorite

Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images

By Yokoya Naoto Chan Jonathan Cheung-Wai Segl Karl

Remote Sensing, Vol. 8, Iss. 3, 2016-02 ,pp. : 172-172

MDPI

Access to resources Recommend Favorite

Restoration of Simulated EnMAP Data through Sparse Spectral Unmixing

By Cerra Daniele Bieniarz Jakub Müller Rupert Storch Tobias Reinartz Peter

Remote Sensing, Vol. 7, Iss. 10, 2015-10 ,pp. : 13190-13207

MDPI

Access to resources Recommend Favorite

Comparison of Four Machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data

By Yang Linqing Jia Kun Liang Shunlin Liu Jingcan Wang Xiaoxia

Remote Sensing, Vol. 8, Iss. 8, 2016-08 ,pp. : 682-682

MDPI

Access to resources Recommend Favorite

Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling

By Malec Sarah Rogge Derek Heiden Uta Sanchez-Azofeifa Arturo Bachmann Martin Wegmann Martin

Remote Sensing, Vol. 7, Iss. 9, 2015-09 ,pp. : 11776-11800

MDPI

Access to resources Recommend Favorite