Potential of ensemble tree methods for early-season prediction of winter wheat yield from short time series of remotely sensed normalized difference vegetation index andin situmeteorological data-Reference-Cited by-同舟云学术

Potential of ensemble tree methods for early-season prediction of winter wheat yield from short time series of remotely sensed normalized difference vegetation index andin situmeteorological data

Published:2015-03-12 Issue:1 Volume:9 Page:097095
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Heremans Stien¹,Dong Qinghan²,Zhang Beier³,Bydekerke Lieven²,Van Orshoven Jos¹

Affiliation:

1. KU Leuven (University of Leuven), Department of Earth and Environmental Sciences, Celestijnenlaan 200E, BE-3001 Leuven, Belgium

2. Flemish Institute of Technological Research (VITO), Department of Remote Sensing, Boeretang 200, BE-2400 Mol, Belgium

3. Anhui Institution for Economical Research, Hefei 230001, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

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