Application of Unmanned Aerial Vehicle and Random Forests Model in Alpine Grassland Cover Estimation: A Case Study in the Xiahe County, China

B. P. Meng, T. G. Liang, Q. S. Feng, J. L. Gao, J. Ge, J. Liu

2018

Abstract

Estimate grassland cover accurately is crucial in understanding of existing and changing processes on regional ecology in a pasturing area. In this study, the unmanned aerial vehicle (UAV) is used to measure grassland cover (in Xiahe County, from 2014 to 2016), for developing and validating various inversion models of Alpine grassland cover, based on MODIS vegetation indices and meteorological data. Results show that: (1) the logarithm model of enhanced vegetation index (EVI) performs the best among the single variate models, with an R2 and RMSE of 0.48 and 16.95%, respectively and (2) the random forest model is the optimum grassland cover inversion model among all models examined, with R2 and RMSE of 0.73 and 12.11%, respectively.

Paper Citation

in Harvard Style

Meng B., Liang T., Feng Q., Gao J., Ge J. and Liu J. (2018). Application of Unmanned Aerial Vehicle and Random Forests Model in Alpine Grassland Cover Estimation: A Case Study in the Xiahe County, China.In Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE, ISBN 978-989-758-344-5, pages 13-19. DOI: 10.5220/0007556500130019

in Bibtex Style

@conference{iwemse18,
author={B. P. Meng and T. G. Liang and Q. S. Feng and J. L. Gao and J. Ge and J. Liu},
title={Application of Unmanned Aerial Vehicle and Random Forests Model in Alpine Grassland Cover Estimation: A Case Study in the Xiahe County, China},
booktitle={Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,},
year={2018},
pages={13-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007556500130019},
isbn={978-989-758-344-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,
TI - Application of Unmanned Aerial Vehicle and Random Forests Model in Alpine Grassland Cover Estimation: A Case Study in the Xiahe County, China
SN - 978-989-758-344-5
AU - Meng B.
AU - Liang T.
AU - Feng Q.
AU - Gao J.
AU - Ge J.
AU - Liu J.
PY - 2018
SP - 13
EP - 19
DO - 10.5220/0007556500130019