The use of machine learning methods to estimate aboveground biomass of grasslands: A review
Author:
Publisher
Elsevier BV
Subject
Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences
Reference77 articles.
1. Efficient machine learning for big data: a review;Al-Jarrah;Big Data Res,2015
2. Satellite remote sensing of grasslands: from observation to management;Ali;J. Plant Ecol.,2016
3. Modeling managed grassland biomass estimation by using multitemporal remote sensing data-A machine learning approach;Ali;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2017
4. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens.,2015
5. Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning;Anderson;Ecol. Indic.,2018
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