Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning-Reference-Cited by-同舟云学术

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Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning

Published:2024-04 Issue: Volume:356 Page:120564
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Ogungbuyi Michael Gbenga^ORCID,Guerschman Juan,Fischer Andrew M.,Crabbe Richard Azu^ORCID,Ara Iffat^ORCID,Mohammed Caroline,Scarth Peter,Tickle Phil,Whitehead Jason,Harrison Matthew Tom^ORCID

Publisher

Elsevier BV

Reference81 articles.

1. Satellite remote sensing of grasslands: from observation to management;Ali;J. Plant Ecol.,2016

2. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Rem. Sens.,2015

3. Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV imagery using machine learning approaches;Alvarez-Mendoza;Rem. Sens.,2022

4. Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach;Ambrosone;Int. J. Appl. Earth Obs. Geoinf.,2020

5. Modelling seasonal pasture growth and botanical composition at the paddock scale with satellite imagery;Ara;Silico Plants,2021

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1. Biomass Estimation of Milk Vetch Using UAV Hyperspectral Imagery and Machine Learning;Remote Sensing;2024-06-16

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