Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance-Reference-Cited by-同舟云学术

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Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance

Published:2024-08 Issue: Volume:355 Page:110106
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Revenga Jaime C.^ORCID,Trepekli Katerina,Jensen Rasmus,Rummel Pauline S.^ORCID,Friborg Thomas^ORCID

Publisher

Elsevier BV

Reference94 articles.

1. Winter wheat carbon exchange in Thuringia, Germany;Anthoni;Agricult. Forest. Meterol.,2004

2. Carbon and nitrogen partitioning during the post-anthesis period is conditioned by N fertilisation and sink strength in three cereals;Aranjuelo;Plant Biol.,2013

3. Estimating canopy density parameters time-series for winter wheat using UAS Mounted LiDAR;Bates;Remote Sens.,2021

4. A theory of learning from different domains;Ben-David;Mach. Learn.,2010

5. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging;Bendig;Remote Sens.,2014

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