Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 Kriese_2022
%A Kriese, Jennifer
%A Hoeser, Thorsten
%A Asam, Sarah
%A Kacic, Patrick
%A Ponte, Emmanuel Da Da
%A Gessner, Ursula
%D 2022
%I MDPI AG
%J Remote Sensing
%K article kacic lsfe
%N 17
%P 4327
%R 10.3390/rs14174327
%T Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco
%U https://doi.org/10.3390%2Frs14174327
%V 14
@article{Kriese_2022,
added-at = {2023-04-03T10:14:45.000+0200},
author = {Kriese, Jennifer and Hoeser, Thorsten and Asam, Sarah and Kacic, Patrick and Ponte, Emmanuel Da Da and Gessner, Ursula},
biburl = {https://www.bibsonomy.org/bibtex/2c37849f559a63b1a95c4eba823e4e2de/earthobs_uniwue},
description = {Remote Sensing | Free Full-Text | Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco},
doi = {10.3390/rs14174327},
interhash = {057ca3efe5d788ef6e29d48467bb270d},
intrahash = {c37849f559a63b1a95c4eba823e4e2de},
journal = {Remote Sensing},
keywords = {article kacic lsfe},
month = sep,
number = 17,
pages = 4327,
publisher = {{MDPI} {AG}},
timestamp = {2023-04-03T10:14:45.000+0200},
title = {Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco},
url = {https://doi.org/10.3390%2Frs14174327},
volume = 14,
year = 2022
}