servir-aces: A Python Package for Training Machine Learning Models for Remote Sensing Applications-Reference-Cited by-同舟云学术

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servir-aces: A Python Package for Training Machine Learning Models for Remote Sensing Applications

Published:2024-07-10 Issue:99 Volume:9 Page:6729
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Bhandari Biplov^ORCID,Mayer Timothy^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.06729.pdf

Reference9 articles.

1. Google Earth Engine: Planetary-scale geospatial analysis for everyone;Gorelick;Remote sensing of Environment,2017

2. Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine;Mayer;ISPRS Open Journal of Photogrammetry and Remote Sensing,2021

3. Employing the agricultural classification and estimation service (ACES) for mapping smallholder rice farms in Bhutan;Mayer;Frontiers in Environmental Science,2023

4. Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery;Bhandari,2024

5. Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine;Bakkestuen;Remote Sensing,2023

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