A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery-Reference-Cited by-同舟云学术

A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery

Published:2020-12-20 Issue:5 Volume:42 Page:1713-1737
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Brandt John¹^ORCID,Stolle Fred¹

Affiliation:

1. Forests Program, World Resources Institute, Washington, D.C., USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1841324

Reference88 articles.

1. Abadi, M., A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, et al. 2015. “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.” Software Available from Tensorflow.org. http://tensorflow.org/.

2. Ba, J. L., J. R. Kiros, and G. E. Hinton. 2016. “Layer Normalization.” arXiv: 1607.06450.

3. The extent of forest in dryland biomes

4. Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maximizing tree carbon in croplands and grazing lands while sustaining yields;Carbon Balance and Management;2024-07-31

2. Wide-Scale Identification of Small Woody Features of Landscape from Remote Sensing;Land;2024-07-24

3. Mapping Trees Outside Forests Using Semantic Segmentation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Spatial identification of lost-and-found carbon hotspots at Javanese rice systems, Indonesia;Agricultural Systems;2024-02

5. Securing Nature’s Contributions to People requires at least 20%–25% (semi-)natural habitat in human-modified landscapes;One Earth;2024-01