Large‐scale and fine‐grained mapping of heathland habitats using open‐source remote sensing data-Reference-Cited by-同舟云学术

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Large‐scale and fine‐grained mapping of heathland habitats using open‐source remote sensing data

Published:2022-02-22 Issue:4 Volume:8 Page:448-463
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Hubert‐Moy Laurence¹^ORCID,Rozo Clémence¹,Perrin Gwenhael²,Bioret Frédéric²,Rapinel Sébastien¹

Affiliation:

1. University of Rennes, LETG UMR 65554 CNRS place du recteur Henri Le Moal Rennes 35000 France

2. University of Brest, Laboratoire Géoarchitecture Brest 29200 France

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.253

Reference76 articles.

1. Earth Observation and Biodiversity Big Data for Forest Habitat Types Classification and Mapping

2. Resolving potential conflicts between different heathland ecosystem services through adaptive management

3. Modelling the area of occupancy of habitat types with remote sensing

4. Linear discriminant analysis‐a brief tutorial;Balakrishnama S.;Institute for Signal and Information Processing,1998

Cited by 2 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. Combining Multitemporal Optical and Radar Satellite Data for Mapping the Tatra Mountains Non-Forest Plant Communities;Remote Sensing;2024-04-19

2. Predicting the suitability area of heath alliances over France using open-source data;Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology;2023-01-17

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