Monitoring the spatial–temporal distribution of invasive plant in urban water using deep learning and remote sensing technology-Reference-Cited by-同舟云学术

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Monitoring the spatial–temporal distribution of invasive plant in urban water using deep learning and remote sensing technology

Published:2024-05 Issue: Volume:162 Page:112061
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Hao Zhenbang^ORCID,Lin Lili^ORCID,Post Christopher J.,Mikhailova Elena A.

Publisher

Elsevier BV

Reference82 articles.

1. Mapping of the invasive species Hakea sericea using unmanned aerial vehicle (UAV) and worldview-2 imagery and an object-oriented approach;Alvarez-Taboada;Remote Sens.,2017

2. Invasive alien plant management;Auld;CABI Rev.,2014

3. Invasive aquatic plants in the aquarium and ornamental pond industries: a risk assessment for southern Ontario (Canada);Azan;Weed Res.,2015

4. Invasion impact is conditioned by initial vegetation states;Bakacsy;Community Ecol.,2019

5. Drone-based identification and monitoring of two invasive alien plant species in open sand grasslands by six RGB vegetation indices;Bakacsy;Drones,2023

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