Surf and Turf: Two-Way Spatial Extrapolation Utilizing Drone-Based Monitoring Phenology of Sea-Land Invasive Alien Species-Reference-Cited by-同舟云学术

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Surf and Turf: Two-Way Spatial Extrapolation Utilizing Drone-Based Monitoring Phenology of Sea-Land Invasive Alien Species

Published:2024-07-07 Issue: Volume:33 Page:5280-5283
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Hung Hao-Yuan¹,Kuo Chin-Jin¹,Shao Bao-Hua²,Lo Nan-Chang³,Huang Kai-Yi¹

Affiliation:

1. Chung-Hsing University,Dept. of Forestry,Taichung,Chinese Taipei,402

2. Ministry of Agriculture,Pu-Li Workstation, Nantou Branch, Forestry and Nature Conservation Agency,Nantou,Chinese Taipei,545

3. Chung-Hsing University,Experimental Forest Management Office,Taichung,Chinese Taipei,402

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641245.pdf?arnumber=10641245

Reference5 articles.

1. Spatial scale and data resolution: the dilemma of spatially extrapolating ecological pattern of species - a case study of Cinnamomum subavenium and Brainea insignis;Lo;Quarterly Journal of Forest Research,2011

2. Effects of Invasive Alien Plants on Fire Regimes

3. Detection of Yucca gloriosa in Mediterranean coastal dunes: A comparative analysis of field-based sampling, human interpretation of UAV imagery and deep learning to develop an effective tool for controlling invasive plants

4. Phenology-based classification of invasive annual grasses to the species level

5. Remote Sensing Digital Image Analysis

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