Assessing the niche of Rhododendron arboreum using entropy and machine learning algorithms: role of atmospheric, ecological, and hydrological variables-Reference-Cited by-同舟云学术

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Assessing the niche of Rhododendron arboreum using entropy and machine learning algorithms: role of atmospheric, ecological, and hydrological variables

Published:2022-05-26 Issue:04 Volume:16 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Anand Akash¹,Srivastava Prashant K.¹,Pandey Prem C.²,Khan Mohammed L.³,Behera Mukund D.⁴

Affiliation:

1. Banaras Hindu University, Institute of Environment and Sustainable Development, Remote Sensing Labor

2. Shiv Nadar University, Greater Noida, Uttar Pradesh

3. Dr. H. S. Gour University, Department of Botany, Sagar, Madhya Pradesh

4. CORAL, IIT Kharagpur, IIT Kharagpur, West Bengal, West Bengal

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 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. Assessment of Carbon Sequestration Capacity of E. ulmoides in Ruyang County and Its Ecological Suitability Zoning Based on Satellite Images of GF-6;Sensors;2023-09-15

2. Seeing from space makes sense: Novel earth observation variables accurately map species distributions over Himalaya;Journal of Environmental Management;2023-01

3. Challenges and Future Possibilities Toward Himalayan Forest Monitoring;Advances in Remote Sensing for Forest Monitoring;2022-10-14

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