Vegetation structural composition mapping of a complex landscape using forest cover density transformation and random decision forest classifier: a comparison-Reference-Cited by-同舟云学术

Vegetation structural composition mapping of a complex landscape using forest cover density transformation and random decision forest classifier: a comparison

Published:2023-06-19 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Danoedoro Projo¹^ORCID,Widayani Prima¹,Hidayati Iswari Nur¹,Arjasakusuma Sanjiwana¹,Gupita Diwyacitta Dirda²,Salsabila Huwaida Nur¹

Affiliation:

1. Remote Sensing Laboratory, Department of Geographical Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia

2. Department of Geography, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2220289

Reference44 articles.

1. Forest canopy density assessment using different approaches – Review

2. Temporal assessment of forest canopy density around Hojai-Diphu railway line in Assam, India;Ahmed R.;Int J Sci Technol Res,2020

3. Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data

4. Mapping Paddy Field Extent and Temporal Pattern Variation in a Complex Terrain Area using Sentinel 1-Time Series Data: Case Study of Magelang District, Indonesia

5. Estimation of Forest Canopy Cover and Forest Fragmentation Mapping Using Landsat Satellite Data of Silabati River Basin (India)

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