A review of remote sensing applications in tropical forestry with a particular emphasis in the plantation sector-Reference-Cited by-同舟云学术

A review of remote sensing applications in tropical forestry with a particular emphasis in the plantation sector

Published:2018-10-01 Issue:3 Volume:35 Page:317-339
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Trisasongko Bambang H.¹²^ORCID,Paull David¹

Affiliation:

1. School of Physical, Environmental and Mathematical Sciences, University of New South Wales at the Australian Defence Force Academy, Campbell, Australian Capital Territory, 2600, Australia;

2. Department of Soil Science and Land Resources, Bogor Agricultural University, Bogor, 16680, Indonesia

Funder

Japan Aerospace Exploration Agency (JAXA)

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2018.1516245

Reference173 articles.

1. Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers

2. Adam EMI, Mutanga O. 2012. Estimation of high density wetland biomass: combining regression model with vegetation index developed from Worldview-2 imagery. Proceedings Volume 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV; 85310V; Edinburgh, United Kingdom.

3. Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

4. Seasonal changes in relative C-band backscatter of northern forest cover types

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