Application of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc Mountains of Tanzania-Reference-Cited by-同舟云学术

Application of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc Mountains of Tanzania

Published:2015-05-20 Issue:1 Volume:31 Page:1-21
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Ojoyi Mercy,Mutanga Onisimo,Odindi John,Abdel-Rahman Elfatih M.

Funder

UNESCO L’Oreal Foundation for Women in Science and the International Development Research Centre (IDRC), Ontario Canada

University of KwaZulu-Natal, South Africa

Faculty of Geo-Information Science and Earth Observation, University of Twente (ITC)

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

http://www.tandfonline.com/doi/pdf/10.1080/10106049.2015.1041557

Reference119 articles.

1. Partial Least Square Regression

2. Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

3. The Mineral Nutrition of Wild Plants Revisited: A Re-evaluation of Processes and Patterns

4. Principal component analysis applied to feature-oriented band ratios of hyperspectral data: A tool for vegetation studies

5. Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

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