Predicting soil organic carbon stocks under commercial forest plantations in KwaZulu-Natal province, South Africa using remotely sensed data-Reference-Cited by-同舟云学术

Predicting soil organic carbon stocks under commercial forest plantations in KwaZulu-Natal province, South Africa using remotely sensed data

Published:2020-02-23 Issue:4 Volume:57 Page:450-463
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Odebiri Omosalewa¹^ORCID,Mutanga Onisimo¹,Odindi John¹,Peerbhay Kabir¹²^ORCID,Dovey Steven²

Affiliation:

1. Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, South Africa

2. Sappi Forests, Tweedie, howick, South Africa

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1731108

Reference84 articles.

1. Carbon Sequestration in Soils: The Opportunities and Challenges

2. Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review

3. Aynekulu, B. E., T. Vagen, K. Shephard, and L. Winowiecki. 2011. A Protocol for Modeling, Measurement and Monitoring Soil Carbon Stocks in Agricultural Landscapes. Version 1.1.

4. Potentials and limits of vegetation indices for LAI and APAR assessment

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