Quantitative assessment of grassland foliar moisture parameters as an inference on rangeland condition in the mesic rangelands of southern Africa-Reference-Cited by-同舟云学术

Quantitative assessment of grassland foliar moisture parameters as an inference on rangeland condition in the mesic rangelands of southern Africa

Published:2020-12-07 Issue:4 Volume:42 Page:1474-1491
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Sibanda Mbulisi¹^ORCID,Onisimo Mutanga¹^ORCID,Dube Timothy²^ORCID,Mabhaudhi Tafadzwanashe³^ORCID

Affiliation:

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

2. Department of Earth Sciences, Faculty of Natural Sciences, University of the Western Cape, Cape Town, South Africa

3. Centre for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa

Funder

National Research Foundation of South Africa

Research Chair initiative in Land Use Planning and Management

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1832282

Reference43 articles.

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

2. Spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception