Use of unmanned aerial vehicle-derived multi-spectral data for the early detection of multi-temporal maize leaf equivalent water thickness and fuel moisture content for the improved resilience of smallholder maize farming-Reference-Cited by-同舟云学术

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Use of unmanned aerial vehicle-derived multi-spectral data for the early detection of multi-temporal maize leaf equivalent water thickness and fuel moisture content for the improved resilience of smallholder maize farming

Published:2024-03-08 Issue:01 Volume:18 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Ndlovu Helen S.¹,Odindi John¹,Sibanda Mbulisi²,Mutanga Onisimo¹,Clulow Alistair³,Chimonyo Vimbayi G. P.⁴,Mabhaudhi Tafadzwanashe⁴

Affiliation:

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

2. University of the Western Cape, Department of Geography, Environmental Studies and Tourism, Faculty of Arts, Cape Town, South Africa

3. University of KwaZulu-Natal, Discipline of Agrometeorology, School of Agricultural, Earth and Environmental Sciences, Pietermaritzburg, South Africa

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

Publisher

SPIE-Intl Soc Optical Eng

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