Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control-Reference-Cited by-同舟云学术

Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control

Published:2019-03-01 Issue:15 Volume:40 Page:5917-5937
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Malahlela Oupa E.¹²^ORCID,Adjorlolo Clement³,Olwoch Jane M.¹⁴,Kganyago Mahlatse L.²^ORCID,Mashalane Morwapula J.²

Affiliation:

1. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Hatfield, South Africa

2. South African National Space Agency (SANSA), Earth Observation Directorate, Pretoria, South Africa

3. New Partnership for Africa’s Development (NEPAD) Agency, Midrand, South Africa

4. Southern African Science Service Center for Climate Change and Adaptive Land Management (SASSCAL), Windhoek, Namibia

Funder

South African National Space Agency

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1584688

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3. Integrating field sampling, spatial statistics and remote sensing to map wetland vegetation in the Pantanal, Brazil

4. Failure of passive zooprophylaxis: cattle ownership in Pakistan is associated with a higher prevalence of malaria

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