Using Geographic Information Systems and Remote Sensing Technique to Classify Land Cover Types and Predict Grassland Bird Abundance and Distribution in Nairobi National Park, Kenya-Reference-Cited by-同舟云学术

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Using Geographic Information Systems and Remote Sensing Technique to Classify Land Cover Types and Predict Grassland Bird Abundance and Distribution in Nairobi National Park, Kenya

Published:2024 Issue: Volume: Page:
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Author:

Ong'ondo Frank Juma,Ambinakudige Shrinidhi,Malaki Philista Adhiambo,Njoroge Peter

Publisher

Elsevier BV

Reference50 articles.

1. Application of remote sensing techniques and geographic information systems to analyze land surface temperature in response to land use/land cover change in greater Cairo region;M Aboelnour;Journal of Geographic Information System,2018

2. The shape of terrestrial abundance distributions;J Alroy;Science Advances,2015

3. GIS assessment of environmental footprints of the standard gauge railway (SGR) on Nairobi national park;M M Ambani;Journal of Environmental Protection,2021

4. Mapping and Monitoring Spatial-Temporal Cover Change of Prosopis Species Colonization in Baringo Central;A A Amboka;Kenya. International Journal of Engineering Science Invention,2015

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