A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data-Reference-Cited by-同舟云学术

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A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data

Published:2020-06 Issue: Volume:88 Page:102057
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Kowe Pedzisai,Mutanga Onisimo,Odindi John,Dube Timothy

Funder

DST)

National Research Foundation (NRF) of South Africa

NRF

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference109 articles.

1. The effects of urban patterns on ecosystem function;Alberti;Int. Reg. Sci. Rev.,2005

2. Urban landscapes and sustainable cities;Andersson;Ecol. Soc.,2006

3. Local indicators of spatial association—LISA;Anselin;Geogr. Anal.,1995

4. Clustering via nonparametric density estimation;Azzalini;Stat. Comput.,2007

5. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance;Baig;Remote. Sens. Lett.,2014

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