Spatial pattern analysis of deforestation in the northeast of Minas Gerais State, Brazil

被引:1
|
作者
Diniz, Juliana Maria F. de Souza [1 ,2 ]
dos Reis, Aliny Aparecida [2 ,3 ]
Junior, Fausto Weimar A. [2 ]
机构
[1] Inst Nacl Pesquisas Espaciais INPE, Ave Astronautas,1758,Jardim Granja, BR-12227010 Sao Jose Dos Campos, SP, Brazil
[2] Univ Fed Lavras, Dept Ciencias Exatas DCF, Ave Doutor Sylvio Menicucci 1001, BR-37200000 Lavras, MG, Brazil
[3] Univ Estadual Campinas UNICAMP, Nucleo Interdisciplinar Planejamento Energet NIPE, Rua Cora Coralina,330,Cidade Univ, BR-13083896 Campinas, SP, Brazil
来源
关键词
spatial point patters; Ripley's K-function; remote sensing; deforestation; FOREST; LAND; CONSERVATION; AREAS; FIRE;
D O I
10.1590/0001-3765202320191247
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding the spatial pattern of a particular geographic phenomenon such as deforestation is a key issue to establish monitoring programs to prevent the depletion of natural resources. Thus, the goal of this study was to assess the spatial pattern of deforested areas in the Pardo and Jequitinhonha River basins using Ripley's K function. First, we mapped all deforested areas in these basins using Landsat multispectral imagery from 2007 to 2015. Then, we used the Ripley's K function to test for spatial interactions between deforestation events. Our results showed that deforestations predominantly occur in a clustering spatial pattern in these basins. Spatial statistical analyses as Ripley's K function may provide a baseline for deforestation monitoring, as well as allowing us to understand the spatial pattern of deforestation in different natural ecosystems, especially in countries like Brazil, where the territorial dimension presents a great difficulty for the effectiveness of deforestation monitoring.
引用
收藏
页数:12
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