Estimation of Deforestation Rate and Forest Land Use Land Cover Change Detection

Kalaiyarasi, M.; Saravanan, S.; Balaji., R; Karthi, S.; Rao, D S Naga Malleswara; Sireesha, D. Nagineni Venkata

doi:10.1109/iceconf57129.2023.10083928

Cited by 2 publications

(1 citation statement)

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“…Segmentation divided them into internally homogeneous groups but heterogeneous among themselves. The groupings were determined using the k-means method (non-hierarchical clustering), as this method performs well and is easy to understand when working with a large set of observations [61][62][63][64][65][66] . The number of clusters was determined using the Elbow method 67 .…”

Section: Analysis Unitmentioning

confidence: 99%

The Amazon Deforestation Calendar: Unveiling the role of marked seasonal patterns

Bezerra,

Silva,

Aguiar

et al. 2023

Preprint

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The Amazon biome has experienced significant changes in its landscape, similar to other tropical forests, primarily due to changes in land use in the area. Despite previously established strategies to contain the advance of deforestation, we have observed an increase in deforestation rates recently. Our objective was to analyze deforestation in the biome using clustering and spatial analysis methods to understand deforestation patterns and spatio-temporal dynamics. Regions 1 and 2 stood out as priority areas for monitoring and combating deforestation. Human settlements, agricultural land, and undesignated public forests characterize these areas. Deforestation in these areas presents a significant level of seasonality in its mode and dynamics. The results emphasize that annual deforestation changes require strategies addressing territorial differences. Therefore, prevention and intervention measures must be adapted to seasonal variations and the specific characteristics of each region to combat deforestation in the Amazon biome effectively.

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Section: Analysis Unitmentioning

confidence: 99%