Data: Near Real-Time Forest Change Detection Using Bayesian Change Point Algorithm

Stephen Okonkwo

Description

The aim is to show that forest cover change detection can be done in near real-time using a combination of remote sensing data, statistical tools and computer programming languages.

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Metrics

Dataset Index

0.7

FAIR Score

65%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.17632/6d9jb4kjmv

Publisher

Mendeley

Assigned Domain

Subfield

Environmental Engineering

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

54%

Source

Scholar Data Model

Normalization Factors

30.77

CTw

1.00

MTw

1.00