Table of Contents
ISPRS Int. J. Geo-Inf., Volume 9, Issue 10 (October 2020) – 55 articles
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Cover Story (view full-size image) This work implements an approach for geospatial time-series processing in the analysis of [...] Read more. This work implements an approach for geospatial time-series processing in the analysis of deforestation. The method includes machine learning satellite image classification deployed on the cloud-based processing service Google Earth Engine. Twenty years of forest dynamics in the Amazonas were analysed, where classified maps were validated against high-resolution imagery through open-source software CollectEarth. An artificial neural network-based simulation, built thanks to the derived historical forest trends, was implemented to obtain a simulation of future forest loss. The processing approach is adaptable to different regions and periods of time, allowing also the monitoring of short/long-term implementation of forest preserving policies. View this paper