Peat swamp forests contain large carbon deposits which in turn if caught fire, will release large amount of carbon dioxide into the atmosphere. Besides, this results in haze. Therefore, it is increasingly important to preserve this peat swamp as much as possible. We have witnessed over the years the fire occurrence in the peat swamp forests. This has contributed exposing peatland areas more, thereby allowing greenhouse gases to be released into the atmosphere. Therefore, to date, there have been extensive investigations how peatland fire can be prevented. In order to monitor and avoid fire out-breaking in peat swamp forests, in this paper we propose a LoRa based remote monitoring system. In our solution, we developed two Remote Sensing Clusters (RSCs), which are comprised of different sensor probes in order to collect remotely parameters that are crucial for understanding the condition of a peatland. This remote monitoring solution takes advantage of Cloud technologies in order to understand the pattern and holistic view of the situation in a peatland. This solution is the first of its kind deployed in peatland of Brunei Darussalam. Our findings are based on the data from the test-bed deployed in a peatland area indicate that the proposed solution can successfully obtain data with high reliability and accuracy.
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