Mapping the depth of peatlands using neural networks spatial models

Authors:
Rudiyanto, Budi Indra Setiawan, Chusnul Arif, Satyanto Krido Saptomo, Yudi Chadirin and Budiman Minasny

Book:
Proceedings of the 15th International Peat Congress

Venue:
Kuching

Keywords:
artificial-neural-networks, peat-depth-map, soil-mapping

Documentfile:
ipc16p485a082rudiyanto.setiawan.etal_.pdf

Summary:

Peatland is known as a huge carbon pool which plays an important role in the global carbon cycle. One of the crucial properties of peatland is peat depth which can be used to estimate below ground carbon stocks and to develop policy for suitable peatland management. Because of lack of a clear methodology, only a few peat depth maps have been published. Meanwhile digital soil mapping techniques have been developed and successfully…