Prediction of Water Levels on Peatland using Deep Learning
The water level on peatlands is one of the causes of peatland fires, so water levels must be maintained at a safe standard value. Government Regulation No. 71/2014 stipulates water level standard value is 0.4 meters. The forest and land fires in 2015 caused huge losses of 220 trillion Rupiah. Howeve...
Main Authors: | Namora, Jan Everhard Riwurohi |
---|---|
Format: | Article |
Language: | English |
Published: |
Ikatan Ahli Informatika Indonesia
2022-04-01
|
Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
Subjects: | |
Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3919 |
Similar Items
-
Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires
by: Xiaoman Lu, et al.
Published: (2021-01-01) -
Modelo de interpretación de lengua de señas colombiano usando inteligencia artificial
by: Jader Alejandro Muñoz-Galindez, et al.
Published: (2023-08-01) -
Effects of water level alteration on carbon cycling in peatlands
by: Yehui Zhong, et al.
Published: (2020-12-01) -
Water level prediction using deep learning models: A case study of the Kien Giang River, Quang Binh Province
by: Trieu T. Hieu, et al.
Published: (2023-11-01) -
The generalized STAR modelling with three-dimensional of spatial weight matrix in predicting the Indonesia peatland’s water level
by: Utriweni Mukhaiyar, et al.
Published: (2024-10-01)