[HTML][HTML] An overview of remote sensing data applications in peatland research based on works from the period 2010–2021
S Czapiewski, D Szumińska - Land, 2021 - mdpi.com
In the 21st century, remote sensing (RS) has become increasingly employed in many
environmental studies. This paper constitutes an overview of works utilising RS methods in …
environmental studies. This paper constitutes an overview of works utilising RS methods in …
[HTML][HTML] The least square adjustment for estimating the tropical peat depth using LiDAR data
BK Cahyono, T Aditya, Istarno - Remote Sensing, 2020 - mdpi.com
High-accuracy peat maps are essential for peatland restoration management, but costly,
labor-intensive, and require an extensive amount of peat drilling data. This study offers a …
labor-intensive, and require an extensive amount of peat drilling data. This study offers a …
[HTML][HTML] Assessments of Underground Carbon Stocks in Merang-Kepahyang Peatlands, South Sumatra, Indonesia
Indonesia has 673 peat hydrological units (PHUs) covering more than 26.5 million hectares,
of which approximately 70% are located on the Kalimantan and Sumatra Islands. Merang …
of which approximately 70% are located on the Kalimantan and Sumatra Islands. Merang …
[HTML][HTML] The Determination of Priority Areas for the Restoration of Degraded Tropical Peatland Using Hydrological, Topographical, and Remote Sensing Approaches
BK Cahyono, T Aditya, Istarno - Land, 2022 - mdpi.com
Degraded peatland is caused by forest clearing and the construction of artificial water
networks. When water management is not implemented across land uses in the entire …
networks. When water management is not implemented across land uses in the entire …
Land cover change in Badung Regency 2016-2020: An approach using machine learning method: Random Forest & Extreme Gradient Boost (XGB)
Badung Regency is one area that mostly suffered from Covid-19 pandemic. Their gross
regional domestic product has decreased 21.5% from 2019 to 2020 because of …
regional domestic product has decreased 21.5% from 2019 to 2020 because of …
Peat Depth Prediction System Using Long-Term MODIS Data And Random Forest Algorithm: A Case Study in Pulang Pisau, Kalimantan
M Fadhurrahman, AH Saputro - 2022 1st International …, 2022 - ieeexplore.ieee.org
Peatlands have an important role as global climate regulators because they store global
amounts of carbon which, if degraded, will result in increased concentrations of greenhouse …
amounts of carbon which, if degraded, will result in increased concentrations of greenhouse …
[PDF][PDF] Szumi nska, D. An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021. Land 2022, 11, 24
S Czapiewski - 2021 - academia.edu
In the 21st century, remote sensing (RS) has become increasingly employed in many
environmental studies. This paper constitutes an overview of works utilising RS methods in …
environmental studies. This paper constitutes an overview of works utilising RS methods in …