Mr. Udhi Catur Nugroho Profile

Udhi Catur Nugroho

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 29 January 2024 Paper

Enhancement of fire danger rating system for a better land/forest fire warning in South Sumatera Province, Indonesia

Muhammad Rokhis Khomarudin, Orbita Roswintiarti, Indah Prasasti, Tatik Kartika, Udhi Catur Nugroho, Kholifatul Aziz, Virgilius Rivan Seran

Proceedings Volume 12977, 129771T (2024) https://doi.org/10.1117/12.3009541

KEYWORDS: Forest fires, Land cover, Soil moisture, Forestry, Data modeling, Agriculture, Vegetation, Polarization, Rain, Moisture

Read Abstract +

Forest Fire Danger Rating System (FDRS) developed in Indonesia is based on the Canadian Forest Fires Danger Rating System. The Meteorology, Climatology, and Geophysics Agency operates and publishes a daily Fire Weather Index system on its website as part of the FDRS. The so-called SPARTAN system is based on weather elements of rainfall, air temperature, wind speed, and humidity and does not consider soil conditions. This research aims to improve the Fire Weather Index system by adding information on land conditions. In this study, the area of interest was South Sumatera Province of Indonesia and the period of analysis was 2019. The normalized difference polarization index (NDPI) derived from the Synthetic Aperture Radar (SAR) data of the Sentinel-1 satellite and land cover changes and fire incidents derived from the optical data of the Sentinel-2 satellite are used to represent land conditions. Since NDPI shows a good correlation with the degree of soil moisture, the NDPI is considered for the soil moisture conditions. Furthermore, integrating soil moisture conditions and land cover changes into the FWI system provides better early warning information for land/forest fires. Fire hotspot data and in-situ fire information are used to validate the results. This study concludes that adding information on land conditions will provide detailed and better land/forest fire warnings.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years