A review of earth observation-based drought studies in Southeast Asia

TV Ha, J Huth, F Bachofer, C Kuenzer - Remote sensing, 2022 - mdpi.com
Drought is a recurring natural climatic hazard event over terrestrial land; it poses devastating
threats to human health, the economy, and the environment. Given the increasing climate …

Remote sensing and GIS application for monitoring drought vulnerability in Indonesia: a review

KIN Rahmi, M Dimyati - Bulletin of Electrical Engineering and Informatics, 2021 - beei.org
Agricultural drought is one of the hydrometeorological disasters that cause significant losses
because it affects food stocks. In addition, agricultural droughts, impact the physical and …

Klasifikasi Wilayah Potensi Risiko Kerusakan Lahan Akibat Bencana Tsunami Menggunakan Machine Learning

AY Isnaeni, SYJ Prasetyo - Jurnal Teknik Informatika Dan …, 2022 - journal.maranatha.edu
Indonesia is an archipelagic country with a long coastline where some areas are prone to
tsunami waves which can result in land damage. Tsunamis occur due to earthquakes or …

Measuring climate action readiness in maintaining ecological resilience using satellite imagery and field research in Garang Watershed, Central Java, Indonesia

B SUDARMANTO, S SURANTO, S SUNTORO… - Biodiversitas Journal of …, 2023 - smujo.id
Sudarmanto B, Suranto S, Suntoro S, Sutrisno J. 2023. Measuring climate action readiness
in maintaining ecological resilience using satellite imagery and field research in Garang …

[HTML][HTML] Vegetation indices' spatial prediction based novel algorithm for determining tsunami risk areas and risk values

KD Hartomo, Y Nataliani, ZA Hasibuan - PeerJ Computer Science, 2022 - peerj.com
This paper aims to propose a new algorithm to detect tsunami risk areas based on spatial
modeling of vegetation indices and a prediction model to calculate the tsunami risk value. It …

[PDF][PDF] Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

FA Zulkifle, R Hassan, MN Ahmad, S Kasim… - Indonesian Journal of …, 2021 - academia.edu
Recently, many researchers have directed their attention to methods of predicting shorelines
by the use of multispectral images. Thus, a simple and optimised method using image …

Identification of Land Fire Risk Areas with Random Forest Using Landsat Image Data 8 OLI

GUER Radandima - International Journal of Natural …, 2022 - ejournal.undiksha.ac.id
Land fire is a complex and serious problem affecting several human life sectors. Stimulating
the occurrence of land fires caused by long dry seasons and erratic rainy seasons causes …

Assessment of Agricultural Drought Using the Normalized Difference Drought Index (NDDI) to Prediction Drought at Corong River Basin

NA Affandy, D Iranata, N Anwar… - International …, 2024 - publisher.uthm.edu.my
As a complex and widespread natural phenomenon, drought poses a significant threat to the
agricultural sector, especially in developing countries, resulting in significant economic …

Redesigning U-Net with dense connection and attention module for satellite based cloud detection

A Kumthekar, GR Reddy - IAES International Journal of …, 2022 - search.proquest.com
In this paper, we present an upgraded U-Net technique for satellite-based cloud detection,
with additional features, such as, more relevant spatial information, improvement in gradient …

Penerapan Algoritma Random Forest dalam Menganalisa Perubahan Suhu Permukaan Wilayah Kota Salatiga

T Mahesti, KD Hartomo… - JURNAL MEDIA …, 2022 - stmik-budidarma.ac.id
The population increase in Salatiga city is growing rapidly from 2010 to 2020. This change
affects the area with vegetation cover, increasing building density and increasing land …