Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework
W Nurkarim, AW Wijayanto - Earth Science Informatics, 2023 - Springer
Building footprints are the most visible features in urban areas. Detecting building footprint
has a substantial position in decision-making problems such as city planning and …
has a substantial position in decision-making problems such as city planning and …
Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia)
N Afira, AW Wijayanto - Ecological Informatics, 2022 - Elsevier
Accurate and up-to-date information about the burnt area is important in estimating
environmental losses, prioritizing rehabilitation areas, and determining future planning …
environmental losses, prioritizing rehabilitation areas, and determining future planning …
Developing relative spatial poverty index using integrated remote sensing and geospatial big data approach: A case study of east java, Indonesia
Poverty data are usually collected through on-the-ground household-based socioeconomic
surveys. Unfortunately, data collection with such conventional methods is expensive …
surveys. Unfortunately, data collection with such conventional methods is expensive …
Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning
YC Putra, AW Wijayanto - Remote Sensing Applications: Society and …, 2023 - Elsevier
Palm oil is one of the world's highest vegetable oil producers. Providing accurate oil palm
plantation statistics is essential to supporting effective and efficient decision-making …
plantation statistics is essential to supporting effective and efficient decision-making …
Multi-source satellite imagery and point of interest data for poverty mapping in East Java, Indonesia: Machine learning and deep learning approaches
This study proposes a novel approach to provide a more granular poverty map in terms of
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image …
Palm oil is one of the highest producing vegetable oil crops globally, with production
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
Machine learning approaches using satellite data for oil palm area detection in Pekanbaru City, Riau
AW Wijayanto, N Afira… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Palm oil is a commodity that plays an important role in economic activity. The oil palm tree is
capable of producing palm oil and is the most widely consumed vegetable oil in the world …
capable of producing palm oil and is the most widely consumed vegetable oil in the world …
Maize field area detection in East Java, Indonesia: An integrated multispectral remote sensing and machine learning approach
AW Wijayanto, DW Triscowati… - 2020 12th …, 2020 - ieeexplore.ieee.org
An accurate and high quality of agricultural monitoring and statistics commonly requires a
huge amount of resources in terms of human, cost, and time. In this paper, we introduce a …
huge amount of resources in terms of human, cost, and time. In this paper, we introduce a …
Learning Bayesian network for rainfall prediction modeling in urban area using remote sensing satellite data (case study: Jakarta, Indonesia)
SR Putri, AW Wijayanto - Proceedings of The International …, 2021 - proceedings.stis.ac.id
Rainfall modeling is one of the most critical factors in agricultural monitoring and statistics,
transportation schedules, and urban flood prevention. Weather anomaly during the dry …
transportation schedules, and urban flood prevention. Weather anomaly during the dry …
Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data …
Accurate and comprehensive urban poverty monitoring is undoubtedly essential to support
the urban poverty alleviation targets in many developing countries. The currently available …
the urban poverty alleviation targets in many developing countries. The currently available …