Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework
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)
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 …
Develo** 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 …
[PDF][PDF] Machine learning applied to sentinel-2 and landsat-8 multispectral and medium-resolution satellite imagery for the detection of rice production areas in Nganjuk …
Statistics Indonesia (BPS) has been introducing the use of Area Sampling Frame (ASF)
surveys from 2018 to estimate rice production areas, although the process continues to …
surveys from 2018 to estimate rice production areas, although the process continues to …
Multi-source satellite imagery and point of interest data for poverty map** 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 …
Machine Learning-Based Rice Field Map** in Kulon Progo using a Fusion of Multispectral and SAR Imageries
The land-conversion of rice fields can reduce rice production and negatively impact food
security. Consequently, monitoring is essential to prevent the loss of productive agricultural …
security. Consequently, monitoring is essential to prevent the loss of productive agricultural …
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 …
Maize field area detection in East Java, Indonesia: An integrated multispectral remote sensing and machine learning approach
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 …
Spatially granular poverty index (SGPI) for urban poverty map** 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 develo** countries. The currently available …
the urban poverty alleviation targets in many develo** countries. The currently available …
Using Remote Sensing and Climate Data to Map the Extent and Severity of Balsam Woolly Adelgid Infestation in Northern Utah, USA
Balsam woolly adelgid (Hemiptera: Adelges picea Ratzeburg; BWA) is a nonnative, invasive
insect that has infested fir trees in the US for over a century, yet robust methods for map** …
insect that has infested fir trees in the US for over a century, yet robust methods for map** …