This study proposed a comprehensive approach that utilized PlanetScope imagery for classifying tropical-marine benthic habitats after retrieving bathymetry from ICESat-2 data and water-column correction areas around Lyson Islands, Vietnam. Exact derivation water column were applied to the imagery, making it an effective method mapping marine habitats. Water was achieved by applying Depth Invariant Index (DII) Bottom Reflectance (BRI). Moreover, two conventional machine learning algorithms,...

This study aims to assess the current drought situation in Ninh Thuan province, Vietnam, using remote sensing and GIS technology. Using Google Earth Engine cloud-based computing platform, authors calculated indices for province indicators extracted from MODIS satellite data, including Land Surface Temperature Normalized Difference Vegetation Index. Combined with tools, has developed a process calculating dry indicators: Condition Index, Health Subsequently, generated hazard map of based on...

Abstract This paper has developed a cost-efficient framework for flood vulnerability assessment at local scale using multi-parametric approach integrated with the Open Source Geographical Information System (GIS) and Remote Sensing data. The study focuses on generating set of criteria considering three dimensions vulnerability: exposure, sensitivity, adaptive capacity (AC) an index-based approach. These indicators were decided based robust analysis physical socio-economic conditions area....

Abstract Danang is a coastal city in the Central Region, VietNam which considered as sensitive area under high risks of natural disasters and climate change. Located downstream Vu Gia - Thu Bon river system, Da Nang often inundated flood season. Hoa Vang district most damaged region City due to its location topography. Assessing socio-economic vulnerability floods important management disaster risks, from that developing solutions mitigate damage caused by floods. This study develops...

Abstract This study implemented an index-based approach to monitor drought in the Vu Gia – Thu Bon river basin using remote sensing data and Google Earth Engine (GEE) cloud computing services. Landsat’s time-series are effectively used calculate various indices. In this investigation, we evaluated performance of sensing-based indices (RSDI) utilizing cloud-based platform. Results indicated that there was a significant correlation between RSDI in-situ Potential Evapotranspiration (PET) soil...

Abstract This study applied remote sensing methods combining GIS and machine learning (ML) in landslide assessment zonation for the western mountainous area of Nghe An province, Vietnam. Factors affecting susceptibility are analyzed included model including terrain elevation, slope, aspect, flow accumulation, geomorphology, profile curvature, Topographic Position Index (TPI), fault density, road rainfall land use. A field survey was conducted on July, 2023 to collect ground truth data areas...

Abstract The study utilized satellite imagery data including Landsat 7 and 9 combined with Google Earth Engine to classify evaluate the urban land cover for period from 2012 2022. Supervised classification based on random forest algorithm has been carried out cloud-computing platform map of Thuan An city, Binh Duong province, Vietnam. research findings provide a clear understanding dynamics in province during years Over this time period, area nearly doubled, increasing 2,793 hectares 5,059...

Abstract The objective of this research was to map the drought risk in Hoa Vang district, Da Nang city, and analyze variability events from 1991 2020 using remote sensing imagery. To achieve this, GIS methods were utilized gather information on land surface temperature Normalized Difference Vegetation Index (NDVI). study effectively employed Google Earth Engine which is a cloud-based computing platform image sequences Landsat 5 OLI sensors spanning period 2020. This analysis aimed extract...

: Hoa Vang district in Da Nang city, is frequently affected by floods. This research was conducted to generate a flood map District, City, during the peak flooding period 2022, using Sentinel 1 imagery on Google Earth Engine (GEE) cloud computing platform. The also aims assess impact of this event productivity agricultural land district. Based imagery's backscattering coefficient, study utilizes Otsu algorithm for thresholding determine inundated areas. results indicated that optimal...

ABSTRACT Monitoring the drought progression over time is a critical responsibility to identify changing trends of this phenomenon. This study aims assess hazard based on Standardized Precipitation Index (SPI) using satellite-derived precipitation combined with ground station data Google Earth Engine cloud computing platform. The employs Mann-Kendall test and Sen's slope method evaluate reliability SPI 1, 3, 6, 9, SPI12 indices. results show that values have highest reliability, 12/12 months...

Economic growth has dominated development strategies and goals for many years, but prosperity encompasses more than that. In 2013, UN-Habitat proposed the City Prosperity Initiative (CPI) as a tool to quantify cities' sustainable development. The CPI is accompanied by six essential components with 62 indicators associated urban settlement, incorporating productivity, infrastructure development, quality of life, social inclusion, environmental sustainability, governance legislation. research...

Abstract Coral reef ecosystems are under enormous pressure from human use and global climate change, particularly in the nearshore region. Cu Lao Cham Island its surrounding water is a highly biodiverse marine area, it home to 290 coral species together 370 of underwater plant life, nearly 280 fish species. Human activities like indiscriminate fishery excessive tourism have had great impact on these reefs. Thereby breaking structure ecosystems, leading decline number types aquatic products....

In order to create reliable DEM from limited altitude data, it is necessary effectively use the curved surface estimation method. One of methods available for estimating using data BS-Horizon (Nonogaki et al., 2012) which based on cubic B-spline and exterior penalty function. this study, parameter settings interpolation method were investigated. The experiments carried out field topographic survey as elevation constraint condition also incorporating inequality constraints contextual...

As water scarcity puts over 80% of the world’s population at risk, quality has become a major environmental topic. In particular, climate change jeopardised within Vietnamese Mekong Delta (VMD), key agronomic and aquaculture hub. A modest canal system small to medium-sized reservoirs in semi-mountain region An Giang province contribute less abundant supply tendency for deteriorate. The index method descriptive technique were used this study. results show that period 2017–2020, some...

The possibility of reservoir-triggered earthquake occurrence in the Huoi Quang and Ban Chat hydropower dam area has been assessed based on studying analyzing relationships between following factors: (1) types rocks underlying reservoir; (2) oscillating reservoir loads faults area; (3) incremental stress caused by loads; (4) slip tendency (5) Coulomb change area. results show that these factors have interactive effects simultaneously contribute to favorable conditions for occurrence....

Soil erosion is a naturally occurring process in mountainous areas that affects all landforms.Located Central of Vietnam, the tropical monsoon climate Da Nang City characterized by more than 70 percentage area with hilly and topography.This study objective apply Universal Loss Equation (ULSE) model developed Wischmeier Smith (1978) integrating remote sensing data Geographical Information System (GIS) tool to evaluate soil risk City, Vietnam.Rainfall erosivity (R), slope length-steepness...