[HTML][HTML] Integrating machine learning and remote sensing in disaster management: A decadal review of post-disaster building damage assessment

S Al Shafian, D Hu - Buildings, 2024 - mdpi.com
Natural disasters pose significant threats to human life and property, exacerbated by their
sudden onset and increasing frequency. This paper conducts a comprehensive bibliometric …

A review of remote sensing applications in agriculture and forestry to establish big data analytics

ST Arab, MM Islam, M Shamsuzzoha, KF Alam… - … regional perspectives in …, 2022 - Springer
The advancement of remote sensing provides a new opportunity for a data analytical
platform for robust decision-making based on near real-time datasets derived from satellites …

Damaged area assessment of cultivated agricultural lands affected by cyclone bulbul in coastal region of Bangladesh using Landsat 8 OLI and TIRS datasets

M Shamsuzzoha, R Noguchi, T Ahamed - Remote Sensing Applications …, 2021 - Elsevier
Tropical cyclones cause tremendous damage to agricultural lands in global south countries
almost every year. It is significantly important to identify the damage assessment for rice …

High-resolution synthetic population mapping for quantifying disparities in disaster impacts: An application in the Bangladesh coastal zone

S Rubinyi, J Verschuur, R Goldblatt… - Frontiers in …, 2022 - frontiersin.org
The impacts of natural disasters are often disproportionally borne by poor or otherwise
marginalized groups. However, while disaster risk modelling studies have made progress in …

[HTML][HTML] On Unsupervised Multiclass Change Detection Using Dual-Polarimetric SAR Data

M Kim, SJ Lee, SE Park - Remote Sensing, 2024 - mdpi.com
Change detection using SAR data has been an active topic in various applications. Because
conventional change detection identifies signal changes in single-pol radar observations …

Assessing the performance of multi-resolution satellite SAR images for post-earthquake damage detection and mapping aimed at emergency response management

P Mazzanti, S Scancella, M Virelli, S Frittelli… - Remote Sensing, 2022 - mdpi.com
The increasing availability of satellite Synthetic Aperture Radar (SAR) images is opening
new opportunities for operational support to predictive maintenance and emergency actions …

Evolution of multidimensional poverty in crisis-ridden Mozambique

EM Egger, V Salvucci, F Tarp - Social Indicators Research, 2023 - Springer
Mozambique experienced important reductions in the poverty rate until recently, before two
major natural disasters hit, an armed insurgency stroke in the northern province of Cabo …

An Earth Observation Framework in Service of the Sendai Framework for Disaster Risk Reduction 2015–2030

B Li, A Gong, L Liu, J Li, J Li, L Li, X Pan… - … International Journal of …, 2023 - mdpi.com
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) proposed seven
targets comprising 38 quantified indicators and various sub-indicators to monitor the …

Coseismic Ground Displacement after the Mw6.2 Earthquake in NW Croatia Determined from Sentinel-1 and GNSS CORS Data

O Bjelotomić Oršulić, D Markovinović, M Varga, T Bašić - Geosciences, 2021 - mdpi.com
At the very end of the year 2020, on 29 December, a hazardous earthquake of M w= 6.2 hit
the area of Petrinja and its surroundings, in the NW of Croatia. The earthquake was felt …

Encouraging micro-enterprises to prepare for disasters: A socio-psychological and information-provision analysis for the case of Mozambique

H Berkel, F Tarp - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Worldwide, enterprises are affected by disasters such as cyclones and floods. Despite these
negative impacts, many do not prepare for future disasters. Research on pro-environmental …