The politics of pixels: A review and agenda for critical remote sensing

MM Bennett, JK Chen… - Progress in Human …, 2022 - journals.sagepub.com
We offer a review and research agenda for critical remote sensing, defined as inquiries and
scientific practices cognizant of the embedding of power within the production, analysis, and …

From solidarity to resistance: host communities' evolving response to the Rohingya refugees in Bangladesh

A Ansar, AF Md. Khaled - Journal of International Humanitarian Action, 2021 - Springer
Bangladesh sets an admirable example of solidarity with the Rohingya refugees from
Myanmar by hosting more than a million Rohingyas despite its resource constraints …

[HTML][HTML] The COVID-19 pandemic: a threat to forest and wildlife conservation in Bangladesh?

MS Rahman, MA Alam, S Salekin, MAH Belal… - Trees, Forests and …, 2021 - Elsevier
The global pandemic due to COVID-19 (SARS-COV-2) has brought significant disruption to
society and the environment. In this study, evidence from newspapers, social media, remote …

The humanitarian–development–peace Nexus in practice: building climate and conflict sensitivity into humanitarian projects

SF Joireman, F Haddad - Current Opinion in Environmental Sustainability, 2023 - Elsevier
The concept of the Humanitarian–Development–Peace (HDP) Nexus, also known as the
Triple Nexus, developed in response to 21st century realities of climate change, protracted …

Satellite analysis of the environmental impacts of armed-conflict in Rakhine, Myanmar

TS Aung - Science of the Total Environment, 2021 - Elsevier
The impacts of armed conflict on the environment are extremely complex and difficult to
investigate, given the impossibility of accessing the affected area and reliable data limitation …

Spatiotemporal pattern of forest degradation and loss of ecosystem function associated with Rohingya influx: A geospatial approach

ME Hasan, L Zhang, A Dewan, H Guo… - Land Degradation & …, 2021 - Wiley Online Library
Abstract Violence in Rakhine State of Myanmar forcibly displaced nearly one million
Rohingya. They took refuge, from August 25, 2017 to the time of writing, in Cox's Bazar …

War and deforestation: using remote sensing and machine learning to identify the war-induced deforestation in Syria 2010–2019

A Daiyoub, P Gelabert, S Saura-Mas, C Vega-Garcia - Land, 2023 - mdpi.com
Armed conflicts and other types of violence are key drivers of human-induced landscape
change. Since March 2011, Syria has been embroiled in a prolonged and devastating …

Shoreline dynamics in East Java Province, Indonesia, from 2000 to 2019 using multi-sensor remote sensing data

S Arjasakusuma, SS Kusuma, S Saringatin… - Land, 2021 - mdpi.com
Coastal regions are one of the most vulnerable areas to the effects of global warming, which
is accompanied by an increase in mean sea level and changing shoreline configurations. In …

Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure

N Ahmed, A Firoze, RM Rahman - Journal of Information and …, 2020 - Taylor & Francis
Since the dawn of human civilization, forced migration scenarios have been witnessed in
different regions and populations, and is still present in the twenty-first century. The current …

Assessment of machine learning algorithms for land cover classification in a complex mountainous landscape

G Amin, I Imtiaz, E Haroon, MI Shahzad… - … of Geovisualization and …, 2024 - Springer
Mapping land cover (LC) in mountainous regions, such as the Gilgit-Baltistan (GB) area of
Pakistan, presents significant challenges due to complex terrain, limited data availability …