[HTML][HTML] WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping

A Jamali, SK Roy, P Ghamisi - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Abstract The Ramsar Convention of 1971 encourages wetland preservation, but it is unclear
how climate change will affect wetland extent and related biodiversity. Due to the use of the …

Opportunities and challenges of Spaceborne sensors in delineating land surface temperature trends: A review

MR Ahmed, E Ghaderpour, A Gupta… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Understanding the land surface temperature (LST) trends is crucial for policymakers and
stakeholders to develop adaptation and mitigation strategies suitable for a sustainable …

Gridded livestock density database and spatial trends for Kazakhstan

V Kolluru, R John, S Saraf, J Chen, B Hankerson… - Scientific Data, 2023 - nature.com
Livestock rearing is a major source of livelihood for food and income in dryland Asia.
Increasing livestock density (LSKD) affects ecosystem structure and function, amplifies the …

Assessing spatiotemporal dynamics of land surface temperature and satellite-derived indices for new town development and suburbanization planning

S Ghosh, D Kumar, R Kumari - Urban Governance, 2022 - Elsevier
Pervasive development across the country has resulted in unprecedented urbanization with
a phenomenal change to the urban landscape. This rapid expansion of cities has generated …

[HTML][HTML] Automatic mapping of burned areas using Landsat 8 time-series images in Google Earth engine: A case study from Iran

H Gholamrezaie, M Hasanlou, M Amani… - Remote Sensing, 2022 - mdpi.com
Due to the natural conditions and inappropriate management responses, large part of plains
and forests in Iran have been burned in recent years. Given the increasing availability of …

Recent trends of land surface temperature in relation to the influencing factors using Google Earth Engine platform and time series products in megacities of India

D Bera, ND Chatterjee, S Ghosh, S Dinda… - Journal of Cleaner …, 2022 - Elsevier
Increasing land surface temperature (LST) is one of the significant anthropogenic issues that
is threatening livelihoods in urban areas. Understanding the urban LST is essential for …

Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within google Earth engine

S Mehravar, M Amani, A Moghimi, FD Javan… - Advances in space …, 2021 - Elsevier
Remote Sensing (RS) offers efficient tools for drought monitoring, especially in countries
with a lack of reliable and consistent in-situ multi-temporal datasets. In this study, a novel RS …

Assessing spatiotemporal variations in land surface temperature and SUHI intensity with a cloud based computational system over five major cities of India

S Ghosh, D Kumar, R Kumari - Sustainable Cities and Society, 2022 - Elsevier
The surface urban heat island (SUHI) is one of the most evident climate phenomena in low-
and mid-latitude cities. Extensive growth and intense urbanization has brought a …

Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system

M Mhawej, Y Abunnasr - Computers & Geosciences, 2022 - Elsevier
In remote sensing applications, data fusion is a combination of satellite images from different
sources, aimed to improve the spatial and/or temporal resolution of the final output. This …

National Scale Land Cover Classification Using the Semiautomatic High-Quality Reference Sample Generation (HRSG) Method and an Adaptive Supervised …

A Naboureh, A Li, J Bian, G Lei - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The advent of new high-performance cloud computing platforms [eg, Google Earth Engine
(GEE)] and freely available satellite data provides a great opportunity for land cover (LC) …