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Spectral variability in hyperspectral data unmixing: A comprehensive review
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
Land use and land cover map** using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …
information for dynamic monitoring, planning, and management of the Earth. With the advent …
Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform
The amount of impervious surface is an important indicator in the monitoring of the intensity
of human activity and environmental change. The use of remote sensing techniques is the …
of human activity and environmental change. The use of remote sensing techniques is the …
[HTML][HTML] Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring
Monitoring the Earth by annually map** land cover (LC) fractions helps to better
understand the ongoing processes and changes of land use and land management. At 10 to …
understand the ongoing processes and changes of land use and land management. At 10 to …
[HTML][HTML] Unmixing-based forest recovery indicators for predicting long-term recovery success
Recovery from forest disturbances is a pivotal metric of forest resilience. Forests globally are
facing unprecedented levels of both natural and anthropogenic disturbances, yet our …
facing unprecedented levels of both natural and anthropogenic disturbances, yet our …
[HTML][HTML] Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic
Warming induced shifts in tundra vegetation composition and structure, including
circumpolar expansion of shrubs, modifies ecosystem structure and functioning with …
circumpolar expansion of shrubs, modifies ecosystem structure and functioning with …
[HTML][HTML] Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series
Severe droughts caused unprecedented impacts on grasslands in Central Europe in 2018
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …
[HTML][HTML] Map** urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with …
The increasing impact of humans on land and ongoing global population growth requires an
improved understanding of land cover (LC) and land use (LU) processes related to …
improved understanding of land cover (LC) and land use (LU) processes related to …
Detecting subpixel human settlements in mountains using deep learning: A case of the Hindu Kush Himalaya 1990–2020
The majority of future population growth in mountains will occur in small-and medium-sized
cities and towns and affect vulnerable ecosystems. However, mountain settlements are often …
cities and towns and affect vulnerable ecosystems. However, mountain settlements are often …