Pixel level fusion techniques for SAR and optical images: A review

SC Kulkarni, PP Rege - Information Fusion, 2020 - Elsevier
Image Fusion is a process of combining two or more images into a single image which is
more informative and hence more useful from an interpretation point of view. With the rapid …

[HTML][HTML] National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series

D Frantz, F Schug, A Okujeni, C Navacchi… - Remote Sensing of …, 2021 - Elsevier
Urban areas and their vertical characteristics have a manifold and far-reaching impact on
our environment. However, openly accessible information at high spatial resolution is still …

The use of remotely sensed environmental data in the study of malaria

V Machault, C Vignolles, F Borchi… - Geospatial …, 2011 - geospatialhealth.net
Mapping and anticipating risk is a major issue in the fight against malaria, a disease causing
an estimated one million deaths each year. Approximately half the world's population is at …

Integration of sentinel-1 and sentinel-2 for classification and LULC mapping in the urban area of Belém, eastern Brazilian Amazon

PA Tavares, NES Beltrão, US Guimarães, AC Teodoro - Sensors, 2019 - mdpi.com
In tropical regions, such as in the Amazon, the use of optical sensors is limited by high cloud
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …

Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine

O Stromann, A Nascetti, O Yousif, Y Ban - Remote Sensing, 2019 - mdpi.com
Mapping Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …

Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data

Z Zhu, CE Woodcock, J Rogan, J Kellndorfer - Remote Sensing of …, 2012 - Elsevier
Urban and peri-urban environments are composed of a wide variety of materials, making
land cover classification challenging. The objective of this research is to determine how …

Detecting change in urban areas at continental scales with MODIS data

CM Mertes, A Schneider, D Sulla-Menashe… - Remote Sensing of …, 2015 - Elsevier
Urbanization is one of the most important components of global environmental change, yet
most of what we know about urban areas is at the local scale. Remote sensing of urban …

Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights

X Huang, A Schneider, MA Friedl - Remote Sensing of Environment, 2016 - Elsevier
Urbanization accelerated rapidly in China during the first decade of the 21st century, largely
at the expense of agricultural lands. To improve available regional information related to the …

Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

C Corbane, M Pesaresi, P Politis, V Syrris… - Big Earth …, 2017 - Taylor & Francis
Continuous global-scale mapping of human settlements in the service of international
agreements calls for massive volume of multi-source, multi-temporal, and multi-scale earth …

Impervious surfaces mapping at city scale by fusion of radar and optical data through a random forest classifier

B Shrestha, H Stephen, S Ahmad - Remote Sensing, 2021 - mdpi.com
Urbanization increases the amount of impervious surfaces, making accurate information on
spatial and temporal expansion trends essential; the challenge is to develop a cost-and …