Deep learning-based change detection in remote sensing images: A review
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …
development of remote sensing (RS) technology. These images significantly enhance the …
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
Assessing the contribution of urban green spaces in green infrastructure strategy planning for urban ecosystem conditions and services
OY Liu, A Russo - Sustainable Cities and Society, 2021 - Elsevier
Maintaining ecosystem services is a key adaption option towards sustainable cities and
adaptive societies in securing citizens' health and wellbeing. This research investigates the …
adaptive societies in securing citizens' health and wellbeing. This research investigates the …
Hyperspectral and lidar data applied to the urban land cover machine learning and neural-network-based classification: A review
Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …
for using machine learning algorithms to map urban environments. Both hyperspectral and …
Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species
C3 and C4 grass species discrimination has increasingly become relevant in understanding
their response to environmental changes and to monitor their integrity in providing goods …
their response to environmental changes and to monitor their integrity in providing goods …
Comparative assessment of pixel and object-based approaches for mapping of olive tree crowns based on UAV multispectral imagery
Pixel-based (PB) and geographic-object-based (GEOBIA) classification approaches allow
the extraction of different objects from multispectral images (MS). The primary goal of this …
the extraction of different objects from multispectral images (MS). The primary goal of this …
Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis
Remote sensing data and techniques are reliable tools for monitoring and studying urban
land cover and land use (LCLU) change. Fine spatial resolution (FRes) commercial satellite …
land cover and land use (LCLU) change. Fine spatial resolution (FRes) commercial satellite …
Spatiotemporal influence of land use/land cover change dynamics on surface urban heat island: A case study of Abuja metropolis, Nigeria
Rapid urbanization in cities and urban centers has recently contributed to notable land
use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this …
use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this …
Mapping urban construction sites in China through geospatial data fusion: Methods and applications
The rapid increase in Urban Construction Sites (UCSs) due to urbanization has become a
global trend. UCSs are crucial for timely tracking of urban expansion and renewal progress …
global trend. UCSs are crucial for timely tracking of urban expansion and renewal progress …