A review of the application of optical and radar remote sensing data fusion to land use map** and monitoring
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …
efforts towards accurately determining land use and quantifying subtle changes in land use …
Understanding an urbanizing planet: Strategic directions for remote sensing
Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …
advanced our understanding of urban areas. Key contributions of urban remote sensing …
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …
still lack a global land-cover map with a fine classification system and spatial resolution …
Deep learning-based classification of hyperspectral data
Classification is one of the most popular topics in hyperspectral remote sensing. In the last
two decades, a huge number of methods were proposed to deal with the hyperspectral data …
two decades, a huge number of methods were proposed to deal with the hyperspectral data …
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
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 …
Spectral–spatial classification of hyperspectral data based on deep belief network
Hyperspectral data classification is a hot topic in remote sensing community. In recent years,
significant effort has been focused on this issue. However, most of the methods extract the …
significant effort has been focused on this issue. However, most of the methods extract the …
Continuous change detection and classification of land cover using all available Landsat data
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …
using all available Landsat data is developed. It is capable of detecting many kinds of land …
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 …
Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats
Monitoring protected areas and their surrounds at local to regional scales is essential given
their vulnerability to anthropogenic pressures, including those associated with climatic …
their vulnerability to anthropogenic pressures, including those associated with climatic …