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 …
Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
Map** and monitoring of land use land cover (LULC) changes in the Himalayas is vital for
sustainable development, planning and management. Based on remote sensing (RS) and …
sustainable development, planning and management. Based on remote sensing (RS) and …
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
Abstract In 2007, the NASA Hyperspectral InfraRed Imager (HyspIRI) mission was
recommended in Earth Science and Applications from Space: National Imperatives for the …
recommended in Earth Science and Applications from Space: National Imperatives for the …
Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
Classification is a fundamental process in remote sensing used to relate pixel values to land
cover classes present on the surface. Over large areas land cover classification is …
cover classes present on the surface. Over large areas land cover classification is …
Monitoring land changes in an urban area using satellite imagery, GIS and landscape metrics
T Liu, X Yang - Applied geography, 2015 - Elsevier
Monitoring land changes is an important activity in landscape planning and resource
management. In this study, we analyze urban land changes in Atlanta metropolitan area …
management. In this study, we analyze urban land changes in Atlanta metropolitan area …
Enhanced built-up and bareness index (EBBI) for map** built-up and bare land in an urban area
Remotely sensed imagery is a type of data that is compatible with the monitoring and
map** of changes in built-up and bare land within urban areas as the impacts of …
map** of changes in built-up and bare land within urban areas as the impacts of …
The role of spatial metrics in the analysis and modeling of urban land use change
The paper explores a framework combining remote sensing and spatial metrics aimed at
improving the analysis and modeling of urban growth and land use change. While remote …
improving the analysis and modeling of urban growth and land use change. While remote …
Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
In this paper, we evaluate the capability of the high spatial resolution airborne Digital
Airborne Imaging System (DAIS) imagery for detailed vegetation classification at the alliance …
Airborne Imaging System (DAIS) imagery for detailed vegetation classification at the alliance …
Landsat continuity: Issues and opportunities for land cover monitoring
Initiated in 1972, the Landsat program has provided a continuous record of earth
observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal …
observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal …