Sentinel-2 data for land cover/use map**: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
Prediction of soil organic carbon and the C: N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and …
T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan… - Science of the Total …, 2021 - Elsevier
Soil organic carbon (SOC) and soil carbon-to-nitrogen ratio (C: N) are the main indicators of
soil quality and health and play an important role in maintaining soil quality. Together with …
soil quality and health and play an important role in maintaining soil quality. Together with …
An overview of groundwater monitoring through point-to satellite-based techniques
Groundwater supplies approximately half of the total global domestic water demand. It also
complements the seasonal and annual variabilities of surface water. Monitoring of …
complements the seasonal and annual variabilities of surface water. Monitoring of …
Impact of texture information on crop classification with machine learning and UAV images
Unmanned aerial vehicle (UAV) images that can provide thematic information at much
higher spatial and temporal resolutions than satellite images have great potential in crop …
higher spatial and temporal resolutions than satellite images have great potential in crop …
[HTML][HTML] Improving urban land cover classification with combined use of sentinel-2 and sentinel-1 imagery
Accurate land cover map** is important for urban planning and management. Remote
sensing data have been widely applied for urban land cover map**. However, obtaining …
sensing data have been widely applied for urban land cover map**. However, obtaining …
Evaluation of Sentinel-1 and 2 time series for land cover classification of forest–agriculture mosaics in temperate and tropical landscapes
Monitoring forest–agriculture mosaics is crucial for understanding landscape heterogeneity
and managing biodiversity. Map** these mosaics from remotely sensed imagery remains …
and managing biodiversity. Map** these mosaics from remotely sensed imagery remains …
Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data
Tropical forest ecosystems are undergoing rapid transformation as a result of changing
environmental conditions and direct human impacts. However, we cannot adequately …
environmental conditions and direct human impacts. However, we cannot adequately …
Intensity and stationarity analysis of land use change based on CART algorithm
X Sang, Q Guo, X Wu, Y Fu, T **e, C He, J Zang - Scientific reports, 2019 - nature.com
Land use directly reflects degree of human development and utilization of land. Intensity
analysis of land use is a quantitative method to analyze land use changes. In this paper …
analysis of land use is a quantitative method to analyze land use changes. In this paper …
Design of a hyperspectral imager using COTS optics for small satellite applications
EF Prentice, ME Grøtte, F Sigernes… - … Conference on Space …, 2021 - spiedigitallibrary.org
This paper describes the design of a pushbroom hyperspectral imager built for small satellite
applications. Its design allows for low weight, low cost, and flexible configuration making it …
applications. Its design allows for low weight, low cost, and flexible configuration making it …
[HTML][HTML] EnMAP-Box: Imaging spectroscopy in QGIS
Satellite missions like EnMAP and PRISMA generate raster images that describe the Earth's
environment with hyperspectral resolution. Such imaging spectroscopy data is of high value …
environment with hyperspectral resolution. Such imaging spectroscopy data is of high value …