[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
[HTML][HTML] Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions
Satellite time series with high spatial resolution is critical for monitoring land surface
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
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 …
[HTML][HTML] Sentinel-2 cropland map** using pixel-based and object-based time-weighted dynamic time war** analysis
Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …
implementation of sustainable agricultural practices and for monitoring crops periodically …
Land cover 2.0
Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …
A flexible spatiotemporal method for fusing satellite images with different resolutions
Studies of land surface dynamics in heterogeneous landscapes often require remote
sensing data with high acquisition frequency and high spatial resolution. However, no single …
sensing data with high acquisition frequency and high spatial resolution. However, no single …
Bibliometric analysis of global NDVI research trends from 1985 to 2021
Y Xu, Y Yang, X Chen, Y Liu - Remote Sensing, 2022 - mdpi.com
As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …
(NDVI) has been employed extensively for vegetation research. However, despite an …
Evaluating combinations of temporally aggregated Sentinel-1, Sentinel-2 and Landsat 8 for land cover map** with Google Earth Engine
Land cover map** of large areas is challenging due to the significant volume of satellite
data to acquire and process, as well as the lack of spatial continuity due to cloud cover …
data to acquire and process, as well as the lack of spatial continuity due to cloud cover …
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring
Free and open access to the Landsat archive has enabled the implementation of national
and global terrestrial monitoring projects. Herein, we summarize a project characterizing the …
and global terrestrial monitoring projects. Herein, we summarize a project characterizing the …
Map** pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
This study analyzed, for the first time, the potential of combining the large European-wide
land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for map** …
land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for map** …