[HTML][HTML] Fifty years of Landsat science and impacts
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
Toward a better understanding of coastal salt marsh mapping: A case from China using dual-temporal images
Coastal salt marshes suffering from anthropogenic coastal development and sea level rise
have attracted much attention because of their capacity for carbon sequestration and global …
have attracted much attention because of their capacity for carbon sequestration and global …
[HTML][HTML] The 50-year Landsat collection 2 archive
The Landsat global consolidated data archive now exceeds 50 years. In recognition of the
need for consistently processed data across the Landsat satellite series, the US Geological …
need for consistently processed data across the Landsat satellite series, the US Geological …
[HTML][HTML] A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Satellite remote sensing of chlorophyll-a concentration (chla) in oligotrophic and
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
mesotrophic lakes faces uncertainties from sources such as atmospheric correction …
[HTML][HTML] Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019–a quantitative evaluation
The Landsat archive is one of the richest Earth observation datasets available and provides
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
[HTML][HTML] A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
Cloud detection is a crucial step in the optical satellite image processing pipeline for Earth
observation. Clouds in optical remote sensing images seriously affect the visibility of the …
observation. Clouds in optical remote sensing images seriously affect the visibility of the …
[HTML][HTML] Snow depth estimation at country-scale with high spatial and temporal resolution
Monitoring snow depth is important for applications such as hydrology, energy planning,
ecology, and safety evaluation for outdoor winter activities. Most methods able to estimate …
ecology, and safety evaluation for outdoor winter activities. Most methods able to estimate …
Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA)
Black-box algorithms are among the dominant mangrove mapping approaches with
complex decision-making procedures. Model internals and tacit knowledge were neglected …
complex decision-making procedures. Model internals and tacit knowledge were neglected …
UnCRtainTS: Uncertainty quantification for cloud removal in optical satellite time series
Clouds and haze often occlude optical satellite images, hindering continuous, dense
monitoring of the Earth's surface. Although modern deep learning methods can implicitly …
monitoring of the Earth's surface. Although modern deep learning methods can implicitly …
Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Over large areas, land cover classification has conventionally been undertaken using
satellite time series. Typically temporal metric percentiles derived from single pixel location …
satellite time series. Typically temporal metric percentiles derived from single pixel location …