Measuring, modelling and managing gully erosion at large scales: A state of the art
Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …
formation and expansion of gullies is often a highly significant process of soil erosion …
A systematic review of landsat data for change detection applications: 50 years of monitoring the earth
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …
systematic monitoring of the Earth's surface, enabled by an extensive and free …
From white to green: Snow cover loss and increased vegetation productivity in the European Alps
Mountains are hotspots of biodiversity and ecosystem services, but they are warming about
twice as fast as the global average. Climate change may reduce alpine snow cover and …
twice as fast as the global average. Climate change may reduce alpine snow cover and …
Prediction-powered inference
Prediction-powered inference is a framework for performing valid statistical inference when
an experimental dataset is supplemented with predictions from a machine-learning system …
an experimental dataset is supplemented with predictions from a machine-learning system …
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
L Yang, S **, P Danielson, C Homer, L Gass… - ISPRS journal of …, 2018 - Elsevier
Abstract The US Geological Survey (USGS), in partnership with several federal agencies,
has developed and released four National Land Cover Database (NLCD) products over the …
has developed and released four National Land Cover Database (NLCD) products over the …
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …
disaster planners and responders, given their ability to image the Earth's surface nearly …
Critical transitions in the Amazon forest system
The possibility that the Amazon forest system could soon reach a tip** point, inducing
large-scale collapse, has raised global concern,–. For 65 million years, Amazonian forests …
large-scale collapse, has raised global concern,–. For 65 million years, Amazonian forests …
[HTML][HTML] The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …
important for both scientific and practical purposes. Spatially explicit crop-type information …
The ATL08 land and vegetation product for the ICESat-2 Mission
A Neuenschwander, K Pitts - Remote sensing of environment, 2019 - Elsevier
After being launched in September 2018, measurements from the ICESat-2 (Ice, Cloud, and
land Elevation Satellite-2) will be available to the science community starting in the Spring of …
land Elevation Satellite-2) will be available to the science community starting in the Spring of …