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Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Y Li, M Li, C Li, Z Liu - Scientific reports, 2020 - nature.com
Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
Detailed maps of forest structure attributes are crucial for sustainable forest management,
conservation, and forest ecosystem science at the landscape level. Map** the structure of …
conservation, and forest ecosystem science at the landscape level. Map** the structure of …
A review of remote sensing of forest biomass and biofuel: options for small-area applications
CJ Gleason, J Im - GIScience & Remote Sensing, 2011 - Taylor & Francis
Forests have served as a primary reservoir of terrestrial carbon and have long been
investigated in the global climate change context. In addition, increased exposure in the …
investigated in the global climate change context. In addition, increased exposure in the …
Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series
X Zhu, D Liu - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
Spatially explicit knowledge of aboveground biomass (AGB) in large areas is important for
accurate carbon accounting. Landsat data have been widely used to provide efficient and …
accurate carbon accounting. Landsat data have been widely used to provide efficient and …
[HTML][HTML] Map** tree canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8 and random forest
Accurate and timely maps of tree cover attributes are important tools for environmental
research and natural resource management. We evaluate the utility of Landsat 8 for …
research and natural resource management. We evaluate the utility of Landsat 8 for …
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Forest aboveground biomass (AGB) is an important factor for tracking global carbon cycle to
tackle the impact of climate change. Among all available remote sensing data and methods …
tackle the impact of climate change. Among all available remote sensing data and methods …
Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation
The data saturation problem in Landsat imagery is well recognized and is regarded as an
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia
Soil organic carbon (SOC) is pivotal for biological, chemical and physical processes and
provides vital information on changes in soil fertility and land degradation. Rangelands …
provides vital information on changes in soil fertility and land degradation. Rangelands …
Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems
JE Vogelmann, G **an, C Homer, B Tolk - Remote Sensing of Environment, 2012 - Elsevier
The focus of the study was to assess gradual changes occurring throughout a range of
natural ecosystems using decadal Landsat Thematic Mapper (TM) and Enhanced Thematic …
natural ecosystems using decadal Landsat Thematic Mapper (TM) and Enhanced Thematic …
Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests
Background Aboveground biomass (AGB) is a fundamental indicator of forest ecosystem
productivity and health and hence plays an essential role in evaluating forest carbon …
productivity and health and hence plays an essential role in evaluating forest carbon …