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 …

Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery

EMO Silveira, VC Radeloff, S Martinuzzi… - Remote Sensing of …, 2023 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Map** tree canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8 and random forest

M Karlson, M Ostwald, H Reese, J Sanou, B Tankoano… - Remote Sensing, 2015 - mdpi.com
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 …

Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest

SM Ghosh, MD Behera - Applied Geography, 2018 - Elsevier
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 …

Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation

P Zhao, D Lu, G Wang, C Wu, Y Huang, S Yu - Remote Sensing, 2016 - mdpi.com
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 …

Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia

B Wang, C Waters, S Orgill, A Cowie, A Clark… - Ecological …, 2018 - Elsevier
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 …

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 …

Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests

H Su, W Shen, J Wang, A Ali, M Li - Forest Ecosystems, 2020 - Springer
Background Aboveground biomass (AGB) is a fundamental indicator of forest ecosystem
productivity and health and hence plays an essential role in evaluating forest carbon …