Above-ground biomass map** in West African dryland forest using Sentinel-1 and 2 datasets-A case study
Abstract The Sudanian Savanna (SS) of West Africa is characterized by tropical savannas
and woodlands. Accurate estimation of AGB and carbon stocks in this biome is important for …
and woodlands. Accurate estimation of AGB and carbon stocks in this biome is important for …
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by
multispectral and SAR data at other wavelengths, for fine-scale map** of above-ground …
multispectral and SAR data at other wavelengths, for fine-scale map** of above-ground …
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
Sensitivity of L-band SAR backscatter to aboveground biomass of global forests
Synthetic Aperture Radar (SAR) backscatter measurements are sensitive to forest
aboveground biomass (AGB), and the observations from space can be used for map** …
aboveground biomass (AGB), and the observations from space can be used for map** …
[HTML][HTML] Comparing the performance of machine learning algorithms for estimating aboveground biomass in typical steppe of northern China using Sentinel imageries
Monitoring aboveground biomass (AGB) is crucial for assessing, managing, and utilizing
grassland ecosystems. While the technical form of combining remote sensing and machine …
grassland ecosystems. While the technical form of combining remote sensing and machine …
Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements
Methods for the estimation of forest growing stock volume (GSV) are a major topic of
investigation in the remote sensing community. The boreal zone contains almost 30% of …
investigation in the remote sensing community. The boreal zone contains almost 30% of …
Map** forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band
O Cartus, M Santoro, J Kellndorfer - Remote Sensing of Environment, 2012 - Elsevier
A method for regional scale map** of aboveground forest biomass with Advanced Land
Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) …
Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) …
Quantifying small‐scale deforestation and forest degradation in African woodlands using radar imagery
CM Ryan, T Hill, E Woollen, C Ghee… - Global Change …, 2012 - Wiley Online Library
Carbon emissions from tropical land‐use change are a major uncertainty in the global
carbon cycle. In African woodlands, small‐scale farming and the need for fuel are thought to …
carbon cycle. In African woodlands, small‐scale farming and the need for fuel are thought to …
Radar satellite imagery for detecting bark beetle outbreaks in forests
Abstract Purpose of Review The overall objective of this paper is to review the state of
knowledge on the application of radar data for detecting bark beetle attacks in forests. Due …
knowledge on the application of radar data for detecting bark beetle attacks in forests. Due …
Comparing machine learning algorithms for pixel/object-based classifications of semi-arid grassland in northern China using multisource medium resolution imageries
Knowledge of grassland classification in a timely and accurate manner is essential for
grassland resource management and utilization. Although remote sensing imagery analysis …
grassland resource management and utilization. Although remote sensing imagery analysis …