Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates
Landsat Thematic mapper (TM) image has long been the dominate data source, and
recently LiDAR has offered an important new structural data stream for forest biomass …
recently LiDAR has offered an important new structural data stream for forest biomass …
Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin
Estimation of forest stand parameters such as aboveground biomass in a large area using
remotely sensed data has considerable significance for sustainable management and utility …
remotely sensed data has considerable significance for sustainable management and utility …
A review of remote sensing methods for biomass feedstock production
Monitoring and maximization of bioenergy yield from biomass feedstock has recently
become a critically important goal for researchers. Remote sensing represents a potential …
become a critically important goal for researchers. Remote sensing represents a potential …
Review of the use of remote sensing for biomass estimation to support renewable energy generation
The quantification, map** and monitoring of biomass are now central issues due to the
importance of biomass as a renewable energy source in many countries of the world. The …
importance of biomass as a renewable energy source in many countries of the world. The …
Exploring renewable energy resources using remote sensing and GIS—A review
Renewable energy has received noteworthy attention during the last few decades. This is
partly due to the fact that fossil fuels are depleting and the need for energy is soaring …
partly due to the fact that fossil fuels are depleting and the need for energy is soaring …
Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm
Accurate estimates of spatial above ground biomass (AGB) in tropical forests are important
in understanding the global carbon cycle. Microwave and optical remote sensing datasets …
in understanding the global carbon cycle. Microwave and optical remote sensing datasets …