Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
J ** 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 …
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 …
Deep learning based retrieval of forest aboveground biomass from combined LiDAR and landsat 8 data
L Zhang, Z Shao, J Liu, Q Cheng - Remote Sensing, 2019 - mdpi.com
Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …
Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments
The major constraint in understanding grass above ground biomass variations using
remotely sensed data are the expenses associated with the data, as well as the limited …
remotely sensed data are the expenses associated with the data, as well as the limited …
Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms
The most challenging task in the agricultural sector is to accurately predict crop yield. A
typical machine learning algorithm often uses real data to predict crop yield. In this study, we …
typical machine learning algorithm often uses real data to predict crop yield. In this study, we …
Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam
Forest biomass is one of the key measurement for carbon budget accounting, carbon flux
monitoring, and climate change studies. Hence, it is essential to develop a credible …
monitoring, and climate change studies. Hence, it is essential to develop a credible …