- Spatially|explicit LIDAR|driven Carbon Cycle Modeling of Individual ...🔍
- Development of a spatially explicit model of blue carbon storages in ...🔍
- Developing a spatially explicit modelling and evaluation framework ...🔍
- driven carbon emissions🔍
- Spatially|Explicit Testing of a General Aboveground Carbon Density ...🔍
- Carbon cycle feedbacks in an idealized simulation and a scenario ...🔍
- Spatial heterogeneity of global forest aboveground carbon stocks ...🔍
- Spatially Explicit Parameterization of a Terrestrial Ecosystem Model ...🔍
Spatially|explicit LIDAR|driven Carbon Cycle Modeling of Individual ...
Spatially-explicit LIDAR-driven Carbon Cycle Modeling of Individual ...
Recently, researchers have begun to apply LIDAR data into individual tree ... (Medlyn, 2003) for spatially-explicit ecological modeling. Extracting ...
Development of a spatially explicit model of blue carbon storages in ...
multispectral, hyperspectral, LiDAR, and microwave) in remote sensing investigations hampers biomass estimation and mapping efficiency, as noted by Günlü and ...
Developing a spatially explicit modelling and evaluation framework ...
Whereas canopies can be delineated in Lidar data and individual ... Ecosystem services related to carbon cycling – modelling present and future ...
driven carbon emissions: the INPE-EM framework applied to
... Modeling the spatial and temporal heterogeneity of deforestation-driven carbon ... model is equivalent to using a regular grid composed of a single cell.
Spatially-Explicit Testing of a General Aboveground Carbon Density ...
Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR. by. Patricio Xavier ...
Carbon cycle feedbacks in an idealized simulation and a scenario ...
We find that this growth over time occurs such that the spatial patterns of feedbacks do not change significantly for individual models. We ...
Spatial heterogeneity of global forest aboveground carbon stocks ...
ED is an individual-based prognostic ecosystem model that integrates submodules of growth, mortality, hydrology, carbon cycle, and soil ...
Spatially Explicit Parameterization of a Terrestrial Ecosystem Model ...
The global carbon cycle plays an important role in affecting the climate system ... tialize the model, and the model is driven with climate data from the same ...
Funded Research - NASA Carbon Cycle & Ecosystems
Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth ...
Assessing carbon cycle projections from complex and simple ...
... models are consistent in their carbon cycle response in concentration-driven simulations. ... cycle processes and due to single or few model ...
3D Modeling of Individual Trees from LiDAR and Photogrammetric ...
The carbon cycle is complex, and each process affects the other processes. The biomass allometric model is a statistical model for estimating tree biomass based ...
Knowledge-guided machine learning can improve carbon cycle ...
However, conventional process-based or data-driven modeling ... In total, 16 individual models were trained. The training and testing data ...
CE-DYNAM (v1): a spatially explicit process-based carbon erosion ...
CE-DYNAM is driven by spatially explicit historical land use change, climate ... models to address C cycling in dynamic landscapes, Earth-Sci. Rev ...
Quantifying Carbon Cycle Extremes and Attributing Their Causes ...
... driven by declining vegetation cover or benign climate conditions for photosynthesis. Increasing hot, dry, and fire-driven carbon cycle ...
Using a spatially-distributed hydrologic biogeochemistry model with ...
Therefore, these models can neither resolve the topographically driven spatial variability of water, energy, and nutrient, nor their effects on carbon processes ...
Matrix Approach to Land Carbon Cycle Modeling - OSTI.GOV
Our approach organizes this set of equations into a single matrix equation without altering any processes of the original model. The matrix equation enables the ...
Carbon Cycle Science Databases and Tools
The driver data are sufficient for carbon cycle model simulations from 1801 to 2010. ... ISCN members contribute to a community-driven soil carbon database ...
Funded Research - NASA Carbon Cycle & Ecosystems
... Spatial Estimates of Carbon Stock and Stock ... Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data.
Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation ...
... spatial scales and long periods of time by Earth system models. This book ... driven modeling (PRODA) for model evaluation and improvement; Reorganized ...
Chapter 19: Future of the North American Carbon Cycle
... individual model projections. The number of models varies ... Model projections of reductions in carbon storage due to climate change are primarily driven ...