In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear regression model were used to estimate distribution of biomass resources in 2010. The establishment of models, developed using different vegetation biomass sample data, normalized difference vegetation index (NDVI), leaf area index (LAI), meteorological data, coordinates, terrain data, and statistical data. Results based on a cross-validation approach show that the model can explain 95.6% of the variance in biomass, with a relative estimation error of 67 g·m−2 for a range of biomass between 0–73,875 g·m−2. Spatial statistic results were consistent with the practical condition in most cases. The above- and below-ground biomass (ABGB) of China w...
Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemica...
Forests are major contributor of terrestrial ecosystem carbon (C) pools, and are thus crucial compon...
Root to shoot ratio (RS) is commonly used to describe the biomass allocation between below- and abov...
In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear re...
By integrating the reflectance of 7 spectral bands of the MODerate-resolution Imaging Spectroradiaom...
Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an importa...
Quantifying the spatial pattern of large-scale forest biomass can provide a general picture of the c...
Estimations of above-ground biomass (AGB) at various spatial and temporal scales remain a large unce...
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, cur...
The energy stored in biomass, a key component of global sustainable energy, is essential for achievi...
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, cur...
The assessment of forest biomass is required for the estimation of carbon sinks and a myriad other e...
The biomass of the subtropical forests of China is an important component of the global carbon cycle...
The biomass of the subtropical forests of China is an important component of the global carbon cycle...
Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemica...
Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemica...
Forests are major contributor of terrestrial ecosystem carbon (C) pools, and are thus crucial compon...
Root to shoot ratio (RS) is commonly used to describe the biomass allocation between below- and abov...
In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear re...
By integrating the reflectance of 7 spectral bands of the MODerate-resolution Imaging Spectroradiaom...
Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an importa...
Quantifying the spatial pattern of large-scale forest biomass can provide a general picture of the c...
Estimations of above-ground biomass (AGB) at various spatial and temporal scales remain a large unce...
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, cur...
The energy stored in biomass, a key component of global sustainable energy, is essential for achievi...
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, cur...
The assessment of forest biomass is required for the estimation of carbon sinks and a myriad other e...
The biomass of the subtropical forests of China is an important component of the global carbon cycle...
The biomass of the subtropical forests of China is an important component of the global carbon cycle...
Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemica...
Accurate estimation of grassland biomass and its dynamics are crucial not only for the biogeochemica...
Forests are major contributor of terrestrial ecosystem carbon (C) pools, and are thus crucial compon...
Root to shoot ratio (RS) is commonly used to describe the biomass allocation between below- and abov...