TY  - CHAP
AU  - Meng Zhen Kang
AU  - Thomas Corpetti
AU  - Jing Hua
AU  - Philippe de Reffye
ED  - Temilola Fatoyinbo
Y1  - 2012-03-28
PY  - 2012
T1  - Reconstructing LAI Series by Filtering Technique and a Dynamic Plant Model
N2  - The accurate measurement of ecosystem biomass is of great importance in scientific, resource management and energy sectors. In particular, biomass is a direct measurement of carbon storage within an ecosystem and of great importance for carbon cycle science and carbon emission mitigation. Remote Sensing is the most accurate tool for global biomass measurements because of the ability to measure large areas. Current biomass estimates are derived primarily from ground-based samples, as compiled and reported in inventories and ecosystem samples. By using remote sensing technologies, we are able to scale up the sample values and supply wall to wall mapping of biomass. Three separate remote sensing technologies are available today to measure ecosystem biomass: passive optical, radar, and lidar. There are many measurement methodologies that range from the application driven to the most technologically cutting-edge. The goal of this book is to address the newest developments in biomass measurements, sensor development, field measurements and modeling. The chapters in this book are separated into five main sections.
BT  - Remote Sensing of Biomass
SP  - Ch. 10
UR  - https://doi.org/10.5772/16446
DO  - 10.5772/16446
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-20
ER  -