Name
Title | ||
|---|---|---|
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling |
Abstract | ||
|---|---|---|
During the last 50 years, the management of agroecosystems has been undergoing major changes to meet the growing demand for food, timber, fibre and fuel. As a result of this intensified use, the ecological status of many agroecosystems has been severely deteriorated. Modeling the behavior of agroecosystems is, therefore, of great help since it allows the definition of management strategies that maximize (crop) production while minimizing the environmental impacts. Remote sensing can support such modeling by offering information on the spatial and temporal variation of important canopy state variables which would be very difficult to obtain otherwise. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.jag.2006.05.003 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Data assimilation,Agroecosystem modeling,Vegetation indices,Canopy reflectance modeling,Biophysical variables,Biochemical variables,Parallel processing | Radar,Vegetation,Hydrology,Remote sensing,Lidar,State variable,Data assimilation,Ensemble Kalman filter,Geography,User requirements document,Agroecosystem | Journal |
Volume | Issue | ISSN |
9 | 2 | 0303-2434 |
Citations | PageRank | References |
78 | 9.21 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| W DORIGO | 1 | 78 | 9.21 |
| R ZURITAMILLA | 2 | 78 | 9.21 |
| A.J.W. de Wit | 3 | 91 | 11.51 |
| J BRAZILE | 4 | 102 | 12.68 |
| R SINGH | 5 | 78 | 9.21 |
| M SCHAEPMAN | 6 | 83 | 10.25 |