Assessing the accuracy of land surface characteristics estimated from multi-angular remotely sensed data

摘要: New missions and technically advanced sensors are being developed by researchers to monitor our planet from space at different spatial spectral resolutions. Characterizing the terrestrial biomes on a global scale is key issue in understanding climate change evolution of Earth's atmosphere system. models radiation plant stands more heterogeneous used interpret satellite- airborne sensor data identify information surface. This paper presents an investigation estimation canopy leaf level quantities multidirectional remotely sensed three bands. The purpose evaluate goodness model controlled environment, using artificial input data. results experiment indicate that required optical properties can be derived with good accuracy within constraints experiment. Estimated stand structure characteristics prone error. Scaling issues,...