Characteristics of maximum-value composite images from temporal AVHRR data

@article{Holben1986_max_val_comp, abstract = {Red and near-infrared satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics. The technique minimizes cloud contamination, reduces directional reflectance and off-nadir viewing effects, minimizes sun-angle and shadow effects, and minimizes aerosol and water-vapor effects. The improvement is highly dependent on the state of the atmosphere, surface-cover type, and the viewing and illumination geometry of the sun, target and sensor. An example from southern Africa showed an increase of 40 percent from individual image values tothe final composite image. Limitations associated with the technique are discussed, and recommendations are given to improve this approach.}, author = {Holben, B. }, citeulike-article-id = {802973}, journal = {International Journal of Remote Sensing}, keywords = {avhrr, remote-sensing, time-series}, month = {November}, pages = {1417--1434}, posted-at = {2006-08-16 22:42:18}, priority = {2}, title = {Characteristics of maximum-value composite images from temporal AVHRR data}, volume = {7}, year = {1986} }

TY - JOUR ID - Holben1986_max_val_comp L3 - citeulike-article-id:802973 TI - Characteristics of maximum-value composite images from temporal AVHRR data JF - International Journal of Remote Sensing VL - 7 SP - 1417 EP - 1434 N2 - Red and near-infrared satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics. The technique minimizes cloud contamination, reduces directional reflectance and off-nadir viewing effects, minimizes sun-angle and shadow effects, and minimizes aerosol and water-vapor effects. The improvement is highly dependent on the state of the atmosphere, surface-cover type, and the viewing and illumination geometry of the sun, target and sensor. An example from southern Africa showed an increase of 40 percent from individual image values tothe final composite image. Limitations associated with the technique are discussed, and recommendations are given to improve this approach. KW - avhrr KW - remote-sensing KW - time-series AU - Holben, B PY - 1986/11// ER -