Status of remote sensing algorithms for estimation of land surface state parameters

Separating physiologically and directionally induced changes in PRI using BRDF models

“…As a result, study of such processes requires careful consideration of the spatial and temporal dynamics involved (Hall et al, 1995). A prominent example of such a process is the photosynthetic light use efficiency ( ), which describes the efficiency with which a plant can convert absorbed solar radiation energy into biomass (Monteith, 1972(Monteith, , 1977 thereby driving (amongst other factors) the amount of carbon accumulation in terrestrial ecosystems (Monteith et al, 1977, Field, 1991, Goetz et al, 1999.…”

“…Determined by any of a large number of environmental stresses restraining the photochemical reaction process, such as nutrition supply, water, and temperature, depends on vegetation types and varies greatly over space and time (Field and Mooney 1986, Prince and Goward 1995, Turner et al 2003. Whilst recent years have seen considerable progress detecting using high spectral resolution remote sensing instrumentation at the leaf, canopy, and stand scales, the angular, spatial, spectral and temporal requirements for up-scaling such observations to landscape and global levels using satellite remote sensing remain less well understood (Hall et al, 1995, Xiao et al, 2004.…”

Object-based image analysis of remote sensing data

“…Čeprav ta problematika ni bila nova (Hall et al, 1995;Cracknell, 1998), je postalo očitno, da se vse več študij in aplikacij zateka k vpeljavi segmentacije podobe. Segmentacija podob, sprva ročna (digitalizacija), nato pa tudi digitalna, se v osemdesetih in devetdesetih letih uporablja v prostorskih aplikacijah z daljinsko zaznanimi podatki, vendar le v manjši meri (Haralick in Shapiro, 1985;Pal in Pal, 1993).…”

Classification of various land features using RISAT-1 dual polarimetric data

“…Thus, it is preferable to choose more advance classifier to attain more accurate results for land used land cover classification. Several classification algorithms have been reported for classifying various satellite images (Townshend, 1992;Hall et al, 1995). In recent years, the use of Support vector machine classifier has been increased significantly for land use land cover classification of remotely sensed data…”