Vegetation distribution maps from remote sensors play an important role in urban planning, environmental protecting and related policy making. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. However, NDVI is usually used to generate lower resolution vegetation maps, and particularly the threshold needs to be ...

the vital need for river management is understood and predict of bank erosion processes. almost models will not be able to evaluate bank erosion,accurately. bstem model is the most usable model in many of river engineering projects in the world. necessary data for this model are related to driving and resisting forces controlled by hydraulic and geotechnical processes. these data include geomet...

Inland surface waters in tropical environments play a major role in the water and carbon cycle. Remote sensing techniques based on passive, active microwave or optical wavelengths are commonly used to provide quantitative estimates of surface water extent from regional to global scales. However, some of these estimates are unable to detect water under dense vegetation and/or in the presence of ...

the primary objective of the current study is to produce karstification potentiality maps in northeast of khuzestan province, iran, using both fuzzy logic and ahp models as an additional tool in hydrogeological research. geographic information systems (gis) and remote sensing (rs) are used to create two maps depicting the development of the karstification, consisting of five classes, showing th...

in this investigation, the effects of enclosure, restal delayed grazing andcontinued grazing treatments on the production rate and vegetation cover were studied.study area was sadrabad pasture. after selecting three bands (1+1+1=3 hectare area) asthree treatments in the restricted and non restricted area, they were transected to threetransects. then plots (1×2m2 ) were selected to measure the p...

Precise global/regional land cover mapping is of fundamental importance in studies of land surface processes and modelling. Quantitative assessments of the map quality and classification accuracy for existing land cover maps will help to improve accuracy in future land cover mapping. We compare and evaluate four land cover datasets over China. The datasets include the Version 2 global land cove...

Prediction of soil characteristics over large areas is desirable for environmental modeling. In arid environments, soil characteristics often show strong ecological connectivity with natural vegetation, specifically biomass and/or canopy cover, suggesting that the soil characteristics may be predicted from vegetation data. The objective of this study was to predict soil infiltration characteris...

Increasing demands on the accuracy and thematic resolution of vegetation community maps from remote sensing imagery has created a need for novel image analysis techniques. We present a case study for vegetation mapping of the Lake Tahoe Basin which fulfills many of the requirements of the Federal Geographic Data Committee base-level mapping (FGDC, 1997) by using hyperspatial Ikonos imagery anal...

this paper presents a mapping procedure for risk mapping of water and wind erosion, whichhelps to identify protective measures needed in the planning and management of natural parks. the map of water erosion risk was developed by combining the original and revised universal soil loss equation methodologies (usle-rusle), and the map of wind erosion risk was developed using quirantes’ method. usi...