Computer assisted discrimination of homogenous morphological units on the basis of the application of multivariate statistical methods to local gradients setting on the island of Crete, Greece
2001
Adediran, A.
Traditional manual methods have been employed for decades to measure geomorphometric properties from topographic maps. Such measurement techniques tend to be tedious and time-consuming and also the designated landform elements cannot be easily overlaid an any digital map and imagery for further applied research. This study deals with a new quantitative geomorphometric procedure, based on the multivariate statistical analysis of local topographic gradients. It employs sets of computer algorithms that automatically extract and classify geomorphometric properties from Digital Elevation Models (DEMs). This was done by evaluating the morphological setting around each pixel of the DEM along the 8 azimuth directions. ISODATA unsupervised classification was implemented to generate 10 morphometric classes showing the spatial distribution of areas with a similar geomorphologic scenario. Results revealed that this approach permited a quick estimation of the spatial distribution of morphologically homogeneous terrain units. It also demonstrated the ability of the delineated landform elements to be superimposed to any digital map and imagery for further investigation.This ability was presented after the examination of the relationship between thegeomorphological units and the landcover types in the study area. Both relative association and the dominant landcover types in relation to geomorphological units were presented
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Mediterranean Agronomic Institute of Chania