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Mapping Vegetation Through Remotely Sensed Pictures: A Comparative and Contrast Approach

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Added on 2020-06-06

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Compare and Contrast 2 Papers COMPARE AND CONTRAST 2 PAPERS 1 REFERENCES 3 COMPARE AND CONTRAST 2 PAPERS Xie, Sha and Yu (2008), investigated vegetation mapping through the use of remotely sensed pictures. are founded time consuming and too expensive, therefore, the study has great significant benefits wherein researcher had made enormous efforts to examine vegetation coverage ranging from local to global scale via application of remote sensing technology. Another study conducted by Kraus and Pfeifer (1998) is based

Mapping Vegetation Through Remotely Sensed Pictures: A Comparative and Contrast Approach

Added on 2020-06-06

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Compare and Contrast 2 Papers

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Table of ContentsCOMPARE AND CONTRAST 2 PAPERS....................................................................................1REFERENCES................................................................................................................................3

Mapping Vegetation Through Remotely Sensed Pictures: A Comparative and Contrast Approach_2

COMPARE AND CONTRAST 2 PAPERSXie, Sha and Yu (2008), investigated vegetation mapping through the use of remotelysensed pictures. Mapping vegetation is a technical activity which is important for the efficientmanagement of natural resources. Vegetation satisfies basic necessities of all the human beingsand plays an inevitable role in affecting climate changes i.e. influence terrestrial. It also helps inevaluating natural as well as artificial environment through quantifying coverage of vegetationfrom regional or local to a global scale. It helps to take initiatives for organizing protecting &restoration programs. Traditional methods like survey, map interpretation etc. are founded timeconsuming and too expensive, therefore, the study has great significant wherein researcher hadmade enormous efforts to examine vegetation coverage ranging from local to global scale viaapplication of remote sensing technology. It is a device that captures all the data regarding anobject. Another study conducted by Kraus and Pfeifer (1998) is based on determining terrainmodel in woody area wherein researcher made efforts to compare laser scanning model with thephotogrammetry. Laser radar scanner is an emerging technique of data restitution however,photogrammetry is the technique applied to know the exact surface points through photographs. The study of Xie, Sha and Yu (2008), reported that there are various features remotesensing image such as Landsat TM, Landsat ETM+, MODIS, SPOT, AVHRR, IKONOS,Quickbird, ASTER, AVIRIS and Hyperion with having different features. However, in order toextract vegetation information, satellite images has been interpreted considering differentelements i.e. color. Texture, tone, information, pattern etc. Image processing & imageclassification were the two stages undertaken for extracting vegetation. However, researcher hasused both the supervised and unsupervised methods, later has been applied in thematic mappingi.e. K-mean and ISODATA and based on image pixel. Although this technique transformed rawimage into useful and meaningful statistics with high accuracy. In contrast, the main drawback ofapplication of clustering algorithm is that every-time, image classification procedure requires tobe repeated where more units are added. Supervised, on the other side, use predicting variablesquantified in every sample. The technique assigned new units to priori class. Hence, by this way,it overcome the downfall side of unsupervised method wherein addition of more units did notinfluence the result. Again, the method is criticized because maximum likelihood classificationreported less satisfactory result because it is based on the assumption of Gaussian distribution1

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