Land classification using black and white aerial image of Sabah tea plantation

Gunasesaran, Rajeswary (2006) Land classification using black and white aerial image of Sabah tea plantation. Universiti Malaysia Sabah. (Unpublished)


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Assessment of aerial image is an alternative technique for satellite based remote sensing in tropical region where gives unclouded clear image for land classification purpose. The aerial image firstly digitalized, geocoded, orthorectified and system trained to recognized signature for supervised classification of land use in Sabah Tea Plantation, aided with ground truthing method. There are six classes identified and map of land class produced by Arcmap. The proportion of virgin rainforest at 17.90%, followed by pasture at 17.90 %, secondary forest at 15.98%, road at 13.64% and the proportion of building at 15.55%. The boundaries of vegetation and land used area defined with high precision with aerial image analysis using ERDAS IMAGINE 8.5. Ground truthing and geocoded data assessed for detect the location and land changes. As conclusion aerial image is suitable method for land classification in tropical region compare to satellite image with error cause by cloud cover. Aerial image are easy to analyzed, cheap and clear where application have great advantages in agricultural sector. The assessment aerial image produced more accurate and efficient land classification map for further agricultural management in Malaysia.

Item Type: Academic Exercise
Keyword: land classification , black and white aerial , Sabah tea plantation
Subjects: Q Science > Q Science (General)
Department: SCHOOL > School of Science and Technology
Date Deposited: 13 May 2013 14:32
Last Modified: 13 Oct 2017 16:51

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