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Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad

Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new sources of data to effectively characterize vegetation metrics at very high spatial resolution and at flexible revisit frequencies. Successful estimation of the leaf area index (LAI) in precision agriculture with a UAV image has...

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Main Author: Ahad, Mohamad Firdaus
Format: Thesis
Language:English
Published: 2020
Subjects:
GB Physical geography
Geomorphology. Landforms. Terrain
Online Access:http://ir.uitm.edu.my/id/eprint/33151/1/33151.pdf
http://ir.uitm.edu.my/id/eprint/33151/
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spelling my.uitm.ir.331512020-08-04T02:55:20Z http://ir.uitm.edu.my/id/eprint/33151/ Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad Ahad, Mohamad Firdaus GB Physical geography Geomorphology. Landforms. Terrain Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new sources of data to effectively characterize vegetation metrics at very high spatial resolution and at flexible revisit frequencies. Successful estimation of the leaf area index (LAI) in precision agriculture with a UAV image has been reported in several studies. Rubber growth is important to take care to ensure the absorption of carbon dioxide can be increased. However, in this study there are some area not fully covered by rubber trees. To measure how much area had been covered and does not been covered by the rubber trees, LAI measurement can be used to calculate the canopy. The aim of this study is to evaluate leaf area index on rubber leaves using an unmanned aerial vehicle images at Research Station RRIM, Malaysian Rubber Board (MRB) Kota Tinggi, Johor and the objectives is to produce Leaf Area Index map using drone based multispectral images and to determine healthiness of rubber tree based on leaf area index map. The methods for extracting the vegetation LAI is the vegetation index method. Leaf area index can be identified by the red, blue, green band and little at the near infrared band with using raster calculator. As a result, the map LAI for rubber tree using drone based multispectral images will produce and the healthiness of rubber tree can be identify based on the leaf area index map. 2020-08-04 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/33151/1/33151.pdf Ahad, Mohamad Firdaus (2020) Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad. Degree thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic GB Physical geography
Geomorphology. Landforms. Terrain
spellingShingle GB Physical geography
Geomorphology. Landforms. Terrain
Ahad, Mohamad Firdaus
Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
description Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new sources of data to effectively characterize vegetation metrics at very high spatial resolution and at flexible revisit frequencies. Successful estimation of the leaf area index (LAI) in precision agriculture with a UAV image has been reported in several studies. Rubber growth is important to take care to ensure the absorption of carbon dioxide can be increased. However, in this study there are some area not fully covered by rubber trees. To measure how much area had been covered and does not been covered by the rubber trees, LAI measurement can be used to calculate the canopy. The aim of this study is to evaluate leaf area index on rubber leaves using an unmanned aerial vehicle images at Research Station RRIM, Malaysian Rubber Board (MRB) Kota Tinggi, Johor and the objectives is to produce Leaf Area Index map using drone based multispectral images and to determine healthiness of rubber tree based on leaf area index map. The methods for extracting the vegetation LAI is the vegetation index method. Leaf area index can be identified by the red, blue, green band and little at the near infrared band with using raster calculator. As a result, the map LAI for rubber tree using drone based multispectral images will produce and the healthiness of rubber tree can be identify based on the leaf area index map.
format Thesis
author Ahad, Mohamad Firdaus
author_facet Ahad, Mohamad Firdaus
author_sort Ahad, Mohamad Firdaus
title Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
title_short Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
title_full Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
title_fullStr Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
title_full_unstemmed Leaf area index estimation of rubber tree using drone based multispectral images / Mohamad Firdaus Ahad
title_sort leaf area index estimation of rubber tree using drone based multispectral images / mohamad firdaus ahad
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/33151/1/33151.pdf
http://ir.uitm.edu.my/id/eprint/33151/
_version_ 1685651020754976768
score 13.211869

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