Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS

Kelantan state is located in the north-eastern of Peninsular Malaysia, with 5.8 million hectares is covered by forested areas. Gross primary production (GPP) is the amount of carbon captured by plants and it is an important biophysical parameter in the spatio-temporal dynamics of CO2. GPP estimates...

Full description

Saved in:
Bibliographic Details
Main Author: Alias, Nor Lianatashya
Format: Undergraduate Final Project Report
Published: 2020
Online Access:http://discol.umk.edu.my/id/eprint/4106/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.umk.eprints.4106
record_format eprints
spelling my.umk.eprints.41062022-05-23T08:22:39Z http://discol.umk.edu.my/id/eprint/4106/ Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS Alias, Nor Lianatashya Kelantan state is located in the north-eastern of Peninsular Malaysia, with 5.8 million hectares is covered by forested areas. Gross primary production (GPP) is the amount of carbon captured by plants and it is an important biophysical parameter in the spatio-temporal dynamics of CO2. GPP estimates derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) are converted to the forest area and compared. GPP is estimated through a light use efficiency model (LUE) and enhanced vegetation index (EVI) as a proxy of greenness to address spatial and temporal variation in terrestrial photosynthetic activities. This study is important because the output will be used as a reference to estimate the approximate total carbon in Kelantan. Estimation GPP of Kelantan state is also useful for natural resource and land management, regional carbon cycle analysis, ecosystem status assessment, and environmental change monitoring. The objective of this study is to estimate Gross Primary Production (GPP) value of forested area in Kelantan using MODIS EVI data. The MODIS data products was taken and downloaded from The Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC) website. The products of MOD15 FPAR and MOD17A2H were analyzed using ENVI version 5.1 and ArcMap version 10.3 software. The GPP was extracted from MOD 17A2H product to go through an images processing steps, image analysis which MOD 15 algorithm and MOD 17 algorithm. The image was classified into different classes of range in image classifications. The results show that GPP was highest at areas in Gua Musang is Felda Chiku which is main vegetation detected was oil palm and also surrounded by forest area. While the lowest area is around Kota Bharu, Tumpat and Bachok which lot of development are found around there. In conclusion, the estimation of GPP of forested area in Kelantan can be calculated using MODIS EVI data. 2020 Undergraduate Final Project Report NonPeerReviewed Alias, Nor Lianatashya (2020) Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description Kelantan state is located in the north-eastern of Peninsular Malaysia, with 5.8 million hectares is covered by forested areas. Gross primary production (GPP) is the amount of carbon captured by plants and it is an important biophysical parameter in the spatio-temporal dynamics of CO2. GPP estimates derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) are converted to the forest area and compared. GPP is estimated through a light use efficiency model (LUE) and enhanced vegetation index (EVI) as a proxy of greenness to address spatial and temporal variation in terrestrial photosynthetic activities. This study is important because the output will be used as a reference to estimate the approximate total carbon in Kelantan. Estimation GPP of Kelantan state is also useful for natural resource and land management, regional carbon cycle analysis, ecosystem status assessment, and environmental change monitoring. The objective of this study is to estimate Gross Primary Production (GPP) value of forested area in Kelantan using MODIS EVI data. The MODIS data products was taken and downloaded from The Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC) website. The products of MOD15 FPAR and MOD17A2H were analyzed using ENVI version 5.1 and ArcMap version 10.3 software. The GPP was extracted from MOD 17A2H product to go through an images processing steps, image analysis which MOD 15 algorithm and MOD 17 algorithm. The image was classified into different classes of range in image classifications. The results show that GPP was highest at areas in Gua Musang is Felda Chiku which is main vegetation detected was oil palm and also surrounded by forest area. While the lowest area is around Kota Bharu, Tumpat and Bachok which lot of development are found around there. In conclusion, the estimation of GPP of forested area in Kelantan can be calculated using MODIS EVI data.
format Undergraduate Final Project Report
author Alias, Nor Lianatashya
spellingShingle Alias, Nor Lianatashya
Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
author_facet Alias, Nor Lianatashya
author_sort Alias, Nor Lianatashya
title Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
title_short Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
title_full Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
title_fullStr Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
title_full_unstemmed Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
title_sort estimating gross primary production (gpp) of kelantan forest area using modis
publishDate 2020
url http://discol.umk.edu.my/id/eprint/4106/
_version_ 1763303367374798848
score 13.214268