Preliminary Analysis of the Relationship between Annual Precipitation and Vegetation using MODIS NPP Remotely Sensed Data in Korea

Choi, Daegyu; Choi, Hyun-Il; Kim, Sangdan

doi:10.9798/kosham.2011.11.4.171

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…과거에는 광범위한 유역 스 케일에서 식생자료를 측정하고 정량화하는 것이 매우 어 려웠으나, 최근에는 원격 탐사된 식생 지수들을 이용할 수 있음에 따라서 이를 이용한 다양한 응용 연구들이 활발하 게 일어나고 있다 Choi et al, 2011b;Choi et al, 2012a (Fig. 4b).…”

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Effect of Climate and Landscape Characteristics on Hydrologic Partitioning and Vegetation Response

Park¹,

Choi²,

Ahn³

et al. 2013

Journal of Korea Water Resources Association

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The effect of climate and landscape characteristics on hydrologic partitioning and vegetation response is analyzed in this study. After quantifying hydrologic partitioning using the Horton index, the relation between regional climate characteristics and the Horton index is investigated. In addition, using the comparison between the predictability of the Horton index with only regional climate characteristics and the predictability of the Horton index with landscape characteristics as well as regional climate characteristics, the relative contribution of landscape characteristics on hydrologic partitioning is analyzed. Finally, investigating the predictability of the aridity index and Horton index on the normalized difference vegetation index, the effect of climate and landscape characteristics on vegetation response is estimated.

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Effect of Climate and Landscape Characteristics on Hydrologic Partitioning and Vegetation Response

Park¹,

Choi²,

Ahn³

et al. 2013

Journal of Korea Water Resources Association

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Estimation of Net Primary Production for Nakdong River Basin using Vegetation Index

Shin¹,

Kwon²

2014

Journal of the Korean Geoenvironmental Society

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This study is to evaluate Net Primary Production (NPP) using NDVI calculated by MODIS in the Nakdong river basin.This study is based on the method of using the fact that NPP is proportional to natural vegetation condition. This method is different from existing one, using remote sensed data. It is known that NPP of natural vegetation is proportional to the absorbed amount of visible light that is proportional to NDVI. Therefore, estimating NPP by using NDVI is one of the most highly useful methods. This method can be used in a wide range of areas where vegetation data can not be obtained easily or where there is not enough meterological data. This study proposes the estimating method for NPP that is based upon NDVI, which is obtained by MODIS, and verifies by comparing the NPP with empirical results.

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Preliminary Analysis of the Relationship between Annual Precipitation and Vegetation using MODIS NPP Remotely Sensed Data in Korea

Cited by 2 publications

References 18 publications

Effect of Climate and Landscape Characteristics on Hydrologic Partitioning and Vegetation Response

Effect of Climate and Landscape Characteristics on Hydrologic Partitioning and Vegetation Response

Estimation of Net Primary Production for Nakdong River Basin using Vegetation Index

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