• 한국측량학회지
• /
• 제33권6호
• /
• pp.547-555
• /
• 2015

The vegetation index is a crucial parameter in many biophysical studies of vegetation, and is also a valuable content in ecological processes researching. The OVIs (Optical Vegetation Index) that of using multispectral and hyperspectral data have been widely investigated in the literature, while the RVI (Radar Vegetation Index) that of considering volume scattering measurement has been paid relatively little attention. Also, there was only some efforts have been put to fuse the OVI with the RVI as an integrated vegetation index. To address this issue, this paper presents a novel FVI (Fusion Vegetation Index) that uses multispectral and full-PolSAR (Polarimetric Synthetic Aperture Radar) data. By fusing a NDVI (Normalized Difference Vegetation Index) of RapidEye and an RVI of C-band Radarsat-2, we demonstrated that the proposed FVI has higher separability in different vegetation types than only with OVI and RVI. Also, the experimental results show that the proposed index not only has information on the vegetation greenness of the NDVI, but also has information on the canopy structure of the RVI. Based on this preliminary result, since the vegetation monitoring is more detailed, it could be possible in various application fields; this synergistic FVI will be further developed in the future.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.673-678
• /
• 2002

A satellite remote sensing is useful for vegetation monitoring. But it has some problem. One of these, it is difficult to find a difference of vegetation surface roughness using satellite remote sensing. Each vegetation type has unique surface roughness, for example needle leaves forest, broad leaves forest and grassland. Difference of vegetation surface roughness can be detected by satellite multiangular observation. In this study, objective is to propose index of vegetation surface roughness using BRF property. General vegetation indices are calculated from nadir data of satellite data. A proposed index is calculated from two different observation zenith angle data. Two different zenith data can provide BRF (Bi-directional Reflectance Factor) property of satellite observation data. A proposed index was able to detect different value on where NDVI shows similar high value areas of rice field and forest. This index is useful for vegetation monitoring.

• 한국측량학회지
• /
• 제32권6호
• /
• pp.607-615
• /
• 2014

RVI (Radar Vegetation Index) has shown some promise in the vegetation fields, but its relationship with MVI (Multispectral Vegetation Index) is not known in the context of various land covers. Presented herein is a comparative analysis of the MVI values derived from the LANDSAT-8 and RVI values originating from the RADARSAT-2 quad-polarimetric SAR (Synthetic Aperture Radar) data. Among the various multispectral vegetation indices, NDVI (Normalized Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) were used for comparison with RVI. Four land covers (urban, forest, water, and paddy field) were compared, and the patterns were investigated. The experiment results demonstrated that the RVI patterns of the four land covers are very similar to those of NDVI and SAVI. Thus, during bad weather conditions and at night, the RVI data could serve as an alternative to the MVI data in various application fields.

• 한국지리정보학회지
• /
• 제23권2호
• /
• pp.21-35
• /
• 2020

식생정보는 도시계획, 조경, 수자원, 환경 등 다양한 분야에서 활용되는 매우 중요한 인자이다. 식생은 수관밀도 혹은 엽록소 함량에 따라 식생의 활력도에 차이가 발생하나 기존 연구에서는 식생지역을 분류시 식생 활력도를 고려하지 않았다. 본 연구에서는 다양한 응용연구를 충족시키기 위해 식생 활력도를 고려한 식생지수 경계값을 설정하는 연구를 수행하였다. 먼저 eBee 고정익 드론에 다중분광 카메라를 탑재하여 광학 및 근적외선 정사영상을 구축하였으며, 그리고 각 정사영상에 대해 GIS 연산을 수행하여 NDVI, GNDVI, SAVI, MSAVI 식생지수를 계산하였다. 또한 대상지에 대한 식생위치를 VRS 측량을 통해 조사하였으며 이를 이용하여 식생 활력도를 고려한 식생지수별 정확도를 평가하였다. 그 결과 식생 활력도가 좋은 지점을 식생지역으로 선정한 시나리오가 식생 활력도가 다소 부족한 지점도 식생지역으로 선정한 시나리오에 비해 식생지수의 분류 정확도가 높게 나타났다. 또한 각 현장 조사 지점과의 중첩을 통해 계산한 식생지수별 Kappa 계수를 통해 시나리오별로 식생을 분류하기에 가장 적합한 식생지수 경계값을 선정할 수 있었다. 따라서 본 연구에서 제시한 식생 활력도를 고려한 식생지수 정확도 평가는 향후 도시계획 등 다양한 업무 분야에서 의사결정 지원을 위한 유용한 정보를 제공해 줄 수 있을 것으로 판단된다.

• 한국환경복원기술학회지
• /
• 제24권1호
• /
• pp.97-110
• /
• 2021

Vegetation index information is an important figure that is used in many fields such as landscape architecture, urban planning, and environment. Vegetation may vary slightly in vegetation vitality depending on photosynthesis and chlorophyll content. In this study, a range of vegetation worth preserving in the Taehwa River water system was determined, and hyperspectral images of drones were acquired (August, October), and the results were presented through DVI(Normalized Defference Vegetation Index), EVI(Enhanced Vegetation Index), PRI(Photochemical Reflectance Index), ARI (Anthocyanin Reflectance Index) index analysis. In addition, field spectral data and VRS-GPS(Virtual Reference System-GPS) surveys were performed to ensure the quality and location accuracy of the spectral band. As a result of the analysis, NDVI and EVI showed low vegetation vitality in October, -0.165 and -0.085, respectively, and PRI and ARI increased to 0.011 and 7.588 in October, respectively. For general vegetation vitality, it was suggested that NDVI and EVI analysis were effectively performed, and PRI and ARI were thought to be effective in analyzing detailed characteristics of plants by spectral band. It is expected that it can be widely used for park design and landscape information modeling by using drone image information construction and vegetation information.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.250-255
• /
• 2002

This paper describes the study methods of identifying forest vegetation types, based on this study, forest vegetation classification method based on vegetation index is proposed. According to reflectance data of vegetation canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun, China, many vegetation index are calculated and analyzed. The relationships between vegetation index and vegetation types are that PVI identifies broadleaf forest and conifer forest the most easily, the next is TSAVI and MSAVI, but their calculation is complex. RVI values of different conifer trees vary obviously, so RVI can classify conifer trees. In a word, combination of PVI and RVI is evaluated to classify different vegetation types.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
• /
• pp.80-83
• /
• 2008

Diverse researches using vegetation index have been carried out to monitor spring droughts that have frequently occurred since 2000. The strength of the drought monitoring using vegetation index lies in that it can reflect characteristics of satellite images: large area coverage, cyclicity, and promptness. However, vegetation index involve uncertainly caused by diverse factors that affect vegetation stress. In this study, multi-temporal vegetation index is compared with the most representative meteorological drought indices like PSDI, SPI. Based on the results from analyses, usability of vegetation index as a tool of drought analysis is proposed.

• 한국환경과학회지
• /
• 제27권11호
• /
• pp.983-989
• /
• 2018

The real-time monitoring of surface vegetation is essential for the management of droughts, vegetation growth, and water resources. The availability of land cover maps based on remotely collected data makes the monitoring of surface vegetation easier. The vegetation index in an area is likely to be proportional to meteorological elements there such as air temperature and precipitation. This study investigated relationship between vegetation index based on Moderate Resolution Image Spectroradiometer (MODIS) and ground-measured meteorological elements at the Yongdam catchment station. To do this, 16-day averaged data were used. It was found that the vegetation index is well correlated to air temperature but poorly correlated to precipitation. The study provides some intuition and guidelines for the study of the droughts and ecologies in the future.

• 환경영향평가
• /
• 제25권6호
• /
• pp.384-401
• /
• 2016

본 연구는 하천환경평가체계 구축의 일환으로서 식생 평가 지표 및 평가 기준의 검증을 목적으로 수행하였다. 본 연구를 위해 5개 시험하천을 대상으로 68개의 평가단위에서 총 204개의 식생 표본조사구를 설정하였으며, 표본조사구별 상관-종조성 수준에서 식생군집의 분류 및 현존식생도를 작성하였다. 현존식생도를 기준으로 식생자료의 분석을 통해 표본조사의 적정 규모, 식생 지수의 점수 기준, 식생 군집분류의 표준화, 그리고 식생평가지표의 등급화를 위한 종합 점수기준을 검토하였다. 하천 식생 평가를 위해 개발된 식생 다양도 지수와 식생 복잡도, 그리고 식생자연도 지수로 이루어진 식생평가지표의 종합점수 산정 및 등급화는 타당한 것으로 판단되었다. 식생평가지표의 등급화에 대한 식생지수의 기여도를 분석한 결과 식생자연도 지수가 다른 지수에 비해 보다 큰 역할을 하는 것으로 판단되었으나 세부 식생지수 사이의 상호보완적인 관계가 성립되어 있음을 확인할 수 있었다. 또한, 선행 연구에서의 기준의 재검토 및 식생군집 분류의 표준화 작업 등을 통해 개정된 기준을 적용한 결과 식생평가등급 간 변별력이 크게 확보되었음을 확인 할 수 있었으나, 하천구간의 유형에 따른 식생 지수 및 식생평가지표의 등급화는 큰 차이가 없는 것으로 나타났다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.582-584
• /
• 2003

This paper explores two such indexes----the Aerosol Free Vegetation Index (AFRI) and the Atmospherically Resistant Vegetation Index (ARVI). Comparisons were made with the NDVI (normalized vegetation index) to see if they indeed performed better. In general, the results showed that the AFRI and ARVI (with gamma=1) did indeed perform better than their NDVI counterpart study with the related channels were employed.