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Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology

Takeshi Motohka, Kenlo Nishida Nasahara, Hiroyuki Oguma, Satoshi Tsuchida
2010 Remote Sensing  
We evaluated the use of the Green-Red Vegetation Index (GRVI) as a phenological indicator based on multiyear stand-level observations of spectral reflectance and phenology at several representative ecosystems  ...  We found that GRVI has the following advantages as a phenological indicator: (1) "GRVI = 0" can be a site-independent single threshold for detection of the early phase of leaf green-up and the middle phase  ...  The data of leaf area index of FHK site was provided by Tetsuo Okano (Shinshu University, Japan).  ... 
doi:10.3390/rs2102369 fatcat:mk2p2ne7jvc2hixt4pj5bs4s2a

Monitoring canopy phenology in a deciduous broadleaf forest using the Phenological Eyes Network (PEN)

Jeong-Pil Choi, Sin-Kyu Kang, Gwang-Yong Choi, Kenlo Nishda Nasahara, Takeshi Motohka, Jong-Hwan Lim
2011 Journal of Ecology and Environment  
Satellite remote sensing imagery is useful for the spatial continuous monitoring of vegetation phenology across broad regions; however, its applications are substantially constrained by atmospheric disturbances  ...  , and daily phenological progressions at the canopy level were assessed using ratios of red, green, and blue (RGB) spectral reflectances obtained by the PEN system.  ...  of spectral vegetation indices from satellite remote sensing data.  ... 
doi:10.5141/jefb.2011.017 fatcat:wxsskp27jzc7hgtdfaplkx73mu

Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges

Trylee Nyasha Matongera, Onisimo Mutanga, Mbulisi Sibanda, John Odindi
2021 Remote Sensing  
Long term monitoring of LSP provides large potential for the evaluation of interactions and feedbacks between climate and vegetation.  ...  The normalized difference vegetation index (NDVI) pioneered LSP investigations, and most other spectral vegetation indices were primarily developed to address the weaknesses and shortcomings of the NDVI  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13112060 fatcat:7r76xji7gzg7blwo2pq55zqmp4

npphen: an R-package for non-parametric reconstruction of vegetation phenology and anomaly detection using remote sensing [article]

Sergio A Estay, Roberto Chavez
2018 bioRxiv   pre-print
Among these features, plant phenology is one of the most used variables in any study applying remote sensing to plant ecology and it has formally considered as one of the Essential Biodiversity Variables  ...  Currently, satellite imagery make possible cost-efficient monitoring of land surface phenology (LSP), but methods applicable to different ecosystems are not available.  ...  Because anomaly detection requires Remote sensing based vegetation indices such as the Normalized Difference Vegetation Index (NDVI, Tucker 1979) or the Enhanced Vegetation Index (EVI, Huete et. al.  ... 
doi:10.1101/301143 fatcat:cbe32kyunrdgtnmqdgnria2poi

Monitoring Maize ( L.) Phenology with Remote Sensing

Andrés Viña, Anatoly A. Gitelson, Donald C. Rundquist, Galina Keydan, Bryan Leavitt, James Schepers
2004 Agronomy Journal  
Visible atmospherically resistant indices provided tassels emerge, termed VT), and (iii) initiation of senessignificant information for crop phenology monitoring as they allowed cence (date at which green  ...  than widely used vegetation  ...  These are called vegeta-Maize phenology is generally divided into vegetative tion indices and are widely used for remote sensing of (from emergence to tasseling according to the number vegetative canopies  ... 
doi:10.2134/agronj2004.1139 fatcat:5lyhmqegabdehdhbg5guksrcwi

A R-SHINY BASED PHENOLOGY ANALYSIS SYSTEM AND CASE STUDY USING DIGITAL CAMERA DATASET

Y. K. Zhou
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, we proposed a R-shiny based web application for vegetation phenological parameters extraction and analysis.  ...  Its main functions include phenological site distribution visualization, ROI (Region of Interest) selection, vegetation index calculation and visualization, data filtering, growth trajectory fitting, phenology  ...  ACKNOWLEDGEMENTS We acknowledge support from the project of National Natural Science Foundation of China (2016, Grant No.41601478, 41571391)  ... 
doi:10.5194/isprs-archives-xlii-3-2571-2018 fatcat:7pbb3hnnnbabxoy6xjb3gzqyda

Study of the Variations of Archaeological Marks at Neolithic Site of Lucera, Italy Using High-Resolution Multispectral Datasets

Athos Agapiou, Vasiliki Lysandrou, Rosa Lasaponara, Nicola Masini, Diofantos Hadjimitsis
2016 Remote Sensing  
This paper aims to present some of the current difficulties of "remote sensing archaeology" in terms of detection and interpretation of crop marks due to the crops' phenological variations.  ...  QuickBird and GeoEye high-resolution satellite images were analysed, indicating that vegetation indices may mismatch some crop marks depending on the phenological stage of the vegetation cultivated in  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs8090723 fatcat:yxwaf35wwzgolm5yzl5j73dbvu

Detecting Underground Military Structures Using Field Spectroscopy [chapter]

George Melillos, Kyriacos Themistocleous, Athos Agapiou, Silas Michaelides, Diofantos Hadjimitsis
2019 Military Engineering [Working Title]  
Satellite remote sensing is considered as an increasingly important technology for detecting underground structures.  ...  However, there is a great need to integrate information from a variety of sources, sent at different times and of different qualities using remote sensing tools.  ...  Acknowledgements Acknowledgments are due to the Remote Sensing Laboratory of the Department of Civil Engineering and Geomatics, "ERATOSTHENES Research Centre" at the Cyprus University of Technology, for  ... 
doi:10.5772/intechopen.86690 fatcat:o3gk5kdpfrdm3gf6ur2cwolx74

Applications of Remote Sensing in Agriculture - A Review

P. Shanmugapriya, S. Rathika, T. Ramesh, P. Janaki
2019 International Journal of Current Microbiology and Applied Sciences  
(MODIS) Indication of canopy water content Fensholt and Sandholt (2003) Triangular Greenness Index TGI=-0.5[(RED-BLUE)(RED- GREEN)-(RED-GREEN)(RED- BLUE)] BLUE: 450-520 GREEN: 520-600  ...  Vegetation phenology metrics characterize vegetation phenology and are used to develop summary regional data for research on agro-ecosystem attributes (after Reed et al., 1994) Time of maximum greenness  ... 
doi:10.20546/ijcmas.2019.801.238 fatcat:y3izcdudlbaszevd4v3vzrg3qm

Monitoring vegetation phenology using MODIS

Xiaoyang Zhang, Mark A. Friedl, Crystal B. Schaaf, Alan H. Strahler, John C.F. Hodges, Feng Gao, Bradley C. Reed, Alfredo Huete
2003 Remote Sensing of Environment  
The method uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.  ...  In this paper, a new methodology to monitor global vegetation phenology from time series of satellite data is presented.  ...  Monitoring phenology using remote sensing For this work, the annual cycle of vegetation phenology inferred from remote sensing is characterized by four key transition dates, which define the key phenological  ... 
doi:10.1016/s0034-4257(02)00135-9 fatcat:3aax4qvt4zbfjkpbz5sn4vdlue

Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation

Helen Anderson, Lennart Nilsen, Hans Tømmervik, Stein Karlsen, Shin Nagai, Elisabeth Cooper
2016 Remote Sensing  
The GRVI (Green-Red Vegetation Index) is calculated as (G DN − R DN )/(G DN + R DN ) where G DN is Green digital number and R DN is Red digital number.  ...  To remotely monitor vegetation at temporal and spatial resolutions unobtainable with satellite-based systems, near remote sensing systems must be employed.  ...  It was supported by the ESA Prodex project 'Sentinel-2 for High North Vegetation Phenology' (contract No. 4000110654), the EC FP7 collaborative project 'Sentinels Synergy Framework' (SenSyF), funding from  ... 
doi:10.3390/rs8100847 fatcat:34oxv5aspzab5dty36eeghtzcm

Advantages of visible-band spectral remote sensing at both satellite and near-surface scales for monitoring the seasonal dynamics of GPP in a Japanese larch forest

Reiko IDE, Tatsuro NAKAJI, Takeshi MOTOHKA, Hiroyuki OGUMA
2011 Journal of Agricultural Meteorology  
Remotely sensed vegetation indices such as the normalized difference vegetation index (NDVI) or enhanced vegetation index (EVI) have been used to scale up flux-based gross primary production (GPP) measurements  ...  We evaluated the suitability of both traditional (NDVI and EVI) and VIS_indices (the greenred vegetation index (GRVI) and green ratio (GR)) at both satellite and near-surface scales for GPP estimation.  ...  Financial support was provided by Ministry of Environment (No. D-0909).  ... 
doi:10.2480/agrmet.67.2.4 fatcat:3y34zkjiybdhdbqztbuk64akgu

A Broadband Green-Red Vegetation Index for Monitoring Gross Primary Production Phenology

Gaofei Yin, Aleixandre Verger, Adrià Descals, Iolanda Filella, Josep Peñuelas
2022 Journal of Remote Sensing  
The chlorophyll/carotenoid index (CCI) is increasingly used for remotely tracking the phenology of photosynthesis. However, CCI is restricted to few satellites incorporating the 531 nm band.  ...  This study opens the door for GPP and photosynthetic phenology monitoring from a wide set of sensors with broadbands in the green and red spectral regions.  ...  Jiangliu Xie, Hongfan Gu, and Huiqin Pan are appreciated for collecting the data.  ... 
doi:10.34133/2022/9764982 fatcat:isymx5b7nrdnjo2663mkonu3mu

Evaluating the Potentials of Sentinel-2 for Archaeological Perspective

Athos Agapiou, Dimitrios Alexakis, Apostolos Sarris, Diofantos Hadjimitsis
2014 Remote Sensing  
In addition, several existing vegetation indices have been also assessed for all sensors.  ...  OPEN ACCESS Remote Sens. 2014, 6 2177  ...  Moreover thanks are given to the ‗Remote Sensing and Geo-Environment Lab' of the Department of Civil Engineering and Geomatics at the Cyprus University of Technology for the support Author Contributions  ... 
doi:10.3390/rs6032176 fatcat:5eyh3rmmzbacfkkxhnpmbnb7qm

森林生態系の光合成:生理生態学と衛星観測の融合による長期・広域評価

村岡 裕由, 野田 響, 斎藤 琢, 永井 信, 奈佐原 顕郎
2012 BSJ-Review  
Long-term and regional scale observation of forest canopy photosynthesis by linking plant ecophysiology and satellite remote sensing.  ...  Applicability of green-red vegetation index for remote sensing of vegetation phenology. Remote Sensing 2: 2369-2387. Muraoka, H. & Koizumi, H. 2009.  ...  Remote Sensing of Environment Nasahara, K.N., Muraoka, H., Akiyama, T. & Tsuchida, S. 2010a. Field experiments to test the use of the normalized difference vegetation index for phenology detection.  ... 
doi:10.24480/bsj-review.3a5.00027 fatcat:qor77swccbhtpbtngxqejyyrsq
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