用途：PlantPen系列植物PRI & NDVI計是一款小巧的快速測量植物反射光譜指數(shù)的野外便攜式儀器，可根據(jù)反射系數(shù)確定植物特征。通過各種反射系數(shù)可以評定葉綠素含量，和其他重要的特征。有兩個標(biāo)準(zhǔn)版本光化學(xué)反射系數(shù)（Photochemical Reflectance Index，PRI）和歸一化植被指數(shù)（Normalized Difference Vegetation Index，NDVI）。整合了藍(lán)牙技術(shù)（藍(lán)牙模塊或USB軟件狗），F(xiàn)luorPen 1.1軟件提供可視化操作和數(shù)據(jù)傳輸?shù)絇C上。根據(jù)用戶需要，還可提供定制服務(wù)。

兩種標(biāo)準(zhǔn)版本：

■PRI 210植物光化學(xué)反射系數(shù)計：在531nm~570nm波段之間測定葉反射系數(shù)。該參數(shù)對類胡蘿卜素極為敏感，反應(yīng)植物的光合作用中的光能利用效率和CO2同化速率，并可作為植物水脅迫的可靠指數(shù)。因此廣泛用于植物產(chǎn)量和脅迫研究。

■NDVI 310植物歸一化植被指數(shù)計：用來測定NDVI（一種植物體葉綠素重要的指標(biāo)），在660nm~740nm波長處比較反射光。葉綠素會強(qiáng)烈吸收紅光用于光合作用，而葉片細(xì)胞結(jié)構(gòu)會強(qiáng)烈反射近紅外光。因此，NDVI與光合能力直接相關(guān)，從而反映植物冠層的能量吸收狀況。

應(yīng)用領(lǐng)域：

快速測量葉綠素含量

植物光合研究

早期脅迫檢測

氮素利用效率研究

功能特點：

攜帶方便、操作簡單。

直接無損測量得到NDVI和PRI值。

內(nèi)置藍(lán)牙與USB雙通訊模塊，GPS模塊，輸出帶時間戳的地理位置

軟件可導(dǎo)出數(shù)據(jù)為Excel格式，具備實時控制和遙控功能。

可用于農(nóng)業(yè)、林業(yè)以及植物學(xué)中光合作用、逆境脅迫等的研究和教學(xué)。

技術(shù)參數(shù)：

產(chǎn)地：捷克

PlantPen 手持式植被指數(shù)測量儀參考文獻(xiàn)列表

BARTAK M., HAJEK J.., MORKUSOVA J., ET AL. (2018). Dehydration-induced changes in spectral reflectance

indices and chlorophyll fluorescence of Antarctic lichens with different thallus color, and intrathalline

photobiont. Acta Physiologiae Plantarum, 40(10).

DOI: 10.1007/s11738-018-2751-3

CROFT H. AND CHEN J. (2018). Leaf Pigment Content. Reference Module in Earth Systems and

Environmental Sciences.

DOI: 10.1016/B978-0-12-409548-9.10547-0

FERNáNDEZ-MARíN, B., GARCíA-PLAZAOLA, J. I., HERNáNDEZ, A., & ESTEBAN, R. (2018). Plant Photosynthetic Pigments: Methods and Tricks for Correct Quantification and Identification. Advances in Plant Ecophysiology Techniques, 29–50.

DOI:10.1007/978-3-319-93233-0_3

JABRAN K. AND DO?AN M. N. (2018), High carbon dioxide concentration and elevated temperature impact

the growth of weeds but do not change the efficacy of glyphosate. Pest. Manag. Sci, 74: 766–771.

DOI:10.1002/ps.4788

TRNKOVá K. AND BARTáK M. (2017). Desiccation-induced changes in photochemical processes of

photosynthesis and spectral reflectance in Nostoc commune (Cyanobacteria, Nostocales) colonies from

polar regions. Phycological Res. Volume 65.

DOI:10.1111/pre.12157

BARTáK M., HAZDROVá J., SKáCELOVá K., ET AL. (2016). Dehydration - induced responses of primary

photosynthetic processes and spectral reflectance indices in Antarctic Nostoc commune. CZECH POLAR

REPORTS 6(1): 87-95

MENDON?A L. L. R., ALVES F. R., CHAGAS E. N., et al. (2016). Management of Meloidogyne javanica with

biological pesticides and oils in a lettuce field. Nematoda. Volume 3.

DOI: 10.4322/nematoda.01515

LóPEZ-LóPEZ M., CALDERóN R., GONZáLEZ-DUGO V., ET L . (2016). Early Detection and Quantification of

Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery. Remote Sens.

Volume 8.

DOI:10.3390/rs8040276

BARTáK M., TRNKOVá K., HANSEN E.S. ET AL. (2015). Effect of dehydration on spectral reflectance and

photosynthetic efficiency in UMBILICARIA ARCTICA and U. HYPERBOREA. Biol Plant. 59.

DOI: 10.1007/s10535-015-0506-1

CALDERóN R., LUCENA C., TRAPERO-CASAS J. L. ET. AL. (2014). Soil temperature determines the reaction of olive c*rs to Verticillium dahliae pathotypes. PLoS One. Volume 9

DOI: 10.1371/journal.pone.0110664

CALDERóN, R., ZARCO-TEJADA, P.J., LUCENA, C. ET AL. (2013). High-resolution airborne hyperspectral and

thermal imagery for pre-visual detection of Verticillium wilt using fluorescence, temperature and narrowbａnd indices, Remote Sensing of Environment. Volume 139 Pages, 231-245.

DOI: 10.1016/j.rse.2013.07.031

ZARCO-TEJADA P.J., GUILLEN-CLIMENT M.L., HERNANDEZ-CLEMENTE R. ET AL. (2013): Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle. Agricultural and Forest Meteorology 171-172. Pages. 281-294.

DOI: 10.1016/j.agrformet.2012.12.013

JUPA R., HáJEK J., HAZDROVá J. ET AL. (2012). Interspecific differences in photosynthetic efficiency and

spectral reflectance in two Umbilicaria species from Svalbard during controlled desiccation. Czech Polar

Reports, Brno, Volume 2, Pages 31-41.

DOI: 10.5817/CPR2012-1-4

KOVáR, M., VEVERKOVá, E. AND ?ERNY, I. (2012). Utilization of Enfrared Thermography and Leaf Reflectance Indices in Evaluation of Effects of the Treatment of Sunflower (Helianthus annuus L.) by Biologically Active Compounds. Acta fytotechnica et zootechnica. Volume 15, Pges 23-28

SHRESTHA S., BRUECK H. AND ASCH F. (2012). Chlorophyll index, photochemical reflectance index and

chlorophyll fluorescence measurements of rice leaves supplied with different N levels. Journal of

Photochemistry and Photobiology B: Biology. Volume 113, Pages 7–13

DOI: 10.1016/j.jphotobiol.2012.04.008

ZARCO-TEJADA P.J., GONZALES-DUGO V. AND BERNI J.A.J. (2012): Fluorescence, temperature and narrow-bａnd indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sensing of Environment. Volume, 117. Pages 322-337.

DOI: 10.1016/j.rse.2011.10.007

CHYTYK, C. J., HUCL, P. J. AND GRAY, G. R. (2011). Leaf photosynthetic properties and biomass accumulation

of selected western Canadian spring wheat c*rs. Canadian Journal of Plant of Science. Volume 91,

Pages 305-314.

DOI: 10.4141/CJPS09163