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PlantPen叶夹式PRI&NDVI测量仪

名称:PlantPen叶夹式PRI&NDVI测量仪         型号: PlantPen         产地:捷克

PlantPen测量仪是一种快速测量植物反射光谱指数的野外便携式仪器。PlantPen的两种标准版配置分别测量NDVI和PRI这两种应用最为广泛的植被指数。用户也可以定制其他参数。

PlantPen PRI 210:PRI (Photochemical Reflectance Index) 光化学反射指数是通过计算植物叶片对531nm和570nm两个波长光反射而得到的参数。该参数对类胡萝卜素极为敏感,反应植物的光合作用中的光能利用效率和CO2同化速率,并可作为植物水胁迫的可靠指数。因此广泛用于植物产量和胁迫研究。

PlantPen NDVI 310:NDVI (Normalized Difference Vegetation Index)归一化植被指数是通过计算植物叶片对红光和近红外两个波长光反射而得到的参数,是反映植物叶绿素含量的一个重要参数。叶绿素会强烈吸收红光用于光合作用,而叶片细胞结构会强烈反射近红外光。因此,NDVI与光合能力直接相关,从而反映植物冠层的能量吸收状况。

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应用领域:

快速测量叶绿素含量

植物光合研究

早期胁迫检测

氮素利用效率研究

功能特点:

携带方便、操作简单。

直接无损测量得到NDVI和PRI值。

内置蓝牙与USB双通讯模块,GPS模块,输出带时间戳的地理位置

软件可导出数据为Excel格式,具备实时控制和遥控功能。

可用于农业、林业以及植物学中光合作用、逆境胁迫等的研究和教学。

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技术参数:

测量参数

PRI(光化学反射指数)=(R531-R570)/(R531 + R570)参考:Sellers等。(1985)

NDVI(归一化差异营养指数)=(R740-R660)/(R740 + R660)参考文献:Rouse等。(1974年)

测量光

PRI 210:内部双波长光源R531 = 531nm,R570 = 570nm

NDVI 310:内部双波长光源VIS = 635nm,NIR = 760nm

探测波长范围

PRI 210: 500-600 nm;

NDVI 310:620-750 nm

软件适用系统

Win7及以上

样品夹

机械式叶夹

Bios

可升级固件

存储容量

16M

通讯模式

USB或蓝牙

内部数据采集

100,000个

显示

图形显示

键盘

密封防水设计2键

自动关机

无操作5分钟后

节电模式

自动休眠

电源

可充电锂电池

充电方式

USB充电

电池容量

2000 mAh

最大充电电流

0.5 A

电池寿命

连续工作70小时

低电探测

显示低电量报警

尺寸

135x 65 x 33 mm

重量

188g

工作环境

温度0-55℃,湿度0-95%非冷凝环境

存储环境

温度-10~60℃,湿度0-95%非冷凝环境

 

产地:捷克

PlantPen 手持式植被指数测量仪参考文献列表


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

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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 DOĞAN 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

MENDONÇA 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 cultivars 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 ČERNÝ, 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 cultivars. Canadian Journal of Plant of Science. Volume 91,

Pages 305-314.

DOI: 10.4141/CJPS09163


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