A new narrow band vegetation index for characterizing the degree of vegetation stress due to copper: the copper stress vegetation index (CSVI)

2017 ◽  
Vol 8 (6) ◽  
pp. 576-585 ◽  
Author(s):  
Chengye Zhang ◽  
Huazhong Ren ◽  
Qiming Qin ◽  
Okan K Ersoy
Keyword(s):  
Vegetation Index ◽  
Narrow Band ◽  
Copper Stress ◽  
Vegetation Stress

scholarly journals The Photosynthetic Performance of Red Leaf Lettuce under UV-A Irradiation

Agronomy ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 761
Author(s):  
Giedre Samuoliene ◽  
Akvile Virsile ◽  
Jurga Miliauskienė ◽  
Perttu Haimi ◽  
Kristina Laužikė ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Narrow Band ◽  
Photosynthetic Performance ◽  
Photon Flux ◽  
Lactuca Sativa L ◽  
Key Points ◽  
Psii Photochemistry ◽  
Leaf Lettuce ◽  
Ambient Co2

The objective of this study was to evaluate how different UV-A wavelengths influence the morphology and photosynthetic behavior of red-leaf lettuce (Lactuca sativa L. cv. Maiko). In the experiments, the main photosynthetic photon flux consisted of red (R) and blue (B) light, supplemented with equal doses of different UV-A wavelengths (402, 387 and 367 nm). Treating the crops with low dosages of specific narrow-band UV-A radiation at key points in the life cycle initiated a cascade of responses in the above-ground biomass. According to the results, red-leaf lettuces acclimated to longer UV-A wavelengths by increasing biomass production, whereas different UV-A wavelengths had no significant effect on plant senescence reflectance, nor on the normalized difference vegetation index. A significant decrease in the maximum quantum yield of the PSII photochemistry of dark (Fv/Fm) and light (ΦPSII) adapted plants was observed. A lack of significant changes in non-photochemical fluorescence quenching indicates that photo-inhibition occurred under RBUV367, whereas the photosynthetic response under RB, RBUV402, and RBUV387 suggests that there was no damage to PSII. The correlation of the photosynthetic rate (Pr) with the stomatal conductance (gs) indicated that the increase in the Pr of lettuce under supplemental UV-A radiation was due to the increase of gs, instead of the ratio of the intracellular to ambient CO2 content (Ci/Ca) or stomatal limitations.

Spectral characteristics of copper-stressed vegetation leaves and further understanding of the copper stress vegetation index

2019 ◽  
Vol 40 (12) ◽  
pp. 4473-4488 ◽  
Author(s):  
Chengye Zhang ◽  
Huazhong Ren ◽  
Xiujuan Dai ◽  
Qiming Qin ◽  
Jun Li ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Spectral Characteristics ◽  
Copper Stress

scholarly journals Hyperspectral field reflectance measurements to estimate wheat grain yield and plant height

2006 ◽  
Vol 63 (2) ◽  
pp. 130-138 ◽  
Author(s):  
Alexandre Cândido Xavier ◽  
Bernardo Friedrich Theodor Rudorff ◽  
Mauricio Alves Moreira ◽  
Brummer Seda Alvarenga ◽  
José Guilherme de Freitas ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Narrow Band ◽  
Broad Band ◽  
Growth Stages ◽  
Sensing Applications ◽  
Field Reflectance ◽  
Reflectance Measurements

Hyperspectral crop reflectance data are useful for several remote sensing applications in agriculture, but there is still a need for studies to define optimal wavebands to estimate crop biophysical parameters. The objective of this work is to analyze the use of narrow and broad band vegetation indices (VI) derived from hyperspectral field reflectance measurements to estimate wheat (Triticum aestivum L.) grain yield and plant height. A field study was conducted during the winter growing season of 2003 in Campinas, São Paulo State, Brazil. Field canopy reflectance measurements were acquired at six wheat growth stages over 80 plots with four wheat cultivars (IAC-362, IAC-364, IAC-370, and IAC-373), five levels of nitrogen fertilizer (0, 30, 60, 90, and 120 kg of N ha-1) and four replicates. The following VI were analyzed: a) hyperspectral or narrow-band VI (1. optimum multiple narrow-band reflectance, OMNBR; 2. narrow-band normalized difference vegetation index, NB_NDVI; 3. first- and second-order derivative of reflectance; and 4. four derivative green vegetation index); and b) broad band VI (simple ratio, SR; normalized difference vegetation index, NDVI; and soil-adjusted vegetation index, SAVI). Hyperspectral indices provided an overall better estimate of biophysical variables when compared to broad band VI. The OMNBR with four bands presented the highest R² values to estimate both grain yield (R² = 0.74; Booting and Heading stages) and plant height (R² = 0.68; Heading stage). Best results to estimate biophysical variables were observed for spectral measurements acquired between Tillering II and Heading stages.

scholarly journals Drought Monitoring in the Dry Zone of Myanmar using MODIS Derived NDVI and Satellite Derived CHIRPS Precipitation Data

2018 ◽  
Vol 7 (2) ◽  
pp. 46 ◽  
Author(s):  
Rishiraj Dutta
Keyword(s):  
Real Time ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Extreme Event ◽  
Time Data ◽  
Vegetation Stress ◽  
Management Measures ◽  
Dry Zone ◽  
Negative Impacts ◽  
Real Time Information

Drought has become an increasingly frequent phenomena around the globe causing negative impacts on ecosystems, agriculture, and socio-economic conditions. While efforts have been underway for developing effective monitoring and risk management measures, it still remains a challenge in countries like Myanmar where access to observed and near real time data is a constraint. This study therefore, tries to derive correlations between MODIS Normalized Difference Vegetation Index (NDVI) and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data to see if some empirical relationships can be established. Statistical analysis showed that strong correlation (R² = 0.74 and 0.82) exist between NDVI and CHIRPS data indicating that vegetation stress conditions observed in the Dry Zone of Myanmar is due to insufficient precipitation conditions. The analysis also showed that the region had faced with three extreme conditions during the period from 1981-2015 with 2014 and 2015 being the extreme event. It further concluded that NDVI and CHIRPS could provide near real time information on vegetation stress situations of the Dry Zone of Myanmar.

Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection

2009 ◽  
Vol 113 (6) ◽  
pp. 1262-1275 ◽  
Author(s):  
P.J. Zarco-Tejada ◽  
J.A.J. Berni ◽  
L. Suárez ◽  
G. Sepulcre-Cantó ◽  
F. Morales ◽  
...  
Keyword(s):  
Chlorophyll Fluorescence ◽  
Narrow Band ◽  
Stress Detection ◽  
Vegetation Stress ◽  
Multispectral Camera

A Satellite Index of Risk of Forest Fire Occurrence in Summer in the Mediterranean Area

1998 ◽  
Vol 8 (4) ◽  
pp. 173 ◽  
Author(s):  
V Prosper-Laget ◽  
A Douguedroit ◽  
JP Guinot
Keyword(s):  
Forest Fire ◽  
Vegetation Index ◽  
Fire Risk ◽  
Mediterranean Area ◽  
Soil Water Deficit ◽  
Fire Occurrence ◽  
Risk Class ◽  
Noaa Avhrr ◽  
Vegetation Stress ◽  
Forest Fire Risk

An index of forest fire risk has been determined by using the vegetation index NDVI and the surface temperature Ts, computed from NOAA-AVHRR over 21 Mediterranean French forests. Those 2 satellite parameters can be interpreted in terms of soil water deficit and vegetation stress in summer. An inverse linear correlation between their values for each forest pixel of 10 dates in 1990 was used to establish the index which has been divided into 5 equal classes. Those classes correspond with 5 risk classes of forest fire occurrence which were mapped for several forests. Periods and areas in the highest risk class correspond with those where the most important number of fires appeared in that year for the studied forests. A statistical model of the period of highest fire risk has also been constructed for each forest.

Relationship between Narrow Band Normalized Deference Vegetation Index and Rice Agronomic Variables

2004 ◽  
Vol 35 (19-20) ◽  
pp. 2689-2708 ◽  
Author(s):  
Jingfeng Huang ◽  
Fumin Wang ◽  
Xiuzhen Wang ◽  
Yanlin Tang ◽  
Renchao Wang
Keyword(s):  
Vegetation Index ◽  
Narrow Band

Assessment of the application of copper stress vegetation index on Hyperion image in Dexing Copper Mine, China

2019 ◽  
Vol 13 (01) ◽  
pp. 1 ◽  
Author(s):  
Chengye Zhang ◽  
Huazhong Ren ◽  
Ziyi Huang ◽  
Jun Li ◽  
Qiming Qin ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Copper Stress ◽  
Copper Mine ◽  
Hyperion Image

scholarly journals Evaluation of Cotton Emergence Using UAV-Based Narrow-Band Spectral Imagery with Customized Image Alignment and Stitching Algorithms

2020 ◽  
Vol 12 (11) ◽  
pp. 1764 ◽  
Author(s):  
Aijing Feng ◽  
Jianfeng Zhou ◽  
Earl Vories ◽  
Kenneth A. Sudduth
Keyword(s):  
High Resolution ◽  
Crop Production ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Narrow Band ◽  
Image Alignment ◽  
Large Field ◽  
Percentage Error ◽  
Alignment Error ◽  
Crop Density

Crop stand count and uniformity are important measures for making proper field management decisions to improve crop production. Conventional methods for evaluating stand count based on visual observation are time consuming and labor intensive, making it difficult to adequately cover a large field. The overall goal of this study was to evaluate cotton emergence at two weeks after planting using unmanned aerial vehicle (UAV)-based high-resolution narrow-band spectral indices that were collected using a pushbroom hyperspectral imager flying at 50 m above ground. A customized image alignment and stitching algorithm was developed to process hyperspectral cubes efficiently and build panoramas for each narrow band. The normalized difference vegetation index (NDVI) was calculated to segment cotton seedlings from soil background. A Hough transform was used for crop row identification and weed removal. Individual seedlings were identified based on customized geometric features and used to calculate stand count. Results show that the developed alignment and stitching algorithm had an average alignment error of 2.8 pixels, which was much smaller than that of 181 pixels from the associated commercial software. The system was able to count the number of seedlings in seedling clusters with an accuracy of 84.1%. Mean absolute percentage error (MAPE) in estimation of crop density at the meter level was 9.0%. For seedling uniformity evaluation, the MAPE of seedling spacing was 9.1% and seedling spacing standard deviation was 6.8%. Results showed that UAV-based high-resolution narrow-band spectral images had the potential to evaluate cotton emergence.

scholarly journals Drought and vegetation stress monitoring in Portugal using satellite data

2009 ◽  
Vol 9 (1) ◽  
pp. 185-195 ◽  
Author(s):  
C. Gouveia ◽  
R. M. Trigo ◽  
C. C. DaCamara
Keyword(s):  
Soil Moisture ◽  
Vegetation Index ◽  
Arable Land ◽  
Mediterranean Ecosystems ◽  
Stress Monitoring ◽  
Cumulative Impact ◽  
Vegetation Stress ◽  
Drought Episode ◽  
Normalised Difference Vegetation Index ◽  
The Impact

Abstract. Remote sensed information on vegetation and soil moisture, namely the Normalised Difference Vegetation Index (NDVI) and the Soil Water Index (SWI), is employed to monitor the spatial extent, severity and persistence of drought episodes over Continental Portugal, from 1999 to 2006. The severity of a given drought episode is assessed by evaluating the cumulative impact over time of drought conditions on vegetation. Special attention is given to the drought episodes that have occurred in the last decade, i.e., 1999, 2002 and particularly the major event of 2005. During both the 1999 and 2005 drought episodes negative anomalies of NDVI are observed over large sectors of Southern Portugal for up to nine months (out of eleven) of the vegetative cycle. On the contrary, the 2002 event was characterized by negative anomalies in the northern half of Portugal and for a shorter period (eight out of eleven months). The impact of soil moisture on vegetation dynamics is evaluated by analyzing monthly anomalies of SWI and by studying the annual cycle of SWI vs. NDVI. While in the case of the drought episode of 1999 the scarcity of water in the soil persisted until spring, in the recent episode of 2005 the deficit in greenness was already apparent at the end of summer. The impact of dry periods on vegetation is clearly observed in both arable land and forest, and it is found that arable land presents a higher sensitivity. From an operational point of view, obtained results reveal the possibility of using the developed methodology to monitor, in quasi real-time, vegetation stress and droughts in Mediterranean ecosystems.

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