scholarly journals Assessment of Weed Classification Using Hyperspectral Reflectance and Optimal Multispectral UAV Imagery

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1435
Author(s):  
Nik Norasma Che’Ya ◽  
Ernest Dunwoody ◽  
Madan Gupta
Keyword(s):  
Sorghum Bicolor ◽  
Spatial Resolution ◽  
Hyperspectral Data ◽  
Cyperus Rotundus ◽  
Multispectral Images ◽  
Weed Species ◽  
Weed Detection ◽  
Multispectral Data ◽  
Spectral Bands ◽  
Sorghum Bicolor L

Weeds compete with crops and are hard to differentiate and identify due to their similarities in color, shape, and size. In this study, the weed species present in sorghum (sorghum bicolor (L.) Moench) fields, such as amaranth (Amaranthus macrocarpus), pigweed (Portulaca oleracea), mallow weed (Malva sp.), nutgrass (Cyperus rotundus), liver seed grass (Urochoa panicoides), and Bellive (Ipomea plebeian), were discriminated using hyperspectral data and were detected and analyzed using multispectral images. Discriminant analysis (DA) was used to identify the most significant spectral bands in order to discriminate weeds from sorghum using hyperspectral data. The results demonstrated good separation accuracy for Amaranthus macrocarpus, Urochoa panicoides, Malva sp., Cyperus rotundus, and Sorghum bicolor (L.) Moench at 440, 560, 680, 710, 720, and 850 nm. Later, the multispectral images of these six bands were collected to detect weeds in the sorghum crop fields using object-based image analysis (OBIA). The results showed that the differences between sorghum and weed species were detectable using the six selected bands, with data collected using an unmanned aerial vehicle. Here, the highest spatial resolution had the highest accuracy for weed detection. It was concluded that each weed was successfully discriminated using hyperspectral data and was detectable using multispectral data with higher spatial resolution.

scholarly journals Fusing China GF-5 Hyperspectral Data with GF-1, GF-2 and Sentinel-2A Multispectral Data: Which Methods Should Be Used?

2020 ◽  
Vol 12 (5) ◽  
pp. 882 ◽  
Author(s):  
Kai Ren ◽  
Weiwei Sun ◽  
Xiangchao Meng ◽  
Gang Yang ◽  
Qian Du
Keyword(s):  
Spatial Resolution ◽  
Comprehensive Evaluation ◽  
Evaluation Study ◽  
Hyperspectral Data ◽  
Modulation Transfer ◽  
Multispectral Data ◽  
Spectral Bands ◽  
Spectral Fidelity ◽  
Fusion Methods ◽  
Sentinel 2A

The China GaoFen-5 (GF-5) satellite sensor, which was launched in 2018, collects hyperspectral data with 330 spectral bands, a 30 m spatial resolution, and 60 km swath width. Its competitive advantages compared to other on-orbit or planned sensors are its number of bands, spectral resolution, and swath width. Unfortunately, its applications may be undermined by its relatively low spatial resolution. Therefore, the data fusion of GF-5 with high spatial resolution multispectral data is required to further enhance its spatial resolution while preserving its spectral fidelity. This paper conducted a comprehensive evaluation study of fusing GF-5 hyperspectral data with three typical multispectral data sources (i.e., GF-1, GF-2 and Sentinel-2A (S2A)), based on quantitative metrics, classification accuracy, and computational efficiency. Datasets on three study areas of China were utilized to design numerous experiments, and the performances of nine state-of-the-art fusion methods were compared. Experimental results show that LANARAS (this method was proposed by lanaras et al.), Adaptive Gram–Schmidt (GSA), and modulation transfer function (MTF)-generalized Laplacian pyramid (GLP) methods are more suitable for fusing GF-5 with GF-1 data, MTF-GLP and GSA methods are recommended for fusing GF-5 with GF-2 data, and GSA and smoothing filtered-based intensity modulation (SFIM) can be used to fuse GF-5 with S2A data.

scholarly journals Temporal expression of the sor1 gene and inhibitory effects of Sorghum bicolor L. Moench on three weed species

2014 ◽  
Vol 28 (3) ◽  
pp. 361-366 ◽  
Author(s):  
Roseane Cavalcanti dos Santos ◽  
Gabriela de Morais Guerra Ferraz ◽  
Manoel Bandeira de Albuquerque ◽  
Liziane Maria de Lima ◽  
Péricles de Albuquerque Melo Filho ◽  
...  
Keyword(s):  
Sorghum Bicolor ◽  
Inhibitory Effects ◽  
Temporal Expression ◽  
Weed Species ◽  
Sorghum Bicolor L

scholarly journals Joint Spatial-spectral Resolution Enhancement of Multispectral Images with Spectral Matrix Factorization and Spatial Sparsity Constraints

2020 ◽  
Vol 12 (6) ◽  
pp. 993 ◽  
Author(s):  
Chen Yi ◽  
Yong-qiang Zhao ◽  
Jonathan Cheung-Wai Chan ◽  
Seong G. Kong
Keyword(s):  
Spatial Resolution ◽  
Spectral Resolution ◽  
High Spatial Resolution ◽  
Resolution Enhancement ◽  
Multispectral Image ◽  
Observation Model ◽  
Multispectral Images ◽  
Spectral Matrix ◽  
Spectral Bands ◽  
Landsat 7

This paper presents a joint spatial-spectral resolution enhancement technique to improve the resolution of multispectral images in the spatial and spectral domain simultaneously. Reconstructed hyperspectral images (HSIs) from an input multispectral image represent the same scene in higher spatial resolution, with more spectral bands of narrower wavelength width than the input multispectral image. Many existing improvement techniques focus on spatial- or spectral-resolution enhancement, which may cause spectral distortions and spatial inconsistency. The proposed scheme introduces virtual intermediate variables to formulate a spectral observation model and a spatial observation model. The models alternately solve spectral dictionary and abundances to reconstruct desired high-resolution HSIs. An initial spectral dictionary is trained from prior HSIs captured in different landscapes. A spatial dictionary trained from a panchromatic image and its sparse coefficients provide high spatial-resolution information. The sparse coefficients are used as constraints to obtain high spatial-resolution abundances. Experiments performed on simulated datasets from AVIRIS/Landsat 7 and a real Hyperion/ALI dataset demonstrate that the proposed method outperforms the state-of-the-art spatial- and spectral-resolution enhancement methods. The proposed method also worked well for combination of exiting spatial- and spectral-resolution enhancement methods.

scholarly journals Spectral Discrimination and Reflectance Properties of Various Vine Varieties from Satellite, UAV and Proximate Sensors

2015 ◽  
Vol XL-7/W3 ◽  
pp. 31-37 ◽  
Author(s):  
C. Karakizi ◽  
M. Oikonomou ◽  
K. Karantzalos
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Atmospheric Correction ◽  
Hyperspectral Data ◽  
Sensor Data ◽  
Sauvignon Blanc ◽  
Multispectral Data ◽  
Spectral Bands ◽  
Spectral Discrimination

An assessment of the spectral discrimination between different vine varieties was undertaken using non-destructive remote sensing observations at the véraison period. During concurrent satellite, aerial and field campaigns, in-situ reflectance data were collected from a spectroradiometer, hyperspectral data were acquired from a UAV and multispectral data from a high-resolution satellite imaging sensor. Data were collected during a three years period (i.e, 2012, 2013 and 2014) over five wine-growing regions, covering more than 1000ha, in Greece. Data for more than twenty different vine varieties were processed and analysed. In particular, reflectance hyperspectral data from a spectroradiometer (GER 1500, Spectra Vista Corporation, 350-1050nm, 512 spectral bands) were calculated from the raw radiance values and then were correlated with the corresponding reflectance observations from the UAV and satellite data. Reflectance satellite data (WorldView-2, 400nm-1040nm, 8 spectral bands, DigitalGlobe), after the radiometric and atmospheric correction of the raw datasets, were classified towards the detection and the discrimination of the different vine varieties. The concurrent observations from in-situ hyperspectral, aerial hyperspectral and satellite multispectral data over the same vines were highly correlated. High correlations were, also, established for the same vine varieties (e.g., Syrah, Sauvignon Blanc) cultivated in different regions. The analysis of in-situ reflectance indicated that certain vine varieties, like Merlot, Sauvignon Blanc, Ksinomavro and Agiorgitiko possess specific spectral properties and detectable behaviour. These observations were, in most cases, in accordance with the classification results from the high resolution satellite data. In particular, Merlot and also Sauvignon Blanc were detected and discriminated with high accuracy rates. Surprisingly different clones from the same variety could be separated (e.g., clones of Syrah), while they were confused with other varieties (e.g., with Riesling).

scholarly journals Herbicidas na cultura do feijão (Phaseolus Vulgaris L.): controle, fitotoxicidade e persistência no solo

1978 ◽  
Vol 1 (1) ◽  
pp. 25-37 ◽  
Author(s):  
R. Victoria Filho ◽  
C. Godoy Junior
Keyword(s):  
Phaseolus Vulgaris ◽  
Sorghum Bicolor ◽  
Cyperus Rotundus ◽  
Phaseolus Vulgaris L ◽  
Sorghum Bicolor L

A presente pesquisa foi conduzida através de dois ensaios com os herbicidas trifluralin, nitralin e EPTC em duas doses cada, procurando-se verificar o controle das plantas daninhas, observar os possíveis efeitos fitotóxicos à cultura após reaplicação no mesmo ano agrícola e determinar os possíveis resíduos no solo, no início do ano agrícola seguinte, que pudessem afe tar culturas rensiveis. O desenvolvimento da cultura foi observado por meio de pesos de matéria seca de folhas, caules e vagens, durante o ciclo, obtendo -se, também, a produção de vagens no fim do ciclo. A determinação dos possíveis residuos no solo, foi realizada através de bio-ensaios de radículas e caulículos, utilizando-se o sorgo (Sorghum bicolor (L.) Moench.) como planta teste. Houve um bom controle das plantas daninhas pelos herbicidas utilizados. A tiririca (Cyperus rotundus L.) só foi controlada pelo EPTC. O picão-preto (Bidenspilosa L.) e a guanxuma (Sida spp.) não foram controlados. Nenhum dos herbicidas apresentou fitotoxicidade à planta de feijão, mesmo após reaplicação no mesmo ano agrícola, e não foram constatados resíduos no ano agrícola seguinte no solo, após a reaplicação no ano agrícola anterior.

scholarly journals Sensor Simulation based Hyperspectral Image Enhancement with Minimal Spectral Distortion

2014 ◽  
Vol II-8 ◽  
pp. 179-185 ◽  
Author(s):  
A. Khandelwal ◽  
K. S. Rajan
Keyword(s):  
Image Enhancement ◽  
Spatial Resolution ◽  
Hyperspectral Image ◽  
Rank Correlation ◽  
Hyperspectral Data ◽  
High Spectral Resolution ◽  
Composition Analysis ◽  
Remotely Sensed Data ◽  
Multispectral Data ◽  
Spectral Signatures

In the recent past, remotely sensed data with high spectral resolution has been made available and has been explored for various agricultural and geological applications. While these spectral signatures of the objects of interest provide important clues, the relatively poor spatial resolution of these hyperspectral images limits their utility and performance. In this context, hyperspectral image enhancement using multispectral data has been actively pursued to improve spatial resolution of such imageries and thus enhancing its use for classification and composition analysis in various applications. But, this also poses a challenge in terms of managing the trade-off between improved spatial detail and the distortion of spectral signatures in these fused outcomes. This paper proposes a strategy of using vector decomposition, as a model to transfer the spatial detail from relatively higher resolution data, in association with sensor simulation to generate a fused hyperspectral image while preserving the inter band spectral variability. The results of this approach demonstrates that the spectral separation between classes has been better captured and thus helped improve classification accuracies over mixed pixels of the original low resolution hyperspectral data. In addition, the quantitative analysis using a rank-correlation metric shows the appropriateness of the proposed method over the other known approaches with regard to preserving the spectral signatures.

scholarly journals The Integrated Effect Between Low Doses of Herbicide Glyphosate and Plant Extracts in Management of Carrot Crop Daucus carota L. var. sativa Weeds

2021 ◽  
Vol 39 (3) ◽  
Author(s):  
Amjad Al Youssef ◽  
◽  
Ghassan Ibrahim ◽  
Anwar Al Mouemar ◽  
◽  
...  
Keyword(s):  
Sorghum Bicolor ◽  
Plant Extracts ◽  
Amaranthus Retroflexus ◽  
Matter Content ◽  
Cyperus Rotundus ◽  
Recommended Dose ◽  
Dry Matter Content ◽  
Weed Species ◽  
Daucus Carota L ◽  
Herbicide Glyphosate

This study was carried out at Abu Jarash Farm and Weed Laboratory, Faculty of Agriculture, Damascus University, during 2017 winter to investigate the integrated effect of the non-selective herbicide Glyphosate (360 g/l) (Lancer®) and plant extracts of some weeds: sorghum (Sorghum bicolor L.), alfalfa (Medicago sativa L.) and bermuda grass (Cynodon dactylon L.) by using one third and one fourth of the recommended doses of the herbicide mixed with plant extracts for weed management of plots planted with carrot. The integration between herbicide and plant extracts led to 100% weed control when the herbicide was used at 25% of the recommended dose, and was equally effective to that of the recommended dose. The benefits are cost reduction and decrease of harmful effects of synthetic herbicides to the environment. On the other hand, Sorghum bicolor extract was significantly effective in controlling all tested weed species (82.1% effectiveness on Chenopodium album (most sensitive), plant height of wild barley Hordeum murinum L. was 3.8 cm, dry matter content of 4.96% for purple nutsedge, Cyperus rotundus L. and 6.58% for hairy amaranth, Amaranthus retroflexus L. Keywords: Integration, herbicides, plant extracts, reduced doses, weeds

scholarly journals Efeitos da adubação fosfatada nas relações de interferência entre sorgo granífero e tiririca: I. Crescimento inicial

1997 ◽  
Vol 15 (2) ◽  
pp. 114-121
Author(s):  
Eduardo A. L. Erasmo ◽  
Robinson A. Pitelli
Keyword(s):  
Sorghum Bicolor ◽  
Cyperus Rotundus ◽  
Sorghum Bicolor L

Com o objetivo de estudar os efeitos da aplicação de doses crescentes de fósforo sobre alguns parâmetros de cr es cimento inicial de plantas de Sorghum bicolor (L.) Moench (sorgo) e Cyperus rotundus L. (tiririca) desenvolvidas isoladas ou em convivência, foi conduzido um experimento em vasos, sob condições de casa de vegetação. O delineamento experimental utilizado foi o inteiramente casualizado com cinco repetições, send que os tratamentos experimentais foram dispostos em esquema fatorial 3 x 6, onde constituíram variáveis: três condições de vegetação nos vasos (3 plantas de sorgo por vaso; população proveniente do plantio de quatro tubérculos de C. rotundus por vaso; três plantas de sorgo em convivência com a população proveniente do plantio de quatro tubérculos de C. rotundus por vaso) e seis doses de de fósforo (0,25, 50, 100, 150 e 200 mg/kg de P). Para efeito da análise estatística dos dados foi considerado dentro de cada espécie um fatorial de 2 x 6, ou seja duas condições (isolado e convivência) e seis doses de fósforo. A fase experimental teve uma duração de 50 dia s. Com base nos resultados obtidos foi verificado que ambas espécies responderam de forma crescente à elevação da dose de adubação fosfatada, ocorrendo um incremento em todas as características avaliadas, sempre em menor grau quando crescidas juntas. Este aumento só foi significativo até a dose de 100 mg/kg de P para a tir irica e 150 mg/kg de P na cultura do sorgo, quando ambas se desenvolveram isoladamente. Já em convivência, a cultura do sorgo respondeu significativamente somente a partir da dose de 50 mg/kg, sendo precisamente nestas primeiras doses onde a tiririca exerceu seu maior poder de interferência, reduzindo significativamente a área foliar e acúmulo de matéria seca em folhas e colmos de sorgo. Por sua vez, a cultura de sorgo foi mais competitiva nas maiores doses de fósforo (150 e 200 mg/kg), o que pode estar provavelmente relacionado ao maior poder de sombreamento imposto pelo cultivo sobre a planta daninha. A presença do sorgo diminuiu a área foliar e o número e acúmulo de matéria seca em brotações e tubérculos de Cyperus rotundus. Com a elevação da dose de aplicação de fósforo, a tiririca apresentou uma maior alocação de matéria seca para parte aérea, do que para tubérculos.

scholarly journals AMELIORATING THE SPATIAL RESOLUTION OF HYPERION HYPERSPECTRAL DATA. THE CASE OF ANTIPAROS ISLAND

2017 ◽  
Vol 43 (3) ◽  
pp. 1627
Author(s):  
K. Nikolakopoulos ◽  
Ev. Gioti ◽  
G. Skianis ◽  
D. Vaiopoulos
Keyword(s):  
Spatial Resolution ◽  
Aegean Sea ◽  
Hyperspectral Data ◽  
Pass Filter ◽  
Multispectral Data ◽  
High Pass Filter ◽  
Mean And Variance ◽  
Local Mean ◽  
The Common ◽  
High Pass

In this study seven fusion techniques and more especially the Ehlers, Gram-Schmidt, High Pass Filter, Local Mean Matching (LMM), Local Mean and Variance Matching (LMVM), Pansharp and PCA, were used for the fusion of Hyperion hyperspectral data with ALI panchromatic data. The panchromatic data have a spatial resolution of 10m while the hyperspectral data have a spatial resolution of 30m. All the fusion techniques are designed for use with classical multispectral data. Thus, it is quite interesting to investigate the assessment of the common used fusion algorithms with the hyperspectral data. The study area is Antiparos Island in the Aegean Sea.

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