Remote Sensing

Estes, J. E.; Kline, K.; Collins, E.F.

doi:10.1016/b0-08-043076-7/02526-2

Cited by 10 publications

(4 citation statements)

References 1 publication

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“…Definisi penginderaan jauh Menurut Estes et al (2001), penginderaan jauh merupakan teknik yang dikembangkan untuk memperoleh informasi tentang bumi dalam bentuk radiasi elektromagnetik yang dipantulkan atau dipancarkan dari permukaan bumi. Tiap obyek akan memiliki karakteristik masing-masing dalam interaksinya terhadap gelombang elektromagnetik.…”

Section: Pendahuluanunclassified

Pemanfaatan Normalized Green Red Difference Index (Ngrdi) Untuk Menduga Kadar N-Total Pada Lahan Padi Di Kabupaten Pamekasan

Rida,

Wicaksono

2023

JTSL

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Inefficient fertilization is the cause of decreased rice production. This is due to the inappropriate use of fertilizers. The absence of information on soil nitrogen content in their area causes farmers not to apply fertilizer properly. Analysis of soil nitrogen content in Pamekasan Regency requires much time, cost, and effort. Remote sensing methods can be used to obtain information on soil nitrogen levels by reducing the number of samples used. This study aims to estimate nitrogen content in rice fields using the vegetation index in the form of NGRDI (Normalized Green Red Difference Index). This research was conducted by purposive random sampling method based on 40 land map units formed in Pamekasan Regency, laboratory analysis, statistical analysis, and making distribution maps. The results showed that there was a significant relationship between the NGRDI pixel value and the nitrogen content, with a correlation value of -0.42. The regression equation results obtained from the NGRDI value with nitrogen content are y = -0.269x + 0.139. The accuracy test was carried out by the RMSE method, and the result was 0.027. This shows that the NGRDI index can estimate soil nitrogen content in Pamekasan Regency

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Section: Pendahuluanunclassified

Pemanfaatan Normalized Green Red Difference Index (Ngrdi) Untuk Menduga Kadar N-Total Pada Lahan Padi Di Kabupaten Pamekasan

Rida,

Wicaksono

2023

JTSL

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“…The main objective of data mining is to find the implicit value in the acquired data to improve the decision-making process. Remote sensing can be used to develop information products aimed to assist in the decision-making workflow [10]. Then, it benefits from the analysis of the hidden correlation in the large volume of data, resulting in functional knowledge [11].…”

Section: Introductionmentioning

confidence: 99%

Gabor Features Extraction and Land-Cover Classification of Urban Hyperspectral Images for Remote Sensing Applications

et al. 2021

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The principles of the transform stage of the extract, transform and load (ETL) process can be applied to index the data in functional structures for the decision-making inherent in an urban remote sensing application. This work proposes a method that can be utilised as an organisation stage by reducing the data dimension with Gabor texture features extracted from grey-scale representations of the Hue, Saturation and Value (HSV) colour space and the Normalised Difference Vegetation Index (NDVI). Additionally, the texture features are reduced using the Linear Discriminant Analysis (LDA) method. Afterwards, an Artificial Neural Network (ANN) is employed to classify the data and build a tick data matrix indexed by the belonging class of the observations, which could be retrieved for further analysis according to the class selected to explore. The proposed method is compared in terms of classification rates, reduction efficiency and training time against the utilisation of other grey-scale representations and classifiers. This method compresses up to 87% of the original features and achieves similar classification results to non-reduced features but at a higher training time.

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“…Remote sensing is one of the fast-growing geospatial technologies, progressively influencing a wide range of areas such as commerce, science, and applied research as well as public policy (Estes et al 2001). By definition, remote sensing relates to the science and technology of obtaining information about the earth's surface without any direct physical contact (Campbell and Wynne, 2011).…”

Section: Introductionmentioning

confidence: 99%

Urban vegetation classification with high-resolution PlanetScope and SkySat multispectral imagery

Szabó

Abriha²,

Phinzi³

et al. 2021

Landsc. environ.

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In this study two high-resolution satellite imagery, the PlanetScope, and SkySat were compared based on their classification capabilities of urban vegetation. During the research, we applied Random Forest and Support Vector Machine classification methods at a study area, center of Rome, Italy. We performed the classifications based on the spectral bands, then we involved the NDVI index, too. We evaluated the classification performance of the classifiers using different sets of input data with ROC curves and AUC values. Additional statistical analyses were applied to reveal the correlation structure of the satellite bands and the NDVI and General Linear Modeling to evaluate the AUC of different models. Although different classification methods did not result in significantly differing outcomes (AUC values between 0.96 and 0.99), SVM’s performance was better. The contribution of NDVI resulted in significantly higher AUC values. SkySat’s bands provided slightly better input data related to PlanetScope but the difference was minimal (~3%); accordingly, both satellites ensured excellent classification results.

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Remote Sensing

Cited by 10 publications

References 1 publication

Pemanfaatan Normalized Green Red Difference Index (Ngrdi) Untuk Menduga Kadar N-Total Pada Lahan Padi Di Kabupaten Pamekasan

Pemanfaatan Normalized Green Red Difference Index (Ngrdi) Untuk Menduga Kadar N-Total Pada Lahan Padi Di Kabupaten Pamekasan

Gabor Features Extraction and Land-Cover Classification of Urban Hyperspectral Images for Remote Sensing Applications

Urban vegetation classification with high-resolution PlanetScope and SkySat multispectral imagery

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