Utilization of Vegetation Indices to Interpret the Possibility of Oil and Gas Microseepages at Ground Surface

Susantoro, Tri Muji; Wikantika, Ketut; Saepuloh, Asep; Harsolumakso, Agus Handoyo

doi:10.1088/1755-1315/145/1/012012

Cited by 4 publications

(7 citation statements)

References 16 publications

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“…A similar pattern can be seen over vegetated areas, which can estimate temporal changes using combined optical and radar Sentinel data. [47] Landsat-8 Multispectral image…”

Section: Literaturementioning

confidence: 99%

“…The distinctiveness of the proposed technique from the conventional techniques can be elucidated in two forms-(i) data used and (ii) methodology adopted. (i) Data used: It is seen that the works of literature [38][39][40][41][42][43][44][45][46][47] use multispectral, hyperspectral, radar, and optical images. The proposed technique uses pan-sharpened versions of the multispectral images, which are available in the portals [1][2][3][4] .…”

Section: Significance Of the Proposed Techniquementioning

confidence: 99%

“…This data uniqueness indicates that the conventional vegetation detection/indices depend on the band difference and fusion of the bands in the images. (ii) Methodology adopted: While seeing the contributions in the closely related literature works [38][39][40][41][42][43][44][45][46][47] to this work, either single or combination of metrics (max. up to eight metrics) are used to validate the technique's effectiveness for LULCC and vegetation detection applications.…”

Section: Significance Of the Proposed Techniquementioning

confidence: 99%

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Effectiveness of Super-Resolution Technique on Vegetation Indices

Rohith

Kumar

2021

IEEE Access

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The identification and interpretation of remote sensed (RS) objects in an image depend on how well the sensor captures the region. In rare cases, RS images may be vulnerable to a lack of interpretability issues in some parts of the image due to the sensor's limits and preprocessing techniques. Conventionally, the interpretation of the land cover pattern's shape and size is apparent when the distance between the sensor and object is closer to the visualization level of objects and viable with digital airborne imagery. In this paper, integration of the Super-Resolution (SR) technique in the high-resolution imagery to achieve the closer visualization level for mapping the vegetation is proposed. This approach enables the higher interpretive potential to define the land pattern's shape and size with very high spatial resolution, closer proximity, detailed and distinguishable patterns. This approach helps to precisely predict the total vegetated study area for land use and land cover changes (LULCC) and chlorophyll-rich vegetation applications. The proposed algorithm is carried out in two phases. In the first phase, the SR technique applied test images are tested for vegetation detection and mapping the vegetation information in a region with fourteen vegetation metrics. In the second phase, similar testing is done without applying SR for input test images. The experiment revealed that test images using the SR technique yielded higher average values of 5 percent and 1.1 percent for the Normalized Difference Vegetation Index (NDVI) and Fractional Vegetation Cover (FVC), respectively, as compared to images tested using the non-SR technique.

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“…A similar pattern can be seen over vegetated areas, which can estimate temporal changes using combined optical and radar Sentinel data. [47] Landsat-8 Multispectral image…”

Section: Literaturementioning

confidence: 99%

Section: Significance Of the Proposed Techniquementioning

confidence: 99%

Section: Significance Of the Proposed Techniquementioning

confidence: 99%

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Effectiveness of Super-Resolution Technique on Vegetation Indices

Rohith

Kumar

2021

IEEE Access

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“…Space imaging with panchromatic and multispectral cameras makes it possible to identify oilfield infrastructure facilities [10], wood cutting areas [11], soil subsidence areas [12], relatively large oil spills [13][14][15], and to evaluate vegetation dynamics using the available long-term image archives [16]. Aerial photography in panchromatic mode also makes it possible to record facilities of the oilfield infrastructure, spills, cuttings [17], and monitor the integrity of pipelines [18].…”

mentioning

confidence: 99%

“…Date the pictures were taken It may be more informative to use an improved version, the Enhanced Normalized Difference Vegetation Index (ENVI), which, in addition to the near infrared, also uses green and blue channels. This is evidenced by the experience of identifying sites subject to hydrocarbon pollution in Indonesia [13].…”

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confidence: 99%

The use of unmanned aerial photography for interpreting the technogenic transformation of the natural environment during the oilfield operation

Buzmakov

Sannikov

Kuchin

et al. 2023

PMI

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The traditional approach to monitoring observations of the technogenic processes development in oilfields, which consists in determining the concentration of marker pollutants in various natural environments, does not provide the necessary completeness of information and the efficiency of its receipt. The paper considers an example of expanding the range of observations due to unmanned aerial photography and a number of other methods. Interpretation signs (for panchromatic survey) were determined that register such consequences of technogenic transformation of the natural environment as mechanogenesis, bitumization, and halogenesis. Technogenic mechanogenesis is understood as a physical violation of the integrity of ecosystems, the movement of soils and grounds. Bitumization is expressed in the migration of petroleum hydrocarbons through soils, ground, surface, subsurface, and underground waters, and their destruction. Salt migration in these media is defined as halogenesis. The most reliable indicators are linearly elongated areas of dead forests, dark red spots in drying microdepressions and reservoirs. It was found out that the oilfield impact on the raised bog leads to anthropogenic eutrophication, the introduction of plant species, uncharacteristic coenotic groups, the replacement of subshrubs with grasses, and morphometric changes in forest pine. In the peat deposits of the disturbed area, an unusual interlayer of whitish, undecomposed moss was recorded. The moment of the beginning of a pronounced technogenic transformation was registered in the course of work with the archive of multispectral space images. Continuous remote sensing with the help of unmanned aerial photography and interpretation by sedimentological, geobotanical methods significantly expand the possibilities of studying the technogenic transformation of the natural environment. To ensure environmental safety, it is advisable to develop remote methods and technologies to include them in the environmental monitoring system.

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The Application of Sentinel-2 Data for Automatic Forest Cover Changes Assessment – Białowieża Primeval Forest Case Study

Pelc‐Mieczkowska

2021

Civil and Environmental Engineering Reports

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Sentinel-2 mission, as a part of European Space Agency Earth Observation Program Copernicus, designed specifically for Earth surface observations provides images in 13 bands. That imaging is used to analyse many subject areas as Land monitoring, Emergency management, Security and Climate change. In the presented paper the application of Sentinel-2 data for automatic forest cover changes detection has been analysed. As input data, B02, B03, B04 and B08 bands have been used to compute Normalized Difference Vegetation Index (NDVI) and Enhanced Normalized Difference Vegetation Index (ENDVI). To track changes in the forest cover over the years, for each pixel the difference in the value of vegetation indices between consecutive years have been calculated. Then the threshold was set at the level of 0.15. The values of differences above the threshold mean a significant decrease in the quality of vegetation and may be considered areas of deforestation.

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Utilization of Vegetation Indices to Interpret the Possibility of Oil and Gas Microseepages at Ground Surface

Cited by 4 publications

References 16 publications

Effectiveness of Super-Resolution Technique on Vegetation Indices

Effectiveness of Super-Resolution Technique on Vegetation Indices

The use of unmanned aerial photography for interpreting the technogenic transformation of the natural environment during the oilfield operation

The Application of Sentinel-2 Data for Automatic Forest Cover Changes Assessment – Białowieża Primeval Forest Case Study

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