The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus

Αγαπίου, Άθως; Hadjimitsis, Diofantos G.; Papoutsa, Christiana; Alexakis, Dimitrios D.; Papadavid, George

doi:10.3390/rs3122605

Cited by 76 publications

(40 citation statements)

References 37 publications

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“…From examples carried out from the authors (not shown here) it was found that without atmospheric correction, OOMW index can give even negative values in pixels with OOMW disposal areas. Image-based atmospheric corrections algorithms, as those of the DP method, can be easily applied by users and solved this problem [Agapiou et al, 2011].…”

Section: Discussionmentioning

confidence: 99%

Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum

Αγαπίου

Papadopoulos

Sarris

2015

European Journal of Remote Sensing

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This paper aims to introduce an index which is able to assist the recognition of Olive Oil Mill Wastes (OOMW) disposal areas using multispectral satellite images. For this purpose several ground spectroradiometric measurements in the range of 450 -900 nm have been collected at a variety of targets. The samples were initially resampled to the GeoEye-1 sensor using the appropriate Relative Spectral Response Filter (RSR) and then scatter plots and spectral signatures were projected. Then an evaluation of nine widely used vegetation indices was performed. This analysis indicated that, Perpendicular Vegetation Index (PVI), Transformed Soil Adjusted Vegetation Index (TSAVI) and Soil and Atmospherically Resistant Vegetation Index (SARVI) are the most efficient indices to enhance the detection of Olive Mill Waste disposal areas. Moreover, correlation as well as separability analysis have shown than blue and near infrared (NIR) spectral bands are the most suitable for interpretation purposes. The Olive Mill Waste index was applied also to GeoEye-1 in different cases studies in the island of Crete.

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Section: Discussionmentioning

confidence: 99%

Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum

Αγαπίου

Papadopoulos

Sarris

2015

European Journal of Remote Sensing

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“…the effects of the atmosphere must be taken into account (Hadjimitsis et al 2010 andAgapiou et al 2011). Ratio form of NDVI makes it susceptible to variations in atmospheric conditions, surface conditions, topography, and sensor characteristics, none of which has any relationship with vegetation (Gitelson 2004 andRahetlah et al 2014).…”

Section: Discussionmentioning

confidence: 98%

Estimation of Mangrove Carbon Stocks by Applying Remote Sensing and GIS Techniques

et al. 2015

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This paper presents a methodological framework for predicting C stock in Avicennia marina stands in the Thane creek of Mumbai. This methodology combines ground-based (GB) and remote sensing (RS) approaches for C stock estimation. RS based approach use Normalized differential vegetation index (NDVI), Light use efficiency (LUE) and Photo-synthetically Active Radiation (PAR) as the most important parameters for C stock estimation. The sensitivity of NDVI values to aerosols, water vapor and ozone was removed using the 6S radiative transfer code. The difference in NDVI values before and after atmospheric correction was assessed using student's t-test and was found to be statistically significant. The total carbon stock of the area was observed to be about 39.7188 t/ha. The bias estimation between C stock calculated using allometry and RS approaches confirmed the prediction accuracy and validated both the techniques (R 2 = 0.964 and bias=0.915 %). The paper, thus, reports a statistically robust framework, which is a combination of the RS and GB approaches, and can be used for estimating the biomass and carbon stock of any ecosystem. This framework is especially effective where forest inventory data is unavailable, the site is geographically inaccessible or harvesting of mangroves or other trees is prohibited.

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“…In this example (see Agapiou et al 2011b) an archive series of Landsat dataset is being used over the archaeological sites of "Nea Paphos" and "Palaepaphos" in Cyprus ( …”

Section: Atmospheric Correction Of Archive Satellite Datamentioning

confidence: 99%

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

Themistocleous

Αγαπίου

Cuca

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4 KEY WORDS: remote sensing archaeology, UAV, ground spectroscopy, crop marks, cultural heritage ABSTRACT:Remote sensing has open up new dimensions in archaeological research. Although there has been significant progress in increasing the resolution of space/aerial sensors and image processing, the detection of the crop (and soil marks) formations, which relate to buried archaeological remains, are difficult to detect since these marks may not be visible in the images if observed over different period or at different spatial/spectral resolution. In order to support the improvement of earth observation remote sensing technologies specifically targeting archaeological research, a better understanding of the crop/soil marks formation needs to be studied in detail. In this paper the contribution of both Unmanned Aerial Systems as well ground spectroradiometers is discussed in a variety of examples applied in the eastern Mediterranean region (Cyprus and Greece) as well in Central Europe (Hungary). In-situ spectroradiometric campaigns can be applied for the removal of atmospheric impact to simultaneous satellite overpass images. In addition, as shown in this paper, the systematic collection of ground truth data prior to the satellite/aerial acquisition can be used to detect the optimum temporal and spectral resolution for the detection of stress vegetation related to buried archaeological remains. Moreover, phenological studies of the crops from the area of interest can be simulated to the potential sensors based on their Relative Response Filters and therefore prepare better the satellite-aerial campaigns. Ground data and the use of Unmanned Aerial Systems (UAS) can provide an increased insight for studying the formation of crop and soil marks. New algorithms such as vegetation indices and linear orthogonal equations for the enhancement of crop marks can be developed based on the specific spectral characteristics of the area. As well, UAS can be used for remote sensing applications in order to document, survey and model cultural heritage and archaeological sites.

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The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus

Cited by 76 publications

References 37 publications

Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum

Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum

Estimation of Mangrove Carbon Stocks by Applying Remote Sensing and GIS Techniques

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

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