{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T00:30:13Z","timestamp":1774571413199,"version":"3.50.1"},"reference-count":86,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T00:00:00Z","timestamp":1541635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Multisource remote sensing data acquisition has been increased in the last years due to technological improvements and decreased acquisition cost of remotely sensed data and products. This study attempts to fuse different types of prospection data acquired from dissimilar remote sensors and explores new ways of interpreting remote sensing data obtained from archaeological sites. Combination and fusion of complementary sensory data does not only increase the detection accuracy but it also increases the overall performance in respect to recall and precision. Moving beyond the discussion and concerns related to fusion and integration of multisource prospection data, this study argues their potential (re)use based on Bayesian Neural Network (BNN) fusion models. The archaeological site of V\u00e9szt\u0151-M\u00e1gor Tell in the eastern part of Hungary was selected as a case study, since ground penetrating radar (GPR) and ground spectral signatures have been collected in the past. GPR 20 cm depth slices results were correlated with spectroradiometric datasets based on neural network models. The results showed that the BNN models provide a global correlation coefficient of up to 73%\u2014between the GPR and the spectroradiometric data\u2014for all depth slices. This could eventually lead to the potential re-use of archived geo-prospection datasets with optical earth observation datasets. A discussion regarding the potential limitations and challenges of this approach is also included in the paper.<\/jats:p>","DOI":"10.3390\/rs10111762","type":"journal-article","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T03:08:02Z","timestamp":1541732882000},"page":"1762","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Beyond GIS Layering: Challenging the (Re)use and Fusion of Archaeological Prospection Data Based on Bayesian Neural Networks (BNN)"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9106-6766","authenticated-orcid":false,"given":"Athos","family":"Agapiou","sequence":"first","affiliation":[{"name":"Department of Civil Engineering and Geomatics, Eratosthenes Research Center, Cyprus University of Technology, Saripolou 2-8, Limassol 3036, Cyprus"}]},{"given":"Apostolos","family":"Sarris","sequence":"additional","affiliation":[{"name":"Laboratory of Geophysical-Satellite Remote Sensing and Archaeo-Environment, Foundation for Research and Technology, Hellas (F.O.R.T.H.), 74100 Rethymno, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Banaszek, \u0141., Cowley, D.C., and Middleton, M. (2018). Towards National Archaeological Mapping. Assessing Source Data and Methodology\u2014A Case Study from Scotland. Geosciences, 8.","DOI":"10.3390\/geosciences8080272"},{"key":"ref_2","first-page":"19","article-title":"Recent Trends and Long-standing Problems in Archaeological Remote Sensing","volume":"1","author":"Opitz","year":"2018","journal-title":"J. Comput. Appl. Archaeol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Leisz, S.J. (2013). An overview of the application of remote sensing to archaeology during the twentieth century. Mapping Archaeological Landscapes from Space, Springer.","DOI":"10.1007\/978-1-4614-6074-9_2"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/s10816-017-9338-y","article-title":"Integration of Complementary Archaeological Prospection Data from a Late Iron Age Settlement at Vesterager\u2014Denmark","volume":"25","author":"Filzwieser","year":"2018","journal-title":"J. Archaeol. Method Theory"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Agapiou, A., Lysandrou, V., Sarris, A., Papadopoulos, N., and Hadjimitsis, D.G. (2017). Fusion of Satellite Multispectral Images Based on Ground-Penetrating Radar (GPR) Data for the Investigation of Buried Concealed Archaeological Remains. Geosciences, 7.","DOI":"10.3390\/geosciences7020040"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1016\/j.future.2018.06.022","article-title":"Multi-spectral and panchromatic image fusion approach using stationary wavelet transform and swarm flower pollination optimization for remote sensing applications","volume":"88","author":"Gharbia","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.3390\/s90201167","article-title":"Detection of neolithic settlements in thessaly (Greece) through multispectral and hyperspectral satellite imagery","volume":"9","author":"Alexakis","year":"2009","journal-title":"Sensors"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.jas.2010.08.013","article-title":"Integrated GIS, remote sensing and geomorphologic approaches for the reconstruction of the landscape habitation of Thessaly during the Neolithic period","volume":"38","author":"Alexakis","year":"2011","journal-title":"J. Archaeol. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2040","DOI":"10.1016\/j.jas.2010.10.024","article-title":"Remote sensing applications and archaeological research in the Northern Lagoon of Venice: The case of the lost settlement of Constanciacus","volume":"38","author":"Traviglia","year":"2011","journal-title":"J. Archaeol. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.jas.2008.07.002","article-title":"Remote sensing techniques for reconstructing a vast Neolithic settlement in Southern Italy","volume":"36","author":"Gallo","year":"2009","journal-title":"J. Archaeol. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.culher.2018.01.001","article-title":"Improved detection of archaeological features using multi-source data in geographically diverse capital city sites","volume":"33","author":"Yu","year":"2018","journal-title":"J. Cult. Herit."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.crte.2018.06.010","article-title":"Remote-sensing data-based Archaeological Predictive Model (APM) for archaeological site mapping in desert area, South Morocco","volume":"350","author":"Nsanziyera","year":"2018","journal-title":"C. R. Geosci."},{"key":"ref_13","first-page":"363","article-title":"Monitoring cultural landscapes from space: Evaluating archaeological sites in the Basin of Mexico using very high resolution satellite imagery","volume":"10","author":"Morehart","year":"2016","journal-title":"J. Archaeol. Sci. Rep."},{"key":"ref_14","first-page":"464","article-title":"Beyond modern landscape features: New insights in the archaeological area of Tiwanaku in Bolivia from satellite data","volume":"26","author":"Lasaponara","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Agapiou, A., Lysandrou, V., and Hadjimitsis, D.G. (2017). Optical Remote Sensing Potentials for Looting Detection. Geosciences, 7.","DOI":"10.3390\/geosciences7040098"},{"key":"ref_16","first-page":"230","article-title":"Reconstruction of a Mediterranean coast archaeological site by integration of geophysical and archaeological data: The eastern district of the ancient city of Nora (Sardinia, Italy)","volume":"20","author":"Piegari","year":"2018","journal-title":"J. Archaeol. Sci. Rep."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Balkaya, \u00c7., Kalyoncuo\u011flu, \u00dc.Y., \u00d6zhanl\u0131, M., Merter, G., \u00c7akmak, O., and Talih G\u00fcven, \u0130. (2018). Ground-penetrating radar and electrical resistivity tomography studies in the biblical Pisidian Antioch city, southwest Anatolia. Archaeol. Prospect., 1\u201316.","DOI":"10.1002\/arp.1708"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1002\/arp.1583","article-title":"An application of integration approaches for archaeo-geophysical data: Case study from Aizanoi","volume":"25","author":"Piro","year":"2018","journal-title":"Archaeol. Prospect."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1002\/arp.1589","article-title":"Archaeological prospection of a specialized cooking-pit site at Lunde in Vestfold, Norway","volume":"25","author":"Gustavsen","year":"2018","journal-title":"Archaeol. Prospect."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.15184\/aqy.2015.102","article-title":"The data deluge","volume":"89","author":"Bevan","year":"2015","journal-title":"Antiquity"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Orengo, H., and Petrie, C. (2017). Large-Scale, Multi-Temporal Remote Sensing of Palaeo-River Networks: A Case Study from Northwest India and its Implications for the Indus Civilisation. Remote Sens., 9.","DOI":"10.20944\/preprints201706.0117.v1"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1080\/17538947.2016.1250829","article-title":"Remote sensing heritage in a petabyte-scale: Satellite data and heritage Earth Engine\u00a9 applications","volume":"10","author":"Agapiou","year":"2017","journal-title":"Int. J. Digit. Earth"},{"key":"ref_23","first-page":"299","article-title":"Testing Google Earth Engine for the automatic identification and vectorization of archaeological features: A case study from Faynan, Jordan","volume":"15","author":"Liss","year":"2017","journal-title":"J. Archaeol. Sci. Rep."},{"key":"ref_24","unstructured":"Hansen, S., Raczky, P., Anders, A., and Reingruber, A. (2012). Settlement Nucleation in the Neolithic: A Preliminary Report of the K\u00f6r\u00f6s Regional Archaeological Project\u2019s Investigations at Szeghalom-Kov\u00e1cshalom and V\u00e9szt\u0151-M\u00e1gor. Neolithic and Copper Age between the Carpathians and the Aegean Sea: Chronologies and Technologies from the 6th to the 4th Millennium BCE, Dr. Rudolf Habelt. International Workshop Budapest 2012."},{"key":"ref_25","unstructured":"Ecsedy, I., Kov\u00e1cs, L., Mar\u00e1z, B., and Torma, I. (1982). V\u00e9szt\u0151-M\u00e1gori-domb. Magyarorsz\u00e1g R\u00e9g\u00e9szeti Topogr\u00e1fi\u00e1ja VI, Akad\u00e9miai Kiad\u00f3. B\u00e9k\u00e9s Megye R\u00e9g\u00e9szeti Topogr\u00e1fi\u00e1ja: A Szeghalmi J\u00e1r\u00e1s 1982 IV\/1."},{"key":"ref_26","unstructured":"T\u00e1las, L., and Raczky, P. (1987). V\u00e9szt\u0151-M\u00e1gor: A Settlement of the Tisza Culture. The Late Neolithic of the Tisza Region: A Survey of Recent Excavations and Their Findings, Szolnok County Museums."},{"key":"ref_27","unstructured":"Makkay, J. (2004). V\u00e9szt\u0151\u2013M\u00e1gor. \u00c1sat\u00e1s a Sz\u00fcl\u0151f\u00f6ld\u00f6n, B\u00e9k\u00e9s Megyei M\u00fazeumok Igazgat\u00f3s\u00e1ga."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.jaa.2005.06.002","article-title":"Tribal Boundaries: Stylistic Variability and Social Boundary Maintenance during the Transition to the Copper Age on the Great Hungarian Plain","volume":"25","author":"Parkinson","year":"2006","journal-title":"J. Anthropol. Archaeol."},{"key":"ref_29","unstructured":"Koll\u00e1r, T. (2000). A Csolt nemzets\u00e9g monostora. A k\u00f6z\u00e9pkori D\u00e9l-Alf\u00f6ld \u00e9s Szer, Csongr\u00e1d Megyei Lev\u00e9lt\u00e1r."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1454","DOI":"10.1016\/j.jas.2012.11.001","article-title":"Integration of geophysical surveys, ground hyperspectral measurements, aerial and satellite imagery for archaeological prospection of prehistoric sites: The case study of V\u00e9szt\u02ddo-M\u00e1gor Tell, Hungary","volume":"40","author":"Sarris","year":"2013","journal-title":"J. Archaeol. Sci."},{"key":"ref_31","unstructured":"Papadopoulos, C., Paliou, E., Chrysanthi, A., Kotoula, E., and Sarris, A. (2015). 3D pseudo GPR sections based on NDVI values: Fusion of optical and active remote sensing techniques at the V\u00e9szto-M\u00e1gor tell, Hungary. Archaeological Research in the Digital Age, Proceedings of the 1st Conference on Computer Applications and Quantitative Methods in Archaeology Greek Chapter (CAA-GR), Rethymno Crete, Greece, 6\u20138 March 2014, Institute for Mediterranean Studies-Foundation of Research and Technology (IMS-Forth)."},{"key":"ref_32","unstructured":"Agapiou, A. (2012). Development of a Novel Methodology for the Detection of Buried Archaeological Remains Using Remote Sensing Techniques. [Ph.D. Thesis, Cyprus University of Technology]. (In Greek). Available online: http:\/\/ktisis.cut.ac.cy\/handle\/10488\/6950."},{"key":"ref_33","unstructured":"Neal, R.M. (2012). Bayesian Learning for Neural Networks, Springer Science & Business Media."},{"key":"ref_34","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., and Harlan, J.C. (1974). Monitoring the Vernal Advancements and Retrogradation (Greenwave Effect) of Nature Vegetation, NASA. NASA\/GSFC Final Report."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/0034-4257(94)00114-3","article-title":"Estimating PAR absorbed by vegetation from bidirectional reflectance measurements","volume":"51","author":"Roujean","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1046\/j.1469-8137.1999.00424.x","article-title":"Assessing leaf pigment content and activity with a reflectometer","volume":"143","author":"Gamon","year":"1999","journal-title":"New Phytol."},{"key":"ref_37","first-page":"15","article-title":"Distinguishing vegetation from soil background information","volume":"43","author":"Richardson","year":"1977","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_38","unstructured":"Pearson, R.L., and Miller, L.D. (1972, January 2\u20136). Remote Mapping of Standing Crop Biomass and Estimation of the Productivity of the Short Grass Prairie, Pawnee National Grasslands, Colorado. Proceedings of the 8th International Symposium on Remote Sensing of the Environment, Ann Arbor, MI, USA."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/0034-4257(91)90009-U","article-title":"Potentials and limits of vegetation indices for LAI and APAR assessment","volume":"35","author":"Baret","year":"1991","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","article-title":"A modified soil adjusted vegetation index","volume":"48","author":"Qi","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/36.134076","article-title":"Atmospherically resistant vegetation index (ARVI) for EOS-MODIS","volume":"30","author":"Kaufman","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/BF00031911","article-title":"GEMI: A non-linear index to monitor global vegetation from satellites","volume":"101","author":"Pinty","year":"1992","journal-title":"Plant Ecol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/0034-4257(95)00186-7","article-title":"Optimization of soil-adjusted vegetation indices","volume":"55","author":"Rondeaux","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/TGRS.2003.812910","article-title":"Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data","volume":"41","author":"Gong","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","unstructured":"Kim, M.S., Daughtry, C.S.T., Chappelle, E.W., McMurtrey, J.E., and Walthall, C.L. (1994, January 17\u201321). The Use of High Spectral Resolution Bands for Estimating Absorbed Photosynthetically Active Radiation (APAR). Proceedings of the 6th Symposium on Physical Measurements and Signatures in Remote Sensing, Val D\u2019Isere, France."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2005.09.002","article-title":"Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy","volume":"99","author":"Miller","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_48","unstructured":"Gandia, S., Fern\u00e1ndez, G., Garc\u00eda, J.C., and Moreno, J. (2004, January 28\u201330). Retrieval of Vegetation Biophysical Variables from CHRIS\/PROBA Data in the SPARC Campaing. Proceedings of the 4th ESA CHRIS PROBA Workshop, Frascati, Italy."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0034-4257(00)00113-9","article-title":"Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance","volume":"74","author":"Daughtry","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.rse.2003.12.013","article-title":"Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture","volume":"90","author":"Haboudane","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(02)00010-X","article-title":"Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages","volume":"81","author":"Sims","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.rse.2005.01.019","article-title":"Comparison of spectral indices obtained using multiple spectroradiometers","volume":"103","author":"Rivard","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/0034-4257(95)00195-6","article-title":"Retrieving leaf area index of boreal conifer forests using Landsat Thematic Mapper","volume":"55","author":"Chen","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5403","DOI":"10.1080\/0143116042000274015","article-title":"The MERIS terrestrial chlorophyll index","volume":"25","author":"Dash","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/1011-1344(93)06963-4","article-title":"Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves","volume":"22","author":"Gitelson","year":"1994","journal-title":"J. Photochem. Photobiol. B Biol."},{"key":"ref_56","first-page":"750","article-title":"High spectral resolution: Determination of spectral shifts between the red and near infrared","volume":"11","author":"Guyot","year":"1988","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2727","DOI":"10.1080\/01431169508954588","article-title":"Reflectance assessment of mite effects on apple trees","volume":"16","author":"Filella","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","first-page":"221","article-title":"Semi-empirical indices to assess carotenoids\/chlorophyll-a ratio from leaf spectral reflectance","volume":"31","author":"Penuelas","year":"1995","journal-title":"Photosynthetica"},{"key":"ref_59","unstructured":"Vincini, M., Frazzi, E., and D\u2019Alessio, P. (2006, January 19\u201321). Angular Dependence of Maize and Sugar Beet Vis from Directional CHRIS\/PROBA Data. Proceedings of the 4th ESA CHRIS PROBA Workshop, Frascati, Italy."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"663","DOI":"10.2307\/1936256","article-title":"Derivation of leaf area index from quality of light on the forest floor","volume":"50","author":"Jordan","year":"1969","journal-title":"Ecology"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2691","DOI":"10.1080\/014311697217558","article-title":"Remote estimation of chlorophyll content in higher plant leaves","volume":"18","author":"Gitelson","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0034-4257(98)00046-7","article-title":"Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in eucalyptus leaves","volume":"66","author":"Datt","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S0034-4257(02)00018-4","article-title":"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture","volume":"81","author":"Haboudane","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/S0034-4257(00)00197-8","article-title":"Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density","volume":"76","author":"Broge","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1080\/01431169308953986","article-title":"Red edge spectral measurements from sugar maple leaves","volume":"14","author":"Vogelmann","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/S0034-4257(02)00113-X","article-title":"Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects","volume":"84","author":"Pushnik","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1562\/0031-8655(2001)074<0038:OPANEO>2.0.CO;2","article-title":"Optical properties and nondestructive estimation of anthocyanin content in plant leaves","volume":"74","author":"Gitelson","year":"2001","journal-title":"Photochem. Photobiol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1562\/0031-8655(2002)075<0272:ACCIPL>2.0.CO;2","article-title":"Assessing carotenoid content in plant leaves with reflectance spectroscopy","volume":"75","author":"Gitelson","year":"2002","journal-title":"Photochem. Photobiol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/S0176-1617(96)80081-2","article-title":"Detection of vegetation stress via a new high resolution fluorescence imaging system","volume":"148","author":"Lichtenthaler","year":"1996","journal-title":"J. Plant Physiol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/0034-4257(94)90136-8","article-title":"Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves","volume":"48","author":"Gamon","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/0098-8472(92)90034-Y","article-title":"A reappraisal of the use of DMSO for the extraction and determination of chlorophylls a and b in lichens and higher plants","volume":"32","author":"Barnes","year":"1992","journal-title":"Environ. Exp. Bot."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1007\/s004420050337","article-title":"The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels","volume":"112","author":"Gamon","year":"1997","journal-title":"Oecologia"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1111\/j.1399-3054.1996.tb00204.x","article-title":"Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI)","volume":"96","author":"Filella","year":"1996","journal-title":"Physiol. Plant."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1034\/j.1399-3054.1999.106119.x","article-title":"Nondestructive optical detection of pigment changes during leaf senescence and fruit ripening","volume":"106","author":"Merzlyak","year":"1999","journal-title":"Physiol. Plant."},{"key":"ref_75","first-page":"243","article-title":"Detecting sub-surface soil disturbance using hyperspectral first derivative band rations of associated vegetation stress","volume":"27","author":"White","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1887","DOI":"10.1080\/01431169308954010","article-title":"The reflectance at the 950\u2013970 nm region as an indicator of plant water status","volume":"14","author":"Filella","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_77","first-page":"425740","article-title":"Review on Methods to Fix Number of Hidden Neurons in Neural Networks","volume":"2013","author":"Deepa","year":"2013","journal-title":"Math. Probl. Eng."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.neucom.2017.08.040","article-title":"A review on neural networks with random weights","volume":"275","author":"Cao","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.cma.2017.02.025","article-title":"Bayesian updating with subset simulation using artificial neural networks","volume":"319","author":"Giovanis","year":"2017","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Cerra, D., Agapiou, A., Cavalli, R.M., and Sarris, A. (2018). An Objective Assessment of Hyperspectral Indicators for the Detection of Buried Archaeological Relics. Remote Sens., 10.","DOI":"10.3390\/rs10040500"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"3892","DOI":"10.3390\/rs4123892","article-title":"Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks","volume":"4","author":"Agapiou","year":"2012","journal-title":"Remote Sens."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.inffus.2016.03.003","article-title":"A review of remote sensing image fusion methods","volume":"32 Pt A","author":"Ghassemian","year":"2016","journal-title":"Inf. Fusion"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Vaiopoulos, A.D. (2011, January 26). Developing Matlab scripts for image analysis and quality assessment. Proceedings of the SPIE 8181, Earth Resources and Environmental Remote Sensing\/GIS Applications II, 81810B, Prague, Czech Republic.","DOI":"10.1117\/12.897806"},{"key":"ref_84","first-page":"192","article-title":"Remote sensing archaeology: Tracking and mapping evolution in European scientific literature from 1999 to 2015","volume":"4","author":"Agapiou","year":"2015","journal-title":"J. Archaeol. Sci. Rep."},{"key":"ref_85","first-page":"716","article-title":"Trends and perspectives of space-borne SAR remote sensing for archaeological landscape and cultural heritage applications","volume":"14","author":"Tapete","year":"2017","journal-title":"J. Archaeol. Sci. Rep."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.culher.2015.05.003","article-title":"An overview of satellite synthetic aperture radar remote sensing in archaeology: From site detection to monitoring","volume":"23","author":"Chen","year":"2017","journal-title":"J. Cult. Herit."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1762\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:28:36Z","timestamp":1760196516000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,8]]},"references-count":86,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111762"],"URL":"https:\/\/doi.org\/10.3390\/rs10111762","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,8]]}}}