{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:11:45Z","timestamp":1780675905712,"version":"3.54.1"},"reference-count":72,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T00:00:00Z","timestamp":1570838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005632","name":"Narodowe Centrum Bada\u0144 i Rozwoju","doi-asserted-by":"publisher","award":["DZP\/BIOSTRATEG-II\/390\/2015"],"award-info":[{"award-number":["DZP\/BIOSTRATEG-II\/390\/2015"]}],"id":[{"id":"10.13039\/501100005632","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Open areas, along with their non-forest vegetation, are often threatened by secondary succession, which causes deterioration of biodiversity and the habitat\u2019s conservation status. The knowledge about characteristics and dynamics of the secondary succession process is very important in the context of management and proper planning of active protection of the Natura 2000 habitats. This paper presents research on the evaluation of the possibility of using selected methods of textural analysis to determine the spatial extent of trees and shrubs based on archival aerial photographs, and consequently on the investigation of the secondary succession process. The research was carried out on imagery from six different dates, from 1971 to 2015. The images differed from each other in spectral resolution (panchromatic, in natural colors, color infrared), in original spatial resolution, as well as in radiometric quality. Two methods of textural analysis were chosen for the analysis: Gray level co-occurrence matrix (GLCM) and granulometric analysis, in a number of variants, depending on the selected parameters of these transformations. The choice of methods has been challenged by their reliability and ease of implementation in practice. The accuracy assessment was carried out using the results of visual photo interpretation of orthophotomaps from particular years as reference data. As a result of the conducted analyses, significant efficacy of the analyzed methods has been proved, with granulometric analysis as the method of generally better suitability and greater stability. The obtained results show the impact of individual image features on the classification efficiency. They also show greater stability and reliability of texture analysis based on granulometric\/morphological operations.<\/jats:p>","DOI":"10.3390\/ijgi8100450","type":"journal-article","created":{"date-parts":[[2019,10,14]],"date-time":"2019-10-14T03:54:13Z","timestamp":1571025253000},"page":"450","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["The Efficacy Analysis of Determining the Wooded and Shrubbed Area Based on Archival Aerial Imagery Using Texture Analysis"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5506-7024","authenticated-orcid":false,"given":"Przemys\u0142aw","family":"Kupidura","sequence":"first","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, 1, 00-661 Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2602-4281","authenticated-orcid":false,"given":"Katarzyna","family":"Osi\u0144ska-Skotak","sequence":"additional","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, 1, 00-661 Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katarzyna","family":"Lesisz","sequence":"additional","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, 1, 00-661 Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0172-4062","authenticated-orcid":false,"given":"Anna","family":"Podkowa","sequence":"additional","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, 1, 00-661 Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,12]]},"reference":[{"key":"ref_1","unstructured":"Fali\u0144ska, K. (2004). Ekologia Ro\u015blin, Wydawnictwo Naukowe PWN. [3rd ed.]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s10980-005-0068-2","article-title":"Vegetation composition and succession of abandoned farmland: Effects of ecological, historical and spatial factors","volume":"20","author":"Benjamin","year":"2005","journal-title":"Landsc. Ecol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.landurbplan.2007.04.008","article-title":"Modelling the rate of secondary succession after farmland abandonment in a Mediterranean mountain area","volume":"8","author":"Pueyo","year":"2007","journal-title":"Landsc. Urban. Plan."},{"key":"ref_4","unstructured":"Weiner, J. (2003). \u017bycie I Ewolucja Biosfery, Wydawnictwo Naukowe PWN."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1016\/j.rse.2009.01.003","article-title":"Characterizing forest succession with LIDAR data: An evaluation for the inland Northwest, USA","volume":"113","author":"Falkowski","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"8300","DOI":"10.3390\/rs70708300","article-title":"Mapping secondary forest succession on abandoned agricultural land with LiDAR point clouds and terrestrial photography","volume":"7","author":"Kolecka","year":"2015","journal-title":"Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"034502","DOI":"10.1117\/1.JRS.13.034502","article-title":"Mapping secondary succession species in agricultural landscape with the use of hyperspectral and ALS data","volume":"13","author":"Radecka","year":"2019","journal-title":"J. Appl. Remote Sens."},{"key":"ref_8","first-page":"127","article-title":"The implementation of GIS and remote sensing to analysis of shrub succession in the Narew National Park","volume":"I","year":"2006","journal-title":"Rocz. Geomatyki"},{"key":"ref_9","first-page":"245","article-title":"Land cover changes in B\u0142\u0119dowska Desert area between 1926 and 2005","volume":"21","author":"Maryniak","year":"2010","journal-title":"Arch. Fotogram. Kartografii i Teledetekcji"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"241","DOI":"10.3112\/erdkunde.2010.03.03","article-title":"Vegetation succession over an area of a medieval ecological disaster. The case of the B\u0142\u0119d\u00f3w Desert, Poland","volume":"64","author":"Rahmonov","year":"2010","journal-title":"Erkunde"},{"key":"ref_11","first-page":"5","article-title":"Pustynia B\u0142\u0119dowska dawniej i dzi\u015b\u2014Interpretacja wieloczasowych zdj\u0119\u0107 lotniczych i obraz\u00f3w satelitarnych","volume":"10","year":"2011","journal-title":"Acta Scientiarum Polonorum Geodesia et Descriptio Terrarum"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.foreco.2012.08.013","article-title":"Land cover changes and forest succession trends in a site of Natura 2000 network (Elatia forest), in northern Greece","volume":"285","author":"Oikonomakis","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"ref_13","first-page":"51","article-title":"Forest Cover Change and Secondary Forest Succession Since 1977 in Budz\u00f3w Commune, the Polish Carpathians","volume":"146","author":"Kolecka","year":"2016","journal-title":"Prace Geograficzne"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1080\/07038992.1999.10874746","article-title":"Detection of peatland vegetation types using digitized aerial photographs","volume":"25","author":"Holopainen","year":"1999","journal-title":"Can. J. Remote Sens."},{"key":"ref_15","first-page":"121","article-title":"Use of historic aerial photography to study vegetation change in the Negrito Creek watershed, southwestern New Mexico","volume":"44","author":"Miller","year":"1999","journal-title":"Southwest Nat."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"903","DOI":"10.5558\/tfc76903-6","article-title":"Application of large- and medium-scale aerial photographs to forest vegetation management: A case study","volume":"76","author":"Pitt","year":"2000","journal-title":"For. Chron."},{"key":"ref_17","first-page":"143","article-title":"Zastosowanie zdj\u0119\u0107 lotniczych do badania sukcesji wt\u00f3rnej na polanach \u015br\u00f3dle\u015bnych","volume":"32","author":"Ligocki","year":"2001","journal-title":"Teledetekcja \u015arodowiska"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1080\/02827580701217620","article-title":"Monitoring peatland vegetation by means of digitized aerial photographs","volume":"22","author":"Jauhiainen","year":"2007","journal-title":"Scand. J. For. Res."},{"key":"ref_19","first-page":"5","article-title":"Monitoring the secondary forest succession and land cover\/use changes of the b\u0142\u0229d\u00f3w desert (Poland) using geospatial analyses","volume":"35","author":"Szostak","year":"2016","journal-title":"Quaest. Geogr."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Osi\u0144ska-Skotak, K., Je\u0142owicki, \u0141., Baku\u0142a, K., Michalska-Hejduk, D., Wylaz\u0142owska, J., and Kope\u0107, D. (2019). Analysis of using dense image matching techniques to study the process of secondary succession in Non-forest Natura 2000 habitats. Remote Sens., 11.","DOI":"10.3390\/rs11080893"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/TIT.1962.1057698","article-title":"Visual pattern discrimination","volume":"8","author":"Julesz","year":"1962","journal-title":"IRE Trans. Inf. Theory"},{"key":"ref_22","first-page":"30","article-title":"Pattern recognition from satellites altitudes","volume":"4","author":"Darling","year":"1968","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural Features for Image Classification","volume":"4","author":"Haralick","year":"1973","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_24","first-page":"187","article-title":"Description and measurement of Landsat TM using fractals","volume":"56","author":"Lam","year":"1990","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","article-title":"A Theory for Multiresolution Signal Decomposition: The Wavelet Representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_26","unstructured":"Marr, D. (1982). Vision, Freeman and Company. Chapter 2."},{"key":"ref_27","unstructured":"Horn, B. (1986). Robot Vision, MIT Press."},{"key":"ref_28","unstructured":"Haralick, R.M., and Shapiro, L. (1992). Computer and Robot Vision, Addison-Wesley Publishing Company."},{"key":"ref_29","unstructured":"Spitzer, F. (1971). Random Fields and Interacting Particle Systems, Mathematical Association of America. M.A.A. Summer Seminar Notes."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Preston, C.J. (1974). Gibbs States on Countable Sets, Cambridge University Press.","DOI":"10.1017\/CBO9780511897122"},{"key":"ref_31","first-page":"768","article-title":"Morphologie Math\u00e9matique et granulom\u00e9tries en place","volume":"12","author":"Haas","year":"1967","journal-title":"Ann. Mines"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1117\/12.55174","article-title":"Morphological image segmentation by local granulometric size distributions","volume":"1","author":"Dougherty","year":"1992","journal-title":"J. Electron. Imaging"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"6712","DOI":"10.1109\/TGRS.2018.2841823","article-title":"Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification","volume":"56","author":"Cheng","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","first-page":"1","article-title":"Learning compact and discriminative stacked autoencoder for hyperspectral image classification","volume":"57","author":"Zhou","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","unstructured":"Kupidura, P. (2015). Wykorzystanie granulometrii obrazowej w klasyfikacji tre\u015bci zdj\u0119\u0107 satelitarnych, Warsaw University of Technology Publishing House. Prace Naukowe Politechniki Warszawskiej."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kupidura, P. (2019). The Comparison of different methods of texture analysis for their efficacy for land use classification in satellite imagery. Remote Sens., 11.","DOI":"10.3390\/rs11101233"},{"key":"ref_37","first-page":"29","article-title":"Comparison of efficiency of extraction of built-up areas in aerial images using fractal analysis and morphological granulometry","volume":"52","author":"Kupidura","year":"2015","journal-title":"Teledetekcja \u015arodowiska"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1109\/TSMC.1976.5408777","article-title":"A Comparative Study of Texture measures for Terrain Classification","volume":"6","author":"Weszka","year":"1976","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1109\/TPAMI.1980.4767008","article-title":"A Theoretical Comaprison of Texture Algorithms","volume":"2","author":"Conners","year":"1980","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"19","DOI":"10.5566\/ias.v21.p19-24","article-title":"Granulometric maps from high resolution satellite images","volume":"21","author":"Mering","year":"2002","journal-title":"Image Anal. Stereol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/978-3-642-31254-0_3","article-title":"SVM and Haralick Features for Classification of High Resolution Satellite Images from Urban Areas","volume":"Volume 7340","author":"Elmoataz","year":"2012","journal-title":"Image and Signal Processing"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Wawrzaszek, A., Krupi\u0144ski, M., Aleksandrowicz, S., and Drzewiecki, W. (2013, January 21\u201326). Fractal and multifractal characteristics of very high resolution satellite images. Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium\u2014IGARSS, Melbourne, Australia.","DOI":"10.1109\/IGARSS.2013.6723071"},{"key":"ref_43","first-page":"83","article-title":"Morphological profile and granulometric maps in extraction of buildings in VHR satellite images","volume":"27","author":"Kupidura","year":"2015","journal-title":"Arch. Photogramm. Cartogr. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1109\/LGRS.2016.2574940","article-title":"Change detection using global and local multifractal description","volume":"13","author":"Aleksandrowicz","year":"2016","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"809","DOI":"10.5721\/EuJRS20164943","article-title":"Applicability of multifractal features as global characteristics of WorldView\u20142 panchromatic satellite images","volume":"49","author":"Drzewiecki","year":"2016","journal-title":"Eur. J. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"8975","DOI":"10.1109\/ACCESS.2018.2890743","article-title":"Texture feature extraction methods: A survey","volume":"7","year":"2019","journal-title":"IEEE Access"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1109\/TGRS.1995.8746010","article-title":"An investigation of the textural characteristics associated with gray level coocurrence matrix statistical parameters","volume":"33","author":"Baraldi","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1080\/10106040903576195","article-title":"A new approach for finding appropriate combination of texture parameters for classification","volume":"25","author":"Pathak","year":"2010","journal-title":"Geocarto Int."},{"key":"ref_49","unstructured":"(2019, July 19). OTB CookBook. Available online: https:\/\/www.orfeo-toolbox.org\/CookBook\/recipes\/featextract.html."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1109\/TPAMI.1986.4767760","article-title":"Sum and difference histograms for texture classification","volume":"8","author":"Unser","year":"1986","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_51","unstructured":"Kupidura, P., Koza, P., and Marciniak, J. (2010). Morfologia Matematyczna w teledetekcji, Wydawnictwo Naukowe PWN."},{"key":"ref_52","unstructured":"Vincent, L. (1996). Opening Trees and Local Granulometries. Mathematical Morphology and its Applications to Image and Signal Processing, Springer."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3747","DOI":"10.1109\/TGRS.2010.2048116","article-title":"Morphological attribute profiles for the analysis of very high resolution images","volume":"48","author":"Mura","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","first-page":"320","article-title":"Self-dual Attribute Profiles for the Analysis of Remote Sensing Images","volume":"Volume 6671","author":"Soille","year":"2011","journal-title":"Mathematical Morphology and Its Applications to Image and Signal Processing"},{"key":"ref_55","first-page":"1109","article-title":"Texture feature extraction for classification of remote sensing data using wavelet decomposition: A comparative study","volume":"35","author":"Ruiz","year":"2004","journal-title":"ISPRS Archives"},{"key":"ref_56","unstructured":"RDO\u015a Katowice (Regional Directorate for Environmental Protection in Katowice) (2019, October 05). Ostoja Olszty\u0144sko-Mirowska, Available online: http:\/\/katowice.rdos.gov.pl\/files\/artykuly\/25790\/ostoja_olsztynsko_mirowska.pdf."},{"key":"ref_57","unstructured":"(2019, October 05). Upper Silesia Nature Heritage Center. Available online: http:\/\/przyroda.katowice.pl\/pl\/ochrona-przyrody\/natura-2000\/ostoje-siedliskowe\/300-ostoja-olsztysko-mirowska."},{"key":"ref_58","unstructured":"(2019, October 05). Regional Directorate for Environmental Protection in Katowice, LFE11 NAT\/PL\/432 Protection of valuable natural non-forest habitats typical of the Orle Gniazda Landscape Park. Available online: http:\/\/lifezpkws.pl."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"197","DOI":"10.5194\/isprs-archives-XLII-1-W1-197-2017","article-title":"SAPC\u2014Application for adapting scanned analogue photographs to use them in structure from motion technology","volume":"XLII-1\/W1","author":"Salach","year":"2017","journal-title":"Int Arch. Photogramm. Remote Sens Spat. Inf. Sci."},{"key":"ref_60","unstructured":"Steven, M.D., and Clark, J.A. (1990). The Identification of Crop Disease and Stress by Aerial Photography. Applications of Remote Sensing in Agriculture, Elsevier."},{"key":"ref_61","first-page":"688","article-title":"The use of panchromatic, infrared, and color aerial photography in the study of plant distribution","volume":"XVII","author":"Schulte","year":"1951","journal-title":"Photogramm. Eng."},{"key":"ref_62","unstructured":"Staniak, K. (2016). Badanie Wp\u0142ywu Rodzaju Obrazu \u0179r\u00f3d\u0142owego Na Efektywno\u015b\u0107 Analizy Granulometrycznej. [Master\u2019s Thesis, Warsaw University of Technology]."},{"key":"ref_63","unstructured":"(2019, July 19). BlueNote Software. Available online: https:\/\/sourceforge.net\/projects\/bluenote."},{"key":"ref_64","unstructured":"Niemyski, S. (2018). Comparison of Chosen Decision Rules in Classification of Multispectral Satellite Images. [Master\u2019s Thesis, Warsaw University of Technology]."},{"key":"ref_65","unstructured":"Nieniewski, M. (2005). Segmentacja Obraz\u00f3w Cyfrowych. Metody Segmentacji Wododzia\u0142owej, Akademicka Oficyna Wydawnicza EXIT."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (2008). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, CRC Press, Taylor & Francis Group.","DOI":"10.1201\/9781420055139"},{"key":"ref_67","first-page":"37","article-title":"Evaluation: From precision, recall and F-measure to ROC, informedness, markedness & correlation","volume":"2","author":"Powers","year":"2011","journal-title":"J. Mach. Learn. Technol."},{"key":"ref_68","first-page":"122","article-title":"Evaluation of spectral and texture features for object-based vegetation species classification using support vector machines","volume":"38","author":"Li","year":"2010","journal-title":"ISPRS Archives"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1080\/01431161.2015.1007251","article-title":"Improving hyperspectral image classification by combining spectral, texture and shape features","volume":"36","author":"Mirzapour","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_70","first-page":"1","article-title":"Analysis of the impact of the source image type on the efficacy of texture analysis","volume":"57","author":"Staniak","year":"2017","journal-title":"Teledetekcja \u015arodowiska"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Kupidura, P., and Uwarowa, I. (2017, January 6\u20138). The comparison of GLCM and granulometry for distinction of different classes of urban area. Proceedings of the 2017 Joint Urban Remote Sensing Event (JURSE), Dubai, UAE.","DOI":"10.1109\/JURSE.2017.7924615"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Farjon, A. (2019, August 15). Picea abies. The IUCN Red List of Threatened Species 2017: E.T42318A71233492. Available online: http:\/\/dx.doi.org\/10.2305\/IUCN.UK.2017-2.RLTS.T42318A71233492.en.","DOI":"10.2305\/IUCN.UK.2017-2.RLTS.T42318A71233492.en"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/10\/450\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:25:41Z","timestamp":1760189141000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/10\/450"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,12]]},"references-count":72,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["ijgi8100450"],"URL":"https:\/\/doi.org\/10.3390\/ijgi8100450","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,12]]}}}