{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T00:00:49Z","timestamp":1726099249050},"publisher-location":"Cham","reference-count":85,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030588106"},{"type":"electronic","value":"9783030588113"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58811-3_56","type":"book-chapter","created":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T08:04:50Z","timestamp":1601280290000},"page":"782-796","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Extracting Land Cover Data Using GEE: A Review of the Classification Indices"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-4103-1992","authenticated-orcid":false,"given":"Alessandra","family":"Capolupo","sequence":"first","affiliation":[]},{"given":"Cristina","family":"Monterisi","sequence":"additional","affiliation":[]},{"given":"Giacomo","family":"Caporusso","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2468-0771","authenticated-orcid":false,"given":"Eufemia","family":"Tarantino","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"issue":"10","key":"56_CR1","doi-asserted-by":"publisher","first-page":"1509","DOI":"10.3390\/rs10101509","volume":"10","author":"L Kumar","year":"2018","unstructured":"Kumar, L., Mutanga, O.: Google earth engine applications since inception: usage, trends, and potential. Rem. Sens 10(10), 1509 (2018)","journal-title":"Rem. Sens"},{"key":"56_CR2","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","volume":"202","author":"N Gorelick","year":"2017","unstructured":"Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R.: Google earth engine: planetary-scale geospatial analysis for everyone. Rem. Sens. Environ. 202, 18\u201327 (2017)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR3","first-page":"1499","volume":"33","author":"J Susaki","year":"2000","unstructured":"Susaki, J., Shibasaki, R.: Maximum likelihood method modified in estimating a prior probability and in improving misclassification errors. Int. Arch. Photogram. Rem. Sens. 33, 1499\u20131504 (2000)","journal-title":"Int. Arch. Photogram. Rem. Sens."},{"key":"56_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/15481603.2019.1650447","volume":"57","author":"A Abdi","year":"2020","unstructured":"Abdi, A.: Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. GISci. Rem. Sens. 57, 1\u201320 (2020)","journal-title":"GISci. Rem. Sens."},{"key":"56_CR5","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1016\/j.jag.2018.08.008","volume":"73","author":"A Capolupo","year":"2018","unstructured":"Capolupo, A., Kooistra, L., Boccia, L.: A novel approach for detecting agricultural terraced landscapes from historical and contemporaneous photogrammetric aerial photos. Int. J. Appl. Earth Obs. Geoinf. 73, 800\u2013810 (2018)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"4","key":"56_CR6","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.3390\/rs1041171","volume":"1","author":"N Crocetto","year":"2009","unstructured":"Crocetto, N., Tarantino, E.: A class-oriented strategy for features extraction from multidate ASTER imagery. Rem. Sens. 1(4), 1171\u20131189 (2009)","journal-title":"Rem. Sens."},{"key":"56_CR7","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.jag.2014.09.005","volume":"35","author":"NN Patel","year":"2015","unstructured":"Patel, N.N., Angiuli, E., et al.: Multitemporal settlement and population mapping from Landsat using Google Earth Engine. Int. J. Appl. Earth Obs. Geoinf. 35, 199\u2013208 (2015)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"7","key":"56_CR8","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.3390\/rs10071079","volume":"10","author":"G Mateo-Garc\u00eda","year":"2018","unstructured":"Mateo-Garc\u00eda, G., G\u00f3mez-Chova, L., Amor\u00f3s-L\u00f3pez, J., Mu\u00f1oz-Mar\u00ed, J., Camps-Valls, G.: Multitemporal cloud masking in the Google Earth Engine. Rem. Sens. 10(7), 1079 (2018)","journal-title":"Rem. Sens."},{"issue":"4","key":"56_CR9","doi-asserted-by":"publisher","first-page":"2792","DOI":"10.3390\/ijgi4042792","volume":"4","author":"A Capolupo","year":"2015","unstructured":"Capolupo, A., Kooistra, L., Berendonk, C., Boccia, L., Suomalainen, J.: Estimating plant traits of grasslands from UAV-acquired hyperspectral images: a comparison of statistical approaches. ISPRS Int. J. Geo-Inf. 4(4), 2792\u20132820 (2015)","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"56_CR10","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.scitotenv.2015.08.055","volume":"538","author":"N Kazakis","year":"2015","unstructured":"Kazakis, N., Kougias, I., Patsialis, T.: Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process: application in Rhodope-Evros region, Greece. Sci. Total Environ. 538, 555\u2013563 (2015)","journal-title":"Sci. Total Environ."},{"key":"56_CR11","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1080\/0143116031000139917","volume":"25","author":"J Southworth","year":"2004","unstructured":"Southworth, J.: An assessment of Landsat TM band 6 thermal data for analysing land cover in tropical dry forest regions. Int. J. Remote Sens. 25, 689\u2013706 (2004)","journal-title":"Int. J. Remote Sens."},{"issue":"29","key":"56_CR12","first-page":"6267","volume":"6","author":"BL Yusuf","year":"2011","unstructured":"Yusuf, B.L., He, Y.: Application of hyperspectral imaging sensor to differentiate between the moisture and reflectance of healthy and infected tobacco leaves. Afr. J. Agric. Res. 6(29), 6267\u20136280 (2011)","journal-title":"Afr. J. Agric. Res."},{"issue":"4","key":"56_CR13","doi-asserted-by":"publisher","first-page":"139","DOI":"10.5194\/isprsarchives-XL-4-139-2014","volume":"40","author":"S Li","year":"2014","unstructured":"Li, S., Chen, X.: A new bare-soil index for rapid mapping developing areas using landsat 8 data. Int. Arch. Photogram. Rem. Sens. Spat. Inf. Sci. 40(4), 139 (2014)","journal-title":"Int. Arch. Photogram. Rem. Sens. Spat. Inf. Sci."},{"issue":"7","key":"56_CR14","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.3390\/rs12071201","volume":"12","author":"A Capolupo","year":"2020","unstructured":"Capolupo, A., Monterisi, C., Tarantino, E.: Landsat images classification algorithm (LICA) to automatically extract land cover information in google earth engine environment. Rem. Sens. 12(7), 1201 (2020)","journal-title":"Rem. Sens."},{"key":"56_CR15","unstructured":"Capolupo, A., Saponaro, M., Fratino, U., Tarantino, E.: Detection of spatio-temporal changes of vegetation in coastal areas subjected to soil erosion issue. Aquatic Ecosystem Health & Management. (in press)"},{"issue":"12","key":"56_CR16","doi-asserted-by":"publisher","first-page":"3091","DOI":"10.1016\/j.rse.2011.06.015","volume":"115","author":"T Sakamoto","year":"2011","unstructured":"Sakamoto, T., Gitelson, A.A., Wardlow, B.D., Verma, S.B., Suyker, A.E.: Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data. Rem. Sens. Environ. 115(12), 3091\u20133101 (2011)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR17","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.rse.2015.01.018","volume":"165","author":"B Pengra","year":"2015","unstructured":"Pengra, B., Long, J., Dahal, D., Stehman, S.V., Loveland, T.R.: A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30\u00a0m continuous field tree cover data. Rem. Sens. Environ. 165, 234\u2013248 (2015)","journal-title":"Rem. Sens. Environ."},{"issue":"2","key":"56_CR18","first-page":"127","volume":"3","author":"M Caprioli","year":"2001","unstructured":"Caprioli, M., Tarantino, E.: Accuracy assessment of per-field classification integrating very fine spatial resolution satellite imagery with topographic data. J. Geospat. Eng. 3(2), 127\u2013134 (2001)","journal-title":"J. Geospat. Eng."},{"key":"56_CR19","unstructured":"Caprioli, M., Scognamiglio, A., Strisciuglio, G., Tarantino, E.: Rules and standards for spatial data quality in GIS environments. In: Proceedings of 21st International Cartographic Conference Durban, South Africa, 10\u201316 August 2003 (2003)"},{"key":"56_CR20","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.rse.2013.08.029","volume":"140","author":"GL Feyisa","year":"2014","unstructured":"Feyisa, G.L., Meilby, H., Fensholt, R., Proud, S.R.: Automated water extraction index: a new technique for surface water mapping using landsat imagery. Rem. Sens. Environ. 140, 23\u201335 (2014)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR21","unstructured":"Misra, P.N.: Kauth-Thomas brightness and greenness axes. Contract NASA, 23\u201346 (1977)"},{"issue":"2","key":"56_CR22","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/S0034-4257(00)00197-8","volume":"76","author":"NH Broge","year":"2001","unstructured":"Broge, N.H., Leblanc, E.: Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Rem.0 Sens. Environ. 76(2), 156\u2013172 (2001)","journal-title":"Rem.0 Sens. Environ."},{"key":"56_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, H., Chen, X.: Use of normalized difference bareness index in quickly mapping bare areas from TM\/ETM\u2009+\u2009. In: International Geoscience and Remote Sensing Symposium, vol. 3, p. 1666 (2005)","DOI":"10.1109\/IGARSS.2005.1526319"},{"issue":"1","key":"56_CR24","first-page":"231","volume":"2","author":"P Chandra","year":"2011","unstructured":"Chandra, P.: Performance evaluation of vegetation indices using remotely sensed data. Int. J. Geomatics Geosci. 2(1), 231\u2013240 (2011)","journal-title":"Int. J. Geomatics Geosci."},{"key":"56_CR25","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.rse.2015.12.055","volume":"175","author":"A Fisher","year":"2016","unstructured":"Fisher, A., Flood, N., Danaher, T.: Comparing Landsat water index methods for automated water classification in eastern Australia. Rem. Sens. Environ. 175, 167\u2013182 (2016)","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"56_CR26","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/S0034-4257(01)00190-0","volume":"77","author":"A Karnieli","year":"2001","unstructured":"Karnieli, A., Kaufman, Y.J., Remer, L., Wald, A.: AFRI\u2014aerosol free vegetation index. Rem. Sens. Environ. 77(1), 10\u201321 (2001)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR27","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1109\/TGRS.2003.812910","volume":"40","author":"P Gong","year":"2003","unstructured":"Gong, P., Pu, R., Biging, G.S., Larrieu, M.R.: Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data. IEEE Trans. Geosci. Rem. Sens. 40, 1355\u20131362 (2003)","journal-title":"IEEE Trans. Geosci. Rem. Sens."},{"key":"56_CR28","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","volume":"48","author":"J Qi","year":"1994","unstructured":"Qi, J., Chehbouni, A., Huete, A.R., Kerr, Y.H., Sorooshian, S.: A modified soil adjusted vegetation index. Rem. Sens. Environ. 48, 119\u2013126 (1994)","journal-title":"Rem. Sens. Environ."},{"issue":"2","key":"56_CR29","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1109\/36.134076","volume":"30","author":"YJ Kaufman","year":"1992","unstructured":"Kaufman, Y.J., Tanre, D.: Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Trans. Geosci. Rem. Sens. 30(2), 261\u2013270 (1992)","journal-title":"IEEE Trans. Geosci. Rem. Sens."},{"issue":"2","key":"56_CR30","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1080\/01431168308948549","volume":"4","author":"RD Jackson","year":"1983","unstructured":"Jackson, R.D., Slater, P.N., Pinter, P.J.: Adjusting the tasselled-cap brightness and greenness factors for atmospheric path radiance and absorption on a pixel by pixel basis. Int. J. Rem. Sens. 4(2), 313\u2013323 (1983)","journal-title":"Int. J. Rem. Sens."},{"issue":"3","key":"56_CR31","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1080\/07038992.1996.10855178","volume":"22","author":"JM Chen","year":"1996","unstructured":"Chen, J.M.: Evaluation of vegetation indices and a modified simple ratio for boreal applications. Can. J. Rem. Sens. 22(3), 229\u2013242 (1996)","journal-title":"Can. J. Rem. Sens."},{"key":"56_CR32","unstructured":"Ashburn, P.: The vegetative index number and crop identification. In: The LACIE Symposium, Proceedings of the Technical Session, USA, Houston, TX, USA (1978)"},{"key":"56_CR33","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.rse.2005.11.016","volume":"104","author":"XL Chen","year":"2006","unstructured":"Chen, X.L., Zhao, H., Li, P., Yin, Z.: Remote sensing image-based analysis of the relationship between urban heat island and land use\/cover changes. Rem. Sens. Environ. 104, 133\u2013146 (2006)","journal-title":"Rem. Sens. Environ."},{"issue":"3","key":"56_CR34","doi-asserted-by":"publisher","first-page":"249","DOI":"10.3390\/rs9030249","volume":"9","author":"H Li","year":"2017","unstructured":"Li, H., et al.: Mapping urban bare land automatically from Landsat imagery with a simple index. Rem. Sens. 9(3), 249 (2017)","journal-title":"Rem. Sens."},{"issue":"4","key":"56_CR35","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1007\/s12524-015-0460-6","volume":"43","author":"S Bouzekri","year":"2017","unstructured":"Bouzekri, S., Lasbet, A.A., Lachehab, A.: A new spectral index for extraction of built-up area using Landsat-8 data. J. Indian Soc. Rem. Sens. 43(4), 867\u2013873 (2017)","journal-title":"J. Indian Soc. Rem. Sens."},{"issue":"8","key":"56_CR36","doi-asserted-by":"publisher","first-page":"1886","DOI":"10.23953\/cloud.ijarsg.67","volume":"5","author":"P Sinha","year":"2016","unstructured":"Sinha, P., Verma, N.K.: Urban built-up area extraction and change detection of adama municipal area using time-series landsat images. Int. J. Adv. Rem. Sens. GIS 5(8), 1886\u20131895 (2016)","journal-title":"Int. J. Adv. Rem. Sens. GIS"},{"key":"56_CR37","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.rse.2012.09.009","volume":"127","author":"C Deng","year":"2012","unstructured":"Deng, C., Wu, C.: BCI: A biophysical composition index for remote sensing of urban environments. Rem. Sens. Environ. 127, 247\u2013259 (2012)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR38","doi-asserted-by":"publisher","first-page":"1764","DOI":"10.1016\/j.asr.2007.07.043","volume":"41","author":"L Vescovo","year":"2008","unstructured":"Vescovo, L., Gianelle, D.: Using the MIR bands in vegetation indices for the estimation of grassland biophysical parameters from satellite remote sensing in the Alps region of Trentino (Italy). Adv. Space Res. 41, 1764\u20131772 (2008)","journal-title":"Adv. Space Res."},{"issue":"14","key":"56_CR39","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1080\/10106049.2018.1497094","volume":"34","author":"R Bouhennache","year":"2019","unstructured":"Bouhennache, R., Bouden, T., Taleb-Ahmed, A., Cheddad, A.: A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery. Geocarto Int. 34(14), 1531\u20131551 (2019)","journal-title":"Geocarto Int."},{"issue":"1","key":"56_CR40","doi-asserted-by":"publisher","first-page":"88","DOI":"10.3390\/rs11010088","volume":"11","author":"N Luo","year":"2019","unstructured":"Luo, N., Wan, T., Hao, H., Lu, Q.: Fusing high-spatial-resolution remotely sensed imagery and OpenStreetMap data for land cover classification over urban areas. Rem. Sens. 11(1), 88 (2019)","journal-title":"Rem. Sens."},{"issue":"6","key":"56_CR41","doi-asserted-by":"publisher","first-page":"1844","DOI":"10.23953\/cloud.ijarsg.64","volume":"5","author":"D Kaimaris","year":"2016","unstructured":"Kaimaris, D., Patias, P.: Identification and area measurement of the built-up area with the built-up index (BUI). Int. J. Adv. Rem. Sens. GIS 5(6), 1844\u20131858 (2016)","journal-title":"Int. J. Adv. Rem. Sens. GIS"},{"issue":"3","key":"56_CR42","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1080\/01431160304987","volume":"24","author":"Y Zha","year":"2003","unstructured":"Zha, Y., Gao, J., Ni, S.: Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Rem. Sens. 24(3), 583\u2013594 (2003)","journal-title":"Int. J. Rem. Sens."},{"key":"56_CR43","doi-asserted-by":"publisher","first-page":"41224","DOI":"10.1109\/ACCESS.2018.2857405","volume":"6","author":"S Zhang","year":"2018","unstructured":"Zhang, S., Yang, K., Li, M., Ma, Y., Sun, M.: Combinational biophysical composition index (CBCI) for effective mapping biophysical composition in urban areas. IEEE Access 6, 41224\u201341237 (2018)","journal-title":"IEEE Access"},{"issue":"5","key":"56_CR44","doi-asserted-by":"publisher","first-page":"557","DOI":"10.14358\/PERS.76.5.557","volume":"76","author":"H Xu","year":"2010","unstructured":"Xu, H.: Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface index (NDISI). Photogram. Eng. Rem. Sens. 76(5), 557\u2013565 (2010)","journal-title":"Photogram. Eng. Rem. Sens."},{"key":"56_CR45","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1078\/0176-1617-00887","volume":"160","author":"AA Gitelson","year":"2003","unstructured":"Gitelson, A.A., Kaufman, Y.J., Merzlyak, M.N.: Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Physiol. 160, 271\u2013282 (2003)","journal-title":"J. Plant Physiol."},{"issue":"3","key":"56_CR46","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/j.rse.2004.10.012","volume":"94","author":"S Jin","year":"2005","unstructured":"Jin, S., Sader, S.A.: Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. Rem. Sens. Environ. 94(3), 364\u2013372 (2005)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR47","first-page":"87","volume":"63","author":"AP Van Deventer","year":"1997","unstructured":"Van Deventer, A.P., Ward, A.D., Gowda, P.H., Lyon, J.G.: Using thematic mapper data to identify contrasting soil plains and tillage practices. Photogram. Eng. Rem. Sens. 63, 87\u201393 (1997)","journal-title":"Photogram. Eng. Rem. Sens."},{"key":"56_CR48","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","volume":"1","author":"D Davies","year":"1979","unstructured":"Davies, D., Bouldin, D.: A clustering separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1, 224\u2013227 (1979)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"56_CR49","unstructured":"Rouse Jr, J., Haas, R.H., Schell, J.A., Deering, D.W.: Monitoring vegetation systems in the Great Plains with ERTS (1974)"},{"issue":"3","key":"56_CR50","doi-asserted-by":"publisher","first-page":"81","DOI":"10.3390\/land7030081","volume":"7","author":"A Rasul","year":"2018","unstructured":"Rasul, A., et al.: Applying built-up and bare-soil indices from landsat 8 to cities in dry climates. Land 7(3), 81 (2018)","journal-title":"Land"},{"issue":"7","key":"56_CR51","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1080\/01431169608948714","volume":"17","author":"SK McFeeters","year":"1996","unstructured":"McFeeters, S.K.: The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int. J. Rem. Sens. 17(7), 1425\u20131432 (1996)","journal-title":"Int. J. Rem. Sens."},{"issue":"2","key":"56_CR52","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/0034-4257(80)90007-3","volume":"9","author":"CJ Tucker","year":"1980","unstructured":"Tucker, C.J.: A spectral method for determining the percentage of green herbage material in clipped samples. Rem. Sens. Environ. 9(2), 175\u2013181 (1980)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR53","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1080\/02757259409532252","volume":"104","author":"NS Goel","year":"1994","unstructured":"Goel, N.S., Qin, W.: Influences of canopy architecture on relationships between various vegetation indices and LAI and FPAR: a computer simulation. Rem. Sens. Rev. 104, 309\u2013347 (1994)","journal-title":"Rem. Sens. Rev."},{"issue":"10","key":"56_CR54","doi-asserted-by":"publisher","first-page":"2957","DOI":"10.3390\/rs4102957","volume":"4","author":"A As-syakur","year":"2012","unstructured":"As-syakur, A., Adnyana, I., Arthana, I.W., Nuarsa, I.W.: Enhanced built-up and bareness index (EBBI) for mapping built-up and bare land in an urban area. Remote Sensing 4(10), 2957\u20132970 (2012)","journal-title":"Remote Sensing"},{"issue":"2","key":"56_CR55","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/0034-4257(95)00186-7","volume":"55","author":"G Rondeaux","year":"1996","unstructured":"Rondeaux, G., Steven, M., Baret, F.: Optimization of soil-adjusted vegetation indices. Rem. Sens. Environ. 55(2), 95\u2013107 (1996)","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"56_CR56","doi-asserted-by":"publisher","first-page":"016502","DOI":"10.1117\/1.JRS.13.016502","volume":"13","author":"J Chen","year":"2019","unstructured":"Chen, J., Yang, K., Chen, S., Yang, C., Zhang, S., He, L.: Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale. J. Appl. Rem. Sens. 13(1), 016502 (2019)","journal-title":"J. Appl. Rem. Sens."},{"issue":"3","key":"56_CR57","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/0034-4257(94)00114-3","volume":"51","author":"JL Roujean","year":"1995","unstructured":"Roujean, J.L., Breon, F.M.: Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Rem. Sens. Environ. 51(3), 375\u2013384 (1995)","journal-title":"Rem. Sens. Environ."},{"issue":"11","key":"56_CR58","doi-asserted-by":"publisher","first-page":"2636","DOI":"10.3390\/s7112636","volume":"7","author":"B Matsushita","year":"2007","unstructured":"Matsushita, B., Yang, W., Chen, J., Onda, Y., Qiu, G.: Sensitivity of the enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) to topographic effects: a case study in high-density cypress forest. Sensors 7(11), 2636\u20132651 (2007)","journal-title":"Sensors"},{"key":"56_CR59","unstructured":"Pearson, R.L., Miller, L.D.: Remote mapping of standing crop biomass for estimation of the productivity of the shortgrass prairie, Pawnee National Grasslands, Colorado. In: Eighth International Symposium on Remote Sensing of Environment, University of Michigan (1972)"},{"issue":"3","key":"56_CR60","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/S0034-4257(96)00072-7","volume":"58","author":"AA Gitelson","year":"1996","unstructured":"Gitelson, A.A., Kaufman, Y.J., Merzlyak, M.N.: Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Rem. Sens. Environ. 58(3), 289\u2013298 (1996)","journal-title":"Rem. Sens. Environ."},{"issue":"3","key":"56_CR61","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","volume":"25","author":"AR Huete","year":"1988","unstructured":"Huete, A.R.: A soil-adjusted vegetation index (SAVI). Rem. Sens. Environ. 25(3), 295\u2013309 (1988)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR62","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.apgeog.2017.02.004","volume":"80","author":"Q Zheng","year":"2017","unstructured":"Zheng, Q., Zeng, Y., Deng, J., Wang, K., Jiang, R., Ye, Z.: \u201cGhost cities\u201d identification using multi-source remote sensing datasets: a case study in Yangtze River Delta. Appl. Geogr. 80, 112\u2013121 (2017)","journal-title":"Appl. Geogr."},{"issue":"8","key":"56_CR63","first-page":"1087","volume":"46","author":"DR Thompson","year":"1980","unstructured":"Thompson, D.R., Wehmanen, O.A.: Using landsat digital data to detect moisture stress in corn-soybean growing regions. Photogram. Eng. Rem. Sens. 46(8), 1087\u20131093 (1980)","journal-title":"Photogram. Eng. Rem. Sens."},{"issue":"2","key":"56_CR64","doi-asserted-by":"publisher","first-page":"1211","DOI":"10.3390\/rs6021211","volume":"6","author":"W Wu","year":"2014","unstructured":"Wu, W.: The generalized difference vegetation index (GDVI) for dryland characterization. Rem. Sens. 6(2), 1211\u20131233 (2014)","journal-title":"Rem. Sens."},{"issue":"2","key":"56_CR65","first-page":"183","volume":"66","author":"L Lymburner","year":"2000","unstructured":"Lymburner, L., Beggs, P.J., Jacobson, C.R.: Estimation of canopy-average surface-specific leaf area using Landsat TM data. Photogram. Eng. Rem. Sens. 66(2), 183\u2013192 (2000)","journal-title":"Photogram. Eng. Rem. Sens."},{"issue":"1","key":"56_CR66","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/BF00031911","volume":"101","author":"B Pinty","year":"1992","unstructured":"Pinty, B., Verstraete, M.M.: GEMI: a non-linear index to monitor global vegetation from satellites. Vegetation 101(1), 15\u201320 (1992)","journal-title":"Vegetation"},{"key":"56_CR67","doi-asserted-by":"publisher","first-page":"663","DOI":"10.2307\/1936256","volume":"50","author":"C Jordan","year":"1969","unstructured":"Jordan, C.: Derivation of leaf area index from quality of light on the forest floor Ecology. Ecology 50, 663\u2013666 (1969)","journal-title":"Ecology"},{"issue":"19","key":"56_CR68","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1080\/10106040108542184","volume":"16","author":"M Louhaichi","year":"2001","unstructured":"Louhaichi, M., Borman, M.M., Johnson, D.E.: Spatially located platform and aerial photography for documentation of grazing impacts on wheat. Geocarto Int. 16(19), 65\u201370 (2001)","journal-title":"Geocarto Int."},{"issue":"4","key":"56_CR69","doi-asserted-by":"publisher","first-page":"968","DOI":"10.2134\/agronj2005.0200","volume":"98","author":"RP Sripada","year":"2006","unstructured":"Sripada, R.P., Heiniger, R.W., White, J.G., Meijer, A.D.: Aerial color infrared photography for determining early in-season nitrogen requirements in corn. Agron. J. 98(4), 968\u2013977 (2006)","journal-title":"Agron. J."},{"key":"56_CR70","doi-asserted-by":"crossref","unstructured":"Bandari, A., Asalhi, H., Teillet, P.M.: Transformed difference vegetation index (TDVI) for vegetation cover mapping. In: IEEE International geoscience and remote sensing symposium, vol. 5, pp. 3053\u20133055 (2002)","DOI":"10.1109\/IGARSS.2002.1026867"},{"issue":"10","key":"56_CR71","doi-asserted-by":"publisher","first-page":"2369","DOI":"10.3390\/rs2102369","volume":"2","author":"T Motohka","year":"2010","unstructured":"Motohka, T., Nasahara, K.N., Oguma, H., Tsuchida, S.: Applicability of green-red vegetation index for remote sensing of vegetation phenology. Rem. Sens. 2(10), 2369\u20132387 (2010)","journal-title":"Rem. Sens."},{"key":"56_CR72","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.jag.2012.07.020","volume":"21","author":"ER Hunt Jr","year":"2013","unstructured":"Hunt Jr., E.R., Doraiswamy, P.C., McMurtrey, J.E., Daughtry, C.S., Perry, E.M., Akhmedov, B.: A visible band index for remote sensing leaf chlorophyll content at the canopy scale. Int. J. Appl. Earth Observ. 21, 103\u2013112 (2013)","journal-title":"Int. J. Appl. Earth Observ."},{"key":"56_CR73","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/0034-4257(83)90010-X","volume":"13","author":"R Jackson","year":"1983","unstructured":"Jackson, R.: Spectral indices in n-space. Rem. Sens. Environ. 13, 409\u2013421 (1983)","journal-title":"Rem. Sens. Environ."},{"key":"56_CR74","unstructured":"Kawamura, M.: Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data. In: Proceedings 51st Annual Conference of the Japan Society of Civil Engineers, pp. 190\u2013191 (1996)"},{"issue":"3","key":"56_CR75","first-page":"301","volume":"22","author":"XU Han-Qiu","year":"2011","unstructured":"Han-Qiu, X.U.: A new index-based built-up index (IBI) and its eco-environmental significance. Rem. Sens. Technol. Appl. 22(3), 301\u2013308 (2011)","journal-title":"Rem. Sens. Technol. Appl."},{"key":"56_CR76","doi-asserted-by":"publisher","first-page":"2537","DOI":"10.1080\/01431160110107806","volume":"23","author":"AA Gittelson","year":"2002","unstructured":"Gittelson, A.A., Stark, R., Grits, U., Rundquist, D., Kaufman, Y., Derry, D.: Vegetation and soil lines in visible spectral space: a concept and technique for remote estimation of vegetation fraction. Int. J. Rem. Sens. 23, 2537\u20132562 (2002)","journal-title":"Int. J. Rem. Sens."},{"issue":"1","key":"56_CR77","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/0034-4257(90)90085-Z","volume":"34","author":"RE Crippen","year":"1990","unstructured":"Crippen, R.E.: Calculating the vegetation index faster. Rem. Sens. Environ. 34(1), 71\u201373 (1990)","journal-title":"Rem. Sens. Environ."},{"issue":"11","key":"56_CR78","first-page":"250","volume":"45","author":"F Liu","year":"2014","unstructured":"Liu, F., Liu, S.H., Xiang, Y.: Study on remote sensing monitoring of vegetation coverage in the field. Trans. CSAM 45(11), 250\u2013257 (2014)","journal-title":"Trans. CSAM"},{"issue":"20","key":"56_CR79","doi-asserted-by":"publisher","first-page":"6361","DOI":"10.1080\/01431161.2012.687842","volume":"33","author":"D Stathakis","year":"2012","unstructured":"Stathakis, D., Perakis, K., Savin, I.: Efficient segmentation of urban areas by the VIBI. Int. J. Rem. Sens. 33(20), 6361\u20136377 (2012)","journal-title":"Int. J. Rem. Sens."},{"key":"56_CR80","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.rse.2003.12.013","volume":"90","author":"D Haboudane","year":"2004","unstructured":"Haboudane, D., Miller, J.R., Pattey, E., Zarco-Tejada, P.J., Strachan, I.B.: Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Rem. Sens. Environ. 90, 337\u2013352 (2004)","journal-title":"Rem. Sens. Environ."},{"issue":"9","key":"56_CR81","doi-asserted-by":"publisher","first-page":"1917","DOI":"10.1080\/014311699212542","volume":"20","author":"N Gobron","year":"1999","unstructured":"Gobron, N., Pinty, B., Verstraete, M., Govaerts, Y.: The MERIS global vegetation index (MGVI): description and preliminary application. Int. J. Rem. Sens. 20(9), 1917\u20131927 (1999)","journal-title":"Int. J. Rem. Sens."},{"key":"56_CR82","doi-asserted-by":"crossref","unstructured":"Wolf, A.F.: Using WorldView-2 Vis-NIR multispectral imagery to support land mapping and feature extraction using normalized difference index ratios. In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, vol. 8390 (2012)","DOI":"10.1117\/12.917717"},{"key":"56_CR83","unstructured":"Fall, A.G.U.: Snow monitoring using remote sensing data: modification of normalized difference snow index (2016)"},{"key":"56_CR84","unstructured":"Kauth, R.J., Thomas, G.S.: The tasselled cap\u2014a graphic description of the spectral temporal development of agricultural crops as seen by Landsat. In: Proceedings of Symposium on Machine Processing of Remotely Sensed Data, pp. 41\u201351 (1976)"},{"issue":"14","key":"56_CR85","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1080\/01431160600589179","volume":"27","author":"H Xu","year":"2006","unstructured":"Xu, H.: Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Rem. Sens. 27(14), 3025\u20133033 (2006)","journal-title":"Int. J. Rem. Sens."}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58811-3_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T23:14:58Z","timestamp":1723677298000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58811-3_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030588106","9783030588113"],"references-count":85,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58811-3_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}