{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T17:09:33Z","timestamp":1792688973722,"version":"4.5.0"},"reference-count":60,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2014,1,29]],"date-time":"2014-01-29T00:00:00Z","timestamp":1390953600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A large number of vegetation indices have been developed and widely applied in terrestrial ecosystem research in the recent decades. However, a certain limitation was observed while applying these indices in research in dry areas due to their low sensitivity to low vegetation cover. In this context, the objectives of this study are to develop a new vegetation index, namely, the Generalized Difference Vegetation Index (GDVI), and to examine its applicability to the assessment of dryland environment. Based on the field investigation and crop Leaf Area Index (LAI) measurement, five spring and summer Landsat TM and ETM+ images in the frame with Path\/Row number of 174\/35, and MODIS (Moderate Resolution Imaging Spectroradiometer) LAI and vegetation indices (VIs) data (MOD15A2 and MOD13Q1), of the same acquisition dates as the Landsat images, were acquired and employed in this study. The results reveal that, despite the same level of correlation with the fractional vegetation cover (FVC) as other VIs, GDVI shows a better correlation with LAI and has higher sensitivity and dynamic range in the low vegetal land cover than other vegetation indices, e.g., the range of GDVI is higher than Normalized Difference Vegetation Index (NDVI),Soil-Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI), Wide Dynamic Range Vegetation Index (WDRVI), and  Soil-Adjusted and Atmospherically Resistant Vegetation Index (SARVI), by 164%\u2013326% in woodland, 185%\u2013720% in olive plantation, and 190%\u2013867% in rangeland. It is, hence, concluded that GDVI is relevant for, and has great potential in, land characterization, as well as land degradation\/desertification assessment in dryland environment.<\/jats:p>","DOI":"10.3390\/rs6021211","type":"journal-article","created":{"date-parts":[[2014,1,29]],"date-time":"2014-01-29T11:16:56Z","timestamp":1390994216000},"page":"1211-1233","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":219,"title":["The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization"],"prefix":"10.3390","volume":"6","author":[{"given":"Weicheng","family":"Wu","sequence":"first","affiliation":[{"name":"ICARDA (International Center for Agricultural Research in the Dry Areas), CGIAR,  P.O. Box 950764, Amman 11195, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,1,29]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"3468","DOI":"10.1016\/j.rse.2011.08.010","article-title":"Comparison of different vegetation indices for the remote assessment of green leaf area index of crops","volume":"115","author":"Vina","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3833","DOI":"10.1016\/j.rse.2008.06.006","article-title":"Development of a two-band enhanced vegetation index without a blue band","volume":"112","author":"Jiang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"640","DOI":"10.2134\/agronj1968.00021962006000060016x","article-title":"Measuring the color of growing turf with a reflectance spectrophotometer","volume":"60","author":"Birth","year":"1968","journal-title":"Agron. J."},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S0034-4257(70)80021-9","article-title":"Physical and physiological bases for the reference of visible and near infrared radiation from vegetation","volume":"1","author":"Knipling","year":"1970","journal-title":"Remote Sens. Environ."},{"key":"ref_7","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1973, January 10\u201314). Monitoring Vegetation Systems in the Great plains with ERTS. Washington, DC, USA."},{"key":"ref_8","unstructured":"Deering, D.W., Rouse, J.W., Haas, R.H., and Schel, J.A. (1975, January 6\u201310). Measuring Forage Production of Grazing Units from Landsat MSS Data. Ann Arbor, MI, USA."},{"key":"ref_9","first-page":"1541","article-title":"Distinguishing vegetation from soil background information","volume":"43","author":"Richardson","year":"1977","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0034-4257(88)90041-7","article-title":"The derivation of a simplified reflectance model for the estimation of leaf area index","volume":"35","author":"Clevers","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0924-2716(91)90005-G","article-title":"Application of the WDVI in estimating LAI at the generative stage of barley","volume":"46","author":"Clevers","year":"1991","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1080\/02757259409532252","article-title":"Influences of canopy architecture on relationships between various vegetation indices and LAI and FPAR: A computer simulation","volume":"10","author":"Goel","year":"1994","journal-title":"Remote Sens. Rev."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/S0034-4257(01)00289-9","article-title":"Novel algorithms for remote estimation of vegetation fraction","volume":"80","author":"Gitelson","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.3390\/rs2102369","article-title":"Applicability of green-red vegetation index for remote sensing of vegetation phenology","volume":"2","author":"Motohka","year":"2010","journal-title":"Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1078\/0176-1617-01176","article-title":"Wide dynamic range vegetation index for remote quantification of crop biophysical characteristics","volume":"161","author":"Gitelson","year":"2004","journal-title":"J. Plant Physiol."},{"key":"ref_16","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_17","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_18","unstructured":"Baret, F., Guyot, G., and Major, D. (1989, January 10\u201314). TSAVI: A Vegetation Index which Minimizes Soil Brightness Effects on LAI and APAR Estimation. Vancouver, BC, Canada."},{"key":"ref_19","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_20","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/0034-4257(95)00186-7","article-title":"Optimization of soil-adjusted vegetation index","volume":"55","author":"Rondeaux","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/S0034-4257(02)00048-2","article-title":"A generalized soil-adjusted vegetation index","volume":"82","author":"Gilabert","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"968","DOI":"10.2134\/agronj2005.0200","article-title":"Aerial color infrared photography for determining early in-season nitrogen requirements in corn","volume":"98","author":"Sripada","year":"2006","journal-title":"Agron. J."},{"key":"ref_23","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_24","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_25","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1016\/S0034-4257(96)00112-5","article-title":"A comparison of vegetation indices global set of TM images for EOS-MODIS","volume":"59","author":"Huete","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0034-4257(96)00072-7","article-title":"Use of a green channel in remote sensing of global vegetation from EOS-MODIS","volume":"58","author":"Gitelson","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_28","unstructured":"Kauth, R.J., and Thomas, G.S. (July, January 29). The Tasseled Cap\u2014A Graphical Description of the Spectral-Temporal Development of Agricultural Crops as Seen by Landsat. Purdue University, West Lafayette, IN, USA."},{"key":"ref_29","first-page":"343","article-title":"Application of the tasseled cap concept to simulated thematic mapper data","volume":"50","author":"Crist","year":"1984","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/TGRS.1984.350619","article-title":"A Physically-based transformation of thematic mapper data\u2014The TM tasseled cap","volume":"22","author":"Crist","year":"1984","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1741","DOI":"10.1080\/01431160110106113","article-title":"Derivation of a tasseled cap transformation based on Landsat 7 at-satellite reflectance","volume":"23","author":"Huang","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1080\/02757259309532166","article-title":"The soil line concept in remote sensing","volume":"7","author":"Baret","year":"1993","journal-title":"Remote Sens. Rev."},{"key":"ref_33","unstructured":"United Nations (UN) Global Drylands: A UN System-Wide Response, 2011. Available online: http:\/\/www.unccd.int\/Lists\/SiteDocumentLibrary\/Publications\/Global_Drylands_Full_Report.pdf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1038\/307528a0","article-title":"Surface albedo and the Sahel drought","volume":"307","author":"Courel","year":"1984","journal-title":"Nature"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1175\/1520-0450(1985)024<0228:SMOSAA>2.0.CO;2","article-title":"Satellite measurements of surface albedo and temperatures in semi-desert","volume":"24","author":"Otterman","year":"1985","journal-title":"J. Appl. Meteorol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0140-1963(18)30825-5","article-title":"A study of rainfall and vegetation dynamics in the African Sahel using Normalized Difference Vegetation Index","volume":"19","author":"Malo","year":"1990","journal-title":"J. Arid Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1126\/science.253.5017.299","article-title":"Expansion and contraction of Sahara Desert from 1980 to 1990","volume":"253","author":"Tucker","year":"1991","journal-title":"Science"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/S0140-1963(03)00121-6","article-title":"Discrimination between climate and human-induced dryland degradation","volume":"57","author":"Evans","year":"2004","journal-title":"J. Arid Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/j.gloenvcha.2005.08.004","article-title":"Recent trends in vegetation dynamics in the African Sahel and their relationship to climate","volume":"15","author":"Herrmann","year":"2005","journal-title":"Glob. Environ. Chang."},{"key":"ref_40","first-page":"81","article-title":"Use remote sensing to assess impacts of land management policies in the Ordos rangelands in China","volume":"6","author":"Wu","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0167-5877(05)80004-2","article-title":"Interpreting vegetation indices","volume":"11","author":"Jackson","year":"1991","journal-title":"Prev. Vet. Med"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1109\/36.649788","article-title":"Estimation of global leaf area index and absorbed par using radiative transfer models","volume":"35","author":"Myneni","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"32257","DOI":"10.1029\/98JD02462","article-title":"Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data","volume":"103","author":"Knyazikhin","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/S0034-4257(02)00074-3","article-title":"Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data","volume":"83","author":"Myneni","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.rse.2004.11.001","article-title":"A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needle leaf canopies","volume":"94","author":"Fang","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.agrformet.2004.12.004","article-title":"Carbon and water fluxes over a temperate Eucalyptus forest and tropical wet\/dry savanna in Australia: Measurements and comparison with MODIS remote sensing estimates","volume":"129","author":"Leuning","year":"2005","journal-title":"Agric. For. Meteorol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/j.rse.2010.11.004","article-title":"An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest","volume":"115","author":"Disney","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/0034-4257(92)90062-O","article-title":"Multisite analysis of spectral-biophysical data for sorghum","volume":"47","author":"Richardson","year":"1992","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/S0034-4257(97)00104-1","article-title":"On the relation between NDVI, fractional vegetation cover, and leaf area index","volume":"62","author":"Carlson","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1533","DOI":"10.1080\/014311698215333","article-title":"The derivation of the green vegetation fraction from NOAA\/AVHRR data for use in numerical weather prediction models","volume":"19","author":"Gutman","year":"1998","journal-title":"Int. J. Remote Sens"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"768","DOI":"10.3390\/s90200768","article-title":"Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis: Case study of PROBA\/CHRIS data over an agricultural area","volume":"9","author":"Sobrino","year":"2009","journal-title":"Sensors"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Zhang, X., Liao, C., Li, J., and Sun, Q. (2012). Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data. Int. J. Appl. Earth Obs. Geoinf.","DOI":"10.1016\/j.jag.2012.07.003"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/j.rse.2007.04.006","article-title":"Determination of vegetation cover fraction by inversion of a four-parameter model based on isoline parametrization","volume":"111","author":"Kallel","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_54","unstructured":"Sirikul, N. (2006). Comparison of MODIS Vegetation Index Products with Biophysical and Flux Tower Measurements, Ph.D. Dissertation."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1117\/12.410341","article-title":"Status of atmospheric correction using a MODTRAN4-based algorithm","volume":"4049","author":"Matthew","year":"2000","journal-title":"Proc. SPIE"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Perkins, T., Adler-Golden, S., Matthew, M., Berk, A., Anderson, G., Gardner, J., and Felde, G. (2005). Retrieval of Atmospheric Properties from Hyper and Multispectral Imagery with the FLAASH Atmospheric Correction Algorithm. Proc. SPIE, 5979.","DOI":"10.1117\/12.626526"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"4525","DOI":"10.1080\/01431161.2013.777487","article-title":"Assessing woody biomass in African tropical savannas by multiscale remote sensing","volume":"34","author":"Wu","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/0034-4257(94)00111-Y","article-title":"Leaf area index estimation from visible and near-infrared reflectance data","volume":"52","author":"Price","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"L20403","DOI":"10.1029\/2007GL031620","article-title":"An evaluation of MODIS 250-m data for green LAI estimation in crops","volume":"34","author":"Gitelson","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.rse.2004.10.006","article-title":"On the relationship of NDVI with leaf area index in a deciduous forest site","volume":"94","author":"Wang","year":"2005","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/2\/1211\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:07:54Z","timestamp":1760216874000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/2\/1211"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1,29]]},"references-count":60,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2014,2]]}},"alternative-id":["rs6021211"],"URL":"https:\/\/doi.org\/10.3390\/rs6021211","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1,29]]}}}