{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T18:55:35Z","timestamp":1775760935489,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,11,30]],"date-time":"2019-11-30T00:00:00Z","timestamp":1575072000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41671333"],"award-info":[{"award-number":["41671333"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Leaf area index (LAI) is one of the most important canopy structure parameters utilized in process-based models of climate, hydrology, and biogeochemistry. In order to determine the reliability and applicability of satellite LAI products, it is critical to validate satellite LAI products. Due to surface heterogeneity and scale effects, it is difficult to validate the accuracy of LAI products. In order to improve the spatio-temporal accuracy of satellite LAI products, we propose a new multi-scale LAI product validation method based on a crop growth cycle. In this method, we used the PROSAIL model to derive Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LAI data and Gaofen-1 (GF-1) for the study area. The Empirical Bayes Kriging (EBK) interpolation method was used to perform a spatial multi-scale transformation of Moderate Resolution Imaging Spectroradiometer (MODIS) LAI products, GF-1 LAI data, and ASTER LAI data. Finally, MODIS LAI satellite products were compared with field measured LAI data, GF-1 LAI data, and ASTER LAI data during the growing season of crop field. This study was conducted in the agricultural oasis area of the middle reaches of the Heihe River Basin in northwestern China and the Conghua District of Guangzhou in Guangdong Province. The results suggest that the validation accuracy of the multi-scale MODIS LAI products validated by ASTER LAI data were higher than those of the GF-1 LAI data and the reference field measured LAI data, showing a R2 of 0.758 and relative mean square error (RRMSE) of 28.73% for 15 m ASTER LAI and a R2 of 0.703 and RRMSE of 30.80% for 500 m ASTER LAI, which imply that the 15 m MODIS LAI product generated by the EBK method was more accurate than the 500 m and 8 m products. This study provides a new validation method for satellite remotely sensed products.<\/jats:p>","DOI":"10.3390\/ijgi8120547","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T10:50:45Z","timestamp":1575283845000},"page":"547","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period"],"prefix":"10.3390","volume":"8","author":[{"given":"Ting","family":"Wang","sequence":"first","affiliation":[{"name":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5940-5764","authenticated-orcid":false,"given":"Yonghua","family":"Qu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China"},{"name":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China"},{"name":"School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqing","family":"Xia","sequence":"additional","affiliation":[{"name":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiping","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1080\/02757259509532290","article-title":"Combining remote sensing and modeling for estimating surface evaporation and biomass production","volume":"12","author":"Moran","year":"1995","journal-title":"Remote Sens. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0168-1923(95)02265-Y","article-title":"Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature","volume":"77","author":"Norman","year":"1995","journal-title":"Agric. For. Meteorol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1175\/JHM465.1","article-title":"Effects of Vegetation Clumping on Two\u2013Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX","volume":"6","author":"Anderson","year":"2005","journal-title":"J. Hydrometeorol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1016\/j.rse.2004.05.017","article-title":"Crop condition and yield simulations using Landsat and MODIS imagery","volume":"92","author":"Doraiswamy","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_5","first-page":"518","article-title":"Validation and error analysis of the MODIS LAI product in Xilinhot grassland","volume":"18","author":"Sun","year":"2014","journal-title":"J. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.1109\/TGRS.2006.872529","article-title":"Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup","volume":"44","author":"Morisette","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Garrigues, S., Lacaze, R., Baret, F., Morisette, J.T., Weiss, M., Nickeson, J.E., Fernandes, R., Plummer, S., Shabanov, N.V., and Myneni, R.B. (2008). Validation and intercomparison of global Leaf Area Index products derived from remote sensing data. J. Geophys. Res. Biogeosciences, 113.","DOI":"10.1029\/2007JG000635"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2011.12.006","article-title":"Validation of MODIS and CYCLOPES LAI products using global field measurement data","volume":"119","author":"Fang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_9","first-page":"438","article-title":"Intercomparison Among GEOV1, GLASS and MODIS LAI Products over Mountainous Area in Southwestern China","volume":"31","author":"Yang","year":"2016","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.3390\/rs5031235","article-title":"Intercomparison of leaf area index products for a gradient of sub-humid to arid environments in West Africa","volume":"5","author":"Gessner","year":"2013","journal-title":"Remote Sens."},{"key":"ref_11","first-page":"52","article-title":"Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China","volume":"55","author":"Jin","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.1016\/j.agrformet.2010.12.006","article-title":"Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas","volume":"151","author":"Sea","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_13","first-page":"165","article-title":"Review article: Global LAI ground validation dataset and product validation framework","volume":"27","author":"Zeng","year":"2012","journal-title":"Adv. Earth Sci."},{"key":"ref_14","first-page":"1189","article-title":"Upscaling approach for validation of LAI products derived from remote sensing observation","volume":"18","author":"Liu","year":"2014","journal-title":"J. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.agrformet.2016.11.267","article-title":"Derivation of temporally continuous LAI reference maps through combining the LAI Net observation system with CACAO","volume":"233","author":"Yin","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_16","first-page":"1158","article-title":"Simulation and correction of spatialscaling effects for leaf area index","volume":"18","author":"Liu","year":"2014","journal-title":"J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.chnaes.2017.09.004","article-title":"Validation of the MODIS LAI product in Qinghai Lake Basin combined with field measurements using Landsat 8 OLI data","volume":"37","author":"Yang","year":"2017","journal-title":"Acta Ecol. Sin."},{"key":"ref_18","first-page":"120","article-title":"Generating high spatiotemporal resolution LAI based on MODIS\/GF-1 data and combined kriging-cressman interpolation","volume":"9","author":"Liu","year":"2016","journal-title":"Int. J. Agric. Biol. Eng."},{"key":"ref_19","first-page":"15","article-title":"A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)","volume":"47","author":"Houborg","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1109\/JSTARS.2013.2289931","article-title":"Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products","volume":"7","author":"Qu","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"170083","DOI":"10.1038\/sdata.2017.83","article-title":"A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system","volume":"4","author":"Li","year":"2017","journal-title":"Sci. Data"},{"key":"ref_22","unstructured":"(2019, October 10). Available online: http:\/\/www.heihedata.org."},{"key":"ref_23","unstructured":"(2019, October 20). LP DAAC - MOD15A2H, Available online: https:\/\/lpdaac.usgs.gov\/products\/mod15a2hv006\/."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Kancheva, R., and Georgiev, G. (2014, January 22\u201325). Assessing Cd-induced stress from plant spectral response. Proceedings of the SPIE\u2014The International Society for Optical Engineering, Amsterdam, The Netherlands.","DOI":"10.1117\/12.2067938"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1038\/nmeth.3665","article-title":"Multiple linear regression","volume":"66","author":"Krzywinski","year":"2015","journal-title":"Nat. Methods"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3030","DOI":"10.1016\/j.rse.2008.02.012","article-title":"PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments","volume":"112","author":"Feret","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"S56","DOI":"10.1016\/j.rse.2008.01.026","article-title":"PROSPECT + SAIL models: A review of use for vegetation characterization","volume":"113","author":"Jacquemoud","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_28","first-page":"2248","article-title":"Retrieval of leaf area index of Moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model","volume":"24","author":"Gu","year":"2013","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_29","first-page":"75","article-title":"Leaf Area Index Retrieval Based on Prospect, Liberty and Geosail Models","volume":"47","author":"Li","year":"2011","journal-title":"Sci. Silvae Sin."},{"key":"ref_30","unstructured":"Krivoruchko, K., and Butler, K. (2013). Unequal Probability-Based Spatial Sampling, Esri."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s11004-007-9129-1","article-title":"Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units","volume":"40","author":"Goovaerts","year":"2008","journal-title":"Math. Geosci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/BF01275432","article-title":"Bayesian kriging-merging observations and qualified guesses in kriging","volume":"19","author":"Omre","year":"1987","journal-title":"Math. Geol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.geoderma.2017.08.029","article-title":"Magnetometric assessment of soil contamination in problematic area using empirical Bayesian and indicator kriging: A case study in Upper Silesia, Poland","volume":"308","author":"Zawadzki","year":"2017","journal-title":"Geoderma"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.3390\/rs70201397","article-title":"Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products","volume":"7","author":"John","year":"2015","journal-title":"Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.rse.2013.07.027","article-title":"Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France","volume":"139","author":"Claverie","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.rse.2013.01.022","article-title":"Spatial and temporal validation of the MODIS LAI and FPAR products across a boreal forest wildfire chronosequence","volume":"133","author":"Serbin","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_37","first-page":"1037","article-title":"Validation of the LAI Product in Heihe River Basin","volume":"29","author":"Jia","year":"2014","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"195","DOI":"10.3390\/rs70100195","article-title":"Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data","volume":"7","author":"Qu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_39","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_40","first-page":"734","article-title":"Current Status and Perspectives of Leaf Area Index Retrieval from Optical Remote Sensing Data","volume":"15","author":"Liu","year":"2013","journal-title":"Geo-Inf. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Jing, W., Yang, Y., Yue, X., and Zhao, X. (2016). A Spatial Downscaling Algorithm for Satellite-Based Precipitation over the Tibetan Plateau Based on NDVI, DEM, and Land Surface Temperature. Remote Sens., 8.","DOI":"10.3390\/rs8080655"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1007\/s12665-016-5917-6","article-title":"Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches","volume":"75","author":"Im","year":"2016","journal-title":"Environ. Earth Sci."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/12\/547\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:38:55Z","timestamp":1760189935000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/12\/547"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,30]]},"references-count":42,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2019,12]]}},"alternative-id":["ijgi8120547"],"URL":"https:\/\/doi.org\/10.3390\/ijgi8120547","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,30]]}}}