{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T17:41:04Z","timestamp":1776102064098,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,2,20]],"date-time":"2017-02-20T00:00:00Z","timestamp":1487548800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["41201438"],"award-info":[{"award-number":["41201438"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["41661003"],"award-info":[{"award-number":["41661003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004772","name":"Natural Science Foundation of Ningxia","doi-asserted-by":"publisher","award":["NX16010"],"award-info":[{"award-number":["NX16010"]}],"id":[{"id":"10.13039\/501100004772","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key project of scientific research in Ningxia colleges and universities","award":["NGY2016074"],"award-info":[{"award-number":["NGY2016074"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Temperature Vegetation Dryness Index (TVDI), a drought monitoring index based on an empirical parameterization of the Land Surface Temperature (LST)\u2013Normalized Difference Vegetation Index (NDVI) space, has been widely implemented in a variety of ecosystems worldwide because it does not depend on ancillary data. However, the simulation of dry\/wet edges in the TVDI model can be problematic because remote sensing images do not have sufficient pixels to identify the wetness and dryness extremes of different vegetation coverages. In this study, an improvement in dry\/wet edge simulation was proposed, and a comparison of the original TVDI and the modified Temperature Vegetation Dryness Index (TVDIm) was performed for drought monitoring in Ningxia Province, which is a typical semi-arid region in China. First, the difference between the land surface temperatures in day and night (\u2206LST) was used as an alternative to LST when building the TVDIm model. In addition, the wet edges were improved by removing outliers using a statistical method, and the dry edges were optimized by removing the \u201ctail down\u201d points in the NDVI range of 0.0\u20130.1. Here, the modeling process of TVDIm in 2005, one of recent extreme drought year is illustrated. The results show that both the TVDI and TVDIm can be used to monitor the temporal and spatial variations of drought, and the onset, duration, extent, and severity of drought can be reflected by TVDI and TVDIm maps. However, the magnitude of TVDI is higher than that of TVDIm, which could cause the TVDI-simulated drought condition to be elevated in normal years and underestimated in dry years. The TVDIm has higher coefficients of correlation with in situ meteorological drought index and agricultural drought statistical data than does the original TVDI, and it exhibits better performance in drought monitoring compared to that of the original TVDI in semi-arid regions of China.<\/jats:p>","DOI":"10.3390\/rs9020177","type":"journal-article","created":{"date-parts":[[2017,2,20]],"date-time":"2017-02-20T11:07:24Z","timestamp":1487588844000},"page":"177","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":88,"title":["Comparison of Two Simulation Methods of the Temperature Vegetation Dryness Index (TVDI) for Drought Monitoring in Semi-Arid Regions of China"],"prefix":"10.3390","volume":"9","author":[{"given":"Lingtong","family":"Du","sequence":"first","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naiping","family":"Song","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Liu","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Hou","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Hu","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuguo","family":"Zhu","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyun","family":"Wang","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yige","family":"Guo","sequence":"additional","affiliation":[{"name":"Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China, Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China of Ministry of Education, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,20]]},"reference":[{"key":"ref_1","first-page":"245","article-title":"A comprehensive drought monitoring method integrating modis and trmm data","volume":"23","author":"Du","year":"2013","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1175\/1520-0477(1994)075<1655:WRITID>2.0.CO;2","article-title":"WMO\u2019s role in the international decade for natural disaster reduction","volume":"75","author":"Obasi","year":"1994","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1351","DOI":"10.1175\/2010BAMS2988.1","article-title":"A multiscalar global drought dataset: The speibase: A new gridded product for the analysis of drought variability and impacts","volume":"91","author":"Begueria","year":"2010","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jhydrol.2010.07.012","article-title":"A review of drought concepts","volume":"391","author":"Mishra","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1175\/1520-0477-83.8.1149","article-title":"A review of twentieth-century drought indices used in the united states","volume":"83","author":"Heim","year":"2002","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1175\/BAMS-D-11-00213.1","article-title":"A remotely sensed global terrestrial drought severity index","volume":"94","author":"Mu","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_7","first-page":"267","article-title":"New drought indices","volume":"80","author":"Niemeyer","year":"2008","journal-title":"Options M\u00e9diterr. S\u00e9r. A"},{"key":"ref_8","unstructured":"Palmer, W.C. (1965). Meteorological Drought."},{"key":"ref_9","unstructured":"McKee, T.B., Doesken, N.J., and Kleist, J. (1993, January 17\u201322). The Relationship of Drought Frequency and Duration to Time Scales. Proceedings of the 8th Conference of Applied Climatology, Anaheim, CA, USA."},{"key":"ref_10","unstructured":"McKee, T.B., Doesken, N.J., and Kleist, J. (1995, January 15\u201320). Drought Monitoring with Multiple Time Scales. Proceedings of the 9th AMS Conference of Applied Climatology, Dallas, TX, USA."},{"key":"ref_11","first-page":"1696","article-title":"A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index","volume":"23","year":"2009","journal-title":"J. Clim."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1175\/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2","article-title":"Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data","volume":"76","author":"Kogan","year":"1995","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2761","DOI":"10.1080\/01431169608949106","article-title":"Monitoring regional drought using the vegetation condition index","volume":"17","author":"Liu","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/0273-1177(95)00079-T","article-title":"Application of vegetation index and brightness temperature for drought detection","volume":"15","author":"Kogan","year":"1995","journal-title":"Adv. Space Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1029\/2002EO000382","article-title":"World droughts in the new millennium from AVHRR-based vegetation health indices","volume":"83","author":"Kogan","year":"2002","journal-title":"EOS Trans. Am. Geophys. Union"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2875","DOI":"10.1016\/j.rse.2010.07.005","article-title":"Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data","volume":"114","author":"Rhee","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.pce.2015.02.009","article-title":"Surface soil moisture retrievals from remote sensing: Current status, products & future trends","volume":"83\u201384","author":"Petropoulos","year":"2015","journal-title":"Phys. Chem. Earth"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/S0034-4257(01)00274-7","article-title":"A simple interpretation of the surface temperature\/vegetation index space for assessment of surface moisture status","volume":"79","author":"Sandholt","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_19","first-page":"181","article-title":"Estimating soil moisture and the relationship with crop yield using surface temperature and vegetation index","volume":"28","author":"Holzman","year":"2014","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.1016\/S2095-3119(14)60813-3","article-title":"Drought change trend using modis tvdi and its relationship with climate factors in china from 2001 to 2010","volume":"13","author":"Liang","year":"2014","journal-title":"J. Integr. Agric."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/01431160802108497","article-title":"Assessing potential of modis derived temperature\/vegetation condition index (TVDI) to infer soil moisture status","volume":"30","author":"Patel","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","first-page":"417","article-title":"Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data","volume":"18","author":"Son","year":"2012","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1242","DOI":"10.1016\/j.rse.2007.08.013","article-title":"Combining the triangle method with thermal inertia to estimate regional evapotranspiration\u2014Applied to MSG-SEVIRI data in the Senegal river basin","volume":"112","author":"Stisen","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.agrformet.2012.07.015","article-title":"Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information","volume":"166\u2013167","author":"Sun","year":"2012","journal-title":"Agric. For. Meteorol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1016\/j.agrformet.2009.03.004","article-title":"Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI","volume":"149","author":"Mallick","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1177\/0309133309338997","article-title":"A review of Ts\/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture","volume":"33","author":"Petropoulos","year":"2009","journal-title":"Prog. Phys. Geogr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.3390\/s7081612","article-title":"An overview of the \u201ctriangle method\u201d for estimating surface evapotranspiration and soil moisture from satellite imagery","volume":"7","author":"Carlson","year":"2007","journal-title":"Sensors"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/0143116031000115328","article-title":"Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA","volume":"25","author":"Wan","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","first-page":"495","article-title":"Integrating temperature vegetation dryness index (TVDI) and regional water stress index (RWSI) for drought assessment with the aid of LANDSAT TM\/ETM+ images","volume":"13","author":"Gao","year":"2011","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.3390\/s7102028","article-title":"A wetness index using terrain-corrected surface temperature and normalized difference vegetation index derived from standard MODIS products: An evaluation of its use in a humid forest-dominated region of eastern Canada","volume":"7","author":"Hassan","year":"2007","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2011.10.009","article-title":"Comparative evaluation of the vegetation dryness index (VDI), the temperature vegetation dryness index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran","volume":"68","author":"Omasa","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1080\/01431160903527421","article-title":"Estimating soil moisture using Temperature\u2013Vegetation Dryness Index (TVDI) in the Huang-Huai-Hai (HHH) plain","volume":"32","author":"Chen","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"745","DOI":"10.3319\/TAO.2013.01.30.01(Hy)","article-title":"Analysis of spatial-temporal variation of agricultural drought and its response to ENSO over the past 30 years in the Huang-Huai-Hai region","volume":"24","author":"Huang","year":"2013","journal-title":"Terr. Atmos. Ocean. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/S1002-0160(14)60031-X","article-title":"Soil moisture monitoring based on Land Surface Temperature-Vegetation Index space derived from MODIS data","volume":"24","author":"Zhang","year":"2014","journal-title":"Pedosphere"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1998","DOI":"10.3390\/rs5041998","article-title":"Impact of the spatial domain size on the performance of the Ts-Vi triangle method in terrestrial evapotranspiration estimation","volume":"5","author":"Tian","year":"2013","journal-title":"Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.rse.2009.10.012","article-title":"An application of the Ts\u2013Vi triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation","volume":"114","author":"Tang","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.rse.2014.04.002","article-title":"Accuracy of the Temperature\u2013Vegetation Dryness Index using MODIS under water-limited vs. energy-limited evapotranspiration conditions","volume":"149","author":"Garcia","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.isprsjprs.2007.03.002","article-title":"Modified perpendicular drought index (MPDI): A real-time drought monitoring method","volume":"62","author":"Ghulam","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1983","DOI":"10.1080\/01431160701355264","article-title":"Evaluation of MODIS derived Perpendicular Drought Index for estimation of surface dryness over northwestern China","volume":"29","author":"Qin","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","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_41","doi-asserted-by":"crossref","first-page":"3743","DOI":"10.1080\/014311697216595","article-title":"Errors in a standard method for generating interannual NDVI coefficient of variation (COV) images","volume":"18","author":"Weiss","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Souza, G.D., Selward, A.S., and Malingreau, J.P. (1996). Advances in the Use of NOAA-AVHRR Data for Land Applications, Kluwer Academic Publishers.","DOI":"10.1007\/978-94-009-0203-9"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"3483","DOI":"10.1080\/01431160010006430","article-title":"ENSO drought onset prediction in northeast Brazil using NDVI","volume":"22","author":"Liu","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3827","DOI":"10.1080\/01431160010007033","article-title":"Spatial patterns of NDVI in response to precipitation and temperature in the Central Great Plains","volume":"22","author":"Wang","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Gallo, K., Ji, L., Reed, B., Dwyer, J., and Eidenshink, J. (2004). Comparison of MODIS and AVHRR 16-day Normalized Difference Vegetation Index composite data. Geophys. Res. Lett., 31.","DOI":"10.1029\/2003GL019385"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1109\/36.508406","article-title":"A generalized split-window algorithm for retrieving land-surface temperature from space","volume":"34","author":"Wan","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/0034-4257(94)90020-5","article-title":"Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index","volume":"49","author":"Moran","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_48","first-page":"1141","article-title":"Surface temperature correction in TVDI to evaluate soil moisture over a large area","volume":"8","author":"Li","year":"2010","journal-title":"J. Food Agric. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.rse.2006.02.007","article-title":"Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley\u2013Taylor parameter","volume":"102","author":"Wang","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_50","first-page":"192","article-title":"Estimation of regional evapotranspiration over the North China Plain using geostationary satellite data","volume":"13","author":"Shu","year":"2011","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.isprsjprs.2013.06.004","article-title":"Estimation of soil moisture using optical\/thermal infrared remote sensing in the Canadian Prairies","volume":"83","author":"Berg","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1038\/nmeth.2811","article-title":"Boxplotr: A web tool for generation of box plots","volume":"11","author":"Spitzer","year":"2014","journal-title":"Nat. Methods"},{"key":"ref_53","first-page":"309","article-title":"Spatial and temporal assessment of drought in the Northern Highlands of Ethiopia","volume":"13","author":"Gebrehiwot","year":"2011","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_54","first-page":"209","article-title":"Drought variation characteristics in Ningxia from 2000 to 2010 based on Temperature Vegetation Dryness Index by remote sensing","volume":"31","author":"Du","year":"2015","journal-title":"Trans. Chin. Soc. Agric. Eng."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/2\/177\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:28:42Z","timestamp":1760207322000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/2\/177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,20]]},"references-count":54,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2017,2]]}},"alternative-id":["rs9020177"],"URL":"https:\/\/doi.org\/10.3390\/rs9020177","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,20]]}}}