{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:56:35Z","timestamp":1762642595192,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9555174","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T17:49:09Z","timestamp":1634147349000},"page":"492-494","source":"Crossref","is-referenced-by-count":2,"title":["Soil Organic Carbon Modelling with Digital Soil Mapping and Remote Sensing for Permanently Vegetated Areas"],"prefix":"10.1109","author":[{"given":"Laura","family":"Poggio","sequence":"first","affiliation":[{"name":"ISRIC - World Soil Information - Wageningen (NL)"}]},{"given":"Luis","family":"De Sousa","sequence":"additional","affiliation":[{"name":"ISRIC - World Soil Information - Wageningen (NL)"}]},{"given":"Giulio","family":"Genova","sequence":"additional","affiliation":[{"name":"ISRIC - World Soil Information - Wageningen (NL)"}]},{"given":"Pablo","family":"D'Angelo","sequence":"additional","affiliation":[{"name":"German Aerospace Center - DLR (DE)"}]},{"given":"Peter","family":"Schwind","sequence":"additional","affiliation":[{"name":"German Aerospace Center - DLR (DE)"}]},{"given":"Uta","family":"Heiden","sequence":"additional","affiliation":[{"name":"German Aerospace Center - DLR (DE)"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v077.i01"},{"key":"ref11","first-page":"983","article-title":"Quantile regression forests","volume":"7","author":"meinshausen","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","article-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","author":"abadi","year":"2016","journal-title":"ArXiv e-prints"},{"key":"ref13","first-page":"1","article-title":"Using deep learning for digital soil mapping","volume":"2018","author":"padarian","year":"2018","journal-title":"SOIL Discussions"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2019.03.017"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.geoderma.2019.05.031","article-title":"Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review","volume":"352","author":"kumar","year":"2019","journal-title":"Geoderma"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2015.07.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/joc.5086"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2013.05.029"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2017.11.004","article-title":"Building an exposed soil composite processor (scmap) for mapping spatial andtemporal characteristics of soils with landsat imagery (1984–2014)","volume":"205","author":"bauer","year":"2018","journal-title":"Remote Sensing of Environment"},{"journal-title":"ERA5 Fifth generation of ECMWF atmospheric reanalyses of the global climate Copernicus climate change service climate data store (CDS)","year":"2017","key":"ref7"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/S0016-7061(03)00223-4","article-title":"On digital soil mapping","volume":"117","author":"mcbratney","year":"2003","journal-title":"Geoderma"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"111383","DOI":"10.1016\/j.rse.2019.111383","article-title":"Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years","volume":"233","author":"chevallier","year":"2019","journal-title":"Remote Sensing of Environment"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2021,7,11]]},"location":"Brussels, Belgium","end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09555174.pdf?arnumber=9555174","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T19:18:17Z","timestamp":1663874297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9555174\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9555174","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}