Ontology type: schema:Chapter Open Access: True
2018
AUTHORSDavid J. Lary , Gebreab K. Zewdie , Xun Liu , Daji Wu , Estelle Levetin , Rebecca J. Allee , Nabin Malakar , Annette Walker , Hamse Mussa , Antonio Mannino , Dirk Aurin
ABSTRACTMachine learning has found many applications in remote sensing. These applications range from retrieval algorithms to bias correction, from code acceleration to detection of disease in crops, from classification of pelagic habitats to rock type classification. As a broad subfield of artificial intelligence, machine learning is concerned with algorithms and techniques that allow computers to “learn” by example. The major focus of machine learning is to extract information from data automatically by computational and statistical methods. Over the last decade there has been considerable progress in developing a machine learning methodology for a variety of Earth Science applications involving trace gases, retrievals, aerosol products, land surface products, vegetation indices, and most recently, ocean applications. In this chapter, we will review some examples of how machine learning has already been useful for remote sensing and some likely future applications. More... »
PAGES165-218
Earth Observation Open Science and Innovation
ISBN
978-3-319-65632-8
978-3-319-65633-5
http://scigraph.springernature.com/pub.10.1007/978-3-319-65633-5_8
DOIhttp://dx.doi.org/10.1007/978-3-319-65633-5_8
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1100588547
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Lary",
"givenName": "David J.",
"id": "sg:person.01142244562.72",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142244562.72"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Zewdie",
"givenName": "Gebreab K.",
"id": "sg:person.012753140113.09",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012753140113.09"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Xun",
"id": "sg:person.011360177113.63",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011360177113.63"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Wu",
"givenName": "Daji",
"id": "sg:person.012155557513.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012155557513.11"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Levetin",
"givenName": "Estelle",
"id": "sg:person.0722221073.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722221073.15"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Allee",
"givenName": "Rebecca J.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Malakar",
"givenName": "Nabin",
"id": "sg:person.010724777565.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010724777565.50"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Walker",
"givenName": "Annette",
"id": "sg:person.016331436465.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331436465.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Mussa",
"givenName": "Hamse",
"id": "sg:person.01062012257.67",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062012257.67"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Mannino",
"givenName": "Antonio",
"id": "sg:person.01235355151.64",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235355151.64"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "The University of Texas at Dallas",
"id": "https://www.grid.ac/institutes/grid.267323.1",
"name": [
"The University of Texas at Dallas"
],
"type": "Organization"
},
"familyName": "Aurin",
"givenName": "Dirk",
"id": "sg:person.012425431432.17",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012425431432.17"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/pce.12601",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001104379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/rob.21624",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001736921"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rse.2012.10.028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003162400"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rse.2012.10.028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003162400"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-007-0129-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006257041",
"https://doi.org/10.1007/s00484-007-0129-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-007-0129-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006257041",
"https://doi.org/10.1007/s00484-007-0129-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2006jd007170",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006487038"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005jd006502",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006886503"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005jd006502",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006886503"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.forsciint.2012.09.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007742405"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2007gl030053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007951623"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/10408398.2011.651542",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007957148"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1385/criai:21:2-3:261",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010195895",
"https://doi.org/10.1385/criai:21:2-3:261"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.anai.2013.05.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011097033"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.anai.2014.08.019",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011563320"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00339-011-6689-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012084974",
"https://doi.org/10.1007/s00339-011-6689-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4314/wsa.v33i2.49049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013210157"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4314/wsa.v33i2.49049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013210157"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rse.2012.03.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013463962"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3122/jabfm.2008.03.070273",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013515293"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.marpolbul.2011.09.036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013519920"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.marpolbul.2014.03.059",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013660412"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-004-0247-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015836320",
"https://doi.org/10.1007/s00484-004-0247-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acpd-3-5711-2003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017422100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acpd-3-5711-2003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017422100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.engappai.2006.10.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018794685"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.patrec.2010.03.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021405554"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1353-2561(98)00023-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022937027"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2008gl035085",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024050543"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4081/gh.2014.292",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024275646"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00994018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025150743",
"https://doi.org/10.1007/bf00994018"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1748-9326/1/1/014005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025972049"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosenv.2010.09.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026070183"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2007jd008715",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026332399"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/labinvest.3700357",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026685520",
"https://doi.org/10.1038/labinvest.3700357"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/labinvest.3700357",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026685520",
"https://doi.org/10.1038/labinvest.3700357"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/labinvest.3700357",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026685520",
"https://doi.org/10.1038/labinvest.3700357"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1183/09031936.02.00962002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026996146"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000214681.94680.66",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027018153"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000214681.94680.66",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027018153"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.348.6230.22",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027209505"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.348.6230.22",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027209505"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-2440-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027312764",
"https://doi.org/10.1007/978-1-4757-2440-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-2440-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027312764",
"https://doi.org/10.1007/978-1-4757-2440-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amepre.2008.08.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027859246"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-011-0446-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027935702",
"https://doi.org/10.1007/s00484-011-0446-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.scitotenv.2014.01.056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027990444"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1117/12.379589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028191092"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-3264-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028478311",
"https://doi.org/10.1007/978-1-4757-3264-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-3264-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028478311",
"https://doi.org/10.1007/978-1-4757-3264-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02478259",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028715170",
"https://doi.org/10.1007/bf02478259"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02694505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030322336",
"https://doi.org/10.1007/bf02694505"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02694505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030322336",
"https://doi.org/10.1007/bf02694505"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0091-6749(84)90489-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032924411"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tifs.2007.06.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035509494"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosenv.2011.12.037",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036621886"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12665-009-0400-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036808677",
"https://doi.org/10.1007/s12665-009-0400-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijggc.2009.03.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037679851"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1117/12.502589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038101592"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-015-1077-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038728317",
"https://doi.org/10.1007/s00484-015-1077-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-015-1077-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038728317",
"https://doi.org/10.1007/s00484-015-1077-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/cncr.11255",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039004765"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160802238435",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040660553"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.gsf.2015.07.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042538861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005gl023597",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043150660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005gl023597",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043150660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2006gl025827",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044685252"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1710-1492-4-3-130",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045240150",
"https://doi.org/10.1186/1710-1492-4-3-130"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1081-1206(10)62009-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046063192"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1081-1206(10)62177-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046171833"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01212623",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046297221",
"https://doi.org/10.1007/bf01212623"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01212623",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046297221",
"https://doi.org/10.1007/bf01212623"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1365-2222.2002.01510.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047009921"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neunet.2009.06.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047803123"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jphotobiol.2015.02.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048238239"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00173139109427772",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053735215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/10.7291",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061085348"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/21.97458",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061122456"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/34.709601",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061156844"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/lgrs.2009.2023605",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061358854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/ao.33.004552",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065109091"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5860/choice.194685",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1073283516"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082627159",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/igarss.2010.5652580",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095410252"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1103194957",
"type": "CreativeWork"
}
],
"datePublished": "2018",
"datePublishedReg": "2018-01-01",
"description": "Machine learning has found many applications in remote sensing. These applications range from retrieval algorithms to bias correction, from code acceleration to detection of disease in crops, from classification of pelagic habitats to rock type classification. As a broad subfield of artificial intelligence, machine learning is concerned with algorithms and techniques that allow computers to \u201clearn\u201d by example. The major focus of machine learning is to extract information from data automatically by computational and statistical methods. Over the last decade there has been considerable progress in developing a machine learning methodology for a variety of Earth Science applications involving trace gases, retrievals, aerosol products, land surface products, vegetation indices, and most recently, ocean applications. In this chapter, we will review some examples of how machine learning has already been useful for remote sensing and some likely future applications.",
"editor": [
{
"familyName": "Mathieu",
"givenName": "Pierre-Philippe",
"type": "Person"
},
{
"familyName": "Aubrecht",
"givenName": "Christoph",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-319-65633-5_8",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": {
"isbn": [
"978-3-319-65632-8",
"978-3-319-65633-5"
],
"name": "Earth Observation Open Science and Innovation",
"type": "Book"
},
"name": "Machine Learning Applications for Earth Observation",
"pagination": "165-218",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-319-65633-5_8"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"6ff6ebb278eb62d491bc7e40a4f52b39e6ef543ca002aa093acc1b0a43b48b4c"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1100588547"
]
}
],
"publisher": {
"location": "Cham",
"name": "Springer International Publishing",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-319-65633-5_8",
"https://app.dimensions.ai/details/publication/pub.1100588547"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T16:00",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000603.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-319-65633-5_8"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-65633-5_8'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-65633-5_8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-65633-5_8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-65633-5_8'
This table displays all metadata directly associated to this object as RDF triples.
362 TRIPLES
23 PREDICATES
97 URIs
20 LITERALS
8 BLANK NODES