Dynamic bp in the L Band and Its Role in Improving the Accuracy of Soil Moisture Retrieval View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Tao Jiang, Kai Zhao, Xingming Zheng, Si Chen, Xiangkun Wan

ABSTRACT

The parameter bp in the tuo-omega (τ–ω) model is important for retrieving soil moisture data from passive microwave brightness temperatures. Theoretically, bp depends on the observation mode (polarization, frequency, and incidence angle) and vegetation properties and varies with vegetation growth. For simplicity, previous studies have taken bp to be a constant. However, to reduce the uncertainty of soil moisture retrieval further, the present study is of the dynamics of bp based on the SMAPVEX12 experimental dataset by combining a genetic algorithm and the L-MEB microwave radiative transfer model of vegetated soil. The results show the following. First, bp decreases nonlinearly with vegetation water content (VWC), decreasing critically when VWC becomes less than 2 kg/m2. Second, there is a power law between bp and VWC for both horizontal and vertical polarizations (R2 = 0.919 and 0.872, respectively). Third, the effectiveness of this relationship is verified by comparing its soil-moisture inversion accuracy with the previous constant-bp method based on the HiWATER dataset. Doing so reveals that the dynamic bp method reduces the root-mean-square error of the retrieved soil moisture by approximately 0.06 cm3/cm3, and similar improvement is obtained for the calibrated SMAPVEX12 dataset. Our results indicate that the dynamic bp method is reasonable for different vegetation growth stages and could improve the accuracy of soil moisture retrieval. More... »

PAGES

283-292

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11769-019-1028-0

DOI

http://dx.doi.org/10.1007/s11769-019-1028-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112504622


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/0503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Soil Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China", 
            "University of Chinese Academy of Sciences, 100049, Beijing, China", 
            "Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, 130102, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiang", 
        "givenName": "Tao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China", 
            "Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, 130102, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Kai", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China", 
            "Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, 130102, Changchun, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zheng", 
        "givenName": "Xingming", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China", 
            "University of Chinese Academy of Sciences, 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Si", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China", 
            "University of Chinese Academy of Sciences, 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wan", 
        "givenName": "Xiangkun", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3390/rs70810878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009262851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0034-4257(94)00081-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011580341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2003.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012094353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2003.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012094353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/rs71013273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012766263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2008.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015042255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2012.10.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020520822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/wr018i004p01137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033493814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2006.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034057870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-d-12-00154.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037622300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(95)02296-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038063229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jc086ic06p05277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038070539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2007.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040804727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0034-4257(91)90057-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045069373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0034-4257(91)90057-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045069373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-3-439-1999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046305261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-3-439-1999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046305261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2006.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051053012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.368208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061161202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.508412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061161471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.536525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061161485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.58989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061161632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/36.942548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061162690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/lgrs.2004.834594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061358154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.1986.289705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061608263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.1987.289741", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061608285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2002.808243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061608723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2003.811083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061608800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2003.815417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061608942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2003.817976", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061609030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2003.821889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061609088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2007.894935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061610151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2008.2011631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061610705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tgrs.2012.2184548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061612233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/pbew052e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098687761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12583-018-0837-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103421586", 
          "https://doi.org/10.1007/s12583-018-0837-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12583-018-0837-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103421586", 
          "https://doi.org/10.1007/s12583-018-0837-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "The parameter bp in the tuo-omega (\u03c4\u2013\u03c9) model is important for retrieving soil moisture data from passive microwave brightness temperatures. Theoretically, bp depends on the observation mode (polarization, frequency, and incidence angle) and vegetation properties and varies with vegetation growth. For simplicity, previous studies have taken bp to be a constant. However, to reduce the uncertainty of soil moisture retrieval further, the present study is of the dynamics of bp based on the SMAPVEX12 experimental dataset by combining a genetic algorithm and the L-MEB microwave radiative transfer model of vegetated soil. The results show the following. First, bp decreases nonlinearly with vegetation water content (VWC), decreasing critically when VWC becomes less than 2 kg/m2. Second, there is a power law between bp and VWC for both horizontal and vertical polarizations (R2 = 0.919 and 0.872, respectively). Third, the effectiveness of this relationship is verified by comparing its soil-moisture inversion accuracy with the previous constant-bp method based on the HiWATER dataset. Doing so reveals that the dynamic bp method reduces the root-mean-square error of the retrieved soil moisture by approximately 0.06 cm3/cm3, and similar improvement is obtained for the calibrated SMAPVEX12 dataset. Our results indicate that the dynamic bp method is reasonable for different vegetation growth stages and could improve the accuracy of soil moisture retrieval.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11769-019-1028-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028731", 
        "issn": [
          "1002-0063", 
          "1993-064X"
        ], 
        "name": "Chinese Geographical Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Dynamic bp in the L Band and Its Role in Improving the Accuracy of Soil Moisture Retrieval", 
    "pagination": "283-292", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7553fa5ea324ec4f5397d8503b5aad5c976c68fb93c74ba5fb4faaeedebdcd84"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11769-019-1028-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112504622"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11769-019-1028-0", 
      "https://app.dimensions.ai/details/publication/pub.1112504622"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:48", 
    "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/v90/0000000350_0000000350/records_77548_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11769-019-1028-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s11769-019-1028-0'

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/s11769-019-1028-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11769-019-1028-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11769-019-1028-0'


 

This table displays all metadata directly associated to this object as RDF triples.

190 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11769-019-1028-0 schema:about anzsrc-for:05
2 anzsrc-for:0503
3 schema:author N0916737f6da24998bf78569fc27bee32
4 schema:citation sg:pub.10.1007/s12583-018-0837-x
5 https://doi.org/10.1016/0034-4257(91)90057-d
6 https://doi.org/10.1016/0034-4257(94)00081-w
7 https://doi.org/10.1016/0168-1923(95)02296-1
8 https://doi.org/10.1016/j.rse.2003.08.002
9 https://doi.org/10.1016/j.rse.2006.10.014
10 https://doi.org/10.1016/j.rse.2006.12.002
11 https://doi.org/10.1016/j.rse.2007.04.009
12 https://doi.org/10.1016/j.rse.2008.10.010
13 https://doi.org/10.1016/j.rse.2012.10.021
14 https://doi.org/10.1029/jc086ic06p05277
15 https://doi.org/10.1029/wr018i004p01137
16 https://doi.org/10.1049/pbew052e
17 https://doi.org/10.1109/36.368208
18 https://doi.org/10.1109/36.508412
19 https://doi.org/10.1109/36.536525
20 https://doi.org/10.1109/36.58989
21 https://doi.org/10.1109/36.942548
22 https://doi.org/10.1109/lgrs.2004.834594
23 https://doi.org/10.1109/tgrs.1986.289705
24 https://doi.org/10.1109/tgrs.1987.289741
25 https://doi.org/10.1109/tgrs.2002.808243
26 https://doi.org/10.1109/tgrs.2003.811083
27 https://doi.org/10.1109/tgrs.2003.815417
28 https://doi.org/10.1109/tgrs.2003.817976
29 https://doi.org/10.1109/tgrs.2003.821889
30 https://doi.org/10.1109/tgrs.2007.894935
31 https://doi.org/10.1109/tgrs.2008.2011631
32 https://doi.org/10.1109/tgrs.2012.2184548
33 https://doi.org/10.1175/bams-d-12-00154.1
34 https://doi.org/10.3390/rs70810878
35 https://doi.org/10.3390/rs71013273
36 https://doi.org/10.5194/hess-3-439-1999
37 schema:datePublished 2019-04
38 schema:datePublishedReg 2019-04-01
39 schema:description The parameter bp in the tuo-omega (τ–ω) model is important for retrieving soil moisture data from passive microwave brightness temperatures. Theoretically, bp depends on the observation mode (polarization, frequency, and incidence angle) and vegetation properties and varies with vegetation growth. For simplicity, previous studies have taken bp to be a constant. However, to reduce the uncertainty of soil moisture retrieval further, the present study is of the dynamics of bp based on the SMAPVEX12 experimental dataset by combining a genetic algorithm and the L-MEB microwave radiative transfer model of vegetated soil. The results show the following. First, bp decreases nonlinearly with vegetation water content (VWC), decreasing critically when VWC becomes less than 2 kg/m2. Second, there is a power law between bp and VWC for both horizontal and vertical polarizations (R2 = 0.919 and 0.872, respectively). Third, the effectiveness of this relationship is verified by comparing its soil-moisture inversion accuracy with the previous constant-bp method based on the HiWATER dataset. Doing so reveals that the dynamic bp method reduces the root-mean-square error of the retrieved soil moisture by approximately 0.06 cm3/cm3, and similar improvement is obtained for the calibrated SMAPVEX12 dataset. Our results indicate that the dynamic bp method is reasonable for different vegetation growth stages and could improve the accuracy of soil moisture retrieval.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N7fccd19566024f92b60537abd4f2627d
44 Nbfef82df0aaf457bbf8c80f6bf04832f
45 sg:journal.1028731
46 schema:name Dynamic bp in the L Band and Its Role in Improving the Accuracy of Soil Moisture Retrieval
47 schema:pagination 283-292
48 schema:productId N2a029276a5b54d64983dc44ce3c8d777
49 N3635fe24b79b482ca25f759421349faf
50 Nefaaccd70b8647079623f35db1f903ba
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112504622
52 https://doi.org/10.1007/s11769-019-1028-0
53 schema:sdDatePublished 2019-04-11T10:48
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Nfbef6105f64c44de80900cf93157163a
56 schema:url https://link.springer.com/10.1007%2Fs11769-019-1028-0
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0916737f6da24998bf78569fc27bee32 rdf:first N39ef59c38fc242b2a30645065723b7bc
61 rdf:rest N78d0815866de49ad90c961d53399498f
62 N2a029276a5b54d64983dc44ce3c8d777 schema:name readcube_id
63 schema:value 7553fa5ea324ec4f5397d8503b5aad5c976c68fb93c74ba5fb4faaeedebdcd84
64 rdf:type schema:PropertyValue
65 N2df85207cb44429a8244ebe1af324315 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
66 schema:familyName Zhao
67 schema:givenName Kai
68 rdf:type schema:Person
69 N340b08bb1b76491a9211a057b48b8d0a rdf:first N9b62136ba0a54752860df790a958c52f
70 rdf:rest rdf:nil
71 N3635fe24b79b482ca25f759421349faf schema:name dimensions_id
72 schema:value pub.1112504622
73 rdf:type schema:PropertyValue
74 N39ef59c38fc242b2a30645065723b7bc schema:affiliation https://www.grid.ac/institutes/grid.9227.e
75 schema:familyName Jiang
76 schema:givenName Tao
77 rdf:type schema:Person
78 N54174665d173425ca765982e9bd12f5c schema:affiliation https://www.grid.ac/institutes/grid.410726.6
79 schema:familyName Chen
80 schema:givenName Si
81 rdf:type schema:Person
82 N78d0815866de49ad90c961d53399498f rdf:first N2df85207cb44429a8244ebe1af324315
83 rdf:rest Nc3ae698dc96e4093b07486bb1f4a081f
84 N7fccd19566024f92b60537abd4f2627d schema:volumeNumber 29
85 rdf:type schema:PublicationVolume
86 N9b62136ba0a54752860df790a958c52f schema:affiliation https://www.grid.ac/institutes/grid.410726.6
87 schema:familyName Wan
88 schema:givenName Xiangkun
89 rdf:type schema:Person
90 Nbfef82df0aaf457bbf8c80f6bf04832f schema:issueNumber 2
91 rdf:type schema:PublicationIssue
92 Nc3ae698dc96e4093b07486bb1f4a081f rdf:first Nfbaef7946e09478297892e053c4448da
93 rdf:rest Nc8bdc7156175487fb0886f11ad64016f
94 Nc8bdc7156175487fb0886f11ad64016f rdf:first N54174665d173425ca765982e9bd12f5c
95 rdf:rest N340b08bb1b76491a9211a057b48b8d0a
96 Nefaaccd70b8647079623f35db1f903ba schema:name doi
97 schema:value 10.1007/s11769-019-1028-0
98 rdf:type schema:PropertyValue
99 Nfbaef7946e09478297892e053c4448da schema:affiliation https://www.grid.ac/institutes/grid.9227.e
100 schema:familyName Zheng
101 schema:givenName Xingming
102 rdf:type schema:Person
103 Nfbef6105f64c44de80900cf93157163a schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
106 schema:name Environmental Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
109 schema:name Soil Sciences
110 rdf:type schema:DefinedTerm
111 sg:journal.1028731 schema:issn 1002-0063
112 1993-064X
113 schema:name Chinese Geographical Science
114 rdf:type schema:Periodical
115 sg:pub.10.1007/s12583-018-0837-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1103421586
116 https://doi.org/10.1007/s12583-018-0837-x
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/0034-4257(91)90057-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1045069373
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/0034-4257(94)00081-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1011580341
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/0168-1923(95)02296-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038063229
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.rse.2003.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012094353
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.rse.2006.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051053012
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.rse.2006.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034057870
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.rse.2007.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040804727
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.rse.2008.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015042255
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.rse.2012.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020520822
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1029/jc086ic06p05277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038070539
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1029/wr018i004p01137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033493814
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1049/pbew052e schema:sameAs https://app.dimensions.ai/details/publication/pub.1098687761
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1109/36.368208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161202
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1109/36.508412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161471
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1109/36.536525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161485
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1109/36.58989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161632
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1109/36.942548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061162690
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1109/lgrs.2004.834594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061358154
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1109/tgrs.1986.289705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608263
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1109/tgrs.1987.289741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608285
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1109/tgrs.2002.808243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608723
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1109/tgrs.2003.811083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608800
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1109/tgrs.2003.815417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608942
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1109/tgrs.2003.817976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061609030
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1109/tgrs.2003.821889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061609088
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1109/tgrs.2007.894935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061610151
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1109/tgrs.2008.2011631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061610705
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1109/tgrs.2012.2184548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061612233
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1175/bams-d-12-00154.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037622300
175 rdf:type schema:CreativeWork
176 https://doi.org/10.3390/rs70810878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009262851
177 rdf:type schema:CreativeWork
178 https://doi.org/10.3390/rs71013273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012766263
179 rdf:type schema:CreativeWork
180 https://doi.org/10.5194/hess-3-439-1999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046305261
181 rdf:type schema:CreativeWork
182 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
183 schema:name Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China
184 University of Chinese Academy of Sciences, 100049, Beijing, China
185 rdf:type schema:Organization
186 https://www.grid.ac/institutes/grid.9227.e schema:alternateName Chinese Academy of Sciences
187 schema:name Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, 130102, Changchun, China
188 Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, China
189 University of Chinese Academy of Sciences, 100049, Beijing, China
190 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...