Assessing regional environmental quality by integrated use of remote sensing, GIS, and spatial multi-criteria evaluation for prioritization of environmental restoration View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-11

AUTHORS

Md. Rejaur Rahman, Z. H. Shi, Cai Chongfa

ABSTRACT

This study was an attempt to analyse the regional environmental quality with the application of remote sensing, geographical information system, and spatial multiple criteria decision analysis and, to project a quantitative method applicable to identify the status of the regional environment of the study area. Using spatial multi-criteria evaluation (SMCE) approach with expert knowledge in this study, an integrated regional environmental quality index (REQI) was computed and classified into five levels of regional environment quality viz. worse, poor, moderate, good, and very good. During the process, a set of spatial criteria were selected (here, 15 criterions) together with the degree of importance of criteria in sustainability of the regional environment. Integrated remote sensing and GIS technique and models were applied to generate the necessary factors (criterions) maps for the SMCE approach. The ranking, along with expected value method, was used to standardize the factors and on the other hand, an analytical hierarchy process (AHP) was applied for calculating factor weights. The entire process was executed in the integrated land and water information system (ILWIS) software tool that supports SMCE. The analysis showed that the overall regional environmental quality of the area was at moderate level and was partly determined by elevation. Areas under worse and poor quality of environment indicated that the regional environmental status showed decline in these parts of the county. The study also revealed that the human activities, vegetation condition, soil erosion, topography, climate, and soil conditions have serious influence on the regional environment condition of the area. Considering the regional characteristics of environmental quality, priority, and practical needs for environmental restoration, the study area was further regionalized into four priority areas which may serve as base areas of decision making for the recovery, rebuilding, and protection of the environment. More... »

PAGES

6993-7009

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-014-3905-4

DOI

http://dx.doi.org/10.1007/s10661-014-3905-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006153408

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25037964


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/2008/0909", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geomatic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Decision Support Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Restoration and Remediation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geographic Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Remote Sensing Technology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Rajshahi", 
          "id": "https://www.grid.ac/institutes/grid.412656.2", 
          "name": [
            "College of Resources and Environment, Huazhong Agricultural University, 430070, Wuhan, Hubei, China", 
            "Department of Geography and Environmental Studies, University of Rajshahi, 6205, Rajshahi, Bangladesh"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rahman", 
        "givenName": "Md. Rejaur", 
        "id": "sg:person.016366461365.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016366461365.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Huazhong Agricultural University", 
          "id": "https://www.grid.ac/institutes/grid.35155.37", 
          "name": [
            "College of Resources and Environment, Huazhong Agricultural University, 430070, Wuhan, Hubei, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shi", 
        "givenName": "Z. H.", 
        "id": "sg:person.01306643144.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306643144.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Rajshahi", 
          "id": "https://www.grid.ac/institutes/grid.412656.2", 
          "name": [
            "College of Resources and Environment, Huazhong Agricultural University, 430070, Wuhan, Hubei, China", 
            "Department of Geography and Environmental Studies, University of Rajshahi, 6205, Rajshahi, Bangladesh"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chongfa", 
        "givenName": "Cai", 
        "id": "sg:person.012223455121.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012223455121.32"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0048-9697(03)00433-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000252899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0048-9697(03)00433-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000252899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1573-5214(09)80003-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000947972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2005.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004496936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2007.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005237661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2496(77)90033-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008605415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2006.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010350938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2005.07.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014540286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2009.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015265206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2005.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015785316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2004.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016133777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2004.01.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020915922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(99)00221-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022659593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2003.12.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023939531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0198-9715(03)00019-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026659529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0198-9715(03)00019-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026659529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2007.04.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029440036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0013-7952(00)00041-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029560824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/014311698215991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030858078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1694(94)90110-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032186283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1694(94)90110-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032186283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(00)00380-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032905549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mcda.323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036796849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(86)90052-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041690552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(86)90052-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041690552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0341-8162(99)00062-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042160420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(03)00144-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047031147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(03)00144-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047031147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proenv.2012.01.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047228175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0893-6080(91)90012-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050039908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0893-6080(91)90012-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050039908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1002-0160(08)60005-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050301536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(01)00312-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051507546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s101090300095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052946418", 
          "https://doi.org/10.1007/s101090300095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9496(1998)124:2(89)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057605691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.13031/2013.30576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064896896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109716903", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-0838-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109716903", 
          "https://doi.org/10.1007/978-94-011-0838-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-0838-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109716903", 
          "https://doi.org/10.1007/978-94-011-0838-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-11", 
    "datePublishedReg": "2014-11-01", 
    "description": "This study was an attempt to analyse the regional environmental quality with the application of remote sensing, geographical information system, and spatial multiple criteria decision analysis and, to project a quantitative method applicable to identify the status of the regional environment of the study area. Using spatial multi-criteria evaluation (SMCE) approach with expert knowledge in this study, an integrated regional environmental quality index (REQI) was computed and classified into five levels of regional environment quality viz. worse, poor, moderate, good, and very good. During the process, a set of spatial criteria were selected (here, 15 criterions) together with the degree of importance of criteria in sustainability of the regional environment. Integrated remote sensing and GIS technique and models were applied to generate the necessary factors (criterions) maps for the SMCE approach. The ranking, along with expected value method, was used to standardize the factors and on the other hand, an analytical hierarchy process (AHP) was applied for calculating factor weights. The entire process was executed in the integrated land and water information system (ILWIS) software tool that supports SMCE. The analysis showed that the overall regional environmental quality of the area was at moderate level and was partly determined by elevation. Areas under worse and poor quality of environment indicated that the regional environmental status showed decline in these parts of the county. The study also revealed that the human activities, vegetation condition, soil erosion, topography, climate, and soil conditions have serious influence on the regional environment condition of the area. Considering the regional characteristics of environmental quality, priority, and practical needs for environmental restoration, the study area was further regionalized into four priority areas which may serve as base areas of decision making for the recovery, rebuilding, and protection of the environment. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10661-014-3905-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095684", 
        "issn": [
          "0167-6369", 
          "1573-2959"
        ], 
        "name": "Environmental Monitoring and Assessment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "186"
      }
    ], 
    "name": "Assessing regional environmental quality by integrated use of remote sensing, GIS, and spatial multi-criteria evaluation for prioritization of environmental restoration", 
    "pagination": "6993-7009", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1d5010a37b13af65606facf04c6a2400c1fe34b1235a767f37c3cebedc523acf"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25037964"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508350"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10661-014-3905-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006153408"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10661-014-3905-4", 
      "https://app.dimensions.ai/details/publication/pub.1006153408"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:20", 
    "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_8660_00000580.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10661-014-3905-4"
  }
]
 

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/s10661-014-3905-4'

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/s10661-014-3905-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10661-014-3905-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-014-3905-4'


 

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

212 TRIPLES      21 PREDICATES      68 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10661-014-3905-4 schema:about N02f43050ef7f444f9d9858b90015a63b
2 N3d6ec8a816534acdacabcfb21825230c
3 N657e698aa8304d44b3ecd02456e06f1f
4 N70cf3e86a5d44b968c7d2e54044409ac
5 N96f1f34365d345148cc20dacd976f7ad
6 Na5df46ae6a0e49d4ba05d46fef275364
7 Nb92ac672553d4757b3baeb70f745c8ab
8 anzsrc-for:09
9 anzsrc-for:0909
10 schema:author N13beac60360042f481eb61cf1bb760c8
11 schema:citation sg:pub.10.1007/978-94-011-0838-6
12 sg:pub.10.1007/s101090300095
13 https://app.dimensions.ai/details/publication/pub.1109716903
14 https://doi.org/10.1002/mcda.323
15 https://doi.org/10.1016/0022-1694(94)90110-4
16 https://doi.org/10.1016/0022-2496(77)90033-5
17 https://doi.org/10.1016/0304-3800(86)90052-9
18 https://doi.org/10.1016/0893-6080(91)90012-t
19 https://doi.org/10.1016/j.ecolmodel.2004.09.006
20 https://doi.org/10.1016/j.ecolmodel.2005.07.005
21 https://doi.org/10.1016/j.ecolmodel.2006.11.014
22 https://doi.org/10.1016/j.ecolmodel.2007.06.007
23 https://doi.org/10.1016/j.ecolmodel.2009.04.004
24 https://doi.org/10.1016/j.envsoft.2003.12.019
25 https://doi.org/10.1016/j.eswa.2005.07.038
26 https://doi.org/10.1016/j.jenvman.2005.12.024
27 https://doi.org/10.1016/j.jenvman.2007.04.026
28 https://doi.org/10.1016/j.proenv.2012.01.058
29 https://doi.org/10.1016/j.scitotenv.2004.01.014
30 https://doi.org/10.1016/s0013-7952(00)00041-7
31 https://doi.org/10.1016/s0048-9697(03)00433-9
32 https://doi.org/10.1016/s0198-9715(03)00019-x
33 https://doi.org/10.1016/s0304-3800(00)00380-x
34 https://doi.org/10.1016/s0304-3800(01)00312-x
35 https://doi.org/10.1016/s0304-3800(03)00144-3
36 https://doi.org/10.1016/s0341-8162(99)00062-4
37 https://doi.org/10.1016/s0378-1127(99)00221-2
38 https://doi.org/10.1016/s1002-0160(08)60005-3
39 https://doi.org/10.1016/s1573-5214(09)80003-1
40 https://doi.org/10.1061/(asce)0733-9496(1998)124:2(89)
41 https://doi.org/10.1080/014311698215991
42 https://doi.org/10.13031/2013.30576
43 schema:datePublished 2014-11
44 schema:datePublishedReg 2014-11-01
45 schema:description This study was an attempt to analyse the regional environmental quality with the application of remote sensing, geographical information system, and spatial multiple criteria decision analysis and, to project a quantitative method applicable to identify the status of the regional environment of the study area. Using spatial multi-criteria evaluation (SMCE) approach with expert knowledge in this study, an integrated regional environmental quality index (REQI) was computed and classified into five levels of regional environment quality viz. worse, poor, moderate, good, and very good. During the process, a set of spatial criteria were selected (here, 15 criterions) together with the degree of importance of criteria in sustainability of the regional environment. Integrated remote sensing and GIS technique and models were applied to generate the necessary factors (criterions) maps for the SMCE approach. The ranking, along with expected value method, was used to standardize the factors and on the other hand, an analytical hierarchy process (AHP) was applied for calculating factor weights. The entire process was executed in the integrated land and water information system (ILWIS) software tool that supports SMCE. The analysis showed that the overall regional environmental quality of the area was at moderate level and was partly determined by elevation. Areas under worse and poor quality of environment indicated that the regional environmental status showed decline in these parts of the county. The study also revealed that the human activities, vegetation condition, soil erosion, topography, climate, and soil conditions have serious influence on the regional environment condition of the area. Considering the regional characteristics of environmental quality, priority, and practical needs for environmental restoration, the study area was further regionalized into four priority areas which may serve as base areas of decision making for the recovery, rebuilding, and protection of the environment.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N23b15d7f0de747709db29eb82931e80d
50 Na3a11ff84ce947efad0e733d84e338f2
51 sg:journal.1095684
52 schema:name Assessing regional environmental quality by integrated use of remote sensing, GIS, and spatial multi-criteria evaluation for prioritization of environmental restoration
53 schema:pagination 6993-7009
54 schema:productId N0198f96f43c14ad9a64a6ccac2e29d0a
55 N189a91a9e5164357bda4fc7605ca8fd0
56 N3c8a7caae4c8482eb89465bc3e6ff5fd
57 N5f5e4aadf5fd418cad2f828b0d7d525d
58 N8bd68a0b457b4cb7a0ef004d95bd783d
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006153408
60 https://doi.org/10.1007/s10661-014-3905-4
61 schema:sdDatePublished 2019-04-10T14:20
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N42f4a44a3d3c4126a555c1316eceb357
64 schema:url http://link.springer.com/10.1007%2Fs10661-014-3905-4
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0198f96f43c14ad9a64a6ccac2e29d0a schema:name doi
69 schema:value 10.1007/s10661-014-3905-4
70 rdf:type schema:PropertyValue
71 N02f43050ef7f444f9d9858b90015a63b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Decision Support Techniques
73 rdf:type schema:DefinedTerm
74 N13beac60360042f481eb61cf1bb760c8 rdf:first sg:person.016366461365.69
75 rdf:rest N3a88c109b6154b2a8b0ab36446674371
76 N189a91a9e5164357bda4fc7605ca8fd0 schema:name nlm_unique_id
77 schema:value 8508350
78 rdf:type schema:PropertyValue
79 N23b15d7f0de747709db29eb82931e80d schema:issueNumber 11
80 rdf:type schema:PublicationIssue
81 N3a88c109b6154b2a8b0ab36446674371 rdf:first sg:person.01306643144.09
82 rdf:rest N5b72e69595984c00b9cd2f7d8368c86c
83 N3c8a7caae4c8482eb89465bc3e6ff5fd schema:name readcube_id
84 schema:value 1d5010a37b13af65606facf04c6a2400c1fe34b1235a767f37c3cebedc523acf
85 rdf:type schema:PropertyValue
86 N3d6ec8a816534acdacabcfb21825230c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Environment
88 rdf:type schema:DefinedTerm
89 N42f4a44a3d3c4126a555c1316eceb357 schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 N5b72e69595984c00b9cd2f7d8368c86c rdf:first sg:person.012223455121.32
92 rdf:rest rdf:nil
93 N5f5e4aadf5fd418cad2f828b0d7d525d schema:name dimensions_id
94 schema:value pub.1006153408
95 rdf:type schema:PropertyValue
96 N657e698aa8304d44b3ecd02456e06f1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Environmental Restoration and Remediation
98 rdf:type schema:DefinedTerm
99 N70cf3e86a5d44b968c7d2e54044409ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Remote Sensing Technology
101 rdf:type schema:DefinedTerm
102 N8bd68a0b457b4cb7a0ef004d95bd783d schema:name pubmed_id
103 schema:value 25037964
104 rdf:type schema:PropertyValue
105 N96f1f34365d345148cc20dacd976f7ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Environmental Monitoring
107 rdf:type schema:DefinedTerm
108 Na3a11ff84ce947efad0e733d84e338f2 schema:volumeNumber 186
109 rdf:type schema:PublicationVolume
110 Na5df46ae6a0e49d4ba05d46fef275364 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Humans
112 rdf:type schema:DefinedTerm
113 Nb92ac672553d4757b3baeb70f745c8ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Geographic Information Systems
115 rdf:type schema:DefinedTerm
116 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
117 schema:name Engineering
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
120 schema:name Geomatic Engineering
121 rdf:type schema:DefinedTerm
122 sg:journal.1095684 schema:issn 0167-6369
123 1573-2959
124 schema:name Environmental Monitoring and Assessment
125 rdf:type schema:Periodical
126 sg:person.012223455121.32 schema:affiliation https://www.grid.ac/institutes/grid.412656.2
127 schema:familyName Chongfa
128 schema:givenName Cai
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012223455121.32
130 rdf:type schema:Person
131 sg:person.01306643144.09 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
132 schema:familyName Shi
133 schema:givenName Z. H.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306643144.09
135 rdf:type schema:Person
136 sg:person.016366461365.69 schema:affiliation https://www.grid.ac/institutes/grid.412656.2
137 schema:familyName Rahman
138 schema:givenName Md. Rejaur
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016366461365.69
140 rdf:type schema:Person
141 sg:pub.10.1007/978-94-011-0838-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109716903
142 https://doi.org/10.1007/978-94-011-0838-6
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s101090300095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052946418
145 https://doi.org/10.1007/s101090300095
146 rdf:type schema:CreativeWork
147 https://app.dimensions.ai/details/publication/pub.1109716903 schema:CreativeWork
148 https://doi.org/10.1002/mcda.323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036796849
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/0022-1694(94)90110-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032186283
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0022-2496(77)90033-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008605415
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/0304-3800(86)90052-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041690552
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0893-6080(91)90012-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1050039908
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.ecolmodel.2004.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016133777
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.ecolmodel.2005.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015785316
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.ecolmodel.2006.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010350938
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.ecolmodel.2007.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005237661
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.ecolmodel.2009.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015265206
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.envsoft.2003.12.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023939531
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.eswa.2005.07.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014540286
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.jenvman.2005.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004496936
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.jenvman.2007.04.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029440036
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.proenv.2012.01.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047228175
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.scitotenv.2004.01.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020915922
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/s0013-7952(00)00041-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029560824
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/s0048-9697(03)00433-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000252899
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/s0198-9715(03)00019-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026659529
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/s0304-3800(00)00380-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032905549
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s0304-3800(01)00312-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051507546
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0304-3800(03)00144-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047031147
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s0341-8162(99)00062-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042160420
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/s0378-1127(99)00221-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022659593
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/s1002-0160(08)60005-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050301536
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/s1573-5214(09)80003-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000947972
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1061/(asce)0733-9496(1998)124:2(89) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057605691
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1080/014311698215991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030858078
203 rdf:type schema:CreativeWork
204 https://doi.org/10.13031/2013.30576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064896896
205 rdf:type schema:CreativeWork
206 https://www.grid.ac/institutes/grid.35155.37 schema:alternateName Huazhong Agricultural University
207 schema:name College of Resources and Environment, Huazhong Agricultural University, 430070, Wuhan, Hubei, China
208 rdf:type schema:Organization
209 https://www.grid.ac/institutes/grid.412656.2 schema:alternateName University of Rajshahi
210 schema:name College of Resources and Environment, Huazhong Agricultural University, 430070, Wuhan, Hubei, China
211 Department of Geography and Environmental Studies, University of Rajshahi, 6205, Rajshahi, Bangladesh
212 rdf:type schema:Organization
 




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


...