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Su Creator: Elsevier CreationDate: Wed Mar 27 07:48:55 2019 CET ModDate: Wed Mar 27 07:48:55 2019 CET Tagged: no UserProperties: no Suspects: no Form: AcroForm JavaScript: no Pages: 9 Encrypted: no Page size: 595.276 x 793.701 pts Page rot: 0 File size: 4027076 bytes Optimized: yes PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- YKMDMB+CharisSIL CID Type 0C Identity-H yes yes yes 728 0 MLRKMV+CharisSIL Type 1C Custom yes yes yes 705 0 BXSUNA+UniversLTStd Type 1C Custom yes yes yes 706 0 BREGJE+STIXGeneral-Regular Type 1C Custom yes yes yes 707 0 ZZFWFD+CharisSIL-Italic Type 1C Custom yes yes yes 708 0 EPCMXV+CharisSIL-Bold Type 1C Custom yes yes yes 721 0 IHKGWH+CharisSIL-Italic CID Type 0C Identity-H yes yes yes 414 0 RJOCNV+STIXTwoMath Type 1 Custom yes yes no 27 0 QGLMJL+STIXTwoText-Italic Type 1 Custom yes yes no 30 0 BJBYWY+STIXTwoText Type 1 Custom yes yes no 33 0 OPCWNO+Calibri-Bold Type 1 Custom yes yes no 66 0 Times-Bold Type 1 Custom no no no 70 0 SJRELY+Calibri-Bold Type 1 Custom yes yes no 85 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-01-10 02:32:36 CET RepresentationInformation: 286582.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-01-09 11:38:27 CET Size: 4027076 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF PDFMetadata: Objects: 785 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Language: en Outlines: Item: Title: Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions Destination: mk:title Children: Item: Title: Introduction Destination: mk:H1_1 Item: Title: Material and methods Destination: mk:H1_2 Children: Item: Title: Remote sensing data analysis Destination: mk:H2_3 Children: Item: Title: Remote sensing data sources Destination: mk:H2_4 Item: Title: Processing remote sensing data Destination: mk:H2_5 Item: Title: Derivation of vegetation index   NDVI Destination: mk:H2_6 Item: Title: Health outcome analysis Destination: mk:H2_7 Children: Item: Title: Study population Destination: mk:H2_8 Item: Title: Questionnaire data Destination: mk:H2_9 Item: Title: Statistical analyses Destination: mk:H2_10 Item: Title: Results Destination: mk:H1_11 Children: Item: Title: Differences in characterizing green space Destination: mk:H2_12 Item: Title: Differences in health outcomes Destination: mk:H2_13 Item: Title: Discussion Destination: mk:H1_14 Item: Title: Conclusion Destination: mk:H1_15 Item: Title: Acknowledgements Destination: mk:H1_16 Item: Title: References Destination: mk:H1_17 Info: Title: Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions Author: Jason G. Su Subject: Environment International, 126 (2019) 162-170. doi:10.1016/j.envint.2019.02.008 Keywords: Normalized difference vegetation index; WorldView2; RapidEye; LandSat; Spatial resolution; Buffer distance; Health outcomes; Barcelona; Creator: Elsevier CreationDate: Wed Mar 27 07:48:55 CET 2019 ModDate: Wed Mar 27 07:48:55 CET 2019 ID: 0x34e8ff1879ed3dbdd74804e31a6568d1, 0x32e8dbd11dc11b48ad8b9d80af68b444 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 236 ImageHeight: 298 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 991 ImageHeight: 1087 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2766 ImageHeight: 2758 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2131 ImageHeight: 969 BitsPerSample: 8 BitsPerSampleUnit: integer Fonts: Type0: Font: BaseFont: YKMDMB+CharisSIL Encoding: Identity-H ToUnicode: true Font: BaseFont: IHKGWH+CharisSIL-Italic Encoding: Identity-H ToUnicode: true Type1: Font: BaseFont: EPCMXV+CharisSIL-Bold FontSubset: true FirstChar: 1 LastChar: 33 FontDescriptor: FontName: EPCMXV+CharisSIL-Bold Flags: Nonsymbolic, ForceBold FontBBox: -720, -533, 3000, 1270 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: MLRKMV+CharisSIL FontSubset: true FirstChar: 1 LastChar: 99 FontDescriptor: FontName: MLRKMV+CharisSIL Flags: Nonsymbolic FontBBox: -692, -533, 3000, 1270 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: BXSUNA+UniversLTStd FontSubset: true FirstChar: 1 LastChar: 21 FontDescriptor: FontName: BXSUNA+UniversLTStd Flags: Nonsymbolic FontBBox: -168, -250, 992, 947 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: BREGJE+STIXGeneral-Regular FontSubset: true FirstChar: 1 LastChar: 1 FontDescriptor: FontName: BREGJE+STIXGeneral-Regular Flags: Nonsymbolic FontBBox: -995, -455, 2000, 1055 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: ZZFWFD+CharisSIL-Italic FontSubset: true FirstChar: 1 LastChar: 63 FontDescriptor: FontName: ZZFWFD+CharisSIL-Italic Flags: Nonsymbolic, Italic FontBBox: -716, -533, 3058, 1270 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true CIDFontType0: Font: BaseFont: YKMDMB+CharisSIL CIDSystemInfo: Registry: Adobe Registry: Identity Supplement: 0 FontDescriptor: FontName: YKMDMB+CharisSIL Flags: Serif, Symbolic FontBBox: -692, -533, 3000, 1270 FontFile3: true Font: BaseFont: IHKGWH+CharisSIL-Italic CIDSystemInfo: Registry: Adobe Registry: Identity Supplement: 0 FontDescriptor: FontName: IHKGWH+CharisSIL-Italic Flags: Serif, Symbolic, Italic FontBBox: -716, -533, 3058, 1270 FontFile3: true XMP: application/pdf doi:10.1016/j.envint.2019.02.008 Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions Jason G. Su Payam Dadvand Mark J. Nieuwenhuijsen Xavier Bartoll Michael Jerrett Normalized difference vegetation index WorldView2 RapidEye LandSat Spatial resolution Buffer distance Health outcomes Barcelona Elsevier Environment International, 126 (2019) 162-170. doi:10.1016/j.envint.2019.02.008 journal Environment International © 2019 The Authors. 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Annotation: Subtype: Link Rect: 306, 567, 557, 573 Flags: Print Annotation: Subtype: Link Rect: 318, 559, 551, 566 Flags: Print Annotation: Subtype: Link Rect: 318, 551, 397, 558 Flags: Print Annotation: Subtype: Link Rect: 306, 543, 557, 550 Flags: Print Annotation: Subtype: Link Rect: 318, 535, 508, 542 Flags: Print Annotation: Subtype: Link Rect: 306, 527, 555, 534 Flags: Print Annotation: Subtype: Link Rect: 318, 519, 557, 526 Flags: Print Annotation: Subtype: Link Rect: 318, 511, 543, 518 Flags: Print Annotation: Subtype: Link Rect: 318, 503, 343, 510 Flags: Print Annotation: Subtype: Link Rect: 306, 495, 547, 502 Flags: Print Annotation: Subtype: Link Rect: 318, 487, 557, 494 Flags: Print Annotation: Subtype: Link Rect: 318, 479, 374, 486 Flags: Print Annotation: Subtype: Link Rect: 306, 471, 556, 478 Flags: Print Annotation: Subtype: Link Rect: 318, 463, 553, 470 Flags: Print Annotation: Subtype: Link Rect: 318, 455, 450, 462 Flags: Print Checksum: badf3843 Type: CRC32 Checksum: 02561dfabbf59864699832a3c9d7432b Type: MD5 Checksum: c74a907050e19b1e6abb386dd555df984c82d592 Type: SHA-1 Checksum: ba59ff2b84ac899caed7db2e6a2c767859de125907eb146011acd242c3951c43 Type: SHA-256