92f93dfadf77aac732afbf580c8ed798 Below_the_Radar.pdf 78ba211c000e2c3ac022627be58942c189429717 Below_the_Radar.pdf bf2dbfdfb7537511e379a0531a35b63230a8a7efb188a7f70e0c94f4a66a8f01 Below_the_Radar.pdf Title: Below the Radar: Data, Narratives and the Politics of Irrigation in Sub-Saharan Africa Keywords: Irrigation, small-scale farming, remote sensing, water resource governance, data politics, narratives, sub-Saharan Africa, Tanzania Author: Jean-Philippe Venot;Samuel Bowers;Dan Brockington;Hans Komakech;Casey Ryan;Gert Jan Veldwisch;Philip Woodhouse Creator: Acrobat PDFMaker 17 pour Word Producer: Adobe PDF Library 17.11.238 CreationDate: Sun Jun 6 08:38:12 2021 CEST ModDate: Sun Jun 6 08:38:21 2021 CEST Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 27 Encrypted: no Page size: 595.32 x 842.04 pts (A4) Page rot: 0 File size: 1168683 bytes Optimized: yes PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- KNNNOJ+Calibri TrueType WinAnsi yes yes yes 985 0 BFAGSB+TimesNewRomanPS-BoldMT TrueType WinAnsi yes yes yes 987 0 QUJSUX+Calibri-Bold TrueType WinAnsi yes yes yes 140 0 VMURMN+Calibri-Italic TrueType WinAnsi yes yes yes 138 0 WYHXAL+ArialMT TrueType WinAnsi yes yes yes 161 0 RVZDIV+Calibri CID TrueType Identity-H yes yes yes 189 0 QPFNUX+Verdana-Italic TrueType WinAnsi yes yes yes 186 0 LFSJCH+Cambria-Bold TrueType WinAnsi yes yes yes 192 0 GAFAKR+Verdana-Bold TrueType WinAnsi yes yes yes 194 0 CPHCGZ+Verdana TrueType WinAnsi yes yes yes 193 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-10-26 02:22:24 CEST RepresentationInformation: Below_the_Radar.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-09-15 01:34:40 CEST Size: 1168683 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF, Tagged PDF PDFMetadata: Objects: 0 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: OneColumn PageMode: UseNone Outlines: Item: Title: Introduction Item: Title: Counting and conceptualising irrigation: Problems with official sources Item: Title: Remote sensing attempts to detect irrigation Item: Title: Beyond data: Explaining the invisibility of farmer-led irrigation development Item: Title: The politics of new data and challenges of redefining irrigation Item: Title: Conclusions Item: Title: Acknowledgments Item: Title: References Item: Title: Appendices Children: Item: Title: Appendix 1. Preprocessing procedures for Sentinel 1 images Item: Title: Appendix 2. Importance values from Random Forest classifiers for different input features (radar reflection characteristics) in (a) Kilimanjaro, (b) Rukwa, and (c) Shinyanga regions Item: Title: Appendix 3. Accuracy assessment: Approach and proportion of pixels accurately identified Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 155 ImageHeight: 107 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/png ImageWidth: 600 ImageHeight: 244 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1000 ImageHeight: 1000 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1000 ImageHeight: 1000 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 674 ImageHeight: 564 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 674 ImageHeight: 564 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 460 ImageHeight: 384 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 90 ImageHeight: 33 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Name: X Fonts: Type0: Font: BaseFont: RVZDIV+Calibri Encoding: Identity-H ToUnicode: true TrueType: Font: BaseFont: LFSJCH+Cambria-Bold FontSubset: true FirstChar: 32 LastChar: 32 FontDescriptor: FontName: LFSJCH+Cambria-Bold Flags: Serif, Nonsymbolic FontBBox: -1110, -299, 1373, 1047 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: WYHXAL+ArialMT FontSubset: true FirstChar: 32 LastChar: 32 FontDescriptor: FontName: WYHXAL+ArialMT Flags: Nonsymbolic FontBBox: -665, -325, 2000, 1040 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: CPHCGZ+Verdana FontSubset: true FirstChar: 32 LastChar: 177 FontDescriptor: FontName: CPHCGZ+Verdana Flags: Nonsymbolic FontBBox: -560, -303, 1523, 1051 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: GAFAKR+Verdana-Bold FontSubset: true FirstChar: 32 LastChar: 32 FontDescriptor: FontName: GAFAKR+Verdana-Bold Flags: Nonsymbolic FontBBox: -550, -303, 1707, 1072 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: KNNNOJ+Calibri FontSubset: true FirstChar: 32 LastChar: 252 FontDescriptor: FontName: KNNNOJ+Calibri Flags: Nonsymbolic FontBBox: -503, -312, 1240, 1026 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: VMURMN+Calibri-Italic FontSubset: true FirstChar: 32 LastChar: 233 FontDescriptor: FontName: VMURMN+Calibri-Italic Flags: Nonsymbolic, Italic FontBBox: -725, -276, 1260, 1026 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: QPFNUX+Verdana-Italic FontSubset: true FirstChar: 32 LastChar: 32 FontDescriptor: FontName: QPFNUX+Verdana-Italic Flags: Nonsymbolic, Italic FontBBox: -453, -303, 1585, 1051 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: BFAGSB+TimesNewRomanPS-BoldMT FontSubset: true FirstChar: 32 LastChar: 134 FontDescriptor: FontName: BFAGSB+TimesNewRomanPS-BoldMT Flags: Serif, Nonsymbolic FontBBox: -558, -328, 2000, 1056 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: QUJSUX+Calibri-Bold FontSubset: true FirstChar: 32 LastChar: 121 FontDescriptor: FontName: QUJSUX+Calibri-Bold Flags: Nonsymbolic FontBBox: -519, -349, 1263, 1039 FontFile2: true Encoding: WinAnsiEncoding ToUnicode: true CIDFontType2: Font: BaseFont: RVZDIV+Calibri CIDSystemInfo: Registry: Adobe Registry: Identity Supplement: 0 FontDescriptor: FontName: RVZDIV+Calibri Flags: Symbolic FontBBox: -503, -312, 1240, 1026 FontFile2: true XMP: 2021-06-06T08:38:21+02:00 2021-06-06T08:38:12+02:00 2021-06-06T08:38:21+02:00 Acrobat PDFMaker 17 pour Word uuid:8792acbf-c060-4b0c-85b2-0c7b411aabb8 uuid:3db439e1-fb0a-478e-9edf-12556a2354c4 6 application/pdf Below the Radar: Data, Narratives and the Politics of Irrigation in Sub-Saharan Africa Jean-Philippe Venot;Samuel Bowers;Dan Brockington;Hans Komakech;Casey Ryan;Gert Jan Veldwisch;Philip Woodhouse Adobe PDF Library 17.11.238 Irrigation, small-scale farming, remote sensing, water resource governance, data politics, narratives, sub-Saharan Africa, Tanzania D:20210606063733 WaA Emerging narratives call for recognising and engaging constructively with small-scale farmers who have a leading role in shaping the current irrigation dynamics in sub-Saharan Africa. This paper explores whether new irrigation data can usefully inform these narratives. It argues that, for a variety of reasons, official irrigation data in sub-Saharan Africa fails to capture the full extent and diverse nature of irrigation and its rapid distributed growth over the last two decades. The paper investigates recent trends in the use of remote sensing methods to generate irrigation data; it examines the associated expectation that these techniques enable a better understanding of current irrigation developments and small-scale farmers’ roles. It reports on a pilot study that uses radar-based imagery and analysis to provide what are indeed new insights into the extent of rice irrigated agriculture in three regions of Tanzania. We further stress that such mapping exercises remain grounded in a binary logic that separates 'irrigation' from other 'non-irrigated' landscape features. They can stem from, and buttress, a conventional understanding of irrigation that is still influenced by colonial legacies of engineering design and agricultural modernisation. As farmers’ initiatives question this dominant view of irrigation, and in a policy context that is dominated by narratives of water scarcity, this means that new data may improve the visibility of water use by small-scale irrigators but may also leave them more exposed to restrictions favouring more powerful water users. The paper thus calls for moving away from a narrow debate on irrigation data and monitoring, and towards a holistic discussion of the nature of irrigation development in sub-Saharan Africa. 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