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Monitoring Agriculture Areas using Remote sensing techniques

CGIAR-CSI
September 26, 2014
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Monitoring Agriculture Areas using Remote sensing techniques

CGIAR-CSI

September 26, 2014
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  1. Monitoring Agriculture Areas using Remote sensing techniques Murali Krishna Gumma

    RS-GIS Unit Resilient Dryland Systems ! CGIAR-CSI Annual meeting 2014 ITC, September23rd , 2014
  2. Outline: 1. Geo spatial activities at ICRISAT? ! 2. Ground

    data collection ! 3. Methods ! 4. Results
  3. Remote Sensing and GIS activities at ICRISAT • Land use

    / land cover (crop type) • LULC change dynamics (crop wise) • Tracking of WHS & cropland expansion !
  4. Data sets 1. MODIS 250m 16-day (MOD13Q1 product) ! 2.

    Landsat 8 (1-7 bands) and Landsat ETM+ ! 3. IRS-RS2, FMX and RiSAT1 ! 4. Ground data collection (2013-15)
  5. Land use land cover changes Oct 1988 Oct 2012 Oct

    2001 LULC Class# Areas (ha) Oct-88 Oct-01 Oct-12 01. Irrigated-groundnut/rice 541 1012 1719 02. Rainfed-groundnut/pulses 2487 2147 4117 03. Rangelands/fallow 2771 3127 868 04. Rangelands/shrub lands 2763 2009 1731 05. Shrublands/wastelands/ 892 1107 1023 06. Water bodies 172 164 30 07. Builtup lands 26 87 102 9652 9654 9589 Legend Watershed Class_Names 01. Irrigated-groundnut/rice 02. Rainfed-groundnut/pulses 03. Rangelands/fallow 04. Rangelands/shrublands 05. Shrublands/wastelands/trees 06. Water bodies 07. Builtup lands
  6. Crop type mapping level3_LULC_13classes_aoi.img 01. Irrigated-GW-DC-rice-rice-SS 02. Irrigated-GW-DC-vegetables-vegetab 03. Rainfed-SC-gn-gn/fallow-MS

    04. Rainfed-SC-groundnut/pigeon pea-LS 05. Rainfed-SC-redgarm/millet/groundnu 06. Rainfed-SC-groundnut/fallow-LS 07. Rainfed-Fallow_rangelsnds 08. Rangelands/fallows 09. Scrublands-hills 10. Scrublands-wastelands (rocks) 11. Shrublands-high veg., 12. Water bodies 13. Settlements/roads Watersheds
  7. Tracking and adoption of RHS Change analysis using historical LULC

    Ground data collection Yes No Satellite imagery (1990,2000,2005,2006, 2008 and 2012 National statistics (crop statistics, groundwater data) Mapping land use /land cover areas Land use maps, changes, adoption and tracking of RHS Accuracy Assessment Assessing impacts and identifying rain- water harvesting structures (RHS) RHS data collection If LULC is GW- Irrigation RHS available RHS not available
  8. Tracking and adoption of RHS ! • Used IRS-LISS IV,

    Landsat imagery and MODIS to prepare Land use/ Landover (LULC) maps and changes in LULC during selected years. ! • Data on source of irrigation before and after adoption of RHS identifies the relationship between RHS adoption and availability of groundwater for irrigation.
  9. Crop dominance classification Land use / land cover Groundnut /

    sorghum / fallows Maize / mixed crops Cotton-chilli Orchards / mixed crops Rice-mixed crops Other LULC Chickpea Year 2000-01 Year 2012-13
  10. Expansion of Chickpea Districts Area (ha) MODIS-200 0 MODIS-200 5

    Modis-201 2 Anantapu r 34777 51304 84493 Cuddapah 30343 69258 117903 Kurnool 68113 140511 196793 Prakasam 35129 128288 159524 168362 389361 558713 NDVI 0 0.22 0.44 0.66 0.88 1.1 Date Jun-17 Aug-17 Nov-17 Feb-18 May-18 Rainfed-chickpea
  11. Next steps 1. Continue ongoing activities ! 2. Utilization of

    geospatial outputs across institute ! 3. Conducting capacity building courses at institute wide ! 4. Collaborations with other CG centres and other research organizations
  12. Collaborative work with USGS A disaggregated five class global cropland

    extent map derived at nominal 1-km based on four major studies: Thenkabail et al. (2009a, 2011), Pittman et al. (2010), Yu et al. (2013), and Friedl et al. (2010). Class 1 to Class 5 are cropland classes, that are dominated by irrigated and rainfed agriculture. However, class 4 and Class 5 have ONLY minor or very minor fractions of croplands. Refer to Table 6.7c for cropland statistics of this map. Note: Irrigation major: areas irrigated by large reservoirs created by large and medium dams, barrages and even large ground water pumping. Irrigation minor: areas irrigated by small reservoirs, irrigation tanks, open wells, and other minor irrigation. However, it is very hard to draw a strict boundary between major and minor irrigation and in places there can be significant mixing. So, when major irrigated areas such as the Ganges basin, California’s central valley, Nile basin etc. are clearly distinguishable as major irrigation, in other areas major and minor irrigation may inter-mix. (Teluguntla et al., 2014) (Teluguntla et al., 201 http://geography.wr.usgs.gov/science/croplands/ index.html
  13. Thank you! ICRISAT is a member of the CGIAR Consortium

    ICRISAT is a member of the CGIAR Consortium