u.s. department of the interior u.s. geological survey variability and trends in irrigated and...
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U.S. Department of the InteriorU.S. Geological Survey
Variability and trends in irrigated and non-irrigated croplands in the Central U.S.Jesslyn Brown, USGS EROS
Acknowledgments
Shahriar Pervez (Inu tec) Susan Maxwell (Biomedware) Brian Wardlow (NDMC—UNL) Karin Callahan (NDMC—UNL) Ron Zelt (USGS Nebraska Science Center)
Irrigation ground reference data providers: California Department of Water Resources Idaho Water Resources Board University of North Dakota
Irrigated Agriculture in U.S.
Over 23 m hectares (233 K km2) of U.S. croplands are irrigated
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Water used in irrigation Total withdrawl% used in irrigation
a) b)
Irrigation is an agricultural practice
Agricultural intensification Drivers for expansion in the U.S. (early to mid
20th century) Climate uncertainty Rising demand for farm products—rising (urban) population,
rising sophistication in diet Increasing crop yields (esp. in moisture limited environments like
the American West) Raising farm revenues Federal policies to develop water supplies Development of new technologies for groundwater mining and
irrigation equipment
Gollehon, N., Quinby, W., 2000. Irrigation in the American West: Area, water and economic activity. International Journal of Water Resources Development 16, 187-195.
Requirement for Geospatial Data on Irrigation Status (Land Use Data)
Irrigation status is a required data layer in drought monitoring In drought monitoring, we need to separate locations that receive
supplemental moisture from those that don’t
Repeatable and reliable process Coast to coast coverage (48-state) Moderate resolution (able to resolve median
irrigated field size in U.S.) Direct and spatially-detailed modeling
strategy
Additional Applications for Irrigation Land Use Data
Assess and evaluate water-quality trends in ground and surface-waters
Model evapotranspiration/energy and water exchange
Estimate water supply/use
Source: USDA 2002 Census
2002 MIrAD-US
MODIS Irrigated Agriculture Dataset for the United States (MIrAD-US): Data and Methodology Model Inputs
Irrigated area statistics from USDA NASS 2002 Census of Agriculture
2002 annual peak MODIS NDVI (250 m)
2001 NLCD
Model Approach – Runs on a County Domain
MODIS annualpeak NDVI
Area of 1st peak> USDA irr. acg.
Masking :Peak NDVI for
agricultural land only
NLCD
Area of 2nd peak> USDA irr. acg.
Area of nth peak> USDA irr. acg.
Area of last peak> USDA irr. acg.
yes no
no
no
no
yes
yes
yes
Peak NDVI cells above or equal to threshold peak NDVI are identified as irrigated
All the peak NDVI cells are considered irrigated
The cumulative area for peak NDVI is compared with irrigated
area reported by USDAby county
Loop for defining peak NDVI threshold for irrigated crops
Peak NDVI rankDesc. order
Pervez & Brown (2010) Remote Sensing 2(10) 2388-2412.
MIrAD Model Assumptions
Irrigated crops commonly exhibit higher annual peak NDVI values than non-irrigated crops in the same local area.
The growing season peak NDVI, at any time it occurs, will vary for each crop and for each geographic region of the U.S.
The difference in peak NDVI between irrigated and non-irrigated crops will be enhanced under non-optimal precipitation conditions (e.g., drought).
MODIS 250-meter NDVI time series
Annual Peak NDVI
2002 Drought
Beans & Corn
Blue line : IrrigatedRed line : non-irrigated
Peak NDVI for Separating Irrigated and Non-irrigated Crops
Irrigated and non-irrigated corn in both years
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a) 2002 2006
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Irrigated cropNon-irrigated croppeak-irrnon-irr-peak
2002: Irrigated and non-irrigated dry beans2006: Irrigated dry beans and non irrigated corn
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2002: Irrigated and non-irrigated pasture2006: Irrigated corn, non-irrigated millet
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NDVI
Irrigated crop Non-irrigated cropIrrigated crop peak NDVI non-irrigated crop peak NDVI
2002: Average NDVI for irrigated and non-irrigated corn, dry beans and pasture
2006: Average NDVI for irrigated corn and dry beans, and non-irrigated corn and millet
CornCorn
Dry Beans
Pasture
Crop Avg.
Corn
& Mille
t
MIrAD-US Accuracy Error Matrix
Site Category2002 2007
Producers’ Overall Kappa Producers’ Overall Kappa
CaliforniaIrrigated 0.75
0.92 0.750.71
0.92 0.74Non-Irri. 0.97 0.97
Great Plains
Irrigated 0.760.80 0.58
0.900.88 0.68
Non-Irri. 0.80 0.80
Eastern Snake Plain
Aquifer-Idaho
Irrigated 0.75
0.94 0.77Non-Irri. 0.98
Regional accuracies were over 88% Accuracy at national scale is unknown
U.S. Land Use Change: Irrigation Status
In 2002, 22.4 million ha (55.3 million acres) were irrigated
In 2007, 22.9 million ha (56.6 million acres) were irrigated
Net increase of 2.3% nationally Nationally, the proportion of harvested
croplands that are irrigated has increased slightly during the last 15 years, according to the USDA Agricultural Census.
Irrigation Change (2002 to 2007)
Top ten States Irrigated area in million Ha.
Irrigation Consistency Top ten States
State % changed (spatially)
% net change
Nebraska 3.68 CA 22.4 -7.7California 3.23 ID 23.3 0.1Texas 2.02 UT 25.6 4.7Arkansas 1.88 NV 26.7 0.5Idaho 1.34 AZ 27.2 -6.1Kansas 1.17 NE 27.4 16.3Colorado 1.13 WY 28.6 0.4Montana 0.81 CO 35.1 8.4Oregon 0.73 WA 35.2 -5.2Washington 0.71 AR 36.2 6.0
Spatial Change in Irrigated Lands between 2002 and 2007
High Plains Aquifer
The HPA underlies ~450 thousand km2 (8 states: SD, WY, NE, CO, KS, OK, NM, TX)
Most intensively used aquifer in the U.S. Ground water use primarily for irrigated
agriculture More than 60% of the aquifer lies under one
state, Nebraska
Irrigation Change across the High Plains Aquifer
State
Irrigated area in haCommon area
between 2007 and 2002
New in 2007 Lost from 2002Net
Change in %
2007 2002 in ha % in ha % in ha %
NE 3,422,013 2,942,856 2,220,438 75.5 1,201,575 40.8 722,419 24.5 16.3
TX 1,469,288 1,451,419 871,469 60.0 597,819 41.2 579,950 40.0 1.2
KS 1,022,581 969,206 454,894 46.9 567,688 58.6 514,313 53.1 5.5
CO 270,656 270,413 138,400 51.2 132,256 48.9 132,013 48.8 0.1
WY 111,144 116,644 70,500 60.4 40,644 34.8 46,144 39.6 -4.7
OK 105,406 103,850 51,113 49.2 54,294 52.3 52,738 50.8 1.5
NM 96,525 125,531 66,206 52.7 30,319 24.2 59,325 47.3 -23.1
SD 7,400 5,469 1,794 32.8 5,606 102.5 3,675 67.2 35.3
Total 6,505,012 5,985,387 3,874,812 64.7 2,630,200 43.9 2,110,575 35.3 8.7
Irrigation Change
Factors Causing Recent Irrigation Change in the HPA Economic incentives
Rising commodity prices Rising land values
Government policies (e.g. water reg.) Demand for corn (biofuels, livestock feed,
food) Climate
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Soybeans
Sorghum
USDA NASS
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Hec
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sCorn (Grain) Annual Area Harvested in the High Plains Aquifer
Irrigated Non-irrigated Irrigated (2002-2007)
Linear (Irrigated) Linear (Non-irrigated) Linear (Irrigated (2002-2007))
a.
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145144
127 129 143 140 138 73
86110
10093
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Corn (Grain) Annual Yields in the High Plains Aquifer
Irrigated Non-irrigated DifferenceLinear (Irrigated) Linear (Non-irrigated) Linear (Difference)
b.
Irrigation and 2012 Corn Yields
Recent article from U.S. Department of State“The 2012 drought — the worst in more than 50 years
for several U.S. states — reduced yields in many states, but less so in Nebraska. It is expected to end its 2012 summer growing season with its eighth-largest grain yield in history while drawing down its aquifer just 1 percent, Lenton said. More than 65 percent of the High Plains Aquifer, the largest in North America, lies beneath the state.”
Read more: http://iipdigital.usembassy.gov/st/english/article/2012/09/20120925136551.html#ixzz296ElvEHK
Average Reported Value of Nebraska Farmland
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US$ p
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Dryland Cropland (noirrigation potential)
Dryland Cropland(irrigation potential)
Gravity Irrigated Cropland
Center Pivot IrrigatedCropland
From 2002 to 2007, NE land values rose 48% on average, 51% for CP Irrigated Cropland.
Demand for Corn Due to Ethanol
Nebraska Water Policy
Published by the Nebraska Department of Natural Resources
Consequences of Irrigation Expansion
Increased crop productivity Changing boundary layer energy and water
exchange Changes in ET
Groundwater storage Regional climate Water quality
Consequences of Irrigation Expansion
Increased crop productivity Changing boundary layer energy and water
exchange Changes in ET
Groundwater storage Regional climate Water quality
Fischer, B.C. et al. Digital map of the saturated thickness of the High Plains aquifer in parts of Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas and Wyoming, 1996-97.
HPA Water Budget Components
Stanton, J.S., Qi, S.L., Ryter, D.W., and others, 2011, Selected approaches to estimate water-budget components of the High Plains, 1940 through 1949 and 2000 through 2009: U.S. Geological Survey Scientific Investigations Report 2011–5183, 79 p.
(Values enclosed in parantheses are given in million acre-feet per year.)
Water level changes in the HPA
Predevelopment to 2009
Average water level change -14.0 ft
McGuire, V.L., 2011, Water-level changes in the High Plains aquifer, predevelopment to 2009, 2007–08, and 2008–09, and change in water in storage, predevelopment to 2009: U.S. Geological Survey Scientific Investigations Report2011–5089, 13 p.
Water level changes in the HPA
New irrigation in 2007
McGuire, V.L., 2011, Water-level changes in the High Plains aquifer, predevelopment to 2009, 2007–08, and 2008–09, and change in water in storage, predevelopment to 2009: U.S. Geological Survey Scientific Investigations Report2011–5089, 13 p.
Summary
Regional variability in spatial change irrigated agriculture from 2002-2007 Nationally +2.3% HPA +8.7% NE +16.3%
Various causes and consequences Future monitoring will be important especially
as irrigation effects sustainable water use (ground and surface water) given future food/fuel requirements
Plans/Opportunities
Run MIrAD model for 2012 2012 Agricultural Census statistics 2012 peak MODIS NDVI 2011 NLCD
Crop-specific irrigated agriculture maps (utilizing crop data from USDA CDL)
Prototype methods at the Landsat scale
References
Brown, J.F. and Pervez, M.S., 2014, Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture, Agricultural Systems, 127, 28-40; doi: 10.1016/j.agsy.2014.01.004.
Pervez, M.S. and Brown, J.F., 2010, Mapping irrigated lands at 250-m scale by merging MODIS data and national agricultural statistics, Remote Sensing, 2(10), 2388-2412; doi:10.3390/rs2102388.
Brown, J.F., Pervez, M.S., and Maxwell, S., 2009. Mapping irrigated lands across the United States using MODIS satellite imagery. In Remote Sensing of Global Croplands for Food Security, Eds., Thenkabail, P.S., Lyon, J.G., Biradar, C.M., and Turral, H., London, Taylor and Francis, Boca Raton, p. 177-198.
2002 and 2007 MIrAD-US can be downloaded fromhttp://earlywarning.usgs.gov/usewem/