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EMSC3025/6025: Remote Sensing of Water Resources

biologyreader.com: Components involved in runoff.
Note the word covers surface flow, water moving downslope within the soil, and groundwater. Most people only picture the first.

“Continuous” is a convenient fiction: a hydrograph is normally an average over an interval, or a sample every 15 minutes.

Identical climatic conditions, but different geology. Rocks of the Lambourn are all high permeability, while the Thames catchment is mostly low permeability + bedrock.
The exact proportion of precipitation that becomes channelized flow is difficult to determine.

Each is set by the same physical properties: size, slope, shape, hydraulic length, drainage density, soil, geology, land cover, and antecedent wetness.
Hydrographs are often plotted with a logarithmic
On a linear axis, one large event compresses every normal flow onto the
Some texts claim channel precipitation appears as a small blip before the rising limb. In practice this is almost never observed — storm runoff is too messy.

Continuous sheets of overland water flow are rarely observed in nature.
However, in most cases, infiltration rates exceed typical rainfall intensities.

Continuous sheets of overland water flow are rarely observed in nature.
| Soil and vegetation | Infiltration rate (mm/hr) | Rainfall type | Rainfall intensity (mm/hr) |
|---|---|---|---|
| Forested loam | 100–200 | Thunderstorm | 50–100 |
| Loam pasture | 10–70 | Heavy rain | 5–20 |
| Sand | 3–15 | Moderate rain | 0.5–5 |
| Bare clay | 0–4 | Light rain | 0.5 |
Selby (1970) measured 60–600 mm/hour on short grazed pasture in the central North Island of New Zealand. Almost nothing rains that hard.

| Horton | Betson | Hewlett and Hibbert | |
|---|---|---|---|
| Infiltration | Governs overland flow | Governs overland flow | All rainfall infiltrates initially |
| Overland flow mechanism | Infiltration-excess | Infiltration-excess | Saturated overland flow |
| Contributing area | Uniform across the catchment | Confined to specific zones | Varies in time and space |
Comparison of key theories explaining stormflow generation
A useful framing: Horton asked how fast can water get in?; Hewlett and Hibbert asked is there any room left?
Basher & Ross (2001), market gardens in the North Island of New Zealand: infiltration capacity of 400 mm/hour, rising to 900 mm/hour in the growing season — but as low as 0.5 mm/hour in the wheel tracks of the same site.
Some soils swell rapidly on contact with water and form a temporary impermeable barrier at the surface. Linked to mycorrhizal fungi and to swelling clays such as allophane (Doerr et al. 2007).
Hydrophobicity is temporary. Clothier et al. (2000): a yellow-brown earth/loam went from 2 mm/hour initially to 14 mm/hour once the repellency broke down.
So infiltration capacity is not a fixed soil constant. It varies with land management, with season, and even during a single storm.

Hewlett and Hibbert placed the saturated areas next to the channel. Later work (Dunne & Black 1970; Anderson & Burt 1978) found four other geometries that force water back to the surface:
In each case the soil volume receiving the throughflow is too small for the water arriving, so it returns to the surface. This is what the boggy patches at valley heads and slope bases actually are.
These are disjunct source areas: they are not beside the stream. They only add to stormflow if they are hydrologically connected to the valley bottom. Connectivity, not just saturation, controls the hydrograph.

Isotope and chemical tracer studies (Martinec et al. 1974; Fritz et al. 1976) show that a large fraction of the water in a storm hydrograph was already in the catchment before the storm started.
The rain that falls during a storm is largely not the water that arrives in the river during that storm.
And yet matrix throughflow is far too slow: 13 mm/hour will not move water down a hillslope inside a storm.
Three candidate mechanisms, all of which move pressure faster than they move water:
These are not alternatives to each other. At Maimai all three appear together.


Large, interconnected pores in soil, generally >3 mm in diameter. Formed by cracking, worm burrows and other biotic activity.
Current view: there is little evidence of macropore networks carrying large volumes continuously to the stream. Their clearest role is delivering water rapidly down to the saturated layer (Heppell et al. 1999), which can then drive piston flow (McGlynn et al. 2002).

Ridging has been observed in the field (McDonnell 1990), but it is hard work: instrument response times are often too slow to catch the pore-pressure change.
Established 1974 near Reefton, South Island, to study logging of native beech forest. Short steep slopes (~300 m at ~35°), thick vegetation, incised channels, tiny valley bottoms.
Rainfall ~2,600 mm/yr over ~156 rain days. Stormflow is 65 per cent of total streamflow.
A sequence of results, each overturning the last:
Maimai has shaped hydrological thinking worldwide. But the conditions are extreme:
These conditions are not common, and the concepts do not generalise easily.
The most transferable lesson from Maimai is not a mechanism at all. It is that even under conditions ideal for stormflow generation, the mechanisms remain complex and spatially variable. That is true everywhere.


The question is never which mechanism operates. It is which one dominates here, now, and how much of the catchment it covers.
Runoff generation mechanisms control the hydrograph. Infiltration capacity, saturation, macropores and piston flow all matter, and they are measurable.
This is the scale of nearly every process study in this lecture, Maimai included.
The timing of the peak and the shape of the hydrograph are set mostly by the channel drainage network and by the spatial and temporal pattern of the storm.
The hillslope mechanisms are still operating, but they are averaged over so much heterogeneity that they stop being the controlling factor.
This is why a result measured on a 1 km² research catchment cannot simply be scaled up to the Murray—Darling. Keep the scale of a claim attached to the claim.
In sharp contrast to the stormflow debate, there is general consensus here: the major source of baseflow is groundwater, with a smaller contribution from throughflow.
Baseflow is the slow, groundwater-fed component between storm peaks.
Low flow is a statistic of the flow record — how small the discharge gets in a dry period.
They are related but they are not the same quantity, and they are analysed with different tools.
Once water reaches the stream, the rate of flow depends on three things:
This is described by uniform flow formulae — Chézy and, more commonly, Manning:
with
Remember this equation. We will meet it again when a satellite tries to estimate discharge without ever touching the river.
In arid regions many channels flow only during floods. The resistance problem there is complicated by infiltration through the bed.
The first flush of water fills the available pore space in the bed, so it:
These transmission losses are why an arid-zone flood peak can shrink dramatically as it travels downstream.
A runoff plot is a bounded area of hillslope. Metal plates are driven into the soil along the upslope and side boundaries and left protruding, so every drop of overland flow generated inside the plot is captured.
The collected flow is routed to a tipping bucket or a temporary flume and recorded as volume per unit time.
To measure throughflow you must dig a trench perpendicular to the flow direction and insert troughs at the depths of interest, then backfill.
The act of measuring changes what you measure. Digging disturbs the profile, and the loosely reconstituted soil in front of the troughs is a preferential path, so throughflow is often overestimated.
Alternative: subsurface tracing with a conservative tracer that does not bind to soil — sodium chloride, bromide, or fluorescent dyes such as Rhodamine WT.
This is the honest reason our understanding of runoff mechanisms is still incomplete. The measurements are hard, disturbing, and site-specific.
The velocity–area method of streamflow measurement. The black circles indicate the position of current meter velocity readings. Dashed lines represent the triangular or trapezoidal cross-sectional area through which the velocity is measured.
The velocity–area method requires the assumption that the velocity measured is representative of the entire cross-sectional flow.
Since multiple measurements across the depth are rarely feasible, adjustments are needed to account for velocity variations.
Water flows faster near the surface than near the bed due to bed friction.
A general guideline: measure velocity at 60% of depth from the surface (or 40% above the bed).
For deeper rivers, average readings at 20% and 80% of depth for better accuracy.
If no velocity meter is available, a float method can provide rough estimates by timing surface travel over a measured distance.
Surface floats overestimate true velocity since they ride faster-flowing surface water.

Stage = water level or height at a specific point in a river.
Discharge = volumetric flow rate (e.g.
Repeated discharge measurements (via velocity–area method) enable creation of a rating curve.
A rating curve relates stage to discharge and allows continuous discharge estimation from simple stage measurements.
Developed by pairing stage readings (e.g. using a stilling well) with discharge data.
Rating curves are typically non-linear, reflecting the geometry of riverbanks:
As rivers fill between banks, more water is required to raise stage than at low flows.
Assumes a stable riverbed. Changes (e.g. due to flood scouring or deposition) will invalidate the curve.
This is why flumes or weirs are often installed to stabilize the control section.
Limitations:
Remember: discharge is inferred from measured stage — not directly observed. 


A trapezoidal flume helps flush sediment


Everything on the last few slides needs a person to stand in, or beside, a river.
A satellite cannot measure discharge.
Discharge is a volume flux through a cross-section. Nothing in a reflected radar pulse carries velocity or bed geometry.
What a satellite can see is:
Which is exactly the position a hydrologist is in at a stilling well. We measure stage and infer discharge. Space-based hydrology plays the same trick from 890 km up.
A radar altimeter sends a pulse straight down and times the return. Range plus precise orbit determination gives the height of the surface above a reference ellipsoid.
A single height, at a place we did not choose, every 10 to 27 days. Useful for the Amazon. Not useful for most rivers.
Surface Water and Ocean Topography — NASA and CNES, with CSA and UKSA. Launched 16 December 2022.
The instrument is KaRIn, a Ka-band radar interferometer: two antennas on a 10 m boom. The phase difference between the two returns gives the height of every pixel, so it maps elevation over an area rather than along a line.
For the first time we obtain, for the same reach and the same overpass:
Slope is the quantity nadir altimetry could never give, and it is the one that Manning’s equation demands.
Products are reported on ~10 km reaches defined in the SWORD river database.
Recall the uniform flow law from the channel flow slide:
SWOT supplies
It does not supply:
Both must be estimated from many repeat passes, from prior information, or from a model.
On the rating curve slide we said: discharge is inferred from measured stage, not directly observed.
Nothing about being in orbit changes that. A SWOT discharge value is the output of an inversion with two unknowns, constrained by observations of the water surface.
So ask of any satellite discharge product exactly what you would ask of a rating curve: how many observations constrain it, over what range of flows, and how far is this estimate extrapolated beyond them?
The right way to think about SWOT is not as a replacement for gauges. It is a global, uniform, sparse-in-time observation that is most valuable exactly where the ground network is thinnest.
A working definition: inundation of land adjacent to a river, caused by a period of abnormally large discharge.
Every word of that is negotiable.
As with rainfall, the frequency–magnitude relationship governs: small floods are common, the large ones are rare and do nearly all the damage.
China, 1998 — ~US$20 billion damage, 15 million people displaced, 3,000 lives lost.
Mississippi and Missouri, 1993 — US$15–20 billion, 48 lives lost. Hydrologically the far larger event: the highest in the record, with an average recurrence interval of 100–500 years.
Similar cost. A factor of sixty in lives. The difference is not hydrology, it is warning, infrastructure and wealth.
The largest influence on flood size after the rainfall itself.
Infiltration, and therefore storm runoff, depends on how saturated the soil already is. Almost every major flood is preceded by a wet period.
Forest reduces flood severity through three mechanisms we have already met: interception, high organic matter in the upper soil, and higher infiltration rates.
Fahey & Jackson (1997): converting tussock grassland to pine plantation reduced mean flood peaks by 55–65 per cent — in a small New Zealand research catchment.
Impervious surfaces generate infiltration-excess overland flow, and the drainage system is deliberately engineered to remove it fast, straight into the river network.
Cherkauer (1975) found a large increase in flood magnitude for an urban catchment in Wisconsin compared with a similar rural one.
Each of these effects is measured convincingly at the small catchment scale (< 10 km²).
At the whole-basin scale the urban fraction is small, the forest change is patchy, and the signal becomes very hard to detect. The same problem of scale, again.
A natural channel is broadly in equilibrium with the flows it carries. Rigid engineering breaks that adjustment.
Channelisation is usually built to reduce flood risk locally — and usually succeeds. But it passes water downstream faster than before, increasing the risk downstream. If there is a floodplain down there, no harm. If there are people, harm.
Draining “swamp” land for agriculture makes the land drier, so small events produce less runoff.
But rapid removal through drains and ditches means that when a large event comes, the water reaches the channel network far faster than it naturally would. Drier land, sharper peaks.
Every flood now prompts an immediate question about climate. It is a hard question, because climate is naturally very variable and single events are weak evidence.
What can be said:
Attribution of a single flood to climate change is a statistical exercise on the rainfall, not a hydrological statement about the flood. Keep the two separate.
18 December 1999
27 February 2000
Most gauges failed, so the return period was never established. The satellite images are the record.
Images courtesy of G. Robert Brakenridge, NASA-supported Dartmouth Flood Observatory.

Catchment-average rainfall, 10–12 January 2011: 286 mm.
Catchment-average rainfall, 25–27 January 1974: 349 mm.
Less rain in 2011 — yet nearly double the flood volume of 1974, and the highest inflows on record above Wivenhoe Dam.
The difference is the saturated December soil. This is the antecedent soil moisture control, at basin scale, in a single comparison.
Wivenhoe (1958) and Somerset (1985) exist primarily for water supply; Wivenhoe also provides flood mitigation.
By 7 January both were above full storage and were releasing. By 11 January they had recovered enough storage to pass only 60 per cent of inflows, holding back 40 per cent.
Estimated effect: the Brisbane peak was reduced by about 2 m, and ~14,000 properties were spared.
The Queensland Commission of Inquiry concluded the dam operations achieved the best possible flood mitigation effect.
The dam operator’s real problem: hold back as much water as possible, while keeping enough empty storage for rain that has not fallen yet. The decision depends entirely on a rainfall forecast — the least predictable quantity in the whole system.
Despite the Inquiry’s finding, the public narrative fixed on Wivenhoe. Four reasons, and none of them hydrological:
Deceptively simple, and worth pinning to a wall. Note that two of the three are not about hydrology at all.
Infrastructure lowers the frequency of flooding. It does not remove the hazard, and it reliably raises the exposure behind it.
Water absorbs strongly in the near-infrared and shortwave infrared, so it is dark in those bands while vegetation and soil are bright.
Band ratios such as NDWI and MNDWI exploit exactly that contrast to separate water from land.
Calm open water is a specular reflector: it bounces the radar pulse away from the sensor, so it returns almost nothing and appears very dark.
Radar supplies its own illumination and penetrates cloud, so it works at night and through the storm.
Neither sensor sees depth. Extent plus a digital elevation model gives an estimate of depth and volume — with all the error of the DEM folded in.
The source of the Mozambique images in the textbook. A global, near-real-time flood catalogue built from satellite imagery, running since 1985.
It exists because for most of the world’s floods, satellite imagery is the only consistent record — the gauges are missing, or drowned.
Every Landsat observation over Australia since 1987, classified pixel by pixel as water or not-water at 25 m resolution.
You can then ask a question no gauge can answer: how often has this pixel been wet?
Notice the pattern across this whole lecture. Ground methods measure the right quantity at one point. Satellite methods measure a proxy everywhere. Hydrology is the work of joining the two.
The route water takes from raindrop to river largely determines its chemistry, because chemistry is set by contact time with the soil.
So “clear water” and “clean water” are not the same claim.
When groundwater responds to rainfall, it frequently responds as a pressure wave. The water that enters the stream is not the water that just infiltrated.
That water may be years or decades old, and therefore unaffected by any recent land-use change.
This is why a catchment can be replanted, or a fertiliser regime changed, and the stream chemistry not respond for years. The lag is real, and it is a genuine problem for water policy.