Water & Life Intelligence · Indus Basin

Capital is limited. Problems are not.

LandIQ shows where to invest — so each rupee lifts production, earns exports, cuts imports, and protects the water Pakistan can't afford to lose.

We read water, farms, forests, and people on the same map — and rank the few places where one well-placed action moves all four at once.

Talk to us See the science ↓

8

Intelligence layers, one convergence map

4

Audiences · governments · multilaterals · developers · NGOs

1

Pattern — repeats across climate-vulnerable geographies

Indus Basin · Layer View

LIVE

Convergence Where all five layers point to the same coordinates. That is where one action compounds into five outcomes. That is the site.

What Becomes Possible

Climate risk platforms see damage. LandIQ sees the restoration opportunity inside it.

The intel layer for governments, multilaterals, and the capital that funds water, restoration, and carbon projects. When pressures converge in the same district, interventions stop being scattered — they start compounding.

01See the mechanism

02Site the intervention

03Compound the outcome

Every project lands at the right site

No more guesswork. No more picking sites by availability or politics. When you can see where multiple pressures and opportunities overlap, every dollar, every tree, every tonne of biochar goes exactly where it does the most.

One intervention. Five outcomes.

A district with high fertilizer costs, available crop residue, and declining water tables is not three problems. It is one site where biochar cuts input costs, builds soil, and restores water. The overlap is the leverage.

Recovery travels.

The same tight coupling that lets degradation cascade through a landscape can be reversed. Restore the right site and the effects travel: downstream water quality improves, adjacent farms see moisture return, the atmospheric signal shifts.

Pakistan

Why Pakistan, first.

Pakistan is not short on data, money, or people who care. It is short on a view that shows where all of these meet. The crises are real. So is the opportunity hidden inside them.

90%

Water consumed by agriculture

Pakistan uses more water per hectare than almost any country in its income bracket. Efficiency gains in agriculture are water gains for everyone.

$2.5B

Annual fertilizer import bill

Farmers in high-input districts spend PKR 12,000-18,000/acre on synthetic fertilizer. Every rupee exposed to exchange rate risk and commodity swings.

14M

Tonnes of crop residue burned yearly

Rice straw in Sindh and Punjab. Sugarcane tops in lower Punjab. Feedstock for biochar, compost, and energy, set on fire every harvest.

33M

People displaced by the Indus floods

The same Indus floodplain that grows Pakistan's food absorbed a catastrophic flood. Recovery siting needs spatial intelligence, not guesswork.

The Mechanism

One valve. Five ridges. A cascade waiting to restart.

Between the Arabian Sea and K2, Pakistan's terrain intersects five successive condensation stages. A single atmospheric variable, the lifting condensation level, decides how many are active. Across 45 years of ERA5 reanalysis, the answer is two. The other three are not blocked by geography. They are compressed by a missing land surface. That compression can be released.

Current state vs Scenario-2 restored state — side-by-side LCL bypass comparison across Pakistan — The outcome · current state vs restored cascade Left: current state. Right: Scenario 2 — an −8°C dewpoint-depression recovery applied to the same 45-year ERA5 record. The Salt Range bypass falls from 94.7% to 56.9%; the lower orographic stages rejoin the cascade. The mechanism is not a prediction. It is a lever with a measured output.

Salt Range Bypass

94.7%

Of pre-monsoon days, moisture passes above the 1,520 m ridge crest instead of condensing on it.

Indus Plains LCL · June

2,727 m

Daily-maximum lifting condensation level: 1,207 m above the Salt Range. The first three stages are aerodynamically transparent.

Restoration Lever

−55 pts

ET-driven dewpoint recovery (15.5 °C → 4.5 °C depression) lowers peak LCL to 1,358 m, cutting Salt Range bypass from 94.7% to 38.9%.

The gap between Pakistan's current water capture and its terrain-defined ceiling is the largest unrealized natural capital endowment in South Asia. Closing it is a water-security, food-security, and climate-resilience problem solved by the same intervention.

ERA5 1980–2024 · Indus Plains domain 29–32°N, 69–73°E · LCL approximation cross-validated against Romps (2017), mean bias 3 m.
Full methodology: Biome-specific radiative forcing coefficients (Shahid 2026, Zenodo DOI) · Paper 1 pollen–light-rain (complete) · Paper C orographic ladder (working paper).

The Layers

Eight questions. One answer.

Each layer is a spatial question with a spatial answer. Select one to read what that answer looks like, per district, per season.

Intelligence Layers

Geophysical

Water

Biosphere

Farming

Feedstock

Livestock

People

Convergence

LAYER 06 · CONVERGENCE

The hinge, not the whole basin.

Where do all seven answers point to the same coordinates?

One action. Five outcomes. It is a spatial operation, not a metaphor. The district where water stress, farming cost, feedstock waste, livestock pressure, and community readiness overlap is the site where a single intervention compounds into systemic recovery.

Zones mapped

Indus

Basin focus

How we work

Every engagement follows the same six-step pipeline.

The deliverable is an optimization — trigger points ranked by leverage per dollar, each with its intervention, its cost, and the positive trajectory it unlocks. The worked Matiari example below shows what this pipeline produces end-to-end.

The pipeline · from question to decision

01 Frame the question. A client arrives with a specific decision — where to site a carbon project, which foothill belt to re-forest first, which canal reach to rehabilitate before the next monsoon. The question decides which of the eight layers carry the most weight.

02 Assemble the stack. The engine pulls the relevant layers at the resolution the question needs — 30 m terrain, 500 m NDVI, 10 km ERA5, district-level census. Common spine: ERA5, GRACE-FO, SMAP, Hansen, Sentinel-1/2, VIIRS, GLW4, WorldPop.

03 Score for cascade potential. Every grid cell gets a score per layer, and a coupling score — how many other layers move when this one is touched. Cells where several layers agree and the coupling is tight rise to the top. These are the trigger points — where a small input propagates furthest.

04 Rank by leverage per dollar. Candidates are ordered not by how much is wrong, but by how far one action travels. Each site carries a projected cascade — water retained, carbon sequestered, yield recovered, flood peak clipped — against its estimated intervention cost.

05 Ground-truth. The top five to ten candidates are narrowed by field visit, drone, and LiDAR where needed. Satellite lies at fine resolution; field closes the gap before any dollar is committed.

06 · DELIVERABLE The leverage map. A ranked list of trigger points with three numbers on each: the intervention, its cost, and the cascade it unlocks — the positive trajectory the coupling will carry once flipped. Not a map of problems. A map of where one dollar carries furthest.

The Stack

Three channels. One synthesis.

Satellite runs always. Field closes the gap satellite can’t resolve. Bespoke answers the question the standing stack wasn’t built for. All three feed the same leverage map.

01 · SATELLITE

Eight layers, always on.

Continuous, audit-grade remote sensing across the full intelligence stack — country or basin scope, repeatable cadence, physics that survives review.

InputsERA5 · MODIS · Sentinel-1/2 · Landsat · GRACE-FO · SMAP · Hansen · IMERG · VIIRS
CadenceDaily to seasonal composites; alerts when coupling tightens
OutputStanding dashboards, monthly convergence runs, GeoTIFF / vector briefs
Use whenYou need scale, repeat cadence, and defensible baseline

e.g. monthly LCL-bypass index for the Indus basin, with anomaly alerts during pre-monsoon windows.

02 · FIELD

The resolution satellite can’t reach.

Drone, LiDAR, soil, and acoustic baselines at the sites satellite flags but can’t verify. Closes the gap between 10 m pixels and a foot on the ground.

InputsSub-meter photogrammetry · LiDAR canopy scan · soil sampling · acoustic biodiversity · interviews
CadenceProject-driven — pre- and post-intervention
Output5 cm orthomosaics, biomass & infiltration estimates, calibration datasets
Use whenA trigger point is shortlisted and capital is about to commit

e.g. LiDAR canopy scan of a foothill belt with biomass and infiltration estimates before a reforestation tender.

03 · BESPOKE

Your question, modelled.

Custom analysis, modelling, and dataset generation when the standing stack doesn’t answer what you’re defending. Transferable, reproducible, yours.

InputsHydrological routing · LCA · biochar kinetics · atmospheric moisture recycling · trigger-point optimisation
CadenceEngagement-based — weeks to months
OutputMemo + model + dataset — reproducible and transferable
Use whenThe question is specific, stakes are high, and physics has to hold up

e.g. modelled cascade of 5% forest-cover restoration on a windward slope across three monsoon seasons, with sensitivity bands.

GovernmentsBasin-scale decision support · physics that survives audit.

MultilateralsOperator partner on country water and climate compacts.

DevelopersPre-MRV site intelligence for carbon and water projects.

NGOsConvergence maps and mechanism grounding on demand.

A case in point

Matiari.
The first trigger point we would recommend.

A ~1,459 km² district in lower Sindh where six of the eight LandIQ layers converge. It sits on the Indus, anchors Pakistan's second-largest Nili-Ravi buffalo belt, grows cotton and sugarcane on the same soils, and burns ~140,000 tonnes of crop residue every October. A single well-placed intervention here cascades through water, livestock, farming, feedstock, and people at once.

1,459 km²Area ~850,000Population ~6.2/haBuffalo density 28 mm/dayJJA peak rainfall 72% of JJASalt Range bypass freq.

Layer convergence at Matiari · pixel score

WaterSalinity ingress, degraded canal command, shallow aquifer stress0.84

FarmingCotton + sugarcane + wheat rotation on same parcels0.79

LivestockMatiari leads Sindh buffalo density · ~5.3M L milk/day0.91

FeedstockOctober rice-cotton burn season + dairy waste concentrated0.76

PeopleHigh rural density, dense smallholder cooperatives already exist0.68

BiosphereDegraded Indus riparian corridor · restoration headroom0.81

CouplingHow many layers move when you touch this tile6 of 8

Proposed intervention

Integrated biochar + silvopasture + canal-corridor repair, sequenced across 7 pour-points.

One physical footprint does five jobs at once: diverts crop residue from burn to biochar, redirects dairy effluent from canal to compost, re-wets the root zone via canal repair, re-establishes shade and fodder via silvopasture, and rebuilds the Indus riparian corridor 2–3 km back from the channel.

Intervention area5,400 ha
Pour-points sequenced7
Capex (mixed capital stack)USD 4.8M
Operator partnerFarmer cooperative + NGO
Execution windowKharif 2026 → Rabi 2028
FinancingGrant + carbon + biogas revenue

Projected cascade · 3-year horizon

What moves when one trigger point is pulled — modelled across the five coupled layers.

Cascade projections use coupled hydrology + biomass + dairy models ground-truthed against PBS district data and Sindh Agriculture Facts & Figures 2024. Sensitivity bands reported in the full brief.

Buffalo water use−38%
Biochar produced12,000 t/yr
CO₂eq abated340 t/yr
October burn events−40%
Wheat yield (Y3, SOC lift)+12%
Milk yield (silvopasture)+8%
Households in year 1180+
Leverage vs. flat-basin approach~7×

7×

Leverage per USD vs. basin-flat spending

Layers moved by one intervention

180+

Households direct income uplift

340 t

CO₂eq abated per year (Y3)

Who this is for

Four buyers. One convergence map that answers four different questions.

The same underlying intelligence — eight layers, district resolution, trigger-point ranking — resolves differently depending on what decision you’re defending. Here’s what LandIQ delivers to each kind of reader.

01 · Governments

Basin-scale decision support · physics that survives audit.

Your decisionWhere to sequence restoration, water, and adaptation spending across a basin — and how to defend that sequence to Cabinet, donors, and press.

What you getA convergence atlas for your jurisdiction. Trigger points ranked by leverage per rupee. Each ranked site carries its intervention, cost, and projected cascade. Defensible against audit and donor review.

EngagementAnnual Atlas subscription + seasonal refresh.

02 · Multilaterals · DFIs

Operator-partner intelligence for country compacts.

Your decisionWhich country compact, which district, which intervention to fund — and the counterfactual against which impact will be measured.

What you getCountry-level intelligence for water and climate compacts. Pre-investment diligence on site, mechanism, cascade, and failure modes. Independent from the implementer.

EngagementCountry-level engagement + per-project diligence.

03 · Project developers

Pre-MRV site intelligence for carbon + water projects.

Your decisionWhich site will hold · which will fail · which will stack credits. Where to commit capex before the first baseline survey.

What you getSite-selection intelligence. Cascade projection. Monitoring baseline. Failure-mode brief. Inputs ready for MRV methodology.

EngagementPer-site or portfolio retainer.

04 · NGOs · Foundations

Convergence maps on demand, defensible to boards.

Your decisionWhere dollar impact is highest given a theory of change — and how to carry that story past the next grant cycle.

What you getConvergence maps. Mechanism grounding. Published briefs. Defense of placement to boards and donors.

EngagementProject grant + published outputs.

How we engage

Three engagement tiers. Atlas, Engagement, Bespoke.

Units and commitment published openly. Dollar figures scoped to question, geography, and timeline. Every engagement includes reproducible methods, cited data spine, and a signed brief the client can defend downstream.

01 · Atlas

Standing country-scope intelligence.

Per basin · per year

The eight-layer stack running continuously on your geography. Quarterly refresh. Always-on access to the convergence map, ranked trigger points, and methodology.

Eight layers · district resolution
Quarterly data refresh + alerts
Standing dashboard access
GeoTIFF / GeoJSON / vector briefs
Seasonal re-ranking of trigger points

Subscription · annual · per basin

02 · Engagement

Project-specific run + brief.

Per district · per question

A single defensible run on your specific decision. Full stack weighted for your question, ground-truthed at the top candidates, delivered as an intervention brief with cost + cascade + failure-mode analysis.

Question-weighted stack run
Top 5–10 trigger points ranked by leverage per USD
Field visit at shortlisted sites
Intervention + cost + cascade brief
Reproducible methods + full data spine

Scope-based · 6–12 weeks

03 · Bespoke

Custom modelling, data, programs.

Scope-based

Where the standing stack doesn’t answer your question: custom modelling, custom dataset generation, multi-year programs, embedded team. Transferable, reproducible, yours.

Hydrological routing, LCA, biochar kinetics
Atmospheric moisture recycling models
Trigger-point optimisation under constraints
Embedded analytics partner on long programs
Memo + model + dataset, all transferable

Case-by-case · weeks to multi-year

Dollar figures. We do not publish list prices because every engagement is scoped to the client’s decision, geography, and timeline — list prices would either under-price a substantial ask or over-price a simple one. Ask for a quote and we return a written scope within 48 hours.

Leadership

Khurram Irshad

Co-founder & Chairman

Indus Climate Fund · Irshad Foundation · Stony Brook

Entrepreneur with a thirty-year track record of executing first-of-kind projects in industry and capital — from a patented textile-wastewater reuse process (PK 139309, 2007) to leadership of the Indus Climate Fund in New York, directing catalytic capital into climate technology, sustainable agriculture, biochar, and carbon markets. Trustee of the Irshad Foundation for nineteen years, financing girls’ education across rural Sindh. Stony Brook University. Anchors LandIQ’s operational scale, client relationships, and long-term direction as the practice moves from consulting to platform.

Ali Bin Shahid

Co-founder & CEO

Climate & Ecosystem Repair Architect · Regenesis

Twenty years in systems engineering. A decade on coupled land–atmosphere systems. Peer-reviewed work in hydrology and thermal forcing. LandIQ is the instrument for locating where restoration carries furthest in Pakistan.

Peer-reviewed publications in hydrology, thermal forcing, and climate systems
Head Scientist, Ten Lives Festival — Portugal & Spain (landscape restoration, water-cycle design)
Consultant: Green Deck (Jordan, Colombia) · HOPE (Spain)
Advisor: Cooling the Climate Group (Amazonas) · Ecosystem Restoration Alliance
Research partner with Olivia Lazard (Carnegie) — paper forthcoming

ORCID Regenesis LinkedIn

Belief

Every degraded landscape contains the map of its own recovery. The coupling that drove collapse is the same coupling that carries restoration. The question was never whether recovery is possible. It was always: where do you start?

Featured

Featured on Investing in Regenerative Agriculture as "one of the few who can model and calculate water cycle restoration."

Schedule

Consulting now. Platform in 2027.

Today, each engagement is bespoke. The pipeline that backs them becomes a product once the pipeline is proven.

Now

Consulting & Project Analysis

Spatial intelligence assembled per-project. Satellite-based analysis, convergence reports, strategic plans, and advisory engagements across water, agriculture, and restoration.

Next · Late 2026

Data Pipeline

Automated ingestion from satellite, government, and field sources. Convergence scoring validated against live deployment outcomes. Bioacoustic biodiversity layer in development.

Horizon · 2027

SaaS Platform

Self-serve access. Query any district. Export convergence reports. API for MRV integration, carbon registries, and project developers.