API Reference

Name: GlobMaps Southeast Asia Drought Risk Index (MDI)
Creator: GlobMaps
License: https://climate.globmaps.com/developers/terms

Authenticate every request with an x-api-key: YOUR_API_KEY header. Manage keys in the API Keys tab.

Current Coverage

🇹🇭 Thailand

THA

77 Provinces

🇻🇳 Vietnam

VNM

63 Provinces

🇲🇾 Malaysia

MYS

16 States

🇮🇳 India

IND

36 State/UTs

Quick Start

curl

# GET — Drought data for a coordinate
curl "https://climate.globmaps.com/api/risk-map/drought?lat=13.7563&lng=100.5018" \
  -H "x-api-key: YOUR_API_KEY"

# GET — Province drought data
curl "https://climate.globmaps.com/api/risk-map/drought/province?country=THA&name=Chiang+Mai" \
  -H "x-api-key: YOUR_API_KEY"

# POST — Risk score
curl -X POST "https://climate.globmaps.com/api/risk-map/score" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"lat": 13.7563, "lng": 100.5018, "riskType": "DROUGHT"}'

python

import requests

BASE = "https://climate.globmaps.com"
HEADERS = {"x-api-key": "YOUR_API_KEY"}

# Grid drought at Bangkok
r = requests.get(f"{BASE}/api/risk-map/drought", headers=HEADERS,
                 params={"lat": 13.7563, "lng": 100.5018})
data = r.json()["data"]
print(data["drought"]["score"], data["drought"]["level"])

# Province query
r = requests.get(f"{BASE}/api/risk-map/drought/province", headers=HEADERS,
                 params={"country": "THA", "name": "Chiang Mai"})
province = r.json()["data"]
print(province["province"], province["mdi"]["severity"])

# Batch — 3 farms
r = requests.post(f"{BASE}/api/risk-map/batch",
    headers={**HEADERS, "Content-Type": "application/json"},
    json={"riskType": "DROUGHT", "points": [
        {"id": "farm-01", "lat": 13.75, "lng": 100.50},
        {"id": "farm-02", "lat": 18.79, "lng": 98.97},
        {"id": "farm-03", "lat": 21.02, "lng": 105.83},
    ]})
for item in r.json()["results"]:
    print(item["id"], item["riskScore"], item["riskLevel"])

const BASE = "https://climate.globmaps.com";
const HEADERS = { "x-api-key": "YOUR_API_KEY" };

// Grid drought at Bangkok
const droughtRes = await fetch(
  `${BASE}/api/risk-map/drought?lat=13.7563&lng=100.5018`,
  { headers: HEADERS }
);
const { data } = await droughtRes.json();
console.log(data.drought.score, data.drought.level);

// Province query
const provRes = await fetch(
  `${BASE}/api/risk-map/drought/province?country=THA&name=Chiang+Mai`,
  { headers: HEADERS }
);
const { data: prov } = await provRes.json();
console.log(prov.province, prov.mdi.severity);

// Batch
const batchRes = await fetch(`${BASE}/api/risk-map/batch`, {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({ riskType: "DROUGHT", points: [
    { id: "farm-01", lat: 13.75, lng: 100.50 },
    { id: "farm-02", lat: 18.79, lng:  98.97 },
  ]}),
});
const { results } = await batchRes.json();
results.forEach(r => console.log(r.id, r.riskScore));

Drought API

GET/api/risk-map/drought

Grid-level drought index at a coordinate (nearest ~25 km grid cell). Returns MDI score, severity, and 7-dimension index breakdown.

Parameters

Name	Type	Required	Description
lat	number	required	Latitude (-90 to 90)
lng	number	required	Longitude (-180 to 180)
month	string	optional	Data month in YYYY-MM format. Defaults to latest available.

Response (200 OK)

{
  "success": true,
  "data": {
    "location": {
      "requestedLat": 13.7563,
      "requestedLng": 100.5018,
      "gridId": "THA_grid_0042",
      "gridLat": 13.75,
      "gridLng": 100.50,
      "distanceKm": 0.8,
      "country": "THA"
    },
    "period": {
      "month": "2026-04",
      "availableMonths": ["2025-05","2025-06","...","2026-04"],
      "climatologyBaseline": "1991-2020"
    },
    "drought": {
      "score": 0.61,
      "level": "moderate",
      "severity": "D1–D2 Moderate Drought",
      "indices": { "spei": 0.58, "spi": 0.63, "vci": 0.55, "tci": 0.67, "vhi": 0.60, "pdsi": 0.59, "sma": 0.64 }
    },
    "confidenceScore": 0.82
  }
}

GET/api/risk-map/drought/province

Province-level drought data. Coverage: Thailand (77 provinces), Vietnam (63 provinces), Malaysia (16 states), India (36 states/UTs).

Parameters

Name	Type	Required	Description
name	string	required	Province name (e.g. "Chiang Mai", "Ha Noi", "Johor")
country	string	required	"THA" \| "VNM" \| "MYS" \| "IND"
month	string	optional	Data month in YYYY-MM format. Defaults to latest available.

Response (200 OK)

{
  "success": true,
  "data": {
    "province": "Chiang Mai",
    "country": "THA",
    "month": "2026-04",
    "mdi": {
      "score": 0.54,
      "level": "moderate",
      "severity": "D1–D2 Moderate Drought"
    },
    "indices": { "spei": 0.51, "spi": 0.57, "vci": 0.48, "tci": 0.60, "vhi": 0.52, "pdsi": 0.55, "sma": 0.54 }
  }
}

GET/api/risk-map/drought/summary

Country-level drought summary with AI-generated narrative and aggregate statistics.

Parameters

Name	Type	Required	Description
country	string	required	"THA" \| "VNM" \| "MYS" \| "IND"

Response (200 OK)

{
  "success": true,
  "data": {
    "country": "THA",
    "month": "2026-04",
    "summary": {
      "affectedProvinces": 23,
      "totalProvinces": 77,
      "severityBreakdown": { "D0": 8, "D1": 9, "D2": 4, "D3": 2, "D4": 0 },
      "averageMdi": 0.38
    },
    "narrative": "Northern Thailand continues to experience moderate drought conditions..."
  }
}

GET/api/risk-map/drought/confidence

7-dimension forecast confidence scores for each index in the MDI composite.

Parameters

Name	Type	Required	Description
country	string	required	"THA" \| "VNM" \| "MYS" \| "IND"

Response (200 OK)

{
  "success": true,
  "data": {
    "country": "THA",
    "month": "2026-04",
    "confidence": {
      "spei": 0.88, "spi": 0.91, "vci": 0.79,
      "tci": 0.83, "vhi": 0.81, "pdsi": 0.85, "sma": 0.87
    },
    "composite": 0.85
  }
}

GET/api/risk-map/drought/alert

Active drought alerts filtered by severity threshold. Returns provinces meeting or exceeding the specified level.

Parameters

Name	Type	Required	Description
country	string	required	"THA" \| "VNM" \| "MYS" \| "IND"
severity	string	optional	"D0" \| "D1" \| "D2" \| "D3" \| "D4". Defaults to "D2".

Response (200 OK)

{
  "success": true,
  "data": {
    "country": "THA",
    "severity_threshold": "D2",
    "alert_count": 6,
    "provinces": [
      { "name": "Chiang Rai", "severity": "D2", "score": 0.52 },
      { "name": "Nan",        "severity": "D3", "score": 0.61 }
    ]
  }
}

Point Query

GET/api/point-query

Reverse-geocode a lat/lng to a province then return full MDI drought data. Single call for location → risk lookup.

Parameters

Name	Type	Required	Description
lat	number	required	Latitude (-90 to 90)
lng	number	required	Longitude (-180 to 180)

Response (200 OK)

{
  "status": "ok",
  "province": "Bangkok Metropolis",
  "country": "THA",
  "mdi": { "score": 0.41, "level": "mild", "severity": "D0 Abnormally Dry" },
  "indices": { "spei": 0.38, "spi": 0.44, "vci": 0.36, "tci": 0.47, "vhi": 0.40, "pdsi": 0.42, "sma": 0.39 },
  "month": "2026-04"
}
// status: "out_of_coverage" if point is outside THA/VNM/MYS/IND

Risk Score

POST/api/risk-map/score

Composite risk score for a coordinate across risk types. Returns a 0–1 score with level label.

Parameters

Name	Type	Required	Description
lat	number	required	Latitude
lng	number	required	Longitude
riskType	string	required	"DROUGHT" \| "FLOOD" \| "WILDFIRE"

Response (200 OK)

{
  "riskScore": 0.61,
  "riskLevel": "moderate",
  "country": "THA",
  "province": "Chiang Mai",
  "month": "2026-04"
}

Batch

POST/api/risk-map/batch

Bulk risk scoring for multiple coordinates in a single request. More efficient than individual calls. Max 100 points per request.

Parameters

Name	Type	Required	Description
points	array	required	Array of {lat, lng, id?} objects. Max 100.
riskType	string	required	"DROUGHT" \| "FLOOD" \| "WILDFIRE"

Response (200 OK)

{
  "results": [
    { "id": "farm-01", "lat": 13.75, "lng": 100.50, "riskScore": 0.61, "riskLevel": "moderate" },
    { "id": "farm-02", "lat": 18.79, "lng": 98.97,  "riskScore": 0.72, "riskLevel": "severe"   }
  ],
  "processed": 2,
  "failed": 0
}

Coming Soon — Not Yet Available

These endpoints are on the product roadmap but have no validated data pipeline yet. They return 501 Not Implemented and must not be integrated into production applications. When a pipeline ships and passes QA, the endpoint will be re-badged Beta → GA and announced in the changelog.

POST/api/outbreak-radar/queryComing Soon

Disease surveillance and outbreak risk intelligence. Real-time monitoring across 180+ countries using WHO EIOS, CDC FluNet, ProMED, and climate-disease correlation models.

Returns:501 Not Implemented·Roadmap — no confirmed date

POST/api/supply-chain/queryComing Soon

Port congestion, vessel tracking, and maritime trade risk intelligence. Covers 120+ major global ports with AIS data, UN Comtrade flows, and cargo delay estimates.

Returns:501 Not Implemented·Roadmap — no confirmed date

Rate Limits

Plan	Per Minute	Monthly	Notes
Free / Trial	10 req/min	1,000 req/mo	For evaluation only
Platform Pro	60 req/min	10,000 req/mo	Single country
Bundle Pro	60 req/min	30,000 req/mo	THA + VNM + MYS
SEA Bundle	300 req/min	200,000 req/mo	Full SEA coverage + Batch
Enterprise	Custom	Custom	SLA + dedicated support

When a rate limit is hit the API returns 429 Too Many Requests. Use exponential back-off before retrying. The X-RateLimit-Remaining response header shows calls left in the current window.

Error Codes

Code	Status	Description
400	Bad Request	Missing or invalid parameters (e.g. lat/lng out of range, bad YYYY-MM format)
401	Unauthorized	Missing x-api-key header or key not found
403	Forbidden	Active subscription does not include the requested country
404	Not Found	Province name not recognised, or no data for this location/period
429	Too Many Reqs	Rate limit exceeded — back off and retry after the window resets
500	Server Error	Unexpected error — contact support@globmaps.com with the request ID

All error responses follow the shape: { "error": "Human-readable message." }

Data Attribution

Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

Data sources: ERA5 (Copernicus/ECMWF) · SEAS5 seasonal forecast · NOAA GHCND station data · GloFAS river discharge.

Administrative boundaries: geoBoundaries (gbOpen), Runfola et al. (2020), licensed CC BY 4.0.

MDI scores are probabilistic estimates for decision-support purposes. Not intended as the sole basis for critical infrastructure, financial, or emergency decisions. Applications using this API must display: "Powered by GlobMaps MDI".

Support

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