Turn Satellite Data Into Intelligence Your Business Can Use.
Access satellite imagery, environmental data, and geospatial analytics through developer-friendly APIs. Build applications for agricultural monitoring, water management, environmental intelligence, and large-scale land monitoring without building your own Earth Observation processing infrastructure.
Built by Rotten Grapes Private Limited for developers, AgriTech companies, enterprises, and geospatial solution providers.
Central Valley Agricultural Basin #AOI-482
{
"status": "success",
"satellite": "SENTINEL-2",
"acquisition_date": "2026-09-18",
"aoi_id": "aoi_crop_zone_482",
"indices": {
"ndvi": { "mean": 0.742, "min": 0.38, "max": 0.89 },
"ndmi": { "mean": 0.418, "moisture_status": "optimal" },
"evi": { "mean": 0.582 }
},
"weather": { "temp_c": 24.5, "rainfall_mm": 12.2 }
}Satellite Data Is Everywhere. Turning It Into Usable Intelligence Is the Hard Part.
Building an Earth Observation application often means managing multiple data sources, processing satellite imagery, calculating spectral indices, handling different formats, and maintaining a complex geospatial pipeline.
That infrastructure takes time away from building the product your customers actually need. Observearth simplifies the process by providing access to satellite imagery and derived analytics through a unified API platform.
Too Many Data Sources
Access supported Earth Observation datasets through a single common application interface instead of juggling fragmented portals.
Complex Pipelines
Retrieve imagery, calculate supported indices, and obtain statistics without implementing every processing step yourself.
Expensive Infrastructure
Reduce the engineering effort and cloud expenditure involved in building and maintaining dedicated satellite-data compute clusters.
Slow Product Development
Integrate Earth Observation capabilities directly into existing applications rather than spending months building from scratch.
Limited Scalability of Manual Workflows
Analyse defined areas of interest programmatically and build reliable, repeatable workflows across thousands of locations simultaneously.
Focus on building intelligence. Let Observearth handle much of the underlying satellite data complexity.
Explore Observearth Platform →The Building Blocks of Earth Observation Applications
Everything required to retrieve, process, analyse, and present satellite intelligence at commercial scale.
Multi-Source Satellite Imagery
Access imagery and analysis workflows for supported satellite platforms, including Sentinel-1 (SAR), Sentinel-2 (Multispectral), Landsat, and MODIS.
Vegetation, Water & Moisture Indices
Turn satellite bands into meaningful indicators of land and environmental conditions.
Area-of-Interest (AOI) Analytics
Define the geography your application needs to monitor. Create and manage AOIs using GeoJSON boundaries.
Time-Series & Historical Analysis
Move beyond a single satellite snapshot. Compare multi-temporal observations across dates to identify seasonal trends and anomalies.
Weather & Environmental Data
Bring atmospheric context directly into your application. Access current, forecast, and historical weather information.
Developer-Friendly APIs
Use authenticated REST APIs to request supported imagery and analytical outputs with comprehensive documentation.
Satellite Intelligence for Agriculture at Scale
Monitor agricultural land, analyse crop conditions, and develop data-driven farming applications using satellite observations. Observearth provides a foundation for agricultural technology companies that need Earth Observation data across large numbers of fields and farms.
Crop Monitoring
Track vegetation indicators over individual plots or larger agricultural areas. Compare observations over time to identify unusual patterns that warrant further field investigation.
Water Stress & Irrigation
Combine vegetation and moisture-related indicators with weather information to support water-management applications and identify areas for further assessment.
Crop Classification
Use satellite time series and derived features as inputs to crop-mapping and machine-learning workflows for seasonal acreage estimation.
Yield Prediction
Combine satellite-derived features with historical yields, weather, crop information, and ground observations to develop predictive models.
Agricultural Digital Twins
Build digital representations of farms and agricultural regions that combine geographic boundaries, satellite observations, weather, and operational information into a unified decision dashboard.
* Advanced classification, predictive models, and digital-twin implementations may require additional custom model development and integration.
Build Your AgriTech SolutionOne Earth Observation Platform. Multiple Industries.
Observearth powers domain-specific decision systems across both public and private sectors.
Forestry & Environmental
Analyse vegetation patterns, investigate potential changes in forest canopy cover, and develop automated workflows for conservation monitoring.
Water Resource Management
Use satellite-derived water and moisture indicators alongside environmental datasets to support reservoir monitoring and watershed analysis.
Land Use & Urban Planning
Analyse land-cover transitions, monitor encroachment into natural buffers, and support regional infrastructure planning.
Mining & Infrastructure
Develop workflows for monitoring ground disturbance, tailings storage facility surrounds, and asset corridor environmental stability.
Climate & Environmental Intelligence
Combine historical satellite observations with weather indicators to power climate resilience dashboards and ESG compliance tracking.
GeoAI & Geospatial Software
Feed calibrated Earth Observation data arrays directly into machine learning pipelines and deep learning computer vision architectures.
From Satellite Observation to Application-Ready Data
A clean six-step path from raw orbital sensors to customer-facing dashboards.
Define Your Area
Create an area of interest (AOI) for a farm, parcel, watershed, forest, or any custom polygon using standard GeoJSON boundaries.
Select Your Data Source
Choose a supported satellite or environmental dataset based on your spatial resolution, cadence, and historical depth needs.
Request Imagery & Analytics
Use the REST API to search observations, apply cloud masks, calculate spectral indices, or extract statistical time-series.
Integrate Results
Stream JSON statistics, GeoTIFF rasters, or map tiles straight into your web app, GIS platform, mobile app, or PostgreSQL/PostGIS database.
Build Your Intelligence Layer
Combine satellite feeds with domain business rules, soil sampling, weather stations, and machine learning models.
Deliver Value to Customers
Deploy finished farm monitoring dashboards, ESG reports, water tracking tools, and alerting products under your own brand.
The outcome: Less effort spent building data infrastructure and more effort spent developing the product and business logic that differentiate your solution.
Earth Observation APIs That Fit Into Your Existing Stack
Observearth is designed for engineering teams building geospatial applications, analytics systems, and data-driven products. Use the APIs as a pluggable component of your modern architecture.
Application Development
Integrate Earth Observation data into web and mobile applications, SaaS dashboards, and enterprise platforms.
GIS Integration
Bring satellite imagery and derived analytical outputs into compatible mapping workflows including Leaflet, MapLibre, OpenLayers, and QGIS.
Data Science & GeoAI
Use imagery arrays and statistical matrices directly in Python notebooks, PyTorch/TensorFlow models, and GeoPandas workflows.
Custom Geospatial Products
Develop bespoke products tailored to your industry, customers, and business rules rather than recreating satellite ingestion pipelines.
import requests
API_KEY = "oe_live_9b4e72..."
BASE_URL = "https://api.observearth.com/v1"
# 1. Define AOI geometry
payload = {
"satellite": "sentinel-2",
"indices": ["ndvi", "ndmi"],
"date_range": ["2026-08-01", "2026-09-01"],
"max_cloud_cover": 10,
"geometry": {
"type": "Polygon",
"coordinates": [[[73.85, 18.52], [73.89, 18.52], ...]]
}
}
# 2. Query stats & analytics
headers = {"Authorization": f"Bearer {API_KEY}"}
resp = requests.post(f"{BASE_URL}/analytics", json=payload, headers=headers)
data = resp.json()
print(f"Mean NDVI: {data['ndvi']['mean']:.3f}")
# Output: Mean NDVI: 0.742Build on Earth Observation Infrastructure. Not From Scratch.
Spend less time assembling satellite-data pipelines and more time delivering useful geospatial software.
Simpler Integration
Access supported imagery and analytics through well-documented, standardized RESTful APIs.
Multiple Data Sources
Work with supported optical, radar, and environmental datasets through a single unified service.
Flexible Analysis
Define arbitrary areas of interest, choose specific spectral indices, and select customizable date intervals.
Commercial Development
Build products and services around Earth Observation data with transparent terms and commercial scalability.
A Partner for Custom Solutions
When off-the-shelf API capabilities aren't enough, Rotten Grapes' experienced engineering team can scope custom GIS development, remote sensing algorithms, and GeoAI solutions tailored directly to your workflow.
A Foundation for GeoAI
The next generation of geospatial applications will combine satellite observations with machine learning, domain knowledge, and operational data. Observearth provides a foundational data engine for developing these advanced solutions.
🌾 Crop Intelligence
Crop classification, crop condition anomalies, and predictive yield-estimation models.
💧 Agricultural Water Accounting
Combine mapped parcels, satellite observations, and weather to estimate consumption.
🗺️ Land-Change Detection
Automated identification of land cover alterations using multi-temporal imagery.
🌱 Environmental Intelligence
Combine satellite indicators with environmental datasets to monitor ecological shifts.
🧠 Geospatial AI Applications
Develop specialized models combining satellite imagery, spectral features, and ground-truth validation data.
Rotten Grapes works alongside customers to develop application-specific GeoAI models tailored to operational requirements.
Discuss a Custom GeoAI ProjectStart With the Data You Need. Scale With Your Application.
Observearth offers subscription-based access to satellite imagery, weather APIs, and geospatial analytics, with plans starting at US$25 per month alongside tailored enterprise arrangements.
Subscription Plans
Ideal for evaluating APIs, proof-of-concept projects, and agile development teams building initial products.
- ✓ Documented REST API endpoints
- ✓ Sentinel & Landsat imagery retrieval
- ✓ NDVI, EVI, NDMI, NDWI spectral indices
- ✓ Weather data integration
Custom Enterprise
For organizations monitoring vast geographic areas, high request volumes, custom pipelines, and dedicated support SLAs.
- ✓ Millions of hectares coverage
- ✓ High-concurrency rate limits
- ✓ Custom GeoAI model training & integration
- ✓ Engineering support by Rotten Grapes
Frequently Asked Questions
What is Observearth?
Observearth is an Earth Observation API platform that provides access to supported satellite imagery, environmental datasets, and geospatial analytics for use in commercial applications and analytical workflows.
Which satellite datasets does Observearth support?
The published documentation covers Sentinel-1 (radar), Sentinel-2 (optical), Landsat, and MODIS workflows, alongside additional weather and environmental data products. Availability and supported operations vary by dataset.
Can I calculate NDVI and other vegetation indices?
Yes. The documented API supports retrieval of imagery and statistics for several spectral indices, including NDVI, EVI, NDMI, and NDWI. Other indices are available according to the supported dataset and endpoint.
Can I monitor multiple farms or parcels?
The platform supports defining and managing areas of interest (AOIs). These can be used in supported API workflows for imagery retrieval and analysis. Subscription limits apply to monitored or processed area as defined by your plan.
Can Observearth help build crop-monitoring apps?
Yes. Its satellite imagery and analytical APIs can serve as the core data layer for crop-monitoring applications. Application-specific alerts, classification models, and yield predictions can be built on top.
Can I integrate Observearth with my existing stack?
Observearth provides documented REST APIs designed for frictionless integration into web, mobile, GIS, and data science workflows. Review the API documentation to confirm the endpoints relevant to your use case.
Can Observearth support enterprise-scale monitoring?
Yes, custom enterprise arrangements support large areas, high request volumes, specialized datasets, and bespoke model pipelines. These can be scoped with the Rotten Grapes team.
How do I get started?
Visit Observearth at observearth.com to explore the platform, review the API documentation, or contact Rotten Grapes directly to discuss your project requirements.
Your Next Geospatial Product Starts With Better Access to Earth Observation Data.
Build agricultural intelligence, environmental monitoring systems, and satellite-powered applications without recreating the underlying data infrastructure.
Explore Observearth APIs or work with Rotten Grapes to develop a solution tailored to your business.
Observearth — Earth Observation data and analytics APIs by Rotten Grapes Private Limited.