🍅 California Tomato Landcover Viewer

Developed by Mohammadreza Narimani, PhD Candidate at UC Davis
Digital Agriculture Laboratory | University of California, Davis

Interactive Tomato Crop Mapping

This Google Earth Engine application allows users to explore tomato crop distribution across California from 2015–2023. Using USDA Cropland Data Layer (CDL) data, the app highlights tomato fields in bright red, making it easy for growers, researchers, and policymakers to understand statewide tomato production patterns.

Developed at the Digital Agriculture Laboratory, UC Davis, this tool supports agricultural planning, policy development, and research in California's vital tomato industry.

✔️ Annual tomato mapping • 30-meter resolution • 2015-2023 time series • USDA CDL data

How to Use the App

1️⃣ Select Year

Choose any year from 2015 to 2023 to view tomato crop distribution for that specific growing season.

2️⃣ Explore California

Navigate across California to see tomato production areas highlighted in bright red on the interactive map.

3️⃣ Compare Years

Switch between different years to analyze changes in tomato cultivation patterns over time.

4️⃣ Analyze Patterns

Identify major tomato growing regions and understand spatial distribution across California's agricultural landscape.

Visual Examples

Mohammadreza Narimani USDA Cropland Data Layer California all crops 2024 agricultural mapping Google Earth Engine UC Davis Digital Agriculture Laboratory

USDA Cropland Data Layer (All Crops, 2024)

Mohammadreza Narimani California tomato landcover 2023 USDA Cropland Data Layer interactive Google Earth Engine application UC Davis Digital Agriculture Laboratory

Tomato Landcover (California, 2023 – From Our App)

Try the Interactive App

Select a year (2015–2023) and instantly visualize tomato acres across California

Technical Information

Data Source

  • USDA Cropland Data Layer (CDL) from NASS
  • 30-meter resolution annual crop maps
  • Covers 2015-2023 growing seasons
  • Google Earth Engine cloud computing platform

Source: USDA NASS Cropland Data Layer

Application Features

  • Interactive year selection (2015-2023)
  • Tomato fields highlighted in bright red
  • Statewide California coverage
  • High-resolution crop mapping
  • Time-series analysis capability

Resources & Links

About the Developer

Mohammadreza Narimani
PhD Candidate, University of California, Davis

Remote Sensing • Digital Agriculture • Google Earth Engine • Agricultural Mapping

Developing satellite-based tools for crop monitoring and agricultural analysis at the Digital Agriculture Laboratory at UC Davis.

📧 mnarimani@ucdavis.edu
🎓 Google Scholar Profile