Peter Wang, Deere & Company

https://github.com/peterpuwang/ImageryAnalyticsGmap

Build Google Maps API based Web Apps by Using ArcGIS Image & Map Servers

Vision: Imagery to Action

Data

Knowledge

*Wisdom*

Prescriptions

Actionable items

Multiple Altitude & Spectral Data Layers

Dozens of Indices: e.g. NDVI

- Normalized Difference Vegetation

Index

Crop Management Benefits:

• Nitrogen stress

• Water stress

• Pest Outbreaks

• Soil moisture

NDVI: Unlock the secrets. See the invisible.

NDVI: Unlock the secrets. See the invisible.

NDVI: green color is not always good.

NDVI: how well treatments have resolved problems over time

NDVI Time Series: accurate growth trending

Google Maps API + ArcGIS Imagery Solution

Server side:• Data

• Analytics Algorithms

Client side:• Input parameters

• Tools• Results

User Interface

Landsat Analytics: Bands & Indices

Landsat Analytics: Band Arithmetic & Color Map

Landsat Analytics: Band Arithmetic & Color Ramp

UAV Imagery Analytics: NDVI with Weed Detection

UAV Imagery Analytics: Weed Detection time series

Elevation Analytics: Aspect

UAV Analytics: Soil Data

UAV Analytics: Soil Types

Customizable Data Sources: on-demand expandability

Technology infrastructure

Code Structure

Code

Code

Code

Code

Thank you!

Peter Wang, Deere & Company

https://github.com/peterpuwang/ImageryAnalyticsGmap