CanopySat Python SDK
Real satellite forest intelligence — ESA Sentinel-2, NASA Landsat, NASA GEDI LiDAR.
Installation
pip install canopysat
Quick Start
from canopysat import Forest
# Analyze Amazon Rainforest
result = Forest.analyze(lat=-3.4653, lng=-62.2159, size=10)
print(result.score) # 80
print(result.ndvi) # 0.842
print(result.forest_cover) # 99.9
print(result.canopy_height) # 13.2 (NASA GEDI LiDAR)
print(result.deforestation_alert) # STABLE
print(result.summary())
With API Key
from canopysat import Forest
forest = Forest(api_key='YOUR_API_KEY')
result = forest._analyze(lat=-3.4653, lng=-62.2159)
print(result)
Get API Key
Free tier: 10 analyses/month https://canopysat.org/api-docs
License
AGPL-3.0 — https://canopysat.org
Metadata
Release files for canopysat 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| canopysat-1.0.0.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| canopysat-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.6 kB
Release files / canopysat-1.0.0.tar.gz
| Download URL | canopysat-1.0.0.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
|
Release files / canopysat-1.0.0-py3-none-any.whl
| Download URL | canopysat-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
|