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https://github.com/blacha/cogeotiff
High performance cloud optimized geotiff (COG) reader
https://github.com/blacha/cogeotiff
cog geotiff nodejs typescript
Last synced: 3 months ago
JSON representation
High performance cloud optimized geotiff (COG) reader
- Host: GitHub
- URL: https://github.com/blacha/cogeotiff
- Owner: blacha
- License: mit
- Created: 2019-06-17T09:56:51.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-06-26T17:39:31.000Z (4 months ago)
- Last Synced: 2024-07-19T06:38:42.947Z (4 months ago)
- Topics: cog, geotiff, nodejs, typescript
- Language: TypeScript
- Homepage:
- Size: 3.49 MB
- Stars: 75
- Watchers: 4
- Forks: 5
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-earthobservation-code - cogeotiff - High performance cloud optimised geotiff reader (`Python` processing of optical imagery (non deep learning) / Cloud Native Geospatial)
README
# cogeotiff
Tools to work with [Cloud optimized GeogTiff](https://www.cogeo.org/) (COG)
- Completely javascript based, works in the browser and nodejs
- Lazy load Tiffs images and metadata
- Supports huge 100GB+ COGs
- Uses GDAL Tiffs optimizations, generally only one or two reads per tile!
- Loads Tiffs from URL, File, Google Cloud or AWS S3
- Used in production for [LINZ's Basemaps](https://github.com/linz/basemaps) with billions of tiles fetched from COGs!
## Usage
Load a COG from a URL using `fetch`
```typescript
import { SourceHttp } from '@chunkd/source-http';
const source = new SourceHttp('https://example.com/cog.tif');
const cog = await Tiff.create(source);
const img = cog.images[0];
if (img.isTiled()) throw new Error('Tiff is not tiled');
const tile = await img.getTile(2, 2); // Fetch a tile from a tiff x:2, y:2
// Tiff tags can be directly accessed too
img.value(TiffTag.GdalNoData); // "-9999"
// or tag metadata can be fetched
img.tags.get(TiffTag.GdalNoData);
/**
{
type: 'inline', // How the tag was read "inline" vs "lazy"
id: 42113, // Tag Id (@see TiffTag)
name: 'GdalNoData', // Tag Name
count: 6, // Number of values
value: '-9999',
dataType: 2, // Char
tagOffset: 194 // Bytes into the file where the tag was read.
}
*/
```
## Command Line Interface
```bash
npm i -g @cogeotiff/cli
```
### cogeotiff info
Display basic information about COG
```shell
cogeotiff info webp.cog.tif
```
Output:
```
COG File Info - /home/blacha/Downloads/tif-new/bg43.webp.cog.tif
Tiff type BigTiff (v43)
Chunk size 64 KB
Bytes read 64 KB (1 Chunk)
Images
Compression image/webp
Origin 18550349.52047286,-5596413.462927464,0
Resolution 19.10925707129406,-19.10925707129415,0
BoundingBox 18550349.52047286,-5713820.738373496,19098250.139221005,-5596413.462927464
Info
Id Size Tile Size Tile Count
0 28672x6144 56x12 672
1 14336x3072 28x6 168
2 7168x1536 14x3 42
3 3584x768 7x2 14
4 1792x384 4x1 4
5 896x192 2x1 2
6 448x96 1x1 1
GDAL
COG optimized true
COG broken false
Tile order RowMajor
Tile leader uint32 - 4 Bytes
Mask interleaved false
```
### cogeotiff dump
Dump all tiles for a image (**Warning** if you do this for a large cog this will create millions of files.)
```
cogeotiff dump --image 2 --output output
```
# Building
This requires [NodeJs](https://nodejs.org/en/) >= 18 & [Yarn](https://yarnpkg.com/en/)
Use [n](https://github.com/tj/n) to manage nodeJs versions
```bash
# Download the latest nodejs & yarn
n latest
npm install -g yarn
# Install node deps
yarn
# Build everything into /build
yarn run build
# Run the unit tests
yarn run test
```