Utilizing Leaflet-geotiff in an Angular 6 Environment

I'm currently facing an issue where I am unable to display any .tif image on my map using the leaflet-geotiff plugin. I downloaded a file from gis-lab.info (you can download it from this link) and attempted to add it to my map, but I keep encountering the error message: Custom Mask is off screen.

Let me show you how I used the plugin:

import * as geotiff from 'leaflet-geotiff/leaflet-geotiff';
import * as plotty from 'leaflet-geotiff/leaflet-geotiff-plotty';

export class MapComponent {

    ngOnInit() {
        this.map.on('load', () => {
            const options = {
                band: 0,
                name: 'Custom Mask',
                opacity: 1,
                renderer: new plotty.Plotty({
                    colorScale: 'greys'
                })
            };
            new geotiff.LeafletGeotiff('assets/uploads/clearcuts_174016_20101018_clip.tif', options).addTo(this.leafletMap);
        });
    }
}

In addition, here is what I found in the browser console (I added some console.log statements in the leaflet-geotiff library to verify that the tif file was being parsed there):

https://i.sstatic.net/6npNA.png

It seems like in the code within the leaflet-geotiff library, the issue arises when plotHeight and plotWidth have negative values. Despite my attempts, the layer still does not appear on the map. Can someone help pinpoint what I might be doing wrong? How can I successfully render a custom tif file on the map?

Answer №1

It seems that the issue with the message Custom Mask is off screen. is occurring because the file provided in this link is using the WGS 84 / UTM zone 39N projection.

https://i.sstatic.net/pmYRe.png

However, the geotiff.js library (which is a dependency for leaflet-geotiff) only supports files in EPSG:4326.

The readme file for leaflet-geotiff states:

url - GeoTIFF file URL. Currently only EPSG:4326 files are supported.

If you reproject the file to EPSG:4326 (you can use this tool), it should be able to be displayed correctly via leaflet-geotiff like shown in this example:

https://i.sstatic.net/P8bKd.png

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