Visualize pixel values of time-series satellite images in QGIS

0:16 - Install Google Earth Engine (GEE) plugin
1:38 - GEE authentication
2:12 - Test displaying Sentinel-2 images from the GEE image collection
3:05 - Locate the deforested area as a use case
3:16 - Install CCD plugin
3:45 - Pick a location to be inspected
3:51 - Select image collection
4:16 - Old satellite image previews
4:35 - Generate time-series pixel value visualization
5:01 - Change representation
5:25 - Inspect breakpoint (timing of deforestation) and recovery (timing of replanting)
5:48 - Case of no recovery
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Time-series signals of satellite image pixels can reveal insights into land surface dynamics e.g. when land cover change happened. In the tropics where rainforests are often cleared for agricultural commodities, such time-series signals can tell when the deforestation occurred and when the commodities were planted. This can be indicated by the breakpoint in the signal, which can be represented by a single band or a spectral index e.g. NDVI, NBR.

With cloud-optimized rasters being available through STAC or Google Earth Engine assets, you don't have to download the time-series images manually. The Continuous Change Detection (CCD) QGIS Plugin leverages the GEE API and lets you visualize the time-series pixel values from satellite images of Landsat and Sentinel-2. All you need is to pick a location that you want to inspect.

Follow along with the video to learn how to use the CCD Plugin to visualize time-series satellite image pixel values of a point in QGIS.

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Sinyal time-series dari piksel citra satelit dapat mengungkap insight tentang dinamika lahan, seperti waktu terjadinya perubahan tutupan lahan. Di daerah tropis dimana hutan ditebang untuk komoditas pertanian, sinyal time-series dapat membantu mengetahui kapan deforestasi terjadi dan kapan komoditas tersebut ditanam. Hal ini diindikasikan dari breakpoint pada sinyal, yang direpresentasikan dari nilai piksel saluran spektral tunggal maupun indeks spektral seperti NDVI atau NBR.

Dengan tersedianya cloud-optimized raster melalui aset STAC atau GEE, kita tidak perlu mengunduh citra time-series secara manual. Plugin Continuous Change Detection (CCD) di QGIS memanfaatkan GEE API yang memudahkan kita untuk memvisualisasikan nilai piksel time-series dari citra satelit Landsat dan Sentinel-2. Kita cukup memilih lokasi yang ingin diperiksa.

Simak video ini untuk mempelajari cara menggunakan Plugin CCD untuk memvisualisasikan nilai piksel citra satelit time-series di QGIS.

Semoga bermanfaat.
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Also watch:    • Satellite Image Time Series Analysis:...  
Plugin repository: https://github.com/SMByC/CCD-Plugin