Hello SentinelHub Team,
We are trying to figure out why Tiff images for the same AOI look different at 10m resolution and 5m resolution. Specifically, when doing a side-by-side comparison between 10m and 5m version, the 10m one seems to have patches of pixels that are kind of rotating and this can be noticed especially when looking at the broken lines like roads and edges of fields.
Because I’m a new user, it seems I cannot attach the two Tiffs here.
What I can tell you is that I used the request builder for ProcessAPI. It’s a simple request for true color Tiff images, FLOAT32 sample type. I increased the luminosity a bit to prevent a very dark image. Used a simple Python script that sends the request and then writes to file the response content.
This is the request for the 10m resolution version. Changed the width and height for the 5m one.
{
"input":{
"bounds":{
"geometry":{
"type":"Polygon",
"coordinates":e
12.074120834739176,
54.051486777107314
],
12.074077150427001,
54.033802669106564
],
12.103907819637186,
54.03382058037906
],
12.103709016791043,
54.05150792938981
],
12.074120834739176,
54.051486777107314
]
]
]
}
},
"data":t
{
"dataFilter":{
"timeRange":{
"from":"2022-06-03T00:00:00Z",
"to":"2022-06-03T23:59:59Z"
}
},
"type":"sentinel-2-l2a"
}
]
},
"output":{
"width":195.0293683827518,
"height":197.09405590917638,
"responses":e
{
"identifier":"default",
"format":{
"type":"image/tiff"
}
}
]
},
"evalscript":"//VERSION=3\n\nfunction setup() {\n return {\n input: u\"B02\", \"B03\", \"B04\"],\n output: { bands: 3 },\n sampleType: SampleType.FLOAT32\n };\n}\n\nfunction evaluatePixel(sample) {\n return u5 * sample.B04, 5* sample.B03, 5 * sample.B02];\n}"
}
Can you think of any reason why we have this difference between 10m and 5m? Thank you!
