lect: Pattern 'classifier' did not match any bands. Print('Wheat Area (sq meters) in region', wheatArea) Ĭlassified class pixel count within region Var wheatArea = ee.Number(wheatPixelCount).multiply(PIXEL_AREA) Var wheatPixelCount =ee.Dictionary(regionCoverHistogram.get('wheat2')).get(wheat2.toString()) Print('classified class pixel count within region', regionCoverHistogram) reduceRegion(ee.equencyHistogram(), geometry2, PIXEL_SCALE) Var PIXEL_AREA = PIXEL_SCALE * PIXEL_SCALE // Square meters.Ĭalculate the number of pixels of each classification in our polygon var regionCoverHistogram = lect('classifier'). This is because the color picker is small, therefore the sliders/chooser are too sensitive. Thats all good, but when not using the pixel picker its hard to nail a specific color. This brings up a color chooser with a sweet pixel zoom-picker ability. 0 forest 1 baresoil 2 gram 3 wheat 4 mustard var PIXEL_SCALE = 10 // Meters. While in Chrome DevTools (f12) one can click a color swatch next to the hex value of a css rule. Var training = lect(bands).sampleRegions(,'classification') Var newfc = rge(gram2).merge(baresoil).merge(wheat2).merge(mustard2) All Copernicus Sentinel-2 data 2020 used. merging the feature collection collected Demo project for cloud recognition from Sentinel-2 satellite imagery using machine learning. The code of my problem is as follows: var image = ee.Image(sent2Ĭlip a geometry of study area var image1=image.clip(geometry2)
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |