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0

I define an image collection contains all landsat SR images(LT5,LE7 and LC8) only including some specific bands each. Finally 685 images in path 120 and row 32, each contains 10 bands were selected.

path = 120

row = 32



start = ee.Date.fromYMD(1983, 1, 1)

finish = ee.Date.fromYMD(2019, 1, 1)



l8_bandlist = ee.List(['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'pixel_qa'])

rename_list = ee.List(['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'tbb', 'qa'])



l8_sr = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filter(

ee.Filter.eq('WRS_PATH', path)).filter(ee.Filter.eq('WRS_ROW', row)).filterDate(

    start, finish).select(l8_bandlist, rename_list).sort('system:time_start')

Which i want to do is to perform a pixel based algorithm to this whole image . I think i have to do it pixel by pixel, but i don't know the way the bands of an image as well as the images in a collection organized in GEE, which means i can't find a way to extract the pixel all band's times series and start the loop.

I tried a lot in searching this tyope of solution. The common way the get a specific location(usually defined by an ee.Geometry.point) time series is by getRegion() function like follows:

info = l8_sr.getRegion(point, 30).getInfo()

I try to replace the point above with my study area defined by uploaded shapfile, but recived an exception indicates: Too many values: 42622 points x 10 bands x 685 images > 1048576, which seems that a maximum value limitation is set to 1048576 by getRegion function.

And i thought it may can be solved by getting the time series for one pixel and loop pixel by pixel until the whole image been accessed. But i still can't find a way to loop the pixels in image collecion. Am i supposed to use the code like this to loop the whole image?

for i in l8_sr:

ts = l8_sr.getRegion(i, 30).getInfo()

This has stuck me for few days, and i almost searched every possible information and still felt somewhat confused.

Any one get any idea? Any help would be greatly appreciated.

python google-earth-engine loop time-series

share

asked 4 mins ago

myzhenghrmyzhenghr

32

add a comment | 

0

I define an image collection contains all landsat SR images(LT5,LE7 and LC8) only including some specific bands each. Finally 685 images in path 120 and row 32, each contains 10 bands were selected.

path = 120

row = 32



start = ee.Date.fromYMD(1983, 1, 1)

finish = ee.Date.fromYMD(2019, 1, 1)



l8_bandlist = ee.List(['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'pixel_qa'])

rename_list = ee.List(['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'tbb', 'qa'])



l8_sr = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filter(

ee.Filter.eq('WRS_PATH', path)).filter(ee.Filter.eq('WRS_ROW', row)).filterDate(

    start, finish).select(l8_bandlist, rename_list).sort('system:time_start')

Which i want to do is to perform a pixel based algorithm to this whole image . I think i have to do it pixel by pixel, but i don't know the way the bands of an image as well as the images in a collection organized in GEE, which means i can't find a way to extract the pixel all band's times series and start the loop.

I tried a lot in searching this tyope of solution. The common way the get a specific location(usually defined by an ee.Geometry.point) time series is by getRegion() function like follows:

info = l8_sr.getRegion(point, 30).getInfo()

I try to replace the point above with my study area defined by uploaded shapfile, but recived an exception indicates: Too many values: 42622 points x 10 bands x 685 images > 1048576, which seems that a maximum value limitation is set to 1048576 by getRegion function.

And i thought it may can be solved by getting the time series for one pixel and loop pixel by pixel until the whole image been accessed. But i still can't find a way to loop the pixels in image collecion. Am i supposed to use the code like this to loop the whole image?

for i in l8_sr:

ts = l8_sr.getRegion(i, 30).getInfo()

This has stuck me for few days, and i almost searched every possible information and still felt somewhat confused.

Any one get any idea? Any help would be greatly appreciated.

python google-earth-engine loop time-series

share

asked 4 mins ago

myzhenghrmyzhenghr

32

add a comment | 

I define an image collection contains all landsat SR images(LT5,LE7 and LC8) only including some specific bands each. Finally 685 images in path 120 and row 32, each contains 10 bands were selected.

path = 120

row = 32



start = ee.Date.fromYMD(1983, 1, 1)

finish = ee.Date.fromYMD(2019, 1, 1)



l8_bandlist = ee.List(['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'pixel_qa'])

rename_list = ee.List(['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'tbb', 'qa'])



l8_sr = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filter(

ee.Filter.eq('WRS_PATH', path)).filter(ee.Filter.eq('WRS_ROW', row)).filterDate(

    start, finish).select(l8_bandlist, rename_list).sort('system:time_start')

Which i want to do is to perform a pixel based algorithm to this whole image . I think i have to do it pixel by pixel, but i don't know the way the bands of an image as well as the images in a collection organized in GEE, which means i can't find a way to extract the pixel all band's times series and start the loop.

I tried a lot in searching this tyope of solution. The common way the get a specific location(usually defined by an ee.Geometry.point) time series is by getRegion() function like follows:

info = l8_sr.getRegion(point, 30).getInfo()

I try to replace the point above with my study area defined by uploaded shapfile, but recived an exception indicates: Too many values: 42622 points x 10 bands x 685 images > 1048576, which seems that a maximum value limitation is set to 1048576 by getRegion function.

And i thought it may can be solved by getting the time series for one pixel and loop pixel by pixel until the whole image been accessed. But i still can't find a way to loop the pixels in image collecion. Am i supposed to use the code like this to loop the whole image?

for i in l8_sr:

ts = l8_sr.getRegion(i, 30).getInfo()

This has stuck me for few days, and i almost searched every possible information and still felt somewhat confused.

Any one get any idea? Any help would be greatly appreciated.

python google-earth-engine loop time-series

share

asked 4 mins ago

myzhenghrmyzhenghr

32

path = 120

row = 32



start = ee.Date.fromYMD(1983, 1, 1)

finish = ee.Date.fromYMD(2019, 1, 1)



l8_bandlist = ee.List(['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'pixel_qa'])

rename_list = ee.List(['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'tbb', 'qa'])



l8_sr = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filter(

ee.Filter.eq('WRS_PATH', path)).filter(ee.Filter.eq('WRS_ROW', row)).filterDate(

    start, finish).select(l8_bandlist, rename_list).sort('system:time_start')

info = l8_sr.getRegion(point, 30).getInfo()

for i in l8_sr:

ts = l8_sr.getRegion(i, 30).getInfo()

share

asked 4 mins ago

myzhenghrmyzhenghr

32

share

asked 4 mins ago

myzhenghrmyzhenghr

32

asked 4 mins ago

myzhenghrmyzhenghr

32

asked 4 mins ago

myzhenghrmyzhenghr

32