Creating NDVI using Python, rasterio producing grey imageCalculating NDVI with Rasteriopython rasterio errorReading S3 Sentinel-2 image files with rasterioNDVI image processingUnable to create NDVI image using Python gdal packagebad results NDVI in rasterio with jp2 sentinel-2 bandsRasterio: tool for creating mosaic?Planet NDVI calculation: ModuleNotFoundError: No module named 'rasterio'Rasterio write_band output has no CRSNDVI Python image showing inverse
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Creating NDVI using Python, rasterio producing grey image
Calculating NDVI with Rasteriopython rasterio errorReading S3 Sentinel-2 image files with rasterioNDVI image processingUnable to create NDVI image using Python gdal packagebad results NDVI in rasterio with jp2 sentinel-2 bandsRasterio: tool for creating mosaic?Planet NDVI calculation: ModuleNotFoundError: No module named 'rasterio'Rasterio write_band output has no CRSNDVI Python image showing inverse
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
Using Sentinel data I am creating an NDVI image using the below Python code. The output is a grey image.
import rasterio
from rasterio import plot
import matplotlib.pyplot as plt
import numpy as np
import subprocess
import os
os.listdir('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/')
band4 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B04.jp2')
band5 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B08.jp2')
bandRed = band4.read(1)
print(os.getcwd())
resize = np.empty(shape=(1,5490*2,5490*2),dtype=np.uint16)
bandNIR = band5.read(1,out=resize)
bandRed = bandRed.astype('float32')
bandNIR = bandNIR.astype('float32')
ndvi = np.zeros(band4.shape, dtype=rasterio.float32)
ndvi_upper = bandNIR + bandRed
ndvi_lower = bandNIR - bandRed
ndvi = ndvi_lower / ndvi_upper
kwargs = band4.meta
kwargs.update(
dtype=rasterio.float32,
count=1,
compress='lzw')
ndviImage = rasterio.open('/Users/abc/ndviImage.tiff','w',driver='Gtiff',
width=band4.width,
height = band4.height,
count=1, crs=band4.crs,
transform=band4.transform,
dtype='float32')
ndviImage.write(ndvi,1)
python ndvi sentinel-2 rasterio
add a comment |
Using Sentinel data I am creating an NDVI image using the below Python code. The output is a grey image.
import rasterio
from rasterio import plot
import matplotlib.pyplot as plt
import numpy as np
import subprocess
import os
os.listdir('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/')
band4 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B04.jp2')
band5 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B08.jp2')
bandRed = band4.read(1)
print(os.getcwd())
resize = np.empty(shape=(1,5490*2,5490*2),dtype=np.uint16)
bandNIR = band5.read(1,out=resize)
bandRed = bandRed.astype('float32')
bandNIR = bandNIR.astype('float32')
ndvi = np.zeros(band4.shape, dtype=rasterio.float32)
ndvi_upper = bandNIR + bandRed
ndvi_lower = bandNIR - bandRed
ndvi = ndvi_lower / ndvi_upper
kwargs = band4.meta
kwargs.update(
dtype=rasterio.float32,
count=1,
compress='lzw')
ndviImage = rasterio.open('/Users/abc/ndviImage.tiff','w',driver='Gtiff',
width=band4.width,
height = band4.height,
count=1, crs=band4.crs,
transform=band4.transform,
dtype='float32')
ndviImage.write(ndvi,1)
python ndvi sentinel-2 rasterio
2
Why not? NDVI is just a single number, in your codendvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.
– user30184
Apr 2 at 12:03
add a comment |
Using Sentinel data I am creating an NDVI image using the below Python code. The output is a grey image.
import rasterio
from rasterio import plot
import matplotlib.pyplot as plt
import numpy as np
import subprocess
import os
os.listdir('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/')
band4 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B04.jp2')
band5 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B08.jp2')
bandRed = band4.read(1)
print(os.getcwd())
resize = np.empty(shape=(1,5490*2,5490*2),dtype=np.uint16)
bandNIR = band5.read(1,out=resize)
bandRed = bandRed.astype('float32')
bandNIR = bandNIR.astype('float32')
ndvi = np.zeros(band4.shape, dtype=rasterio.float32)
ndvi_upper = bandNIR + bandRed
ndvi_lower = bandNIR - bandRed
ndvi = ndvi_lower / ndvi_upper
kwargs = band4.meta
kwargs.update(
dtype=rasterio.float32,
count=1,
compress='lzw')
ndviImage = rasterio.open('/Users/abc/ndviImage.tiff','w',driver='Gtiff',
width=band4.width,
height = band4.height,
count=1, crs=band4.crs,
transform=band4.transform,
dtype='float32')
ndviImage.write(ndvi,1)
python ndvi sentinel-2 rasterio
Using Sentinel data I am creating an NDVI image using the below Python code. The output is a grey image.
import rasterio
from rasterio import plot
import matplotlib.pyplot as plt
import numpy as np
import subprocess
import os
os.listdir('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/')
band4 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B04.jp2')
band5 = rasterio.open('/Users/abc/S2B_MSIL1C_20190228T050739_N0207_R019_T43PGQ_20190228T085706.SAFE/GRANULE/L1C_T43PGQ_A010341_20190228T051623/IMG_DATA/T43PGQ_20190228T050739_B08.jp2')
bandRed = band4.read(1)
print(os.getcwd())
resize = np.empty(shape=(1,5490*2,5490*2),dtype=np.uint16)
bandNIR = band5.read(1,out=resize)
bandRed = bandRed.astype('float32')
bandNIR = bandNIR.astype('float32')
ndvi = np.zeros(band4.shape, dtype=rasterio.float32)
ndvi_upper = bandNIR + bandRed
ndvi_lower = bandNIR - bandRed
ndvi = ndvi_lower / ndvi_upper
kwargs = band4.meta
kwargs.update(
dtype=rasterio.float32,
count=1,
compress='lzw')
ndviImage = rasterio.open('/Users/abc/ndviImage.tiff','w',driver='Gtiff',
width=band4.width,
height = band4.height,
count=1, crs=band4.crs,
transform=band4.transform,
dtype='float32')
ndviImage.write(ndvi,1)
python ndvi sentinel-2 rasterio
python ndvi sentinel-2 rasterio
edited Apr 2 at 12:25
Vince
14.8k32849
14.8k32849
asked Apr 2 at 11:46
hck3rhck3r
213
213
2
Why not? NDVI is just a single number, in your codendvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.
– user30184
Apr 2 at 12:03
add a comment |
2
Why not? NDVI is just a single number, in your codendvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.
– user30184
Apr 2 at 12:03
2
2
Why not? NDVI is just a single number, in your code
ndvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.– user30184
Apr 2 at 12:03
Why not? NDVI is just a single number, in your code
ndvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.– user30184
Apr 2 at 12:03
add a comment |
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2
Why not? NDVI is just a single number, in your code
ndvi = ndvi_lower / ndvi_upper
. It is up to you to apply a color palette when you view the image.– user30184
Apr 2 at 12:03