Questions tagged [satellite-image]

Satellite imagery (also Earth observation imagery or spaceborne photography) are images of Earth or other planets collected by imaging satellites operated by governments and businesses around the world. Satellite imaging companies sell images by licensing them to governments and businesses such as Apple Maps and Google Maps.

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Get nearest pixel value from satellite image using latitude longitude coordinates

I have a satellite image file. Loaded into dask array. I want to get pixel value (nearest) of a latitude, longitude of interest. Satellite image is in GEOS projection. I have longitude and latitude information as 2D numpy arrays. Satellite Image…
Rex
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don' work prepSentinel with sentinel 1 data

I 'm new to using R...i'm trying to pre-process sentinel 1 data; I am using a packages getSpatialData (https://rdrr.io/github/16EAGLE/getSpatialData/man/getSpatialData-package.html). I downloaded the images and it works. But, when I try to use the…
mirkof21
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Adding metadata about layer names in a (Geo)Tiff file

Given a raster timeseries (satellite images within the same spatial extent each taken on a different date), how can I add the date as name for each layer/band in a (Geo)Tiff? Is it probably underspecified? Using R as an…
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Meaning of Tensorflow Object Detection API image_additional_channels

I would like to use the Tensorflow Object Detection API for multi-channel images (e.g., 4-channels RGB + infrared). There is a tutorial how to change the API to add additional channels. However, the tutorial was written a year ago and the API has…
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How to pass small cutout parts of a large image to train a CNN for object detection and localization(satellite images)

I am trying to implement object detection on satellite images. I have a annotated dataset, but the images are large and the model accepts only 416 x 416 size inputs. How can I pass small parts of the image in the network, ensuring that the…
vvv
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Nearest Neighbor or KD Tree with 2D Lat and Lon Python

What I am trying to do: What I want to do is have a function for nearest neighbor where the user provides the latitude and longitude arrays and a singular point. Within the function I do not mind applying a function from a different library (such as…
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Google Earth Engine: Finding the right image dimensions to get max resolution on satellite imagery

I am new to Google Earth Engine, and was trying to get Landsat imagery for the entire Democratic Republic of Congo. The project involves some computer vision and image segmentation, so I need to get the highest resolution possible. I have some code…
krishnab
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How to fix the reprojection from EASE-2 grid product SMAP to geographic coordinates?

I'm have been working with SMAP data satellite, specially for moisture and soil proporties. I follow the idea of use GDAL solve everything, and make something similar to this published in Link to first approach to download SMAP data Modifing the…
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mxnet for per-pixel image classification/regression

I am looking for best-practice or case studies using R's "mxnet" for the pixel-wise classification of multi-band imagery (RGB, mlutispectral/hyperspectral aerial or satellite remote sensing). Indeed there is bunch of best practise in image tagging…
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Memory Error while Using PIL, NUMpy,pywt for satellite images

I am getting a memory error. How to resolve my problem? It seems that satellite images take more memory. Which platform should I use for satellite images? from PIL import Image import numpy as np import pywt im = Image.open("......\B2.TIF")…
Joel
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gdal_translate 8bits (Byte format), how to handle nodata-values

I have a satellite image in GTiff with a range of 0 - 65535 which I need to convert to Byte format (0-255). using: gdal_translate [-a_nodata 0 and -scale 0 65535 0 255] -ot Byte infile.if outfile.tif This works fine but I get a lot of pixels…
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Satellite MenuItem set on rounded way in android

Here My satellteMenu Xml code
deep
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How to display several binary images with different colors in matlab?

i have more than 3 binary images extracted from satellite images, that shows different classes (e.g. pixels with value 1 is water and 0 non-water and it is true for other classes like soil etc ). i wonder is there any way to show this classes in one…
Ress
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Big Satellite Image Processing

Im trying to run Mort Canty's http://mcanty.homepage.t-online.de/ Python iMAD implementation on bitemporal RapidEye Multispectral images. Which basically calculates the canonical correlation for the two images and then substracts them. The problem…
JEquihua
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Error ruinning CMOD5.N function with python

i’m having trouble running the function cmod5n_inverse, i’ve inserted the parameters phi(wind direction-azimuth angle), and the incidence angle and sigma0 extracted from SNAP from a Sentinel-1 image, using linear regression.The function is supposed…
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