白城市住房和城乡建设局原党委委员、副局长金鑫接受纪律审查和监察调查
百度 苏炳添认为，中国男子短跑的进步是水到渠成，也是理所应当的，否则也对不起国家的培养。
Field of study that gives computers the ability to learn without being explicitly programmed
109 questions
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Google Earth Engine random forest classifier error [closed]
I'm trying to train a random forest classifier to define land cover classes in a small area of the UK coast. I'm using multiple images throughout 2024 and stacking them into one image as a makeshift ...
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Finding output of Predict using AutoML in ArcGIS Pro
I am using the GeoAI toolset in ArcGIS Pro 3.4.
When I run Train Using autoML everything goes well. However, when I use the Predicting using AutoML tool, even though the software tells me that the ...
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Save training samples with the training samples manager to be able to edit them later while doing Image Classification in ArcGIS Pro 3.4.0
I made some training samples using the Training Samples manager, but didn't have time to draw polygons for one of my classes. I saved the schema to edit later, but the "generate from training ...
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43
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Extract multi-band values for each pixel in a raster file and store this data as a dataframe for machine learning training
Assuming there is a raster file that contains multiple bands, is there a simple way to extract the pixel value for each band and store this information in a dataframe for later use in machine learning ...
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Estimating surface level aqi from satellite data
I have been working with TROPOMI data (various pollutants: CO, SO?, NO?, O?, and CH?) in TIFF/CSV format for a particular city. I want to use this data to estimate surface-level AQI. However, I only ...
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"ArrayMemoryError: Unable to allocate 142 GiB for an array and data type float64" error when plotting map using geocube with Python
I am currently doing a project to predict forest fires using machine learning and to evaluate the model. I am using the following code:
df_SA = gpd.read_file("QNFF.shp") # my point shapefile ...
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126
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Artifacts when extracting Sentinel-2 images
I'm developing an application for water quality analysis using Sentinel-2 imagery in Google Earth Engine. I've encountered a persistent issue with artifacts appearing in the extracted images, which is ...
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How to add a spatial network in pytorch
I have been looking into machine and deeplearning models in the Geospatial field. Though I can find plenty of examples using sattelite imagery, I cannot find much relating to vector data.
What I would ...
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sampleRegions function returning an empty FeatureCollection
I first start by loading in Sentinel-2 data, filtering the date, and taking the median to produce a single image
COPERNICUS = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED")
start_date = '...
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Segmentation label/ masks for GIS data
I'm trying to create segmentation labels/masks using a terrain GIS dataset to locate some objects (like trees).
For the labels of trees, do I need to convert the geographical coordinates to pixel ...
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Random Forest error
I have tried a LULC classification using random forest algorithm in Google Earth Engine but error showing:
Layer error: Property 'B2' of feature '0' is missing.
My script code: http://code....
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Google Earth Engine Classification Collection Mode Frequency for pixel confidence/stability/agreement
I am trying to obtain the mode and the mode frequency per pixel of different iterations of a Random Forest Classifier (With a fixed number of trees but with different random seeds) with 5 classes (0 ...
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Using raster images as explanatory variables in regression model in python
I have yield data and multiple vegetation indices values in a tabulated form for multiple years. I applied machine learning regressors using the .csv file and tested the performance. The random forest ...
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Google Earth Engine wekaKMean classification
I am practicing on GEE for unsuperised classification. wekaKMean clusterer algorithum,, with this code...
var s2 = sentinal data set level 2a
var geometry = ------
var filtered = s2.filter(ee.Filter....
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Difference between two multiband Sentinel-2 images
So I was using ml4floods, a machine learning tool in python to detect flooded areas in satellite imagery. The input it takes is a 13 band Sentinel 2 (L1-C) image.
I ran the model on the Sentinel 2 ...
