robbibt

"""
This code demonstrates how to load Digital Earth Australia Sentinel-2 Analysis Ready Data into R.
It uses `rstac` to search for available data for a time and location using DEA's STAC endpoint,
and `gdalcubes` to load and analyse the data.

Functionality includes:
    * Creating a custom pixel grid to reproject data into
    * Apply a cloud mask using the "s2cloudless" cloud mask
    * Combine data into seasonal composites
    * Create an RGB animation

alexgleith

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# =====================================================
# define U-Net model architecture

def build_unet(img_shape):
    # input layer shape is equal to patch image size
    inputs = Input(shape=img_shape)

    # rescale images from (0, 255) to (0, 1)
    rescale = Rescaling(scale=1. / 255, input_shape=(img_height, img_width, img_channels))(inputs)
    previous_block_activation = rescale  # Set aside residual

mortcanty

hakimabdi

#############################################################################################
# title         : Perform a Mann-Kendall trend test of satellite image time series
# purpose       : Mann-Kendall test of monotonic trend and associated statistical significance
# author        : Abdulhakim Abdi (@HakimAbdi)
# input         : Raster stack/brick comprising a time series of observations
# output        : Raster object of monotoic trend (Kendall's tau), significance or both (i.e. brick) 
# data          : Test data: https://1drv.ms/u/s!AsHsKb_qtbkwg4ti8pJCxvUer9rMqg?e=BGcH1K
# notes         : Depending on the time series, it is might be useful prewhiten the data to remove serial correlation 
#               : prior to extracting the trend. See blog post on www.hakimabdi.com for more information. 
#############################################################################################

jhrcook

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erget

afig

Custom Badges

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rukku

Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

bmcbride

<?php
/**
 * PostGIS to GeoJSON
 * Query a PostGIS table or view and return the results in GeoJSON format, suitable for use in OpenLayers, Leaflet, etc.
 * 
 * @param 		string		$geotable		The PostGIS layer name *REQUIRED*
 * @param 		string		$geomfield		The PostGIS geometry field *REQUIRED*
 * @param 		string		$srid			The SRID of the returned GeoJSON *OPTIONAL (If omitted, EPSG: 4326 will be used)*
 * @param 		string 		$fields 		Fields to be returned *OPTIONAL (If omitted, all fields will be returned)* NOTE- Uppercase field names should be wrapped in double quotes
 * @param 		string		$parameters		SQL WHERE clause parameters *OPTIONAL*