ee.ImageCollection.aggregate_count_distinct

নির্বাচিত সম্পত্তির জন্য স্বতন্ত্র মানের সংখ্যা গণনা করে একটি সংগ্রহের বস্তুর প্রদত্ত সম্পত্তির উপর সমষ্টি।

ব্যবহার	রিটার্নস
ImageCollection. aggregate_count_distinct (property)	সংখ্যা

যুক্তি	টাইপ	বিস্তারিত
এই: collection	ফিচার কালেকশন	সংগ্রহ ওভার সমষ্টি.
property	স্ট্রিং	সংগ্রহের প্রতিটি উপাদান থেকে ব্যবহার করার জন্য সম্পত্তি।

উদাহরণ

কোড এডিটর (জাভাস্ক্রিপ্ট)

// A Lansat 8 TOA image collection for a specific year and location.
var col = ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA")
  .filterBounds(ee.Geometry.Point([-122.073, 37.188]))
  .filterDate('2018', '2019');

// An image property of interest, percent cloud cover in this case.
var prop = 'CLOUD_COVER';

// Use ee.ImageCollection.aggregate_* functions to fetch information about
// values of a selected property across all images in the collection. For
// example, produce a list of all values, get counts, and calculate statistics.
print('List of property values', col.aggregate_array(prop));
print('Count of property values', col.aggregate_count(prop));
print('Count of distinct property values', col.aggregate_count_distinct(prop));
print('First collection element property value', col.aggregate_first(prop));
print('Histogram of property values', col.aggregate_histogram(prop));
print('Min of property values', col.aggregate_min(prop));
print('Max of property values', col.aggregate_max(prop));

// The following methods are applicable to numerical properties only.
print('Mean of property values', col.aggregate_mean(prop));
print('Sum of property values', col.aggregate_sum(prop));
print('Product of property values', col.aggregate_product(prop));
print('Std dev (sample) of property values', col.aggregate_sample_sd(prop));
print('Variance (sample) of property values', col.aggregate_sample_var(prop));
print('Std dev (total) of property values', col.aggregate_total_sd(prop));
print('Variance (total) of property values', col.aggregate_total_var(prop));
print('Summary stats of property values', col.aggregate_stats(prop));

// Note that if the property is formatted as a string, min and max will
// respectively return the first and last values according to alphanumeric
// order of the property values.
var propString = 'LANDSAT_SCENE_ID';
print('List of property values (string)', col.aggregate_array(propString));
print('Min of property values (string)', col.aggregate_min(propString));
print('Max of property values (string)', col.aggregate_max(propString));

পাইথন সেটআপ

পাইথন এপিআই এবং ইন্টারেক্টিভ ডেভেলপমেন্টের জন্য geemap ব্যবহার করার জন্য পাইথন এনভায়রনমেন্ট পৃষ্ঠাটি দেখুন।

import ee
import geemap.core as geemap

Colab (পাইথন)

# A Lansat 8 TOA image collection for a specific year and location.
col = ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA").filterBounds(
    ee.Geometry.Point([-122.073, 37.188])).filterDate('2018', '2019')

# An image property of interest, percent cloud cover in this case.
prop = 'CLOUD_COVER'

# Use ee.ImageCollection.aggregate_* functions to fetch information about
# values of a selected property across all images in the collection. For
# example, produce a list of all values, get counts, and calculate statistics.
display('List of property values:', col.aggregate_array(prop))
display('Count of property values:', col.aggregate_count(prop))
display('Count of distinct property values:',
        col.aggregate_count_distinct(prop))
display('First collection element property value:', col.aggregate_first(prop))
display('Histogram of property values:', col.aggregate_histogram(prop))
display('Min of property values:', col.aggregate_min(prop))
display('Max of property values:', col.aggregate_max(prop))

# The following methods are applicable to numerical properties only.
display('Mean of property values:', col.aggregate_mean(prop))
display('Sum of property values:', col.aggregate_sum(prop))
display('Product of property values:', col.aggregate_product(prop))
display('Std dev (sample) of property values:', col.aggregate_sample_sd(prop))
display('Variance (sample) of property values:', col.aggregate_sample_var(prop))
display('Std dev (total) of property values:', col.aggregate_total_sd(prop))
display('Variance (total) of property values:', col.aggregate_total_var(prop))
display('Summary stats of property values:', col.aggregate_stats(prop))

# Note that if the property is formatted as a string, min and max will
# respectively return the first and last values according to alphanumeric
# order of the property values.
prop_string = 'LANDSAT_SCENE_ID'
display('List of property values (string):', col.aggregate_array(prop_string))
display('Min of property values (string):', col.aggregate_min(prop_string))
display('Max of property values (string):', col.aggregate_max(prop_string))