GEE land classification - statistics of land classification areas in different years and area statistics of different land types in specified years based on CCDC classification results

Introduction

This tutorial uses the classified results of CCDC (land classification results in different years) and a band where the land type has changed to perform area statistics. In order to facilitate the area statistics of different regions, loops and charts are used here for area statistics and display. . Previous CCDC tutorials:

GEE (CCDC-3) - Perform land type change statistics and draw land cover change maps based on images segmented by CCDC segments - CSDN Blog

Land classification results may vary from year to year because land classification may change over time. However, these results can be arrived at by collecting land classification data from different years and statistically analyzing it. Statistical analysis can include calculating amounts, proportions or percentages for each land classification and comparing them to other years. This analysis can help understand trends in land use and change and inform land planning and management.

function

ee.Image.pixelArea()

Generate an image in which the value of each pixel is the area of that pixel in square meters. The returned image has a single band called "area."

Generates an image in which the value of each pixel is the area of ​​that pixel in square meters. The returned image has a single band called "area".

No arguments.

Returns: Image

ui.Chart.feature.groups(features, xProperty, yPr

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Origin blog.csdn.net/qq_31988139/article/details/135007347