GEE dataset: ERA5 daily summary - the latest climate reanalysis dataset produced by ECMWF / Copernicus Climate Change Service
1. Data set introduction
ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
ERA5 daily summary - latest climate reanalysis produced by ECMWF / Copernicus Climate Change Service
ERA5 is the fifth generation ECMWF atmospheric reanalysis of global climate. Reanalysis combines model data wit ...
Added by buddhi225 on Sun, 20 Feb 2022 12:00:30 +0200
Gee series: Unit 5 remote sensing image preprocessing [GEE grid preprocessing]
Unit 5: grating pretreatment
1 Introduction
In this module, we will discuss the following concepts:
Understand the types of data correction commonly used in remote sensing images.How to intuitively compare the spatial data of different preprocessing levels in the same dataset.How to perform cloud masking and cloud masking assessm ...
Added by zarathu on Tue, 15 Feb 2022 03:13:33 +0200
GEE: Use of common masking functions in remote sensing image processing [updateMask]
For learning to be just and constant, for learning to be not just Sui Dynasty, and for learning to be constant, to retreat. Song. Feng Zixian
Preface
There are three masking-related functions in GEE, mask, updateMask and unmask. It is necessary to distinguish and master the usage of three masking functions.
1. mask() function
e ...
Added by FortMyersDrew on Fri, 11 Feb 2022 23:15:19 +0200
The use of reduceRegions for multiple band statistics in GEE learning
preface
How to make statistical analysis for multiple band values? You can use the reduceRegions function
Image.reduceRegions(collection, reducer, scale, crs, crsTransform, tileScale)
Apply the reducer on the area of each feature in a given set. The input number of reducer must be the same as the number of bands of the input image. Return t ...
Added by Vidya_tr on Mon, 31 Jan 2022 00:36:10 +0200