F45a LandTrendr Links and info

Import libraries¶

In [ ]:

import ee
import geemap

import ee import geemap

Create an interactive map¶

In [ ]:

Map = geemap.Map(center=[40, -100], zoom=4)

Map = geemap.Map(center=[40, -100], zoom=4)

Add Earth Engine Python script¶

In [ ]:

# Add Earth Engine dataset
image = ee.Image("USGS/SRTMGL1_003")

#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#  Chapter:      F4.5 Interpreting Annual Time Series with LandTrendr
#  Checkpoint:   F45a
#  Authors:      Robert Kennedy, Justin Braaten, Peter Clary
#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


# the interface used in this chapter can be seen at the following link:

# https:#code.earthengine.google.com/?accept_repo=users%2Femaprlab%2Fpublic&scriptPath=users%2Femaprlab%2Fpublic%3ALT-data-download%2FLT-Data-Visualization-Download-App

# Enter that link above into your browser, and you should see the interface described in the book.


# for more advanced work, you could  dig into the script-based
# application of these same concepts by exploring the more
# expansive set of manuals on the https:#emapr.github.io/LT-GEE/site.


#  -----------------------------------------------------------------------
#  CHECKPOINT
#  -----------------------------------------------------------------------

# Add Earth Engine dataset image = ee.Image("USGS/SRTMGL1_003") # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Chapter: F4.5 Interpreting Annual Time Series with LandTrendr # Checkpoint: F45a # Authors: Robert Kennedy, Justin Braaten, Peter Clary # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # the interface used in this chapter can be seen at the following link: # https:#code.earthengine.google.com/?accept_repo=users%2Femaprlab%2Fpublic&scriptPath=users%2Femaprlab%2Fpublic%3ALT-data-download%2FLT-Data-Visualization-Download-App # Enter that link above into your browser, and you should see the interface described in the book. # for more advanced work, you could dig into the script-based # application of these same concepts by exploring the more # expansive set of manuals on the https:#emapr.github.io/LT-GEE/site. # ----------------------------------------------------------------------- # CHECKPOINT # -----------------------------------------------------------------------

Display the interactive map¶

In [ ]:

Map

Map