​LBA-ECO ND-11 Regeneration in Undisturbed and Logged Forests, NW Mato Grosso, Brazil

摘要

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代码
!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify

import pandas as pd
import leafmap

url = "https://github.com/opengeos/NASA-Earth-Data"
df = pd.read_csv(url, sep="\t")
df

leafmap.nasa_data_login()

results, gdf = leafmap.nasa_data_search(
short_name="ND11_Regeneration_Succession_965",
cloud_hosted=True,
bounding_box=(-54.93, -3.27, -54.67, -3.13),
temporal=("2003-09-23", "2004-01-21"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)

gdf.explore()

leafmap.nasa_data_download(results[:5], out_dir="data")