LBA-ECO CD-37 巴西朗多尼亚州次生林生物量和年龄等级

LBA-ECO CD-37 Secondary Forest Biomass and Age Class, Rondonia, Brazil

简介

该数据集提供了巴西朗多尼亚州次生林的林分年龄、森林形成和土地覆盖分类图，以及景观层面地上活木质生物量 (AGLB) 的估算值。阈值年龄制图算法 (TAMA) 应用于密集间隔时间序列的 Landsat 影像（1975 年至 2003 年），以推导出森林年龄。2003 年的森林类型和土地覆盖通过对三个日期的 Landsat 影像进行决策树分类来绘制。次生林的 AGLB 是通过将森林分类图与地球科学激光测高系统 (GLAS) 的同步生物量估算值相结合而估算出来的。

摘要

Column	Heading	Units/format	Description
1	New_obs		Internal observation number
2	Obs		Internal observation number
3	Elev_DEM	m amsl	Elevation in meters above mean sea level from the SRTM digital elevation model
4	Time		UTC Time of GLAS waveform collection
5	Latitude	degrees	Degrees Latitude for GLAS waveform location. Negative values indicate S and positive values N
6	Longitude	degrees	Degrees Longitude for GLAS waveform location. Negative values indicate W and positive values E
7	X_UTM		Sample coordinates in UTM
8	Y_UTM		Sample coordinates in UTM
9	Elev_GLAS	m amsl	Ground elevation in meters above mean sea level as estimated from GLAS waveform
10	Period		GLAS collection period
11	Age_2003	years	Age of forest in 2003 reported in years
12	Height	m amsl	Forest height in meters above mean sea level
13	Height_ver	m amsl	Forest height in meters above mean sea level calculated from GLAS waveform using a processing algorithm (Lefsky et al., 2007)
14	Biomass	Mg/ha	Biomass in megagrams per hectare (Mg/ha) calculated from forest height
15	Pixels		Number of pixels of secondary forest in surrounding 5x5 window

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="CD37_Biomass_Landsat_Glas_1145",
    cloud_hosted=True,
    bounding_box=(-64.39, -10.78, -62.89, -9.34),
    temporal=("1975-06-19", "2003-05-20"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Helmer, E.H., M.A. Lefsky, and D.A. Roberts. 2013. LBA-ECO CD-37 Secondary Forest Biomass and Age Class, Rondonia, Brazil. Data set. Available on-line [http://daac.ornl.gov ] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA