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
