LBA-ECO CD-02 Forest Canopy Structure, Tapajos National Forest, Brazil: 1999-2003
简介
本数据集报告了巴西帕拉州圣塔伦市以南 80 公里的塔帕若斯国家森林（TNF）内或附近的森林和牧场采集的叶面积指数（LAI）和比叶面积（SLA）测量数据。数据采集时间为 1999 年 10 月至 2003 年 6 月，采集地点为可通过 67 公里森林入口进入的塔台站点。本数据集包含 2 个逗号分隔的 ASCII 数据文件，以及 1 个提供站点描述的配套数据文件。
摘要
File #1: CD02_LAI_measurements_TNF.csv
Column Heading Units/format Description
1 Sample_date yyyy/mm/dd Sampling date (yyyy/mm/dd)
2 Site_ID Sampling site (see accompanying Study Site Description file)
3 File_ID LAI 2000 file identification
4 Height m Height at which the measurements were taken, reported in meters (m) above the ground
5 Orientation The direction the sensor was pointing during measurement 1 = north 2 = northwest 3 = west 4 = south 5 = southeast 6 = east
6 LAI m2/m2 Leaf area index measured using a LAI 2000
7 DIFN Diffuse non-interceptance, or visible fraction of the sky
8 MTA degrees Mean foliage tilt angle in degrees
Note: there are no missing values in this data file
File #2: CD02_SLA_measurements_TNF.csv
Column Heading Units/format Description
1 Sample_ID Sample identification number used for linking field measurements to lab analyses; sample IDs in some cases were repeated across sites
2 Sample_date yyyy/mm/dd Sampling date (yyyy/mm/dd)
3 Site_ID Site identification code
4 Latitude degrees Latitide in decimal degrees; negative values indicate south
5 Longitude degrees Longitude in decimal degrees; negative values indicate west
6 Season Season: Wet or Dry
7 Species Scientific name in the format Genus species, where determined, otherwise not provided
8 Common_name Local name, if recorded, otherwise not provided
9 Height m The distance in meters from the ground to the canopy where the leaf was collected
10 Functional_group Vegetation type (Liana, Tree, Sapling or Grass) Note sapling refers to any non-grass life form in the pasture and can include shrubs, young trees and/or young lianas
11 Position Canopy position (for forest sites only): Understory, Mid-canopy, Upper-canopy (top canopy layer), or not provided; for pasture site, canopy position is indicated as not applicable
12 Leaf_area m^2 Leaf area measured by tracing leaf contour on paper sheet while in the field. In the lab, areas were determined using NIH 1.63 software after scanning drawings
13 Leaf_weight g Leaf dry weight (in grams) after leaves were dried in 65C ovens for 48 hours
14 SLA m^2 g-1 Specific leaf area: the ratio of leaf area to its dry weight, reported as m^2 g-1
Missing numeric data values are indicated by -9999; missing character values are indicated as not provided.
Companion file: CD02_LAI_Forest_Site_Descriptions.csv
Column Heading Units/format Description
1 Site_ID Site Identification code
2 Site_description Study site description
3 Tower_height m Tower height in meters, if applicable; pasture site samples were not collected from the tower
4 Latitude degrees Site location latitude in decimal degrees; negative values indicate south
5 Longitude degrees Site location longitude in decimal degrees; negative values indicate west
6 In_LAI Indicates whether LAI was measured at this site
7 In_SLA Indicates whether SLA was measured at this site
Site boundaries: (All latitude and longitude given in decimal degrees)
Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Para Western (Santarem) - km 67 Primary Forest Tower Site (Para Western (Santarem)) -54.95900 -54.95900 -2.85700 -2.85700 World Geodetic System, 1984 (WGS-84)
Para Western (Santarem) - km 67 Seca-Floresta Tower (Para Western (Santarem)) -55.00000 -55.00000 -2.75000 -2.75000 World Geodetic System, 1984 (WGS-84)
Para Western (Santarem) - km 83 Logged Forest Tower (Para Western (Santarem)) -54.97070 -54.97070 - 3.01700 - 3.01700 World Geodetic System, 1984 (WGS-84)
Para Western (Santarem) - km 77 Pasture Tower Tower (Para Western (Santarem)) -54.88850 -54.88850 -3.02020 -3.02020 World Geodetic System, 1984 (WGS-84)
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="CD02_Forest_Canopy_Structure_1009",
cloud_hosted=True,
bounding_box=(-55.0, -3.02, 54.89, 2.75),
temporal=("1999-10-28", "2003-12-01"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
leafmap.nasa_data_download(results[:5], out_dir="data")
引用
Ehleringer, J., L.A. Martinelli and J.P. Ometto. 2011. LBA-ECO CD-02 Forest Canopy Structure, Tapajos National Forest, Brazil: 1999-2003. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.
