LBA-ECO CD-04 树木测量学,巴西塔帕若斯国家森林 83 公里塔楼遗址

举报
此星光明 发表于 2025/05/19 13:27:31 2025/05/19
【摘要】 ​LBA-ECO CD-04 Dendrometry, km 83 Tower Site, Tapajos National Forest, Brazil简介在实施减少影响的伐木管理制度后的四年里,在巴西帕拉州塔帕若斯国家森林 km83 处的伐木森林塔点进行了一项树木测量学研究。安装了树木测量带,以测量 km83 处涡流通量塔附近 18 公顷地块中 234 棵树的直径生长增量。除了伐木前在地...

LBA-ECO CD-04 Dendrometry, km 83 Tower Site, Tapajos National Forest, Brazil

简介

在实施减少影响的伐木管理制度后的四年里,在巴西帕拉州塔帕若斯国家森林 km83 处的伐木森林塔点进行了一项树木测量学研究。安装了树木测量带,以测量 km83 处涡流通量塔附近 18 公顷地块中 234 棵树的直径生长增量。除了伐木前在地块内随机选择进行测量的树木外,2002 年还在研究中加入了一组在伐木处理过程中留下的林隙内或附近的小直径树木。选择性伐木是亚马逊河流域的主要土地利用方式。要准确核算伐木对区域碳平衡的影响,需要更多关于伐木森林恢复生物量的速率的信息。此数据集有一个逗号分隔的数据文件。

摘要

Data are presented in one comma-separated ASCII file:
CD04_TNF_KM83_Dendrometer.csv

Missing data are assigned the value of -999.

Column Variable Units/format Variable description
1 GRID_BLOCK Block within 18 ha
 sample grid east of flux tower
2 FAMILY Tree family
3 SPECIES Tree species
4 COMMON_NAME Species local name
5 TAG_NUMBER Unique tree identification
6 XLOC m Distance along the east-west axis from the block origin, in meters
7 YLOC m Distance along the north-south axis from the block origin, in meters
8 DBH_2000 cm Initial diameter (cm) at breast height (1.3 meters). For trees on transects this was measured in March 2000. For trees in the gaps this was measured in March or April of 2002
9 DIAM_320 cm Diameter at breast height (1.3 m) on day 320 (day since 2000/01/01)
10 DIAM_xxx cm Diameter at breast height (1.3 m) on day xxx (day since 2000/01/01). Repeated
11 DIAM_1823 cm Diameter at breast height (1.3 m) on day 1823 (day since 2000/01/01)
Missing values are -999


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 83 Logged Forest Tower (Para Western (Santarem)) -54.9707 -54.9707 -3.017 -3.017 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/raw"
df = pd.read_csv(url, sep="\t")
df
 
leafmap.nasa_data_login()
 
 
results, gdf = leafmap.nasa_data_search(
    short_name="CD04_Dendrometry_989",
    cloud_hosted=True,
    bounding_box=(-54.97, -3.02, -54.89, -3.02),
    temporal=("2000-11-01", "2004-11-20"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Figueira, A.M.S., S.D. Miller, C.A.D. de Sousa, M.C. Menton, A.R. Maia, H.R. da Rocha, and M.L. Goulden. 2011. LBA-ECO CD-04 Dendrometry, km 83 Tower Site, Tapajos National Forest, Brazil. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

【声明】本内容来自华为云开发者社区博主,不代表华为云及华为云开发者社区的观点和立场。转载时必须标注文章的来源(华为云社区)、文章链接、文章作者等基本信息,否则作者和本社区有权追究责任。如果您发现本社区中有涉嫌抄袭的内容,欢迎发送邮件进行举报,并提供相关证据,一经查实,本社区将立刻删除涉嫌侵权内容,举报邮箱: cloudbbs@huaweicloud.com
  • 点赞
  • 收藏
  • 关注作者

评论(0

0/1000
抱歉,系统识别当前为高风险访问,暂不支持该操作

全部回复

上滑加载中

设置昵称

在此一键设置昵称,即可参与社区互动!

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。