塔帕若斯国家森林 67 公里塔站 LBA-ECO CD-10 地面生物统计数据

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此星光明 发表于 2025/06/08 13:14:50 2025/06/08
【摘要】 ​LBA-ECO CD-10 Ground-based Biometry Data at km 67 Tower Site, Tapajos National Forest简介该数据集包含一个文本文件，报告了位于帕劳西部（圣塔伦）67 公里原始森林塔遗址的原始高地森林的生物统计测量数据。该遗址位于巴西中北部的塔帕若斯国家森林内。测量时间从 1999 年 7 月持续到 2005 年 3 月。为...

​LBA-ECO CD-10 Ground-based Biometry Data at km 67 Tower Site, Tapajos National Forest

简介

该数据集包含一个文本文件，报告了位于帕劳西部（圣塔伦）67 公里原始森林塔遗址的原始高地森林的生物统计测量数据。该遗址位于巴西中北部的塔帕若斯国家森林内。测量时间从 1999 年 7 月持续到 2005 年 3 月。为了监测树木的木质生长量，1999 年 12 月在 1000 棵树的子样本上放置了金属测树仪带（图 1）。该数据集包含基于大约每六周进行一次的卡尺测量得出的树木胸高直径（厘米）的估值。第一列数据表示树木识别号。有关生物统计研究的更详细描述，请参阅 Rice 等人的著作，2004 年。数据文件包含从 1999 年 7 月到 2005 年 3 月的 DBH（厘米）值的时间序列。


摘要

Data File Documentation:

Data Columns: Description

id: tree identification number

T: transect number

Tag: tree tag number

common.name: tree common species identification

family: botanical family

genus: botanical genus

spp: scientific species identification

x: x coordinate location

y: y coordinate location

ht: visually estimated height

Ni: initial variable for sample stratification (7/1999), see page S59 in Rice et al. 2004

Bi: initial variable for sample stratification (7/1999), see page s59 in Rice et al. 2004

Ai: initial variable for sample stratification (7/1999), see page s59 in Rice et al. 2004

DOYsince1999.196Column names are the Dendrometer Measurement dates in Julian days counting from 1/1/1999.

... The values reported are the Tree Diameter Measurement in centimeters.

DOYsince1999.489

...

DOYsince1999.2280

NAs in the data set are due to tree mortality.

Sample Data Record:

All of the biometry data are reported in lba_km67_dend_dbhs_filled_archive.txt.

id,T,Tag,common_name,family,genus,spp,x,y,ht,Ni,Bi,Ai,DOYsince1999.196,DOYsince1999.345,DOYsince1999.414,
DOYsince1999.445,DOYsince1999.489,DOYsince1999.551,DOYsince1999.592,DOYsince1999.634,
DOYsince1999.678,DOYsince1999.702,DOYsince1999.775,DOYsince1999.810,DOYsince1999.838,
DOYsince1999.873,DOYsince1999.914,DOYsince1999.950,DOYsince1999.992,DOYsince1999.1029,
DOYsince1999.1075,DOYsince1999.1103,DOYsince1999.1129,DOYsince1999.1159,DOYsince1999.1195,
DOYsince1999.1230,DOYsince1999.1271,DOYsince1999.1299,DOYsince1999.1327,DOYsince1999.1356,
DOYsince1999.1385,DOYsince1999.1412,DOYsince1999.1446,DOYsince1999.1481,DOYsince1999.1506,
DOYsince1999.1547,DOYsince1999.1581,DOYsince1999.1632,DOYsince1999.1657,DOYsince1999.1709,
DOYsince1999.1733,DOYsince1999.1762,DOYsince1999.1799,DOYsince1999.1825,DOYsince1999.1855,
DOYsince1999.1888,DOYsince1999.1982,DOYsince1999.2063,DOYsince1999.2099,DOYsince1999.2127,
DOYsince1999.2168,DOYsince1999.2197,DOYsince1999.2280


1004,1,4,mandioqueira rosa,Vochysiaceae,Qualea,dinizii,65,19,17,21,3,19.75,43.8,45.2,45.3,45.268,45.343,45.335,
45.35,45.387,45.39,45.388,45.391,45.394,45.399,.405,45.41,45.411,45.389,45.414,45.401,45.521,45.415,45.407,
45.425,45.412,45.395,45.399,.394,45.382,45.418,45.396,45.394,45.387,45.395,45.4,45.403,45.405,45.409,
45.406,45.403,45.379,45.412,45.414,45.416,45.42,45.446,45.415,45.428,45.424,45.407,45.383,45.415


1006,1,6,acariquara,Olacaceae,Minquartia,guianensis,75,13,20,3,2,19.75,43.8,44.7,44.5,44.469,44.508,44.483,44.526,
44.553,44.561,44.624,44.677,44.712,44.735,44.747,44.763,44.768,44.751,44.756,44.73,44.773,44.814,44.861,
44.913,44.939,44.98,44.966,44.98,45.001,45.015,45.047,45.113,45.134,45.154,45.236,45.286,45.318,45.328,
45.397,45.388,45.43,45.532,45.601,45.73,45.78,45.876,45.983,46.078,46.106,46.136,46.208,46.475


1007,1,7,quarubarana,Vochysiaceae,Erisma,uncinatum,74,19,46,44,44,19.75,106.8,106.2,106,106.121,106.302,
106.433,106.477,106.489,106.621,106.901,107.194,107.377,107.543,107.706,107.867,107.919,107.952,108.106,
108.31,108.483,108.648,108.718,108.794,108.976,109.241,109.262,109.3,109.301,109.34,109.487,109.595,
109.753,109.921,110.102,110.278,110.435,110.445,110.597,110.575,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA


...


4984,4,984,quarubarana,Vochysiaceae,Erisma,uncinatum,24,23,21,44,44,19.75,92.2,93.8,93.4,93.332,93.341,93.337,
93.345,93.483,93.463,93.372,93.433,93.397,93.371,93.375,93.375,93.374,93.363,93.355,93.368,93.369,93.376,
93.389,93.411,93.486,93.531,93.478,93.515,93.537,93.52,93.55,93.559,93.49,93.489,93.493,93.483,93.463,93.61,
93.505,93.491,93.543,93.503,93.514,93.515,93.517,93.521,93.52,93.606,93.562,93.521,93.462,93.494

**Line Breaks Added to Improve Readability

NAs in the data set are due to tree mortality.


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="CD10_Biometry_Tapajos_854",
    cloud_hosted=True,
    bounding_box=(-55.21, -4.05, -54.91, -2.84),
    temporal=("1999-07-01", "2005-03-31"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

​

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