​LBA-ECO CD-06 Physical, Political, and Hydrologic Maps, Ji-Parana River Basin, Brazil

简介

该数据集包含巴西朗多尼亚州吉-巴拉那河流域的地理、水文、政治、人口和社会地图。这些数据被用作后续土地利用/土地覆盖、生物地球化学、土壤和水平衡过程调查的基础信息。

该数据集包含数字高程模型 (DEM)、河流网络和区域地貌特征（源自 DEM），以及一系列社会和人口矢量集（截至 2001 年的道路、县界、1970 年至 2000 年的人口变化以及定居点项目）。DEM 以 GeoTIFF 格式提供。其他文件以 Shapefile 格式提供。

摘要

1. county_limits.zip: limits of county borders in the Ji-Parana River Basin

• FID: Internal feature number; sequential unique whole numbers that are automatically generated
• Shape: Feature geometry
• AREA: Area of feature in internal units
• PERIMETER: Perimeter of feature in internal units
• MUNI_JIP: Record index
• MUNI_JIP_1: Municipality Identifier
• MUNICDV: Sub-Administrative zone
• NOMEMUNIC: Name of County

2. population.zip: population change per County from 1970 to 2000

• FID: Internal feature number; sequential unique whole numbers that are automatically generated
• Shape: Feature geometry
• AREA: Area of feature in internal units
• MUNICDV: Sub-Administrative zone
• Cnt_Municp: Undefined
• 1970: Population in 1970
• 1980: Population in 1980
• 1996: Population in 1996
• 2000: Population in 2000

3. river_network.zip: river network derived from 1:100,000 maps

• FID: Internal feature number; sequential unique whole numbers that are automatically generated
• Shape: Feature geometry
• LENGTH: Length of feature in internal units
• NOME: Name of river

4. urupa_river_network.zip: tributaries of the Urupa river

• FID: Internal feature number; sequential unique whole numbers that are automatically generated
• Shape: Feature geometry
• LENGTH: Length of feature in internal units
• NOME: Name of tributary

5. roads_2001.zip: 2001 road network in the Ji-Parana basin

• FID: Internal feature number; sequential unique whole numbers that are automatically generated
• Shape: Feature geometry
• LENGTH: Length of feature in internal units
• NOME: Highway number
• EST_01: Undefined
• EST_01_D: Undefined
• NOME_1:Highway number draft
• TIPO: Type of road, coded values
• TIPO_1: Type of road values for TIPO codes

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="CD06_Physical_Template_JiParana_1090",
    cloud_hosted=True,
    bounding_box=(-63.42, -12.93, -60.01, -8.03),
    temporal=("1970-01-01", "2001-12-31"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Ballester, M.V.R., D.D. Victoria, A.V. Krusche, R. Coburn, R.L. Victoria, J.E. Richey, M.G. Logsdon, E. Mayorga, and E. Matricardi. 2003. A remote sensing/GIS-based physical template to understand the biogeochemistry of the Ji-Parana River Basin (Western Amazonia). Remote Sensing of Environment 87(4): 429-445.