​ LBA-ECO CD-06 Water Balance of the Ji-Parana River Basin, Brazil: 1995-1996

简介

本数据集提供了巴西朗多尼亚州吉-帕拉纳河流域模拟的最小、平均和最大月降雨量、潜在蒸散量、缺水量和盈余量。Thornthwaite-Mather 气候模型集成到地理信息系统（GIS）中，用于模拟水通量，模型输入包括先进甚高分辨率雷达（AVHRR）图像的温度、流域内外水位计的降雨量、土壤剖面和土地覆盖图。模拟了吉-帕拉纳河流域从 1995 年 2 月到 1996 年 12 月的月水量平衡。

吉-帕拉纳子流域站还提供了流域总降雨量、流域流量和流域蒸散量的数据。这些数据用于检验水量平衡模型的结果。该数据集包含两个逗号分隔的数据文件。

摘要

File #1: CD06_Modeled_Water_Balance_JiParana.csv

Data description: Ji-Parana, Rondonia, Modeled Water Balance, February 1995 - December 1996

File #2: CD06_Water_Mass_Balance_Ji_Parana.csv

Data description: Water mass balance for 10 sub-basins on the Ji-Parana (Rondonia) basin for September 1995 to August 1996. This data was used to check the results of a simple water balance model based on Thorthwaite-Mather water balance, spatially distributed. This data is from Table 1 in the related paper (Victoria, D., et al. 2007).

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_Water_Balance_JiParana_1132",
    cloud_hosted=True,
    bounding_box=(-63.42, -12.93, -60.01, -8.03),
    temporal=("1995-10-01", "1996-08-31"),
    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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