​ABoVE: Fractional Open Water Cover for Pan-Arctic and ABoVE-Domain Regions, 2002-2015

简介

该数据集提供了两个重叠区域的陆地表面分数开阔水域覆盖图：整个泛北极地区（纬度 >= 45 度）和横跨阿拉斯加和加拿大的北极-北方脆弱性实验 (ABoVE) 区域。数据表示 2002 年至 2015 年期间 10 天时间步长内 5 公里空间分辨率的分数水平均值。数据表示被开阔水域覆盖的网格单元的空中部分。数据是使用来自 EOS 高级微波扫描辐射计 (AMSR-E) 和高级微波扫描辐射计 2 (AMSR2) 的高频 (89 GHz) 亮度温度以及来自 AMSR-E/AMSR2 25 公里产品和中分辨率成像光谱仪 (MODIS) 的其他辅助输入生成的。由此产生的分数水数据记录适用于记录经历快速气候变化的北方-北极生态系统中的开阔水域模式和淹没动态。

与从卫星光学红外遥感获得的开放水域地图不同，分数水记录受益于对地表水的强微波亮度温度敏感性，以及对云层覆盖和大气气溶胶污染造成的潜在数据丢失的相对不敏感性，以及北极环境中普遍存在的低太阳照射条件。

摘要

Study Area: (All latitude and longitude given in decimal degrees)

Table 1. Class definitions for QA files

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="ABoVE_Frac_Open_Water_1362",
    cloud_hosted=True,
    bounding_box=(-180.0, 39.38, 180.0, 90.0),
    temporal=("2002-06-20", "2015-12-31"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Brodzik, M.J., B. Billingsley, T. Haran, B. Raup, and M.H. Savoie. 2014. Correction: Brodzik, M.J. et al. EASE-Grid 2.0: Incermental but Significant Improvements for Earth-Gridded Data Sets. ISPRS Int. J. Geo-Inform. 3: 1154-1156.

Carroll, M., J. Townshend, C. Dimiceli, P. Noojipady, and R. Sohlberg. 2009. A New Global Raster Water Mask at 250 Meter Resolution. Int. J. Digital Earth 2: 291-308.

Du, J., J.S. Kimball, J. Shi, et al. 2014. Inter-calibration of satellite passive microwave land observations from AMSR-E and AMSR2 using overlapping FY3B-MWRI sensor measurements. Remote Sensing 6: 8594-8616.

Du, J., J.S. Kimball, L.A. Jones, and J.D. Watts. 2016. Implementation of satellite based fractional water cover indices in the pan-Arctic region using AMSR-E and MODIS. Remote Sens. Environ. 85: 32-338.

Friedl, M.A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley, and X. Huang. 2006. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sens. Environ. 114: 168-182.

Jones, L.A., C.R. Ferguson, J.S. Kimball, K. Zhang, S.T.K. Chan, K.C. McDonald, E.G. Njoku, and E.F. Wood. 2010. Satellite microwave remote sensing of daily land surface temperature minima and maxima from AMSR-E. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 3: 111-123.

Jones, L.A., and J.S. Kimball. 2012. Daily Global Land Surface Parameters Derived from AMSR-E, Version 1, Boulder Colorado USA: National Snow and Ice Data Center. 2010. Digital media. http://dx.doi.org/10.5067/JIKQZ6WO5C5M.

Kirches, G., C. Brockmann, M. Boettcher, M. Peters, E. Bontemps et al. 2014. CCI-LC Product User Guide Version 2. Document Reference CCI-LC-PUG, 2014-19-02, 87.

Liao, A.P., L.J. Chen, J. Chen, C.Y. He, X. Cao, J. Chen, S. Peng, F.D. Sun, and P. Gong. 2014. High-resolution remote sensing mapping of global land water. Science China Earth Sci. 57: 2305-2316.

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