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 LBA-ECO CD-34 Landsat Fractional Land Cover Analysis, Manaus, Brazil: 2004-2005

简介

该数据集提供了 2004 年 10 月 14 日和 2005 年 7 月 29 日的巴西马瑙斯两张 Landsat 图像中非光合植被 (NPV) 的土地覆盖分数分析结果。两幅图像均来自 Landsat 5，路径 231，行 62。2005 年 1 月 16 日至 18 日，马瑙斯地区经历了强烈的下击暴流和风暴线，导致大面积的倒塌和树木死亡。获取了干扰前后的 Landsat 图像并使用光谱混合分析 (SMA) 进行处理，以研究下击暴流造成的森林干扰和树木死亡。SMA 基于使用像素纯度指数 (PPI) 算法 (Negron-Juarez et al。，2010) 获得的场景衍生的绿色植被端元（GV，光合活性植被）、NPV（木材、死亡植被和地表凋落物）、土壤和阴凉处。通过从 2005 年 NPV 图像中减去 2004 年 NPV 图像，计算出因干扰导致的 NPV 变化。提供此 NPV 差异图像。

摘要

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="CD34_Amazon_Landsat_1176",
    cloud_hosted=True,
    bounding_box=(-75.4, -13.74, -51.31, -0.53),
    temporal=("2004-10-14", "2005-07-29"),
    count=-1,  # use -1 to return all datasets
    return_gdf=True,
)
 
 
gdf.explore()
 
#leafmap.nasa_data_download(results[:5], out_dir="data")

引用

Adams, J. B., et al. (1995), Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon, Remote Sens. Environ., 52, 137–154, doi:10.1016/0034- 4257(94)00098-8.

Carlotto, M. J. (1999), Reducing the effects of space-varying, wavelength-dependent scattering in multispectral imagery, Int. J. Remote Sens., 20, 3333–3344, doi:10.1080/014311699211363.

Chambers, J.Q., A.L. Robertson, V.M.C. Carneiro, A.J.N. Lima, M.L. Smith, L.C. Plourde, and N. Higuchi. 2009. Hyperspectral remote detection of niche partitioning among canopy trees driven by blowdown gap disturbances in the Central Amazon. Oecologia 160(1):107-117.

Negron-Juarez, R.I., J.Q. Chambers, G. Guimaraes, H.C. Zeng, C.F.M. Raupp, D.M. Marra, G.H.P.M. Ribeiro, S.S. Saatchi, B.W. Nelson, and N. Higuchi. 2010. Widespread Amazon forest tree mortality from a single cross-basin squall line event. Geophysical Research Letters 37, L16701, doi:10.1029/2010GL043733.

Souza, C. M., D. A. Roberts, and M. A. Cochrane (2005). Combining spectral and spatial information to map canopy damage from selective logging and forest fires, Remote Sens. Environ., 98, 329–343, doi:10.1016/j. rse.2005.07.013.