简介

澳大利亚数字地球（DEA）水观测使用一种算法将大地遥感卫星图像中的每个像素分为 "湿"、"干 "或 "无效"。水观测统计提供的信息包括每年大地遥感卫星能够清晰观测到某一区域的次数、这些观测结果中潮湿的次数，以及这意味着在地貌中观测到水的时间百分比。

将分类像素合并成涵盖每年的摘要，就能得到通常有水和很少有水的地方的信息。由于没有对该产品进行置信度过滤，它受到输入的水分类中出现的误分类噪音的影响，很难单独进行解释。

如需了解更多信息：

https://cmi.ga.gov.au/data-products/dea/686/dea-water-observations-statistics-landsat

该产品是澳大利亚数字地球计划的一部分

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数据介绍 

Catalog Owner

Geoscience Australia

Dataset Availability

1987-01-01T00:00:00Z–2022-01-01T00:00:00Z

Dataset Provider

Geoscience Australia NGIS

Contact

https://www.ga.gov.au/contact-us

Earth Engine Snippet

ee.ImageCollection("projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3")

DEA Water Observations Statistics (Landsat)

Geoscience Australia Landsat Water Observation Statistics Collection 3

Version:

3.1.6 (Latest)

Product types:

Derivative, Raster

Time span:

1986 – Present

Update frequency:

Periodically

Product IDs:

ga_ls_wo_fq_apr_oct_3, ga_ls_wo_fq_nov_mar_3, ga_ls_wo_fq_cyear_3, ga_ls_wo_fq_myear_3

Resolution
25 meters

波段

* estimated min or max value 

代码

var water_obs = ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3');

var gray = 150;
var background = ee.Image.rgb(gray, gray, gray).visualize({ min: 0, max: 255 });

var visualization_frequency = {
  bands: ['frequency'],
  min: 0.0,
  max: 1.0,
  palette: ['ffffff', 'ffbbbb', '0000ff']
};

var point = ee.Geometry.Point([113.651455, -26.024137]);

var image = water_obs.filterBounds(point)
                     .filterDate('2010-01-01', '2011-01-01')
                     .first()
                     .visualize(visualization_frequency);
                     
Map.centerObject(image, 12);
var imageWithBackground = ee.ImageCollection([background, image]).mosaic();
Map.addLayer(imageWithBackground, {}, 'Water Frequency ratio');

 引用

• Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre, A., Tan, P., Curnow, S., & Ip, A. (2016). Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment, 174, 341-352 doi:10.1016/j.rse.2015.11.003

结果

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