全球栖息地异质性
这些数据集包含14个指标，根据中分辨率成像分光仪（MODIS）获取的增强植被指数（EVI）图像的纹理特征，以多种分辨率量化全球生境的空间异质性。关于这些指标的更多信息以及对其在生物多样性建模中的效用的评价。该数据集以1公里、5公里和25公里的分辨率生成，这里只列出了1公里的资产，只需根据需要用_5公里和_25公里替换_1公里。
Paper Citation¶
Tuanmu, M.-N. and W. Jetz. (2015) A global, remote sensing-based characterization of terrestrial habitat heterogeneity
for biodiversity and ecosystem modeling. Global Ecology and Biogeography. DOI: 10.1111/geb.12365.
Earth Engine Snippet
var cov = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_1km");
var contrast = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_1km");
var corr = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_1km");
var dissimilarity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_1km");
var entropy = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_1km");
var homogeneity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_1km");
var maximum = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_1km");
var mean = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_1km");
var pielou = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_1km");
var range = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/range_1km");
var shannon = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_1km");
var simpson = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_1km");
var sd = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_1km");
var uniformity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_1km");
var variance = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_1km");
License¶
Global Habitat Heterogeneity Metrics Version 1 by Tuanmu & Jetz is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Permissions beyond the scope of this license may be available at Global 1-km Consensus Land Cover - EarthEnv.
Dataset Citation¶
Tuanmu, M.-N. and W. Jetz. (2015) A global, remote sensing-based characterization of terrestrial habitat heterogeneity
for biodiversity and ecosystem modeling. Global Ecology and Biogeography. DOI: 10.1111/geb.12365.
Project Website: Global 1-km Consensus Land Cover - EarthEnv
App Website: App link here
Curated by: Samapriya Roy
Keywords: Earthenv, habitat heterogeneity, shannon, simpson, pielou, dissimilarity, homogeneity, variance, contrast
Last updated: 2021-05-09