Fishing vessel presence, measured in hours per square km. Each asset is the vessel presence for a given flag state and day, with one band for the presence of each gear type.

See ​​sample Earth Engine scripts​​​. Also see ​​the main GFW site​​ for program information, fully interactive visualization maps, and impacts.

渔船的存在,以每平方公里小时衡量。每项资产是某一船旗国和某一天的渔船存在情况,每一种渔具类型的存在都有一个波段。

参见地球引擎脚本样本。也可参见GFW的主网站,了解项目信息、完全互动的可视化地图和影响。

Dataset Availability

2012-01-01T00:00:00 - 2017-01-01T00:00:00

Dataset Provider

​Global Fishing Watch​

Collection Snippet

​ee.ImageCollection("GFW/GFF/V1/vessel_hours")​

Resolution

0.01 degrees

Bands Table

Name

Description

Units

drifting_longlines

Hours per sq. km of fishing vessel presence with drifting longlines.

hours/sq. km

fixed_gear

Hours per sq. km of fishing vessel presence with fixed gear.

hours/sq. km

other_fishing

Hours per sq. km of fishing vessel presence with other gear types.

hours/sq. km

purse_seines

Hours per sq. km of fishing vessel presence with purse seines.

hours/sq. km

squid_jigger

Hours per sq. km of fishing vessel presence with squid jiggers.

hours/sq. km

trawlers

Hours per sq. km of fishing vessel presence with trawlers.

hours/sq. km

 影像属性

Name

Type

Description

country

String

ISO3 country code of the vessel flag state. For all countries, use “WLD”.

var dataset = ee.ImageCollection('GFW/GFF/V1/vessel_hours')
.filter(ee.Filter.date('2016-12-01', '2017-01-01'));
var trawlers = dataset.select('trawlers');
var trawlersVis = {
min: 0.0,
max: 5.0,
};
Map.setCenter(130.61, 34.287, 8);
Map.addLayer(trawlers.max(), trawlersVis, 'Trawlers');

Google Earth Engine ——全球渔船信息GFW/GFF/V1/vessel_hours数据集_船

 Google Earth Engine ——全球渔船信息GFW/GFF/V1/vessel_hours数据集_vessels_02

 Google Earth Engine ——全球渔船信息GFW/GFF/V1/vessel_hours数据集_全球_03

 Google Earth Engine ——全球渔船信息GFW/GFF/V1/vessel_hours数据集_船_04

使用说明:

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International license. (CC-BY-SA)

数据引用:

Global Fishing Watch, “Tracking the Global Footprint of Fisheries.” Science 361.6378 (2018).