The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S.
NAIP projects are contracted each year based upon available funding and the imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, and a three-year cycle began in 2009.
NAIP imagery is acquired at a one-meter ground sample distance (GSD) with a horizontal accuracy that matches within six meters of photo-identifiable ground control points, which are used during image inspection.
Older images were collected using 3 bands (Red, Green, and Blue: RGB), but newer imagery is usually collected with an additional near-infrared band (RGBN). RGB asset ids begin with 'n_', NRG asset ids begin with 'c_', RGBN asset ids begin with 'm_'.
国家农业图像计划(NAIP)在美国大陆的农业生长季节获取航空图像。
NAIP项目每年根据可用资金和图像获取周期签订合同。从2003年开始,NAIP的获取周期为5年。2008年是一个过渡年,2009年开始了一个三年的周期。
NAIP图像是以一米的地面采样距离(GSD)获取的,其水平精度在6米范围内与照片上可识别的地面控制点相匹配,这些控制点在图像检查时使用。
较早的图像是用3个波段(红、绿、蓝:RGB)收集的,但较新的图像通常用一个额外的近红外波段(RGBN)收集。RGB资产ID以'n_'开头,NRG资产ID以'c_'开头,RGBN资产ID以'm_'开头。
Dataset Availability
2003-01-01T00:00:00 - 2019-01-01T00:00:00
Dataset Provider
USDA Farm Production and Conservation - Business Center, Geospatial Enterprise Operations
Collection Snippet
Copied
ee.ImageCollection("USDA/NAIP/DOQQ")
Resolution
1 meters
Bands Table
Name | Description | Units |
---|---|---|
R | Red | DN |
G | Green | DN |
B | Blue | DN |
N | Near infrared | DN |
使用说明:
Most information presented on the FSA Web site is considered public domain information. Public domain information may be freely distributed or copied, but use of appropriate byline/photo/image credits is requested. For more information visit the FSA Policies and Links website.
Users should acknowledge USDA Farm Production and Conservation - Business Center, Geospatial Enterprise Operations when using or distributing this data set.
代码:
var dataset = ee.ImageCollection('USDA/NAIP/DOQQ')
.filter(ee.Filter.date('2017-01-01', '2018-12-31'));
var trueColor = dataset.select(['R', 'G', 'B']);
var trueColorVis = {
min: 0.0,
max: 255.0,
};
Map.setCenter(-73.9958, 40.7278, 15);
Map.addLayer(trueColor, trueColorVis, 'True Color');