世界上每个国家的灌溉和雨水灌溉区域

​

 GFSAD Landsat-Derived Global Rainfed and Irrigated-Cropland Product (LGRIP)∥。
Landsat-Derived Global Rainfed and Irrigated-Cropland Product（LGRIP）提供高分辨率的全球耕地数据，以协助和解决21世纪的粮食和水安全问题。作为全球粮食安全支持分析数据（GFSAD）项目的延伸，LGRIP通过将世界农田划分为灌溉和雨水灌溉农田来绘制世界农田图，并计算出世界上每个国家的灌溉和雨水灌溉面积。LGRIP数据是利用2014-2017年时间段的Landsat 8时间序列卫星传感器数据制作的，以形成2015年的名义产品。前言 – 床长人工智能教程

每个LGRIP 30米分辨率的GeoTIFF文件都包含一个图层，用于识别10°×10°区域内的雨养耕地（纯粹依赖直接降水的耕地区域）、灌溉耕地（作物生长期间至少有一次灌溉的耕地）、非耕地和水体，以及产品的精度评估。还提供了低分辨率的浏览图像。

这些数据集的编码如下，是对GFSAD GCEP30数据集的增强，该数据集不区分灌溉和雨水灌溉的耕地。你可以在这里找到数据集和下载链接https://lpdaac.usgs.gov/products/lgrip30v001/

Disclaimer: Parts or all of the dataset description is borrowed from existing description provided by authors.

免责声明：该数据集的部分或全部描述借用了作者提供的现有描述。

Citation¶

Teluguntla, P., Thenkabail, P., Oliphant, A., Gumma, M., Aneece, I., Foley, D., and Mccormick,
R. (2023). The GFSAD Landsat-derived Global Rainfed and Irrigated-Cropland Product at nominal 30m of the World (GFSADLGRIP30WORLD). NASA EOSDIS Land
Processes DAAC. IP148728. DOI: https://doi.org/10.5067/Community/LGRIP/LGRIP30.001

Earth Engine snippet¶

var lgrip30 = ee.ImageCollection("projects/sat-io/open-datasets/GFSAD/LGRIP30");
var countries = ee.FeatureCollection("FAO/GAUL/2015/level0"),
    lgrip30 = ee.ImageCollection("projects/sat-io/open-datasets/GFSAD/LGRIP30");


/*
Class Label	Name	Description
0	Ocean	Ocean and Water bodies
1	Non-croplands	Land with other land use
2	Irrigated croplands	Agricultural croplands that are irrigated
3	Rainfed croplands	Agricultural croplands that are rainfed
*/


var vis = {min:0,max:3,palette:["0050cb","d58855","c2d30c","379a4b"]}
Map.addLayer(lgrip30.mosaic().clip(countries),vis,'LGRIP30')

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LGRIP-30-CROPLAND-EXTENT

License¶

GFSAD LGRIP 30 data are freely available to the public (similar to a CC0 license) and are generated by leveraging other national programs including the Landsat satellite program.

Created by: U.S. Geological Survey Center for Earth Resources Observation and Science (EROS)

Curated by: Samapriya Roy

Keywords: Landsat, Global Food, Cropland Extent, GEE, USGS, EROS

Last updated in GEE: 2023-03-01

​