Google Earth Engine——Proba-V数据集包含：土地覆盖和植被生长，该传感器收集三个VNIR（可见光和近红外）波段和一个SWIR（短波红外）波段的数据，视场为2250公里。

Proba-V is a satellite mission tasked to map land cover and vegetation growth. It was designed to provide continuity for the VGT optical instrument from the SPOT-4 and SPOT-5 missions.

The sensor collects data in three VNIR (visible and near-infrared) bands and one SWIR (short-wave infrared) spectral band with a 2250km field of view. Global images are produced every 2 days at 300m resolution, and a 100m image from nadir observations every 5 days. These images are later composited to produce this daily synthesis dataset. The description of the compositing and atmospheric correction procedures can be found in the user manual.

The reflectances provided in this dataset are presented as Digital Count Numbers (DN) and must be converted according to the guidelines in Section 4.6.1 of the user manual.

Proba-V是一项卫星任务，负责绘制土地覆盖和植被生长图。它旨在为SPOT-4和SPOT-5任务中的VGT光学仪器提供延续性。

该传感器收集三个VNIR（可见光和近红外）波段和一个SWIR（短波红外）波段的数据，视场为2250公里。每2天产生300米分辨率的全球图像，每5天从天底观测产生100米图像。这些图像随后被合成，以产生这个每日综合数据集。关于合成和大气校正程序的描述可以在用户手册中找到。

该数据集提供的反射率以数字计数（DN）的形式呈现，必须根据用户手册第4.6.1节的指南进行转换。

Dataset Availability

2013-10-17T00:00:00 - 2021-09-18T00:00:00

Dataset Provider

Vito / ESA

Collection Snippet

Copied

ee.ImageCollection("VITO/PROBAV/C1/S1_TOC_100M")

Resolution

100 meters

Bands Table

影像属性：

使用说明：

PROBA-V 300m and 100m data are freely available for data older than 1 month.

Copyright ESA-BELSPO, produced by Vito

版本：

PROBA-V C1 Top Of Canopy Daily Synthesis 100m

代码：

var dataset = ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_100M')
                  .filter(ee.Filter.date('2018-03-01', '2018-04-01'));
var falseColor = dataset.select(['RED', 'NIR', 'BLUE']);
var falseColorVis = {
  min: 20.0,
  max: 2000.0,
};
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(falseColor, falseColorVis, 'False Color');

版本：

PROBA-V C1 Top Of Canopy Daily Synthesis 333m

代码：

var dataset = ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_333M')
                  .filter(ee.Filter.date('2018-03-01', '2018-04-01'));
var falseColor = dataset.select(['RED', 'NIR', 'BLUE']);
var falseColorVis = {
  min: 20.0,
  max: 2000.0,
};
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(falseColor, falseColorVis, 'False Color');