前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >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。

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。

作者头像
此星光明
发布2024-02-02 11:02:20
2100
发布2024-02-02 11:02:20
举报

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

Name

Description

Units

Wavelength

RED

Top of canopy reflectance RED channel

658nm, FWHM: 82nm

NIR

Top of canopy reflectance NIR channel

834nm, FWHM: 121nm

BLUE

Top of canopy reflectance BLUE channel

460nm, FWHM: 42nm

SWIR

Top of canopy reflectance SWIR channel

1610nm, FWHM: 89nm

NDVI

Normalized Difference Vegetation Index

SZA

Solar zenith angle

Degrees

SAA

Solar azimuth angle

Degrees

SWIRVAA

Viewing azimuth angles SWIR detector

Degrees

SWIRVZA

Viewing zenith angle SWIR detector

Degree

VNIRVAA

Viewing azimuth angle VNIR detector

Degrees

VNIRVZA

Viewing zenith angle VNIR detector

Degrees

SM

Quality / Information band.

SM Bitmask

Bits 0-2: Cloud/ice snow/shadow flag 0: Clear1: Shadow2: Undefined3: Cloud4: IceBit 3: Land/sea 0: Sea1: Land (pixels with this value may include areas of sea)Bit 4: Radiometric quality SWIR flag 0: Bad1: GoodBit 5: Radiometric quality NIR flag 0: Bad1: GoodBit 6: Radiometric quality RED flag 0: Bad1: GoodBit 7: Radiometric quality BLUE flag 0: Bad1: Good

TIME

Time elapsed since the start of image collection of this mosaic

Minutes

  • Bits 0-2: Cloud/ice snow/shadow flag
    • 0: Clear
    • 1: Shadow
    • 2: Undefined
    • 3: Cloud
    • 4: Ice
  • Bit 3: Land/sea
    • 0: Sea
    • 1: Land (pixels with this value may include areas of sea)
  • Bit 4: Radiometric quality SWIR flag
    • 0: Bad
    • 1: Good
  • Bit 5: Radiometric quality NIR flag
    • 0: Bad
    • 1: Good
  • Bit 6: Radiometric quality RED flag
    • 0: Bad
    • 1: Good
  • Bit 7: Radiometric quality BLUE flag
    • 0: Bad
    • 1: Good

TIMETime elapsed since the start of image collection of this mosaicMinutes

影像属性:

Name

Type

Description

ARCHIVING_DATE

String

Archiving date

CLOUD_COVER_PERCENTAGE

Double

Cloud cover percentage

LAND_PERCENTAGE

Double

Land percentage

MISSING_DATA_PERCENTAGE

Double

Missing data percentage

PROBAV_ATMCORR_SMAC_VERSION

String

Initial version of the atmospheric correction algorithm

PROBAV_CLOUDICESNOWDETECTION_VERSION

String

Initial version of the cloud and snow/ice detection algorithm

PROBAV_COMPOSITING_MVC_VERSION

String

Initial version of the MVC compositing algorithm

PROBAV_GEOMODELLING_VERSION

String

Initial version of the geometric modelling algorithm

PROBAV_MAPPING_VERSION

String

Initial version of the projection algorithm

PROBAV_MOSAIC_VERSION

String

Initial version of the mosaicking algorithm

PROBAV_RADIOMODELLING_VERSION

String

Initial version of the radiometric modelling algorithm

PROBAV_SHADOWDETECTION_VERSION

String

Initial version of the shadow detection algorithm

PRODUCT_VERSION

String

Product version

SNOW_COVER_PERCENTAGE

Double

Snow cover percentage

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:

代码语言:javascript
复制
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:

代码语言:javascript
复制
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');
本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。
原始发表:2024-02-01,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档