Google Earth Engine——PROBA-V C1 Top Of Canopy Daily Synthesis 100m/333m数据集

此星光明

发布于 2024-02-02 11:01:34

1730

发布于 2024-02-02 11:01:34

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

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.

版本：PROBA-V C1 Top Of Canopy Daily Synthesis 100m

代码：

var dataset = ee.ImageCollection('VITO/PROBAV/S1_TOC_100M');

var visualization = {
  bands: ['RED', 'NIR', 'BLUE'],
  min: 20.0,
  max: 2000.0,
};

Map.setCenter(17.93, 7.71, 2);

Map.addLayer(dataset, visualization, 'False Color');

版本：VITO/PROBAV/S1_TOC_333M

代码：

var dataset = ee.ImageCollection('VITO/PROBAV/S1_TOC_333M');

var visualization = {
  bands: ['RED', 'NIR', 'BLUE'],
  min: 20.0,
  max: 2000.0,
};

Map.setCenter(17.93, 7.71, 2);

Map.addLayer(dataset, visualization, '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

string