VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km

Dataset Availability

2012-01-19T00:00:00Z–2024-04-11T00:00:00Z

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Earth Engine Snippet

ee.ImageCollection("NOAA/VIIRS/001/VNP09GA")

Tags

daily nasa noaa npp reflectance sr viirs

vnp09ga

Description

The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~463 meter) and nine moderate-resolution bands (M1, M2, M3, M4, M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the L2 input product. These bands are corrected for atmospheric conditions to provide an estimate of the surface spectral reflectance as it would be measured at ground level.

The data is temporally aggregated over each of the 16 possible passes per day. When multiple observations are present for each day, only the first of the highest-quality observations is included.

For additional information, visit the VIIRS Land Product Quality Assessment website and see the User Guide.

Documentation:

• User's Guide

• Algorithm Theoretical Basis Document (ATBD)

Bands

Bands

Name	Units	Min	Max	Scale	Pixel Size	Wavelength	Description
M1		-100	16000	0.0001	1000 meters	0.402 - 0.422µm	1km surface reflectance band M1
M2		-100	16000	0.0001	1000 meters	0.436 - 0.454µm	1km surface reflectance Band M2
M3		-100	16000	0.0001	1000 meters	0.478 - 0.488µm	1km surface reflectance band M3
M4		-100	16000	0.0001	1000 meters	0.545 - 0.565µm	1km surface reflectance band M4
M5		-100	16000	0.0001	1000 meters	0.662 - 0.682µm	1km surface reflectance band M5
M7		-100	16000	0.0001	1000 meters	0.846 - 0.885µm	1km surface reflectance band M7
M8		-100	16000	0.0001	1000 meters	1.230 - 1.250µm	1km surface reflectance band M8
M10		-100	16000	0.0001	1000 meters	1.580 - 1.640µm	1km surface reflectance band M10
M11		-100	16000	0.0001	1000 meters	2.230 - 2.280µm	1km surface reflectance band M11
I1		-100	16000	0.0001	500 meters	0.600 - 0.680µm	500m surface reflectance band I1
I2		-100	16000	0.0001	500 meters	0.850 - 0.880µm	500m surface reflectance band I2
I3		-100	16000	0.0001	500 meters	1.580 - 1.640µm	500m surface reflectance band I3
SensorAzimuth	deg	-18000	18000	0.01	1000 meters		Sensor azimuth angle
SensorZenith	deg	0	18000	0.01	1000 meters		Sensor zenith angle
SolarAzimuth	deg	-18000	18000	0.01	1000 meters		Solar azimuth angle
SolarZenith	deg	0	18000	0.01	1000 meters		Solar zenith angle
iobs_res		0	254		500 meters		Observation number
num_observations_1km		0	127		1000 meters		Number of observations 1km
num_observations_500m		0	127		500 meters		Number of observations 500m
obscov_1km	%	0	100		1000 meters		Observations coverage 1km
obscov_500m	%	0	100		500 meters		Observations coverage 500km
orbit_pnt		0	15		1000 meters		Orbit pointer
QF1					1000 meters		Quality flags 1
Bitmask for QF1 Bits 0-1: Cloud mask quality 0: Poor 1: Low 2: Medium 3: High Bits 2-3: Cloud detection & confidence 0: Confident clear 1: Probably clear 2: Probably cloudy 3: Confident cloudy Bit 4: Day/night 0: Day 1: Night Bit 5: Low sun mask 0: High 1: Low Bits 6-7: Sun glint 0: None 1: Geometry based 2: Wind speed based 3: Geometry and wind speed based
QF2					1000 meters		Quality flags 2
Bitmask for QF2 Bits 0-2: Land/water background 0: Land & desert 1: Land no desert 2: Inland water 3: Sea water 4: 5: Coastal Bit 3: Shadow mask 0: No cloud shadow 1: Shadow Bit 4: Heavy aerosol mask 0: No heavy aerosol 1: Heavy aerosol Bit 5: Snow/ice 0: No snow/ice 1: Snow or ice Bit 6: Thin cirrus reflective 0: No cloud 1: Cloud Bit 7: This cirrus emissive 0: No cloud 1: Cloud
QF3					1000 meters		Quality flags 3
Bitmask for QF3 Bit 0: Bad M1 SDR data 0: No 1: Yes Bit 1: Bad M2 SDR data 0: No 1: Yes Bit 2: Bad M3 SDR data 0: No 1: Yes Bit 3: Bad M4 SDR data 0: No 1: Yes Bit 4: Bad M5 SDR data 0: No 1: Yes Bit 5: Bad M7 SDR data 0: No 1: Yes Bit 6: Bad M8 SDR data 0: No 1: Yes Bit 7: Bad M10 SDR data 0: No 1: Yes
QF4					1000 meters		Quality flags 4
Bitmask for QF4 Bit 0: Bad M11 SDR data 0: No 1: Yes Bit 1: Bad I1 SDR data 0: No 1: Yes Bit 2: Bad I2 SDR data 0: No 1: Yes Bit 3: Bad I3 SDR data 0: No 1: Yes Bit 4: Overall quality of AOT 0: Good 1: Bad Bit 5: Missing AOT input data 0: No 1: Yes Bit 6: Invalid land AM input data 0: Valid 1: Invalid AM input over land or over ocean Bit 7: Missing PW input data 0: No 1: Yes
QF5					1000 meters		Quality flags 5
Bitmask for QF5 Bit 0: Missing ozone input data 0: No 1: Yes Bit 1: Missing surface pressure input data 0: No 1: Yes Bit 2: Overall quality M1 surface reflection data 0: Good 1: Bad Bit 3: Overall quality M2 surface reflection data 0: Good 1: Bad Bit 4: Overall quality M3 surface reflection data 0: Good 1: Bad Bit 5: Overall quality M4 surface reflection data 0: Good 1: Bad Bit 6: Overall quality M5 surface reflection data 0: Good 1: Bad Bit 7: Overall quality M7 surface reflection data 0: Good 1: Bad
QF6					1000 meters		Quality flags 6
Bitmask for QF6 Bit 0: Overall quality M8 surface reflection data 0: Good 1: Bad Bit 1: Overall quality M10 surface reflection data 0: Good 1: Bad Bit 2: Overall quality M11 surface reflection data 0: Good 1: Bad Bit 3: Overall quality I1 surface reflection data 0: Good 1: Bad Bit 4: Overall quality I2 surface reflection data 0: Good 1: Bad Bit 5: Overall quality I3 surface reflection data 0: Good 1: Bad
QF7					1000 meters		Quality flags 7
Bitmask for QF7 Bit 0: Snow present 0: No 1: Yes Bit 1: Adjacent to cloud 0: No 1: Yes Bits 2-3: Aerosol quantity 0: Climatology 1: Low 2: Average 3: High Bit 4: Thin cirrus flag 0: No 1: Yes

Terms of Use

Terms of Use

LP DAAC NASA data are freely accessible; however, when an author publishes these data or works based on the data, it is requested that the author cite the datasets within the text of the publication and include a reference to them in the reference list.

Citations

Citations:

• Please visit LP DAAC 'Citing Our Data' page

DOIs

• https://doi.org/10.5067/VIIRS/VNP09GA.001

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('NOAA/VIIRS/001/VNP09GA')
                  .filter(ee.Filter.date('2017-05-01', '2017-05-31'));
var rgb = dataset.select(['M5', 'M4', 'M3']);
var rgbVis = {
  min: 0.0,
  max: 3000.0,
};
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(rgb, rgbVis, 'RGB');

Open in Code Editor

VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km

The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VNP09GA) product provides an estimate of land surface reflectance from the Suomi National Polar-Orbiting Partnership (S-NPP) VIIRS sensor. Data are provided for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~463 meter) and nine moderate-resolution bands (M1, …

NOAA/VIIRS/001/VNP09GA, daily,nasa,noaa,npp,reflectance,sr,viirs

2012-01-19T00:00:00Z/2024-04-11T00:00:00Z

Google Earth Engine

https://developers.google.com/earth-engine/datasets

• https://doi.org/10.5067/VIIRS/VNP09GA.001