From 3356193253363288fa01a092029d3895e74c3304 Mon Sep 17 00:00:00 2001 From: Slesa Adhikari Date: Wed, 22 Nov 2023 11:34:02 -0600 Subject: [PATCH] Update text content based on review --- datasets/epa-ch4emission-v2express.data.mdx | 2 +- datasets/geoglam.data.mdx | 7 +++--- datasets/grdi-v1.data.mdx | 4 ++-- datasets/no2.data.mdx | 24 ++++++++++----------- 4 files changed, 18 insertions(+), 19 deletions(-) diff --git a/datasets/epa-ch4emission-v2express.data.mdx b/datasets/epa-ch4emission-v2express.data.mdx index e5b4bf6c0..f5364dc47 100644 --- a/datasets/epa-ch4emission-v2express.data.mdx +++ b/datasets/epa-ch4emission-v2express.data.mdx @@ -1,7 +1,7 @@ --- id: epa-ch4emission-yeargrid-v2express name: U.S. Gridded Anthropogenic Methane Emissions Inventory -description: Spatially disaggregated 0.1°x 0.1° maps of annual U.S. anthropogenic methane emissions, consistent with the U.S. Inventory of Greenhouse Gas Emissions and Sinks. +description: Spatially disaggregated 0.1°x 0.1° maps of annual U.S. anthropogenic methane emissions, consistent with the U.S. Inventory of Greenhouse Gas Emissions and Sinks media: src: ::file ./epa-annual--cover.jpg alt: Total Gridded Methane Emissions from the U.S. Inventory of Greenhouse Gas Emissions and Sinks diff --git a/datasets/geoglam.data.mdx b/datasets/geoglam.data.mdx index 9749b6056..0bcbb84ed 100644 --- a/datasets/geoglam.data.mdx +++ b/datasets/geoglam.data.mdx @@ -66,7 +66,7 @@ layers: - **Temporal Extent:** January 2020 - Ongoing - **Temporal Resolution:** Monthly - **Spatial Extent:** Global - - **Spatial Resolution:** 5 km x 5 km + - **Spatial Resolution:** 0.05 degrees x 0.05 degrees (~approx. 5 km) - **Data Units:** Crop condition classification: Exceptional, Favorable, Watch, Poor, Failure, Out of Season, No Data - **Data Type:** Operational @@ -90,8 +90,7 @@ layers: The Crop Monitor assessment is conducted by GEOGLAM with coordination from the University of Maryland. Inputs are from the following partners (in alphabetical order): Argentina (Buenos Aires Grains Exchange, INTA), Asia Rice Countries (AFSIS, ASEAN+3 & Asia RiCE), Australia (ABARES & CSIRO), Brazil (CONAB & INPE), Canada (AAFC), China (CAS), EU (EC JRC MARS), Indonesia (LAPAN & MOA), International (CIMMYT, FAO, IFPRI & IRRI), Japan (JAXA ), Mexico (SIAP), Russian Federation (IKI), South Africa (ARC & GeoTerraImage & SANSA), Thailand (GISTDA & OAE), Ukraine (NASU-NSAU & UHMC), USA (NASA, UMD, USGS – FEWS NET, USDA (FAS, NASS)), Viet nam (VAST & VIMHE-MARD). ## Dataset Preparation & Disclaimer - Learn more at the GEOGLAM website and in the below featured articles: - [https://cropmonitor.org/](https://cropmonitor.org/) + Learn more at the [GEOGLAM website](https://cropmonitor.org/) and in the below featured articles: Justice, C; Becker-Reshef, I; McGaughey, K; Hansen, M; Whitcraft, A; Barker, B.; Humber, M.; Deshayes, M., “Enhancing Agricultural Monitoring with EO-based Information” [http://www.apogeospatial.com/issues/AO_wi2015.pdf](http://www.apogeospatial.com/issues/AO_wi2015.pdf) @@ -101,6 +100,6 @@ layers: Map data sources: Major crop type areas based on the IFPRI/IIASA SPAM 2005 beta release (2013), USDA/NASS 2013 CDL, 2013 AAFC Annual Crop Inventory Map, GLAM/UMD, GLAD/UMD, Australian Land Use and Management Classification (Version 7), SIAP, ARC, and JRC. The GEOGLAM crop calendars are compiled with information from AAFC, ABARES, ARC, Asia RiCE, Bolsa de cereales, CONAB, INPE, JRC, FAO, FEWS NET, IKI, INTA, SIAP, UHMC, USDA FAS, and USDA NASS. - All data displayed in Earth.gov has been transformed from the original format into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)). Careful quality checks are used to ensure data transformation has been performed correctly. + All data displayed in Earth.gov has been transformed from the original format into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) and quality checked to ensure the data transformation has been performed correctly. diff --git a/datasets/grdi-v1.data.mdx b/datasets/grdi-v1.data.mdx index 3833d5b7b..a656e3090 100644 --- a/datasets/grdi-v1.data.mdx +++ b/datasets/grdi-v1.data.mdx @@ -218,7 +218,7 @@ layers: ## Data Summary - **Temporal Extent:** Input dimensions ranging from 2010 - 2020 - - **Temporal Resolution:** + - **Temporal Resolution:** n/a - **Spatial Extent:** Global - **Spatial Resolution:** 30 arc-second (~1 km x 1 km) - **Data Units:** relative level of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel represented as an index from 0 to 100 @@ -238,7 +238,7 @@ Funding for development and dissemination of this dataset was provided under the ## Dataset Preparation & Disclaimer -All data displayed in Earth.gov has been transformed from the original format (GeoTIFF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)). Careful quality checks are used to ensure data transformation has been performed correctly. +All data displayed in Earth.gov has been transformed from the original format (GeoTIFF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) and quality checked to ensure the data transformation has been performed correctly. diff --git a/datasets/no2.data.mdx b/datasets/no2.data.mdx index 63d6346e2..12fcb554a 100644 --- a/datasets/no2.data.mdx +++ b/datasets/no2.data.mdx @@ -1,7 +1,7 @@ --- id: no2 name: 'Recent Changes in Atmospheric Nitrogen Dioxide' -description: 'Since the outbreak of the novel coronavirus, atmospheric concentrations of nitrogen dioxide have changed by as much as 60% in some regions.' +description: 'Since the outbreak of the novel coronavirus, atmospheric concentrations of nitrogen dioxide have changed by as much as 60% in some regions' media: src: ::file ./no2--dataset-cover.jpg alt: Power plant shooting steam at the sky. @@ -23,7 +23,7 @@ layers: stacCol: no2-monthly name: Nitrogen Dioxide (NO₂) type: raster - description: 'Global monthly concentration of NO2 in the troposphere' + description: 'Global monthly concentration of NO₂ in the troposphere' zoomExtent: - 0 - 20 @@ -58,7 +58,7 @@ layers: stacCol: no2-monthly-diff name: Nitrogen Dioxide (NO₂) Difference type: raster - description: 'Change in global, monthly concentration of NO2 in the troposphere compared to the same month’s average from from 2015 - 2019' + description: 'Change in global, monthly concentration of NO₂ in the troposphere compared to the same month’s average from from 2015 - 2019' zoomExtent: - 0 - 20 @@ -92,17 +92,17 @@ layers: - Nitrogen dioxide (NO2) is a common air pollutant primarily emitted from the burning of fossil fuels in cars and power plants. Lower to the ground, nitrogen dioxide can directly irritate the lungs and contributes to the production of particulate pollution and smog when it reacts with sunlight. - During the COVID-19 pandemic, scientists have observed considerable decreases in nitrogen dioxide levels around the world. These decreases are predominantly associated with changing human behavior in response to the spread of COVID-19. As communities worldwide have implemented lockdown restrictions in an attempt to stem the spread of the virus, the reduction in human transportation activity has resulted in less NO2 being emitted into the atmosphere. These changes are particularly apparent over large urban areas and economic corridors, which typically have high levels of automobile traffic, airline flights, and other related activity. NASA has observed subsequent rebounds in nitrogen dioxide levels as the lockdown restrictions ease. - Presented here is a monthly record of NO2 in the troposphere, which is the lowest layer of the atmosphere most directly affected by human activity, as measured by the [Ozone Monitoring Instrument (OMI)](https://aura.gsfc.nasa.gov/omi.html) on NASA’s Aura satellite from January 2016 through September 2023. Also included is a monthly record showing the change in tropospheric NO2 from the selected month compared to an average of tropospheric NO2 for the same month from 2015 - 2019 (for example, difference in NO2 between October 2023 vs October 2015 - 2019 average). This difference highlights changes in NO2 from a baseline time frame of 2015 - 2019, just before the COVID-19 pandemic. + Nitrogen dioxide (NO₂) is a common air pollutant primarily emitted from the burning of fossil fuels in cars and power plants. Lower to the ground, nitrogen dioxide can directly irritate the lungs and contributes to the production of particulate pollution and smog when it reacts with sunlight. + During the COVID-19 pandemic, scientists have observed considerable decreases in nitrogen dioxide levels around the world. These decreases are predominantly associated with changing human behavior in response to the spread of COVID-19. As communities worldwide have implemented lockdown restrictions in an attempt to stem the spread of the virus, the reduction in human transportation activity has resulted in less NO₂ being emitted into the atmosphere. These changes are particularly apparent over large urban areas and economic corridors, which typically have high levels of automobile traffic, airline flights, and other related activity. NASA has observed subsequent rebounds in nitrogen dioxide levels as the lockdown restrictions ease.



+ Presented here is a monthly record of NO₂ in the troposphere, which is the lowest layer of the atmosphere most directly affected by human activity, as measured by the [Ozone Monitoring Instrument (OMI)](https://aura.gsfc.nasa.gov/omi.html) on NASA’s Aura satellite since January 2016. Also included is a monthly record from January 2015 showing the change in tropospheric NO₂ from the selected month compared to the average for the same month from 2015 - 2019 (for example, difference in NO₂ between October 2023 vs October 2015 - 2019 average). This difference highlights changes in NO₂ from a baseline time frame of 2015 - 2019, just before the COVID-19 pandemic. ## Data Summary - - **Temporal Extent:** January 2016 - Ongoing + - **Temporal Extent:** January 2015 - Ongoing - **Temporal Resolution:** Monthly - **Spatial Extent:** Global - **Spatial Resolution:** 0.1 degrees x 0.1 degrees - - **Data Units:** Molecules of nitrogen dioxide per square centimeter (Molecules NO2/cm2) + - **Data Units:** Molecules of nitrogen dioxide per square centimeter (Molecules NO₂/cm²) - **Data Type:** Research @@ -111,18 +111,18 @@ layers: ## Source Data Access - The monthly tropospheric NO2 data can be accessed here: + The monthly tropospheric NO₂ data can be accessed here: [https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI/V03/L3/OMNO2d_HR/OMNO2d_HRM/](https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI/V03/L3/OMNO2d_HR/OMNO2d_HRM/) {/* ## Acknowledgment Acknowledgement of the teams/organizations that contributed to the product. This can often be found in dataset documentation from source */} ## Dataset Preparation & Disclaimer - The monthly tropospheric NO2 and NO2 difference were created using this product: + The monthly tropospheric NO₂ and NO₂ difference were created using this product: - Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). [10.5067/Aura/OMI/DATA2017](https://doi.org/10.5067/Aura/OMI/DATA2017) + Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura Nitrogen Dioxide (NO₂) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). [10.5067/Aura/OMI/DATA2017](https://doi.org/10.5067/Aura/OMI/DATA2017) - All data displayed in Earth.gov has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)). Careful quality checks are used to ensure data transformation has been performed correctly. + All data displayed in Earth.gov has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) and quality checked to ensure the data transformation has been performed correctly.