💧🌏 Greg CocksMar 5
Predictability Of Earth’s Greenness [incl. spatial]
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https://doi.org/10.1016/j.isprsjprs.2026.02.038 <-- shared paper
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https://phys.org/news/2026-02-global-greening-earth-green-shifting.html <-- shared technical article
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https://www.vox.com/down-to-earth/2024/2/7/24057308/earth-global-greening-climate-change-carbon <-- shared technical media article
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https://doi.org/10.1038/s41893-019-0220-7 <-- shared (2019) paper
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#Earth #greenness #deeplearning #AI #usecase #productivity #vegetation #foliage #greening #forecasting #geomorphometry #vegetationindex #NDVI #GIS #spatial #mapping #earthobservation #remotesensing #spatialanalysis #spatiotemporal #satellite #global #landuse #landcover #management #biomass #agriculture #crops #environment #ecosystems #forestcover #sustainability #foodsecurity #soilmoisture #treecover #temperature #parameters #forest #forested #landmanagement #agronomic #irrigation #fertilisation #croprotation #pestcontrol #attentionmodel #metrics
💧🌏 Greg CocksMar 30, 2025
The Harmonized Landsat Sentinel-2 Project Releases Vegetation Indices
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https://www.earthdata.nasa.gov/news/harmonized-landsat-sentinel-2-project-releases-vegetation-indices <-- shared technical article
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https://hls.gsfc.nasa.gov/ <-- shared NASA Harmonized Landsat Sentinel-2 Project page
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https://youtu.be/63ljR84c85M?si=3Q0PDOuFgKG8nIrA <-- shared NASA overview video
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#GIS #spatial #mapping #fedscience #OPERA #remotesensing #earthobservation #satellite #opendata #global #vegetation #indices #HLS #Landsat #Sentinel #HLSL30VI #HLSSS30VI #greenness #moisturecontent #burned #change #OLI #MultiSpectral #NDVI
@nasa | @ESA
The Harmonized Landsat Sentinel-2 Project Releases Vegetation Indices | NASA Earthdata

This is a news item about the suite of vegetation indices released by the HLS project.

NASA Earthdata
LoiAug 13, 2024
Killarney National Park
#stream #forest #nature #hiking #naturephotography #water #greenness #mosquitoes
💧🌏 Greg CocksDec 28, 2023
Analyzing GOES-R ABI BRDF-Adjusted EVI2 Time Series By Comparing With VIIRS Observations Over The CONUS
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https://doi.org/10.1016/j.rse.2023.113972 <-- shared paper
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#GIS #spatial #mapping #remotesensing #satellite #vegetation #GOESR #GOES #VIIRS #CONUS #diurnal #ABI #earthobservation #terrestrial #ecology #environment #environmentalscience #imagery #EVI2 #adjustments #postprocessing #RTLSR #model #BRDF #GeoNEX #GOES16 #agriculture #landcover #corrections #monitoring #greenness #NLCD
Lazaro AlonsoDec 22, 2023
Today’s little piece is on how to do some basic cube #plotting. For this, I use some samples from @ClaireRobin et. al. work on how to #forecast #vegetation #greenness at fine resolution over Africa. DeepCube H2020 #visualization @makie Code: https://github.com/lazarusA/LittlePieces
GitHub - lazarusA/LittlePieces: Little pieces of code / Little pieces of...

Little pieces of code / Little pieces of... Contribute to lazarusA/LittlePieces development by creating an account on GitHub.

GitHub
Show threadIngmar LippertNov 24, 2023

@pvonhellermannn don’t trust the #privateSector with optimising for the environment. They can maximally be expected to optimise for selling #greenness. We have to expect, the private sector will ignore all environmental implications they can get away with, i.e. externalise as much as possible within any #internalisation project. #EnvironmentalEconomics

My @sts #STS take on #carbon in the #finance #industry is @bigdatasoc at https://doi.org/10.1177/2053951716673390

PhoenixSerenityMar 15, 2023

#Greenwashing isn’t exactly new, and it’s found in many #industries .

While many #sports organisations make declarations about their #greenness , the most scrutinised are those with the highest profiles: #FIFA ’s World Cup and the #Olympics . On #examination , it seems that some of the #claims made by the organisers of recent and upcoming events are #questionable, at least.

https://eandt.theiet.org/content/articles/2023/03/clean-up-your-act-greenwashing-in-sport/

#CorporateLies #CorporateGreed #ProSports #ExposeGreenwashers #StopTheGreenwash

Clean up your act: greenwashing in sport

Sports clubs and competitions around the world are making dubious claims about their environmental credentials. We ask why they’re doing this, and whether sports can become more eco-friendly.

Kimon KrenzJan 23, 2023

Delighted to share our publication on capturing #EnvironmentalExposure. We proposed a new method for linking the #BuiltEnvironment and #Health #Longitudinal using #GIS!

https://doi.org/10.3390/ijerph20031953

We measured #EnvironmentalExposure at the #IndividualLevel across various domains including #AirQuality, #RoadTraffic, #Greenness, #Greenspace, #PublicTransport, #FoodEnvrionment, #LandUse, #Walkability, #StreetCentrality/ #SpaceSyntax, #BuiltForm and #IndoorQualities.

@spacesyntax

Linking the Urban Environment and Health: An Innovative Methodology for Measuring Individual-Level Environmental Exposures

Environmental exposures (EE) are increasingly recognised as important determinants of health and well-being. Understanding the influences of EE on health is critical for effective policymaking, but better-quality spatial data is needed. This article outlines the theoretical and technical foundations used for the construction of individual-level environmental exposure measurements for the population of a northern English city, Bradford. The work supports ‘Connected Bradford’, an entire population database linking health, education, social care, environmental and other local government data over a period of forty years. We argue that our current understanding of environmental effects on health outcomes is limited both by methodological shortcomings in the quantification of the environment and by a lack of consistency in the measurement of built environment features. To address these shortcomings, we measure the environmental exposure for a series of different domains including air quality, greenspace and greenness, public transport, walkability, traffic, buildings and the built form, street centrality, land-use intensity, and food environments as well as indoor dwelling qualities. We utilise general practitioners’ historical patient information to identify the precise geolocation and duration of a person’s residence. We model a person’s local neighbourhood, and the probable routes to key urban functions aggregated across the city. We outline the specific geospatial procedure used to quantify the environmental exposure for each domain and use the example of exposure to fast-food outlets to illustrate the methodological challenges in the creation of city and nationwide environmental exposure databases. The proposed EE measures will enable critical research into the relationship and causal links between the built environment and health, informing planning and policy-making.

MDPI