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#cropland — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cropland, aggregated by home.social.

  1. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  2. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  3. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  4. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #workflow #waterresources #wateruse #cropland #farming #espa
  5. 💧🌏 Greg Cocks @GregCocks ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."

    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  6. 💧🌏 Greg Cocks @[email protected] ·

    Can Himalayan Crops Help Secure The Future Of Food?
    (Exploring how genomic diversity, traditional crops, and regional cooperation can strengthen climate resilience and food security across the Hindu Kush Himalaya [HKH])
    --
    substack.com/home/post/p-20744 <-- shared technical post
    --
    openlibrary.substack.com/ <-- shared Substack, “Open Library on Green Economy”
    --
    adaptationwithoutborders.org/k <-- shared technical article, “Shifting cooperation in the [HKH]”
    --
    icimod.org/who-we-are/the-hind <-- background on the HKH, International Centre for Integrated Mountain Development (ICIMOD)
    --
    doi.org/10.48130/cas-0026-0003 <-- shared paper
    --
    [not at all my technical area - but fascinating, including the spatial component #alldataisspatial]
    H/T @jeevan Labh
    “As we navigate the intensifying impacts of the 2026 El Niño, the vulnerability of our global food systems require careful evaluation. With this year’s erratic weather patterns driving severe, prolonged droughts in some regions and unseasonal, devastating floods in others, the climate crisis is proving that it is not a distant threat; it is happening right now, in our fields and on our plates.
    This crisis is more visible in the Hindu Kush Himalaya (HKH) region. Often called the “water tower of Asia,” this vast mountain range sustains 240 million people across eight countries and provides essential ecosystem services to nearly 2 billion people downstream. When glaciers melt at accelerated rates and monsoons become unpredictable, the narrative often focuses solely on the mountain communities. But the truth is much broader: a disrupted harvest in the high hills of Nepal or Bhutan creates a domino effect. It leads to displaced populations, reduced agricultural output flowing into the Indus, Ganges, and Brahmaputra basins, and ultimately, skyrocketing food prices for families living in the sprawling downstream plains.
    The climate crisis respects no borders and recognizes no difference between altitude and sea level. Because this problem affects us all, the solution must protect us all. Fortunately, the means to overcome this challenge are already in our hands, locked within the ancient seeds of the mountains…”
    ## #GreenEconomy #economy #monoculture #agriculture #farming #crop #cropland #HinduKushHimalaya #himalaya #mountain #HKH #spatial #mapping #elevation #climatechange #foodsecurity #food #extremeweather #weather #ElNiño #drought #rainfall #precipitation #snowmelt #climatecrisis #mountainrange #water #hydrology #ecosystem #glacier #moonsoons #community #harvest #Nepal #Bhutan #watersheds #watersecurity #risk #hazard #waterresources #genes #genomicdiversity #cooperation

    #alldataisspatial #greeneconomy #economy #monoculture #agriculture #farming
  7. 💧🌏 Greg Cocks @[email protected] ·

    GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
    --
    doi.org/10.21203/rs.3.rs-10085 <-- shared paper
    --
    zenodo.org/records/17627111 <-- shared open data
    --
    H/T @kyle Davis
    “Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
    #IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
    @FAO - Food and Agriculture Organization

    #irrigatedareas #mapping #gis #spatial #spatialanalysis #spatiotemporal
  8. 💧🌏 Greg Cocks @[email protected] ·

    Thirty Years Of The U.S. National Land Cover Database [NLCD] - Impacts And Future Direction
    --
    doi.org/10.14358/PERS.25-00121 <-- shared paper
    --
    usgs.gov/centers/eros/science/ <-- shared #USGS Annual National Land Cover Database (open data)
    --
    usgs.gov/centers/eros/science/ <-- get the open NLCD data
    --
    #GIS #spatial #mapping #history #continuity #improvement #LandCover #Landuse #change #Landsat #NLCD #NationalLandCoverDatabase #earthobservation #remotesensing #landchange #monitoring #fedscience #publicgood #fedopendata #opendata #history #fedservice #MRLCC #USA #download #impervious #surface #forestcanopy #mosaics #accuracy #deeplearning #AI #research #landmanagement #agriculture #water #hydrology #cropland #biodiversity #conservation #urban #planning #publichealth #naturalhazard #assesment #risk #hazard #mitigation #national #nation #multiple #usecase
    #USGS | #EROS

    #usgs #gis #spatial #mapping #history #continuity
  9. 💧🌏 Greg Cocks @[email protected] ·

    Hydrogeologic Investigation, Framework, And Conceptual Flow Model Of The Antlers Aquifer, Southeastern Oklahoma, 1980–2022
    --
    doi.org/10.3133/sir20255013 <-- shared USGS publication
    --
    waterdata.usgs.gov/nwis <-- shared USGS National Water Information System (NWIS) database
    --
    doi.org/10.5066/P14C6QFS <-- shared associated USGS open data release
    --
    #GIS #spatial #mapping #fedscience #water #hydrology #wateresources #pump #pumping #groundwater #AntlersAquifer #aquifer #Oklahoma #model #flow #test #flowmodel #yield #wateruse #watersecurity #climate #weather #recharge #precipitation #rainfall #TDS #waterquality #ions #potentiometric #geology #monitoring #planning #regulatory #agriculture #farming #cropland #spatialanalysis #spatiotemporal #fedscience
    @USGS

    #gis #spatial #mapping #fedscience #water #hydrology
  10. DoomsdaysCW @[email protected] ·

    While feral domesticated cats are a big problem in a lot of places (including NYC) and need vigorous #TNVR / #TNR or relocation, #WildFelines need to be protected!

    In #Brazil, #conservationists try to save one of the world’s most #endangered #cats

    by Sarah Brown on 13 June 2024

    via @mongabay

    "- #Muñoa’s #Pampas cat, a small wild feline, is endemic to the Pampas grasslands that sprawl over southern Brazil, #Uruguay and northeastern #Argentina.

    "- With fewer than 100 individuals left in the wild, experts call Muñoa’s pampas cat one of the most endangered felines in the world and warn it go extinct within 10 years as its natural habitat is cleared for #cropland.

    - #Conservation plans to save the species include switching from #monocultures to extensive ranching that preserves the natural #grasslands, creating a #captivebreeding program, and developing a trinational conservation agreement.

    "- Recent #floods in the Brazilian state of #RioGrandeDoSul, where many Muñoa’s Pampas cat sightings have been recorded, have currently halted all local #conservation efforts, putting the future of this feline at risk."

    Read more:
    news.mongabay.com/2024/06/in-b

    #EndangeredSpecies #SouthAmerica #ConservationEfforts #Biodiversity

    #tnvr #wildfelines #brazil #conservationists #endangered #cats
  11. 💧🌏 Greg Cocks @[email protected] ·

    New Water Accounting Reveals Why The Colorado River No Longer Reaches The Sea
    --
    doi.org/10.1038/s43247-024-012 <-- shared paper
    --
    #GIS #spatial #mapping #ColoradoRiver #ColoradoRiverBasin #CRB #USA #waterresources #USWest #irrigation #crops #feed #grass #hay #alfalfa #SaudiArabia #watersecurity #wateruse #water #hydrology #waterrights #overuse #magicwater #extraction #rationing #cropland #watercrisis #accounting #volumetric #model #river #watersupply #modeling #riparian #wetland #ET #evapotranspiration #waterbudget #regional #municipal #agriculture #commercial #industrial #cattle #cattlefeed #spatialanalysis #spatiotemporal

    #gis #spatial #mapping #coloradoriver #coloradoriverbasin #crb
  12. 💧🌏 Greg Cocks @[email protected] ·

    Release Of LGRIP30 Data Product [USGS/NASA]
    --
    lpdaac.usgs.gov/news/release-o <-- press release
    --
    doi.org/10.5067/Community/LGRI <-- overview
    --
    usgs.gov/apps/croplands/app/ma <-- web map/ data portal
    --
    #GIS #spatial #mapping #water #remotesensing #Landsat #opendata #LGRIP #watersecurity #foodsecurity #global #cropland #climatechange #cropland #irrigation #agriculture #LGRIP30 #GlobalFoodSecurity #GFSAD #rainfed #Landsat8 #satellite #hydrology #food
    #NASA #USGS

    #gis #spatial #mapping #water #remotesensing #landsat