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#chirps — Public Fediverse posts

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

  1. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  2. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  3. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  4. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  5. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --

  6. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  7. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  8. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  9. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  10. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  11. Ducks swimming in pond. Snow on foreground. Sounds of cars, birds chirping. Patos nadando en el estanque. Nieve en primer plano. Sonidos de coches, pájaros cantando. 鸭子在池塘里游泳。前景有雪。汽车的声音,鸟儿的鸣叫。#duck #snow #winter #chirps

  12. Ducks swimming in pond. Snow on foreground. Sounds of cars, birds chirping. Patos nadando en el estanque. Nieve en primer plano. Sonidos de coches, pájaros cantando. 鸭子在池塘里游泳。前景有雪。汽车的声音,鸟儿的鸣叫。#duck #snow #winter #chirps

  13. Turns out that day-calling #crickets (as opposed to night-calling species) tune their #chirps to avoid the same #bandwidth as other nosy #insects (like #cicadas). We know #birds do this type of thing ("#acoustic #niche partitioning"). Interesting to see it in insects.

    Title: The #circadian calling activity of a lebinthine cricket with high-frequency calls is unaffected by cicada choruses in the day

    Link: peerj.com/articles/14641/

  14. Turns out that day-calling #crickets (as opposed to night-calling species) tune their #chirps to avoid the same #bandwidth as other nosy #insects (like #cicadas). We know #birds do this type of thing ("#acoustic #niche partitioning"). Interesting to see it in insects.

    Title: The #circadian calling activity of a lebinthine cricket with high-frequency calls is unaffected by cicada choruses in the day

    Link: peerj.com/articles/14641/

  15. Turns out that day-calling #crickets (as opposed to night-calling species) tune their #chirps to avoid the same #bandwidth as other nosy #insects (like #cicadas). We know #birds do this type of thing ("#acoustic #niche partitioning"). Interesting to see it in insects.

    Title: The #circadian calling activity of a lebinthine cricket with high-frequency calls is unaffected by cicada choruses in the day

    Link: peerj.com/articles/14641/

  16. Turns out that day-calling #crickets (as opposed to night-calling species) tune their #chirps to avoid the same #bandwidth as other nosy #insects (like #cicadas). We know #birds do this type of thing ("#acoustic #niche partitioning"). Interesting to see it in insects.

    Title: The #circadian calling activity of a lebinthine cricket with high-frequency calls is unaffected by cicada choruses in the day

    Link: peerj.com/articles/14641/

  17. Turns out that day-calling #crickets (as opposed to night-calling species) tune their #chirps to avoid the same #bandwidth as other nosy #insects (like #cicadas). We know #birds do this type of thing ("#acoustic #niche partitioning"). Interesting to see it in insects.

    Title: The #circadian calling activity of a lebinthine cricket with high-frequency calls is unaffected by cicada choruses in the day

    Link: peerj.com/articles/14641/

  18. #chirps

    Overheard in a beer league:
    Player: "Hey ref, that's delay of game."
    Ref: "Every time you're out here it's delay of game."

  19. #chirps

    Overheard in a beer league:
    Player: "Hey ref, that's delay of game."
    Ref: "Every time you're out here it's delay of game."