Forwarded from GISPad | SARDORBEK MAVLONBEKOV
South GNSS G9 haqida video qo'llanma!
Fikringizni izohlarda qoldiring bu biz uchun muhim!
Do'stlarga ulashing ๐@GISPad
https://youtu.be/YifIUJbBSB4?si=QtcaYXx_JQ7nTFE1
Fikringizni izohlarda qoldiring bu biz uchun muhim!
Do'stlarga ulashing ๐@GISPad
https://youtu.be/YifIUJbBSB4?si=QtcaYXx_JQ7nTFE1
YouTube
GNSS South G9 | #GISPad
O'zbek tilidagi darsliklar to'plamidan, video yoqgan bo'lsa like bosib izohlarda o'z fikringizni qoldiring.
Sizning fikringiz biz uchun muhim!
Bizni loyihani qo'llab quvvatlang
(5555 3666 0268 6050)
#GISPad
Sizning fikringiz biz uchun muhim!
Bizni loyihani qo'llab quvvatlang
(5555 3666 0268 6050)
#GISPad
๐7๐ฅ1๐ฏ1
๐บ 2019โ2024 yillarda o`ralig`ida har fasldagi vegetatsiya oโzgarishlarini turli xil indexlar orqali tahlili๐บ
๐บ Analysis of Seasonal Vegetation Changes from 2019 to 2024 Using Various Indices ๐บ
๐บWeb map๐พ
๐บ Analysis of Seasonal Vegetation Changes from 2019 to 2024 Using Various Indices ๐บ
๐บWeb map๐พ
๐8๐ค2๐1๐ฏ1
#Savol javoblar : o'zingizni qiziqtirgan savollarni yozib qoldiring?
๐1๐ฅ1๐ฏ1
๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟ๐บ๐ฟBiz Jahon Chempionatidamiz!
Oโzbekiston xalqi, Oโzbekiston davlatining tarixiy gโalabasi barchamizga muborak boโlsin!
Oโzbekiston xalqi, Oโzbekiston davlatining tarixiy gโalabasi barchamizga muborak boโlsin!
๐7โค2๐ฅ1
๐ฏ Model Builder yordamida NDVI xaritasi yaratildi!
๐ Hudud: Qashqadaryo viloyati, Gโuzor tumani
๐ Sana: 2025-yil 6-iyun
๐ฐ๏ธ Sunโiy yoโldosh: Sentinel-2 (L2A)
Ushbu amaliy ishda asosiy maqsad โ Model Builder vositasida takroriy bajariladigan geoprocessing jarayonlarini avtomatlashtirish, vaqt va resurslarni tejashga erishishdir.
๐ Ish bosqichlari:
1๏ธโฃ 2 ta multi-spectral Sentinel-2 tasviri tanlab olindi โ bu Gโuzor tumanini toโliq qamrab olish uchun zarur boโldi.
2๏ธโฃ Raster Calculator orqali NDVI (Normalized Difference Vegetation Index) hisoblab chiqildi.
3๏ธโฃ Mosaic jarayoni orqali ikki tasvir birlashtirildi.
4๏ธโฃ Clip funksiyasi orqali Gโuzor tumani chegarasiga mos ravishda kesib olindi.
โ Natijada, tuman hududidagi vegetatsiya holatini aks ettiruvchi aniq va vizual jihatdan qulay NDVI xaritasi yaratildi.
๐ Ushbu modelni boshqa tumanlar, sanalar yoki ArcGIS pro da o'zingiz kunlik bajaralidigan geoprocessing vazifalar uchun ham qoโllash mumkin.
๐ Hudud: Qashqadaryo viloyati, Gโuzor tumani
๐ Sana: 2025-yil 6-iyun
๐ฐ๏ธ Sunโiy yoโldosh: Sentinel-2 (L2A)
Ushbu amaliy ishda asosiy maqsad โ Model Builder vositasida takroriy bajariladigan geoprocessing jarayonlarini avtomatlashtirish, vaqt va resurslarni tejashga erishishdir.
๐ Ish bosqichlari:
1๏ธโฃ 2 ta multi-spectral Sentinel-2 tasviri tanlab olindi โ bu Gโuzor tumanini toโliq qamrab olish uchun zarur boโldi.
2๏ธโฃ Raster Calculator orqali NDVI (Normalized Difference Vegetation Index) hisoblab chiqildi.
3๏ธโฃ Mosaic jarayoni orqali ikki tasvir birlashtirildi.
4๏ธโฃ Clip funksiyasi orqali Gโuzor tumani chegarasiga mos ravishda kesib olindi.
โ Natijada, tuman hududidagi vegetatsiya holatini aks ettiruvchi aniq va vizual jihatdan qulay NDVI xaritasi yaratildi.
๐ Ushbu modelni boshqa tumanlar, sanalar yoki ArcGIS pro da o'zingiz kunlik bajaralidigan geoprocessing vazifalar uchun ham qoโllash mumkin.
โก5โค2๐ฏ1
Machine Learning and Deep Learning
1๏ธโฃ Machine Learning (ML) involves algorithms and models that can learn from and make predictions or decisions based on data. Machine learning algorithms are designed to learn patterns from data and make predictions or decisions without explicit programming.
2๏ธโฃDeep Learning (DL) is a subset of machine learning that uses neural networks with multiple layers to learn from data. Deep learning algorithms, inspired by the structure of the human brain, consist of artificial neural networks with multiple layers (hence the term "deep"). These networks are capable of learning representations of data with multiple levels of abstraction. Deep learning excels in handling large volumes of data and can automatically discover patterns within it.
1๏ธโฃ Machine Learning (ML) involves algorithms and models that can learn from and make predictions or decisions based on data. Machine learning algorithms are designed to learn patterns from data and make predictions or decisions without explicit programming.
2๏ธโฃDeep Learning (DL) is a subset of machine learning that uses neural networks with multiple layers to learn from data. Deep learning algorithms, inspired by the structure of the human brain, consist of artificial neural networks with multiple layers (hence the term "deep"). These networks are capable of learning representations of data with multiple levels of abstraction. Deep learning excels in handling large volumes of data and can automatically discover patterns within it.
๐3๐ฅ1๐ฏ1
Forwarded from Azizbek Qoสปchqorboyev (Blog)
๐3
Forwarded from Qodirov_project
This media is not supported in your browser
VIEW IN TELEGRAM
โก6๐3๐1
๐ฐRemote Sensing Innovators
https://www.linkedin.com/posts/thinkgeoedu_geospatial-data-remotesensing-ugcPost-7339639841782984707-pudB?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEF2uRMBs4n1zra-au2CwtHhgYuGw3x0p-o
Synthetic Aperture Radar (SAR) is a revolutionary technology in the field of remote sensing, enabling data collection regardless of weather conditions or daylight
๐4
๐ฐRemote Sensing Innovators
#The Top university ranking Remote Sensing
After the summer school, I will apply the knowledge and experience I gained here to contribute to the development of my field.
๐7