🌍 Evaluating Ecological Conditions in the Chirchik River Basin (2020-2024)

The attached map showcases an analysis of temperature, snow and ice melt, and Normalized Difference Snow Index (NDSI) trends for the Chirchik River Basin. The study utilizes cutting-edge data from Sentinel-2, Sentinel-1, and DEM (Digital Elevation Model) datasets to understand the dynamics of this important region.

📊 Three key graphs show:

1️⃣Temperature variations (2020-2024).

2️⃣Snow and ice melt trends.

3️⃣Seasonal changes in snow cover (NDSI).

This project highlights the importance of remote sensing and GIS technologies in monitoring and preserving natural resources.

Follow this channel for more insights on climate change, water resources, and GIS innovations!

📲RemoteSensing_Innovators

✍️@Davlatov_9959

💡 Your feedback and questions are always welcome!

ArcGIS bo`yicha bepul sertifikat olish

👉 https://www.youtube.com/watch?v=v8ZZz1Q0EI0

Telegram | Youtube | GeoInfo.Uz

GIS bo'yicha boshlang'ich kurslar

🔸 Kurslar ingliz tilida
🔸 Mutlaqo bepul
🔸 Sertifikat beriladi

Kurslar ro'yxati 👇

🔹 GIS Basics

🔹 ArcGIS Pro Basics

🔹 ArcGIS Online Basics

🔹 Getting Started with Imagery and Remote Sensing


Telegram | Youtube | GeoInfo.Uz

ArcMap - Landsat 8 kosmik suratlari bilan ishlash bo'yicha video darslar

Ushbu darslar yordamida ArcMap dasturida Landsat kosmik suratlari bilan 0 dan ishlashni boshlang'ich darajada tushuntirib o'tganman

1-dars: Landsat 8, bandlari haqida

2. Earthexplorer saytidan ro'yxatdan o'tish

3. Kosmik suratlarni yuklash

4: True color, False color bilan ishlash

5-dars: Rastrlarni kesib olish

6-dars: Rastrlarni Qo’shish (Mosaic raster)

7-dars: Amaliy mashg'ulot

8-dars NDVI indexi bilan ishlash

9-dars: Visualizatsiya va ranglar klassifikatsiyasi


Sayt | Telegram | Youtube | Kurslar | Fayllar

🔍 Jinoyatchilikni tahlil qilish uchun GIS qo‘llanma 📖

Agar siz jinoyatchilikni GIS yordamida tahlil qilish bilan qiziqsangiz, Wilpen L. Gorr va Kristen S. Kurland tomonidan yozilgan ushbu kitob siz uchun foydali bo‘ladi! 📊

Ushbu qo‘llanmada siz quyidagilarni o‘rganishingiz mumkin:
✅ Jinoyat ma’lumotlarini xaritada tasvirlash va tahlil qilish
✅ Jinoyatchilik o‘choqlari va tendensiyalarini aniqlash
✅ Huquq-tartibot organlari uchun samarali strategiyalar ishlab chiqish

📢 GIS va Remote Sensing bo‘yicha yangiliklar va qo‘llanmalar uchun kanalimizga qo‘shiling!

🔗https://t.me/RemoteSensing_Innovators

📕📁 Kitob va Fayl

#GIS #JinoyatchilikTahlili #Xaritashunoslik #MalumotlarTahlili #Geoinformatika #HuquqTartibot

📌 GIS Tutorial for Crime Analysis 📌

🔍 If you're interested in applying GIS for crime analysis, this book by Wilpen L. Gorr and Kristen S. Kurland is a great resource! It provides practical tutorials on using spatial data to detect crime patterns, analyze trends, and support law enforcement decision-making.

📊 Learn how to:
✅ Use GIS to map and analyze crime data
✅ Identify crime hotspots and trends
✅ Improve public safety strategies

🔗 Join our community for more GIS tutorials and discussions!
📢https://t.me/RemoteSensing_Innovators

📕📁 Book and Files

#GIS #CrimeAnalysis #Mapping #SpatialData #LawEnforcement #DataScience #Geospatial

Juda foydali video bo'libdi , 👍👍👍

🛰 Pan-sharpening🇺🇿
Pan-sharpening — bu past aniqlikdagi rangli (ko‘p spektrli) tasvirlarni yuqori aniqlikdagi oq-qora (panchromatik) tasvir bilan birlashtirish usulidir.

✨ Afzalliklari:
• Tasvir aniqligi oshadi (masalan, 30m dan 15m ga)
• Mayda detallar aniqroq ko‘rinadi
• Qishloq xo‘jaligi, shaharsozlik va atrof-muhit monitoringida samarali qo‘llaniladi.

🛰 Pan-sharpening🇺🇸
Pan-sharpening is a technique that enhances low-resolution multispectral images by fusing them with high-resolution panchromatic images.

✨ Benefits:
• Improves image clarity (e.g., from 30m to 15m resolution)
• Highlights finer details
• Widely used in agriculture, urban planning, and environmental monitoring

🧭Web map

📲RemoteSensing_Innovators

✍️@Davlatov_9959

Landsat 9 Sun`iy yo`ldoshini 30 metrlik sinimkasini aniqlik darajasini 15 metrga oshirish usuli

🌍 Land Cover Map of Tashkent Region, Uzbekistan (2024) 🌍

I just completed a detailed Land Cover Map for the Tashkent Region using remote sensing and GIS technologies. This map highlights various land cover types such as Water, Trees, Grass, Crops, Built-up areas, Bare land, and more.

✅ Analysis Period: 2024.01.01 - 2024.12.31
✅ Scale: 1:2,300,000
✅ Purpose: Understanding land use for planning and management, environmental monitoring, and agricultural practices.

📊 Visualizations include:

Area size table (in hectares and percentage)
Bar chart & Pie chart for better understanding of land cover distribution.

Author : @Davlatov_9959

#GIS #RemoteSensing #LandCover #TashkentRegion #Uzbekistan #Mapping

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Masofadan zondlash orqali olingan qiymat (Crops : 631 058 gektar) haqiqiy qiymatga (748 428 gektar) nisbatan 84.32% aniqlikka ega.