Iqlim ma’lumotlariga kirishdagi muammolar: Gidrometeorologiya xizmatlarida shaffoflik va samaradorlik zarurati

1992-yilda O'zbekiston hukumati Gidrometeorologiya bo'yicha bosh boshqarma (hozirgi Gidrometeorologiya xizmati agentligi) ni kutilayotgan gidrometeorologik vaziyat, iqlim o'zgarishi, atrof-muhitni ifloslanishi va SHU KABI BOSHQA MA'LUMOTLARNI markazlashgan holda yig'ish, hamda BU AXBOROTNI hukumat idoralari va boshqa tashkilotlarga taqdim etish uchun ma'sul etib tayinlangan.

Haqiqatan, agentlik iqlim va shu kabi boshqa ma'lumotlarni tegishli davlat idoralari va boshqa tashkilotlarga taqdim etmoqda. Ammo ilmiy tadqiqot bilan shug'ullanayotganlar bunday ma'lumotlarni odatda markaz arxividagi qog'oz vari-antlardan ko'chirib olish sharti bilangina bunday ma'lumotlarga erishishlari mumkin. Vaholanki, bu ma'lumotlarning elektron varianti ham markazda shakllantiriladi, lekin unga erishishning imkoni qiyin, chunki bunday tayyor ma'lu-motlarni olish uchun ma'lum miqdorda HAQ to'lanishi kerak.

O'zbekiston Respublikasi Ekologiya, Atrof-muhitni muhofaza qilish va Iqlim o'zgarishi vazirligi huzuridagi ushbu Gidrome-teorologiya xizmati agentligi davlatdan oylik olayotgan bir paytida, elektron ma'lumotlarni tegishli soha vakillari, jumladan ilmiy tadqiqot bilan shug'ullanayotganlarga ma'lum haq evaziga berishlari mantiqsiz. Qog'oz variantidagi ma'lumotlarni ko'chirish esa, ularning kerakli vaqtini oladi, ish samarasini pasaytiradi.

Rivojlangan mamlakatlarda, jumladan Buyuk Britaniyada iqlim ma'lumotlari tegishli saytlar (Misol uchun, https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data) da doimiy yuklab boriladi. Foydalanuvchilar ushbu saytlardan o'zlariga kerakli davr iqlim ma'lumotlarini olishlari, ilmiy ishlarida foydalanishlari mumkin. Ular bu qulaylik bilan vaqtlarini tejashlari va ish samaradorliklarini oshirishlari mumkin.

O'zbekistonda ilmiy tadqiqot bilan shug'ullanayotganlarning soni rivojlangan davlatlarnikidan ancha kam. Ularning sonining oshishi hamda faoliyatlari samaradorligini oshirish yuqoridagi kabi ma'lumotlarning ochiqligi, ortiqcha byurokratiya va qog'ozbozlikning bo'lmasligiga juda bog'liq. Bunday harakatlar xalqning farovonligini oshirishga va davlatning rivojlanishi jarayonini tezlashtiradi.

Climate data access challenges: The need for transparency and efficiency in Hydrometeorological services

In 1992, the Government of Uzbekistan established the General Directorate of Hydrometeorology (now the Hydrometeorological Service Agency) to collect centralized information on expected hydrometeorological conditions, climate change, environmental pollution, and other similar information, and to use this information for the government appointed to be responsible for presenting to offices and other organizations.

In fact, the agency provides climate and other similar data to relevant government agencies and other organizations. However, those engaged in scientific research can access such information only on the condition of copying it from paper versions in the archive of the center. Although the electronic version of this information is also created in the center, but it is difficult to get it, because a certain amount of PAYMENT has to be paid to get such ready information.

At the same time that this Hydrometeorological service agency under the Ministry of Ecology, Environmental Protection and Climate Change of the Republic of Uzbekistan receives a monthly salary from the state, it provides electronic data to representatives of relevant fields, including those engaged in scientific research, for a fee it is unreasonable for them to give. Transferring data in a paper version takes their necessary time and reduces work efficiency.

In developed countries like Great Britain, climate data is continuously uploaded in relevant sites (for example, https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data). From these sites, users can obtain climate data of the period they need, and use it in their scientific work. They can save time and improve work efficiency with this convenience.

The number of people engaged in scientific research in Uzbekistan is much less than in developed countries. The increase in their number and the improvement of the effectiveness of their activities depend on the above-mentioned openness of information, the absence of excessive bureaucracy and paperwork. Such actions will eventually increase the welfare of the people and accelerate the development of the state.

“Дарахтларни номига эмас, ҳаётимиз, эртанги кунимиз учун экиш керак” — Шавкат Мирзиёев

Президент масъуллар, маҳалла раислари ва барча аҳолини “Яшил макон” лойиҳасида фаол бўлишга чақирди. Куни кеча Шавкат Мирзиёев Чилонзордаги маҳаллада дарахт экиб, лойиҳанинг кузги мавсумини очиб берганди. 1 декабргача республика бўйлаб 85 млн туп кўчат экиш режалаштирилган.

👉 https://kun.uz/60079223

Kun.uz расмий канали

Ochig'ini aytsam, prezidentimiz yaqin vaqt ichida o'ylab yurgan g'oyamni kecha xalqimizga murojaat qilib aytib o'tdi. Qariyb 35.5 mln aholimiz vataminizni yashil makonga aylantirishda naqadar katta kuchga ega ekanligini sezish qiyin emas. Qolaversa, xalqimiz bolajon, yosh bolalarni asrab-avaylab, ularga mehr-muruvvat ko'rsatib, kelajakda navqiron va ko'pchilikka foydasi tegadigan insonlar bo'lib yetishlarida borini berishadi. Yurtimiz bo'ylab ekilayotgan yosh nihollarni ham yosh bolalarga qiyoslash mumkin. Xalqimiz yosh bolalarga ko'rsatayotgan ushbu mehr-murruvatlarini yosh nihollarga ham berishda jonbozlik ko'rsata olishiga o'ylaymanki, hammamiz ishonamiz.

Statistika Agentligining ba'zi ma'lumotlari (https://stat.uz/uz/matbuot-markazi/qo-mita-yangiliklar/25575-o-zbekiston-respublikasi-bo-yicha-eng-ko-p-xonadon-uy-lar-soni-qaysi-hududda-joylashgan) ga tayanib, O'zbekistondagi jami xonadonlar sonini taxminan 10 mln ga yaqin deyish mumkin. Prezidentimiz ta'kidlaganidek, har bir xonadonda 2 tupdan daraxt ko'chati ekilsa, har yili qo'shimcha 20 mln ga yaqin yosh nihollarni ekib, parvarish qilish mumkin. Har bir daraxt o'rtacha 10 kvadrat metr maydonni egallagan taqdirda ham, aholi tomonidan har yili ekilishi nazarda tutilayotgan 20 mln daraxt kelajakda (yaqin 10 yil ichida) 20,000 gektar yerni qamrab olishi mumkin. Bu degan so'z, ikki yil ichida aholi tomonidan ekiladigan 40 mln ta daraxt orqali, 2030-yillarga borib Toshkent shahri maydoniga teng yerni yashillik bilan qoplash mumkin bo'ladi degani.

Xalqimizning aksariyat qismining suv bor joylarda istiqomat qilishini inobatga olsak, yurtimizni daraxtlar bilan boyitishda, yurtdoshlarimizga tushuntirishlar berishimiz hamda bu yo'lda jonbozlik ko'rsatishlariga undashimiz kerak. Bu yo'l orqali kelajak avlodlarga bo'lajak "Yashil O'zbekiston" ni tuhfa qilishimiz ular uchun eng katta va yuksak qadr-qimmatga ega meros bo'ladi.

To be honest, our president addressed the people yesterday about the idea that I have been thinking about for a while. It is not difficult to realize how much power our 35.5 million inhabitants have in turning our country into a green space. In addition, our people take care of children and young children, show them kindness and do their best to make them become good and useful people in the future. Young saplings planted throughout our country can be compared to young children. I think we all believe that our people will be able to show zeal in giving to young plants the same kindness that they show to young children.

According to the Statistics Agency (https://stat.uz/uz/matbuot-markazi/qo-mita-yangilikar/25575-o-uzbekistan-respublikasi-bo-yicha-eng-ko-p-khonadon-uy), the total number of households in Uzbekistan can be said to be approximately 10 million. As the President noted, if 2 saplings are planted in each house, it is possible to plant and care for about 20 million additional young saplings every year. Even if each tree occupies an average area of ​​10 square meters, the 20 million trees planned to be planted annually by the population may cover 20,000 hectares of land in the future (in the next 10 years). This means that by the 2030s it will be possible to cover an area equal to the area of ​​Tashkent city with greenery through 40 million trees planted by the population in two years.

Taking into account that the majority of our people live in places with water, we should give explanations to our compatriots and encourage them to be active in this way. In this way, our gift of "Green Uzbekistan" to future generations will be the greatest and most valuable legacy for them.

https://youtu.be/9hbq32FV3eA?si=6JZs2CTJ-jJqxGmG

"Yashil makon" doirasida kuzgi 85 mln daraxt va buta ko'chatlarini ekish.
Viloyat hokimliklari va O'rmon xo'jaligi agentligi tomonidan mahallalarga bepul ko'chatlarni yetkazib berish.
Tuman va shaharlarda ko'chat yarmarkalarini tashkil etish.

Assalomu aleykum! Video (https://www.youtube.com/watch?v=wCxRHueX6jQ) dagi asosiy ma'lumotlarni tarjima qilishga harakat qildim. O'ylaymanki, foydasi tegadi.

GEE outperforms ArcGIS in some contexts, including avoidance of downloading satellite images which takes time and memory of our computer. Here is a book for the ones who want to learn GEE 👆.

​​❗️Diqqat Coding Program & Machine  learning kursi tashkil etilmoqda.

"TIQXMMI" Milliy tadqiqot universiteti talabalariga Coding va Machine  learning kursi tashkil etilmoqda! Talabalarni  ushbu kursga  taklif qilamiz.

🔻Ro'yxatdan o'tish uchun quyidagi havolaga o'ting:
https://docs.google.com/forms/d/e/1FAIpQLSfoM3GDKKnG6qZC-9cX0e2dSFlxc3avL3ZTi9D-IadMpDhv-g/viewform?usp=sf_link

Assalomu aleykum barchaga!

Oxirgi yillarda, ko'plab sohalardagi ishlarni avtomatlashtirish yoki dasturlash orqali hal etish ommalashib bormoqda. Sezganingizdek, gap sun'iy intellekt haqida bormoqda. Jahon mamlakatlari, jumladan, rivojlangan davlatlarda, bu sohani o'zlashtirish ortidan ta'lim, ilm-fan, tibbiyot, iqtisod-moliya, harbiy soha, suv va qishloq xo'jaligi, ekologiya va boshqa sohalarda tub o'zgarishlar qilinmoqda. Yurtimizda, bu va bunga o'xshash sohalarni o'zlashtirish va amaliyotga tadbiq etish taraqqiyotga eltadigan eng qisqa yo'llardan biri ekanligi bot-bot ta'kinlanmoqda.

Qolaversa, bugungi ma'lumotlar hajmi kundan-kunga oshib borayotgan zamonda, bunday ma'lumotlarni tahlil qilish, ulardagi eng kerakli jihatlarni payqash, boshqacha aytganda, ma'lumotlarni chuqurroq tushunish muhim ahamiyat kasb etmoqda.

Shu munosabat bilan, sun'iy intellektning sohasi bo'lmish "Machine Learning" bo'yicha onlayn kurs tashkil qilinmoqda. Bu fan o'zining oliy matematika va statistika fanlariga aloqadorligi tufayli yurtimizda, shu uchchala fanlarni o'zida jamlovchi o'zbek tilidagi materialni tayyorlash zarurati sezilmoqda. Bunday materialni tayyorlash ishlari allaqachon boshlangan bo'lib, nihoyalanish arafasida turibdi.

"Machine Learning" bo'yicha onlayn kursimiz 15-Sentabrdan keyin boshlanishi rejalashtirilmoqda. Kursda qatnashuvchilarga oldindan qo'yiladigan qat'iy talablar mavjud emas, lekin ularning matematika va statistika fanlaridan oz bo'lsada xabardor bo'lishi kursni tez va sifatli o'zlashtirishlariga yordam beradi. Kursning qaysi sana va vaqtlarda bo'lishi va boshqa qo'shimcha ma'lumotlar haqida tez orada xabar beramiz.

This file is for those who want to learn ArcGIS through its 10.6 version (it might be quite old, but still useful). The file comes with a book in PDF and resources so that you can directly apply the knowledge gained in the software using the resources.

https://www.researchgate.net/publication/393742955_Exploring_contribution_of_LULC_to_soil_salinity_by_google_earth_engine_and_machine_learning

This research aims to identify which land use/land cover (LULC) types exhibit higher soil salinity and which ones exhibit lower salinity. In it, a LULC map has been created using remote (Sentinel-2) sensing data and a supervised Random Forest algorithm. The accuracy assessment of the map is provided. Moreover, the importance of the three features, in other words, the three LULC types (wheat, bare lands, and flooded/fish farm areas), which might play a significant role in understanding the spatial distribution of the phenomenon (soil salinity), is also identified.

This paper might be useful for some of you who are learning the fundamentals and/or applications of Google Earth Engine, Python, and Remote Sensing.