Riba:
- Ikon fassara yaduddukan GIS, NDVI da ra'ayoyin band/ƙuduri mai nisa
- Fassarar fihirisar, bincike na canji da tsara taswira tare da AI
- Ikon tabbatar da fassarar tauraron dan adam / taswirar AI tare da gaskiyar ƙasa da metadata
Kai injiniyan muhalli ne da ke aiki akan aikin kiyaye dausayi. Majalisar tana son ku binciki korafe-korafen cewa gadon rafin tafkin ya ragu cikin shekaru biyar da suka gabata. Kafin zuwa filin, kuna buƙatar yin ƙima na farko a teburin ku: kuna da hotunan tauraron dan adam daga shekaru biyu daban-daban, aikin GIS (Tsarin Bayanan Geographic) da ƙirar harshe. Kuna iya samun LLM ta fassara taƙaitawar NDVI na hotuna kuma ku rubuta daftarin labarin canjin. Koyaya, pixel ta tauraron dan adam yana wakiltar murabba'in mita 10, kuma zaku iya fahimtar ko akwai inuwar gajimare, bushewar bushewa ko matakin ruwa na yanayi a wannan filin tare da gaskiyar ƙasa. A cikin wannan rukunin, mun rufe ra'ayoyi na ji na nesa da GIS, index / canji fassarar tare da AI, kuma mafi mahimmanci, iyakokin wannan fassarar.
GIS Layer dabaru da kuma tushen fahimtar nesa
GIS tana tsara bayanan yanki zuwa yadudduka masu ruɓani: kowane Layer yana ɗaukar jigo (amfani da ƙasa, jikunan ruwa, tsayi, hanyoyi) kuma yana daidaitawa cikin tsarin daidaitawa gama gari. Ana farawa da bincike tare da jerawa daidai yadudduka a daidai tsinkaya; tsarin daidaitawa da ba daidai ba a tsare-tsare yana lalata yankuna da nisa.
Lokacin fassara hoto mai nisa dole ne ku bambanta nau'ikan ƙuduri guda uku:
Nau'in ƙuduri
Me yake fada?
misali
iyakance
sarari
Girman pixel a ƙasa
10m, 30m ku
Kananan abubuwa sun kasance sub-pixel
na ban mamaki
Nawa ne kuma wanne wavelength band?
Ja, NIR, SWIR
Ƙananan band = ƙarancin ikon nuna bambanci
na ɗan lokaci
Sau nawa ake kallon wuri guda
Kwanaki 5, kwana 16
Asarar bayanai a cikin kwanakin girgije
Radiometric
Hasken haske (zurfin bit)
8-bit, 12-bit
Ƙananan zurfin = rashin nuna bambanci
NDVI: dabara da fassarar
Fihirisar da aka fi sani da auna mahimmancin ciyayi ita ce NDVI (Index ɗin Bambancin ciyayi na Al'ada). Tsire-tsire mai lafiya yana nuna ƙarfi kusa da infrared (NIR) kuma yana sha ja (RED):
NDVI = (NIR - RED) / (NIR + RED) Matsayi mai daraja: -1 ... +1 <0: ruwa, dusar ƙanƙara, girgije 0.0 - 0.2: ƙasa mara kyau, dutsen, yanki mai gina jiki 0.2 - 0.5: ciyayi maras kyau / tsire-tsire masu tsire-tsire, murfin da aka jaddada 0.5 - 0.9 koren lafiya: murfin lafiya
# NDVI na karamin samfurin toshe na pixels shigo da lamba kamar npnir = np.array ([[0.42, 0.38], [0.11, 0.45]]) # kusa da infrared reflectancered = np.array ([0.06, 0.09], [0.10, 0.05] +r ja +r) + ja) bugawa (np.round (ndvi, 2))# [[0.75 0.62]# [0.05 0.80]] # Ƙashin hagu na hagu (0.05): ba shuka ba - yana iya zama ƙasa mara kyau ko ruwa / inuwa
Tukwici: NDVI ba cikakkiyar ma'aunin "lafiya ba ce" amma alama ce mai dogaro da yanayin. Lokacin kwatanta NDVI guda biyu masu kwanan wata na yanki ɗaya, tabbatar da cewa an ɗauki hotunan a cikin yanayi iri ɗaya, kusurwar rana iri ɗaya, da yanayin rashin girgije. Kwatanta bayyanar ƙarshen bazara zuwa bazara yana haifar da “asarar shuka” mara gaskiya.
Canza bincike (gano canji)
Hanya mai sauƙi don gano bambanci tsakanin kwanakin biyu shine ɗaukar bambancin NDVI, amma wannan bambanci yana da ma'ana kawai idan za'a iya kwatanta hotuna.
ΔNDVI = NDVI_2025 - NDVI_2020 ΔNDVI << 0: rufe hasara mai yiwuwa (bushewa, yankan, gini) Bambanci = canji na gaske + amo.
Tsanaki: Gajimare, inuwar gajimare da yanayin yanayi sune manyan masu lalata bincike na canji. Wurin da ke ƙarƙashin inuwar gajimare yana ba da ƙarancin NDVI kuma yayi kama da "asara ciyayi". Lokacin da LLM ke yin fassarar hoto, ƙirar na iya yin kuskuren waɗannan kayan tarihi don ainihin taron. Tabbatar duba metadata na hoton (kwanaki, adadin girgije, kwanar rana).
Fassarar fihirisa da labarin taswira tare da AI
LLM yana da amfani wajen fassara taƙaitaccen fihirisar lambobi zuwa bayyananniyar labari da samar da daftarin rahotanni. Ba shi ɗanyen kididdigar NDVI da metadata kuma ka neme shi ya samar da sharhi don tabbatarwa.
RAUNI GASKIYA: "Shin dausayin ya zama ƙarami a wannan hoton tauraron dan adam?" KARFIN GASKIYA: "Na ba da kididdigar NDVI guda biyu masu kwanan wata (yanki ɗaya, firikwensin iri ɗaya): 2020-07-15 avg NDVI=0.61 girgije=3% kwanar rana=58°2025-07-12 avg NDVI=0.42=22% kwana kwana=55°Area na sha'awa. ɗawainiya: 1) Ƙirƙirar ΔNDVI da lissafin yiwuwar fassarori.2) Lissafin dalilan (girgije, inuwa, matakin ruwa, yanayi, daidaitawa) wannan raguwa zai iya zama saboda (girgije, inuwa, matakin ruwa, kakar, calibration) SAURAN ɓataccen murfin gaskiya.3) Ga kowane dalili mai yiwuwa, bayar da shawarar mataki na VERIFICATION don bambanta shi (misali, rakodin ruwa maras kyau), zaɓin hoton filin 4). karkatar da X%' KADA KA SATA;
Ƙarfin faɗakarwa yana jagorantar samfurin ba zuwa ga tabbataccen ƙarshe ɗaya ba amma ga shirin madadin bayani da tabbaci. Gaskiyar cewa hoton 2025 ya ƙunshi gizagizai 22% yana sa raguwar shakku a kanta.
Tabbatar da gaskiyar ƙasa
Ma'auni na zinariya na fassarar fahimtar nesa shine wuraren tabbatarwa tare da lura da ma'auni da aka yi a cikin filin. Kuna yin rikodin ainihin murfin ƙasa tare da GPS a wurare da yawa kuma kuna kwatanta shi da rarrabuwar hoto. Idan filin ya ce "busassun reeds" a cikin pixel inda AI ko algorithm ya ce "ruwa", rarrabuwa ba abin dogaro ba ne.
karamin kaso
A cikin kula da tasirin muhalli na wurin hakar ma'adinai, ƙungiyar ta tsara "hectare 15 na asarar gandun daji saboda ayyukan hakar ma'adinai" bisa ga raguwar NDVI da aka lasafta daga hoton tauraron dan adam kuma an fadada fassarar zuwa LLM; samfurin ya samar da ruwa mai ruwa, labari mai gamsarwa. Sai dai a lokacin da tawagar ta duba wannan rahoto a filin, an ga cewa wani bangare na yankin da ke da karancin NDVI a hakika wani yanki ne na noma da aka girbe kuma wani bangare ne na inuwar gajimare wanda ya yi daidai da ranar da aka dauki hoton. Ainihin asarar gandun daji ya kai hectare 4, ba 15 ba. Idan an duba metadata (maskin girgije) da Layer amfani da ƙasa tukuna, da an hana kuskuren a farkon wuri. Kyawawan jimlolin LLM ba su sa shigar da kuskure daidai ba.
Kuskuren gama gari
- Kwatanta hotuna daban-daban na yanayi/rana da kuskuren bambancin yanayi don "canji".
- Fassara girgije da inuwar gajimare azaman ainihin asarar murfin; kewaye abin rufe fuska.
- Yin ingantattun hukunce-hukunce daga bayanan pixel game da ƙananan abubuwa da suka wuce iyakar sarari.
- Wuraren da ba daidai ba da nisa saboda daidaita tsarin / rashin daidaituwa.
- Tunanin cewa NDVI cikakkiyar ma'auni ne na lafiya da kuma kula da ruwa da pixels inuwa kamar tsire-tsire ne.
- Sanya labarin taswirar ruwan LLM a cikin rahoton a matsayin bincike na ƙarshe ba tare da gaskiyar ƙasa ba.
- Bayar da sakamakon ba tare da rubuta bayanan metadata ba (kwanan wata, firikwensin, girgije%, matakin sarrafawa).
A takaice
- Ana yin nazarin GIS akan yadudduka masu daidaitawa a cikin tsarin daidaitawa gama gari; Kuskuren tsinkaya yana karkatar da sakamakon.
- Ƙaddamar sararin samaniya, na gani, na ɗan lokaci da ƙudurin radiyo suna iyakance abin da hoto zai iya nunawa.
- NDVI = (NIR-RED)/(NIR+RED) alama ce ta yanayin kuzarin shuka, ba cikakkiyar ma'aunin lafiya ba.
- A cikin bincike na canji, bambanci = canji na gaskiya + amo; Gajimare, inuwa da yanayi sune manyan masu yaudara.
- LLM yana samar da fassarar fihirisa da taswirar labari, amma baya “gani” hoton tauraron dan adam; Sharhi gwargwadon lambar da kuka bayar.
- Ba za a iya fassara fassarar AI da rarrabawa ta atomatik zuwa binciken muhalli na ƙarshe ba tare da tabbatarwa tare da gaskiyar ƙasa da metadata ba.
Aikin aikace-aikace
Ƙirƙiri ko ɗauka taƙaitaccen kwanan watan NDVI guda biyu don filin (ko dai zaɓinku ko samfurin); Yi la'akari da metadata (kwanaki, adadin girgije, kwanar rana, firikwensin) na kowace kwanan wata. Yi lissafin ΔNDVI. Rubuta sauri sauri kuma LLM ta tambayi ba kawai don ainihin canjin murfin ba, amma don madadin bayani (girgije, inuwa, kakar, matakin ruwa, daidaitawa) da matakin tabbatarwa ga kowane. Sannan rubuta “tsarin tabbatar da gaskiya ta ƙasa”: aƙalla maki uku, abin da za a auna a fagen, da yadda za a kwatanta shi da fassarar hoton. A ƙarshe, alamar wanne bayani a cikin labarin da LLM ya samar "ba za a iya haɗa shi cikin rahoton ba tare da tabbatarwa ba" kuma rubuta dalilin.