Flood extent mapping
Radar images, which see through cloud, are classified to map standing water during and after floods, and compared with optical images and field reports.
GCRI · Avhewa û metirsî
Earth observation and remote sensing measure hazards and their footprints from space and the air: rainfall, soil moisture, vegetation, fire, flood extent and ground deformation. In this field it fills gaps between ground stations and gives consistent records across borders.
Earth observation and remote sensing gather information about the Earth’s surface and atmosphere from airborne and spaceborne sensors. They provide consistent, repeatable measurements over areas that are hard to monitor on the ground. In climate and hazards and disaster and crisis, earth observation maps exposure, damage and environmental change across borders and sectors. It supports rapid assessment after disasters and long-term monitoring of risk drivers. The canonical description is on STEM Commons.
Radar images, which see through cloud, are classified to map standing water during and after floods, and compared with optical images and field reports.
Vegetation indices and land surface temperature are compared with their seasonal norms to detect agricultural drought stress.
Thermal anomalies and post-fire reflectance changes map fire activity and burned area, with detection limits stated.
Active fires, flood water and land cover across the world, from NASA GIBS. Each layer carries its own date.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
Çavdêriya Erdê, ji bo vê rûpelê
Klavye, dema ku nexşe di fokusê de ye
Ctrl an ⌘ bigire û bizivirîne da ku nêzîk bikî
Ya herî dawî ya heyî
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Wêneyên herî nû yên NASA tê barkirin.
Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.
Earth observation, framed on the world.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.
Qat û dîrok
Datasets and records used by earth observation and remote sensing on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Copernicus Sentinel-1 and Sentinel-2 | Radar and optical imagery | ÇAVDÊRÎKIRÎ |
| NASA MODIS and VIIRS | Daily global observations | ÇAVDÊRÎKIRÎ |
| GPM IMERG precipitation | Satellite rainfall estimates | TEXMÎNKIRÎ |
| ESA CCI soil moisture | Long-term soil moisture records | ÇAVDÊRÎKIRÎ |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Climate and hazards · Earth observation for hazards · Run R-0133
revisit and swath
stratified sample
| Av | 98 | 89 | 128 |
| Cropland | 87 | 75 | 261 |
| Built-up | 82 | 90 | 102 |
| Forest | 90 | 87 | 125 |
Products are assessed against ground reference data using accuracy matrices and independent samples. Cross-calibration between sensors checks consistency over time.
| Kontrol bikin | How it is done |
|---|---|
| Accuracy assessment | Maps are compared with independent reference data and accuracy reported by class |
| Cross-sensor consistency | Long records are checked for jumps when sensors change |
| Detection limits | Minimum detectable fire size, flood width or deformation is stated |
Clouds, revisit gaps and mixed pixels limit what can be observed. Changes in sensors and processing can create artificial trends.
Assembled from the Nexus Standards area profile Standardên xetera avhewa: the hazards it names, the pergalan and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
Metirsî
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-1 Çavdêrxaneya UNI û kataloga berheman (rêzimana v0.2: beşên qad, sektor, herêm û jîngehê)NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)NS-3b Profîla metadata ya daneset û berheman (STAC, DCAT, PROV-O)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NS-14 Lihevhatin û nexşeya li standardên derveyîNRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)NRS-H62 Malbata metirsiyê: Bûyerên tevhev û pir-metirsî (NHS-1 sys.compound)NRS-H71 Malbata metirsiyê: Felaketên kozmîk û yên dema kûr (NHS-1 planet.deep-time)NRS-H79 Malbata metirsiyê: Krîzên tenduristiya derûnî (NHS-1 health.mental)NRS-H75 Malbata metirsiyê: Nexweşiyên hesas li hember avhewayê (NHS-1 health.climate-sensitive)NRS-H7 Malbata metirsiyê: Anomaliyên gera mezin (NHS-1 atmo.climate-mode)Çavdêrî
Erdnîgariya mînakê
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
How far the outlook for earth observation for hazards could spread, shown as ranges rather than a single line.
Ezman û Çavdêriya Erdê stewards earth observation and remote sensing for the Consortium and reviews how it is applied across platforms.
Process explorer · Process
9 steps·4 qonax·1 gate
Pêvajo
Processing levels are mission specific; Sentinel-2 runs from Level-0 raw data to Level-2A, and CEOS Analysis Ready Data sets the minimum for analysis.
Neutral outline of a published external standard or method, from its issuing body. Not a record of operation. Nexus does not perform, certify or approve any step shown. A gate or decision belongs to the party the source names. Level-1B and Level-1C add corrections; Level-2A adds atmospheric correction and scene classification.
rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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