{"id":5618,"date":"2022-10-07T15:35:41","date_gmt":"2022-10-07T13:35:41","guid":{"rendered":"https:\/\/geopard.tech\/?p=5618"},"modified":"2026-09-13T10:54:54","modified_gmt":"2026-09-13T08:54:54","slug":"indicele-de-umiditate-diferentiala-normalizata-ndmi","status":"publish","type":"post","link":"https:\/\/geopard.tech\/ro\/blog\/normalized-difference-moisture-index-ndmi\/","title":{"rendered":"Indicele de umiditate al diferen\u021bei normalizate"},"content":{"rendered":"

Num\u0103rul de indici de vegeta\u021bie sus\u021binu\u021bi de GeoPard<\/a> este \u00een continu\u0103 cre\u0219tere. Echipa GeoPard introduce Indicele de Umiditate Diferen\u021bial\u0103 Normalizat\u0103 (NDMI). Indicele determin\u0103 con\u021binutul de ap\u0103 al vegeta\u021biei \u0219i indicele de ap\u0103 diferen\u021bial\u0103 normalizat\u0103 (NDWI). Este util pentru a g\u0103si zonele cu vegeta\u021bie existent\u0103 stresul hidric la plante<\/strong>.<\/p>\r\n\r\n\r\n\r\n

Valorile NDMI mai mici marcheaz\u0103 locurile \u00een care plantele sunt stresate din cauza umidit\u0103\u021bii insuficiente.
Pe de alt\u0103 parte, valorile mai mici ale indicelui de ap\u0103 al diferen\u021bei normalizate dup\u0103 v\u00e2rful de vegeta\u021bie eviden\u021biaz\u0103 petele care devin gata de recoltare<\/strong> primul.<\/p>\r\n

\"Diferen\u021ba

Diferen\u021ba dintre con\u021binutul relativ de ap\u0103 al vegeta\u021biei \u0219i dou\u0103 imagini din satelit (\u00een acest caz, constela\u021bia Sentinel-2)<\/p><\/div>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n

\u00cen urm\u0103toarele capturi de ecran, pute\u021bi g\u0103si zonele NDMI generate pe baza imaginilor din satelit din 19 iunie (v\u00e2rf de vegeta\u021bie) \u0219i 6 iulie, precum \u0219i harta ecua\u021biei care reprezint\u0103 diferen\u021ba NDMI.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n

\"IndiceleNDMI calculat pe baza imaginii Planet \/ Sentinel-2 \/ Landsat<\/p>\r\n

Ce este indicele de umiditate?<\/h2>\r\n

Este o m\u0103sur\u0103 sau un calcul utilizat pentru a evalua con\u021binutul sau disponibilitatea umidit\u0103\u021bii \u00eentr-o anumit\u0103 zon\u0103 sau regiune. De obicei, este derivat din diver\u0219i factori de mediu, cum ar fi precipita\u021biile, evapotranspira\u021bia, propriet\u0103\u021bile solului \u0219i acoperirea vegetal\u0103.<\/p>\r\n

Ofer\u0103 o indica\u021bie relativ\u0103 a umidit\u0103\u021bii sau usc\u0103ciunii unei zone, ajut\u00e2nd la identificarea poten\u021bialelor condi\u021bii de stres hidric sau secet\u0103.<\/p>\r\n

Este un instrument valoros pentru monitorizarea \u0219i gestionarea resurselor de ap\u0103, planificarea agricol\u0103 \u0219i \u00een\u021belegerea condi\u021biilor ecologice ale unei anumite regiuni.<\/p>\r\n

Ce este indicele de umiditate diferen\u021bial\u0103 normalizat\u0103?<\/h2>\r\n

Indicele de umiditate diferen\u021bial\u0103 normalizat\u0103 (NDMI) este un indice de vegeta\u021bie derivat din date de teledetec\u021bie pentru a evalua \u0219i monitoriza con\u021binutul de umiditate al vegeta\u021biei. La fel ca al\u021bi indici de vegeta\u021bie, acesta este calculat folosind valori de reflectan\u021b\u0103 spectral\u0103 din imagini satelitare sau aeriene.<\/p>\r\n

Este util \u00een special \u00een monitorizarea stresului hidric al plantelor, evaluarea condi\u021biilor de secet\u0103, estimarea riscului de incendiu \u0219i studierea impactului schimb\u0103rilor climatice asupra vegeta\u021biei.<\/p>\r\n

Se calculeaz\u0103 utiliz\u00e2nd benzile de infraro\u0219u apropiat (NIR) \u0219i infraro\u0219u cu unde scurte (SWIR), care sunt sensibile la con\u021binutul de umiditate din vegeta\u021bie. Formula pentru NDMI este:<\/p>\r\n

NDMI<\/strong> = (IRN \u2013 IRN) \/ (IRN + IRN)<\/em><\/p>\r\n

Valorile NDWI variaz\u0103 de obicei de la -1 la 1, valorile mai mari indic\u00e2nd un con\u021binut mai mare de umiditate a vegeta\u021biei, iar valorile mai mici indic\u00e2nd un con\u021binut mai mic de umiditate sau stres hidric \u00een vegeta\u021bie. Valorile NDMI negative pot fi asociate cu zone f\u0103r\u0103 vegeta\u021bie sau zone cu un con\u021binut foarte sc\u0103zut de umiditate.<\/p>\r\n

Ce este NDWI?<\/h2>\r\n

NDWI, sau Indicele de Ap\u0103 cu Diferen\u021b\u0103 Normalizat\u0103, este un indice de teledetec\u021bie utilizat pentru a cuantifica \u0219i evalua con\u021binutul de ap\u0103 sau caracteristicile legate de ap\u0103 din vegeta\u021bie sau peisaje.<\/p>\r\n

Se calculeaz\u0103 prin analizarea reflectan\u021bei benzilor de lumin\u0103 \u00een infraro\u0219u apropiat \u0219i verde din imaginile satelitare sau aeriene. Este util\u0103 \u00een special pentru identificarea corpurilor de ap\u0103, monitorizarea schimb\u0103rilor \u00een disponibilitatea apei \u0219i evaluarea st\u0103rii de s\u0103n\u0103tate a vegeta\u021biei.<\/p>\r\n

Prin compararea absorb\u021biei \u0219i reflexiei diferitelor lungimi de und\u0103, ofer\u0103 informa\u021bii valoroase pentru aplica\u021bii precum monitorizarea secetei, analiza hidrologic\u0103 \u0219i gestionarea ecosistemului.<\/p>\r\n

Vizualizarea NDMI pentru a determina indicele de ap\u0103 cu diferen\u021b\u0103 normalizat\u0103<\/h2>\r\n

Vizualizarea NDMI implic\u0103 procesarea imaginilor din satelit sau aeriene, calcularea valorilor NDMI \u0219i apoi afi\u0219area rezultatelor sub form\u0103 de hart\u0103 sau imagine codificat\u0103 prin culori. Iat\u0103 pa\u0219ii generali pentru vizualizarea NDMI:<\/p>\r\n

    \r\n
  • Ob\u021bine\u021bi imagini din satelit sau aeriene:<\/strong> Ob\u021bine\u021bi imagini multispectrale de la un satelit sau o platform\u0103 aerian\u0103, cum ar fi Landsat, Sentinel sau MODIS. Asigura\u021bi-v\u0103 c\u0103 imaginile includ benzile necesare: infraro\u0219u apropiat (NIR) \u0219i infraro\u0219u cu unde scurte (SWIR).<\/li>\r\n
  • Pre-procesa\u021bi imaginile:<\/strong> \u00cen func\u021bie de sursa de date, este posibil s\u0103 fie nevoie s\u0103 preprocesa\u021bi imaginile pentru a corecta distorsiunile atmosferice, geometrice \u0219i radiometrice. Converti\u021bi numerele digitale (DN) din imagine \u00een valori de reflectan\u021b\u0103 spectral\u0103.<\/li>\r\n
  • Calcula\u021bi NDMI:<\/strong> Pentru fiecare pixel din imagine, utiliza\u021bi valorile de reflectan\u021b\u0103 NIR \u0219i SWIR pentru a calcula NDMI folosind formula: NDMI = (NIR \u2013 SWIR) \/ (NIR + SWIR).<\/li>\r\n
  • Maparea culorilor:<\/strong> Atribui\u021bi o palet\u0103 de culori valorilor NDMI. De obicei, se utilizeaz\u0103 o scal\u0103 continu\u0103 de culori, variind de la o culoare (de exemplu, ro\u0219u) pentru valori NDMI sc\u0103zute (care indic\u0103 un con\u021binut sc\u0103zut de umiditate) la o alt\u0103 culoare (de exemplu, verde) pentru valori NDMI ridicate (care indic\u0103 un con\u021binut ridicat de umiditate). Pute\u021bi utiliza software precum QGIS, ArcGIS sau biblioteci de programare precum Rasterio \u0219i Matplotlib din Python pentru a crea o hart\u0103 a culorilor.<\/li>\r\n
  • Vizualiza\u021bi harta NDMI:<\/strong> Afi\u0219a\u021bi harta sau imaginea NDMI utiliz\u00e2nd software GIS, o bibliotec\u0103 de programare sau o platform\u0103 online. Acest lucru v\u0103 va permite s\u0103 analiza\u021bi distribu\u021bia spa\u021bial\u0103 a con\u021binutului de umiditate al vegeta\u021biei \u0219i s\u0103 identifica\u021bi zonele cu stres hidric sau umiditate ridicat\u0103.<\/li>\r\n
  • Interpretare \u0219i analiz\u0103:<\/strong> Utiliza\u021bi vizualizarea NDWI pentru a evalua starea de s\u0103n\u0103tate a vegeta\u021biei, a monitoriza condi\u021biile de secet\u0103 sau a evalua riscul de incendiu. De asemenea, pute\u021bi compara h\u0103r\u021bi ale indicelui de ap\u0103 cu diferen\u021b\u0103 normalizat\u0103 din diferite perioade de timp pentru a analiza modific\u0103rile con\u021binutului de umiditate al vegeta\u021biei \u00een timp.<\/li>\r\n<\/ul>\r\n

    Re\u021bine\u021bi c\u0103 diferite instrumente software sau biblioteci de programare pot avea fluxuri de lucru u\u0219or diferite, dar procesul general va fi similar. \u00cen plus, pute\u021bi suprapune alte straturi de date, cum ar fi utilizarea terenului, altitudinea sau limitele administrative, pentru a v\u0103 \u00eembun\u0103t\u0103\u021bi analiza \u0219i a \u00een\u021belege mai bine rela\u021biile dintre con\u021binutul de umiditate al vegeta\u021biei \u0219i al\u021bi factori.\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

    Num\u0103rul indicilor de vegeta\u021bie accepta\u021bi de GeoPard este \u00een continu\u0103 cre\u0219tere. Echipa GeoPard introduce Indicele de Umiditate Diferen\u021bial\u0103 Normalizat\u0103 (NDMI). Indicele determin\u0103 cantitatea de ap\u0103 din vegeta\u021bie...<\/p>","protected":false},"author":210157960,"featured_media":5620,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1586,1372,1377,1376,1378,1379],"tags":[1619,1618],"class_list":["post-5618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-blog","category-crop-monitoring","category-management-zones","category-remote-sensing","category-soil-data","tag-normalized-difference-vegetation-index","tag-crop-monitoring"],"acf":[],"yoast_head":"\nNormalized Difference Moisture Index - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"GeoPard team introduces the Normalized Difference Moisture Index (NDMI). 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