{"id":14009,"date":"2021-04-27T19:04:19","date_gmt":"2021-04-27T17:04:19","guid":{"rendered":"http:\/\/cienciagandia.webs.upv.es\/?p=14009"},"modified":"2021-04-27T19:02:19","modified_gmt":"2021-04-27T17:02:19","slug":"teledeteccio-de-parcelles-de-citrics-abandonades","status":"publish","type":"post","link":"https:\/\/cienciagandia.webs.upv.es\/ca\/2021\/04\/teledeteccio-de-parcelles-de-citrics-abandonades\/","title":{"rendered":"Teledetecci\u00f3 de parcel\u00b7les de c\u00edtrics abandonades"},"content":{"rendered":"

L’aband\u00f3 de les terres agr\u00edcoles \u00e9s un problema cada vegada major i la Comunitat Valenciana, una de les regions productores de c\u00edtrics m\u00e9s importants, \u00e9s una de les que m\u00e9s pateix aquesta situaci\u00f3. Per aix\u00f2, personal investigador del Campus de Gandia<\/a> de la Universitat Polit\u00e8cnica de Val\u00e8ncia (UPV)<\/a> ha realitzat un estudi en el qual es proposa l’\u00fas d’imatges d’alta resoluci\u00f3 i t\u00e8cniques d’aprenentatge autom\u00e0tic per a la teledetecci\u00f3 de parcel\u00b7les de c\u00edtrics abandonades.<\/strong><\/p>\n

\u201cLa teledetecci\u00f3 pot aportar una informaci\u00f3 molt valuosa per al control, el seguiment i la gesti\u00f3 de les parcel\u00b7les agr\u00edcoles\u201d,<\/strong> ha indicat Sergio Morell<\/a><\/strong>, investigador del Campus. \u201cTradicionalment, els mapes agr\u00edcoles s’han generat mitjan\u00e7ant fotointerpretaci\u00f3 d’ortofotografies o a trav\u00e9s de campanyes de camp. Per\u00f2, en l’actualitat, la teledetecci\u00f3 s’ha convertit en una eina poderosa per a obtenir mapes d’usos del s\u00f2l que pot reempla\u00e7ar la creaci\u00f3 de mapes manuals amb un \u00fas m\u00e9s eficient dels recursos personals i una major immediatesa\u201d.<\/p>\n

\"\"<\/p>\n

L’estudi, dut a terme per Morell juntament amb personal expert en teledetecci\u00f3, Mar\u00eda Teresa Sebasti\u00e1<\/a><\/strong>, i Javier Estornell<\/strong><\/a>, del Campus de Gandia, mostra la dificultat per a detectar parcel\u00b7les abandonades de c\u00edtrics a trav\u00e9s de les imatges del sat\u00e8l\u00b7lit Sentinel-2 del programa Copernicus de la Comissi\u00f3 Europea i proposa l’\u00fas d’imatges d’alta resoluci\u00f3. En el nostre territori, aquesta dificultat \u201c\u00e9s deguda a la xicoteta grand\u00e0ria de les explotacions agr\u00edcoles, a l’alta fragmentaci\u00f3 espacial i a les m\u00ednimes difer\u00e8ncies espectrals entre parcel\u00b7les abandonades i en producci\u00f3\u201d.<\/p>\n

\"\"<\/p>\n

En el treball, publicat en la revista Remote Sensing <\/em>i que \u00e9s fruit de la tesi doctoral<\/strong> de Sergio Morell<\/strong>, s’ha desenvolupat una metodologia per a la detecci\u00f3 de parcel\u00b7les abandonades<\/strong> i s’ha demostrat que les imatges a\u00e8ries d’alta resoluci\u00f3 amb quatre bandes espectrals generen resultats m\u00e9s precisos que les imatges Sentinel-2 per a identificar xicotetes parcel\u00b7les de c\u00edtrics abandonades.<\/p>\n

NOU ENFOCAMENT <\/strong><\/p>\n

L’aband\u00f3 de terres ha sigut estudiat en el camp de la teledetecci\u00f3. No obstant aix\u00f2, fins ara, ha sigut poc estudiat i no s’hi havia<\/strong> geolocalitzat l’aband\u00f3 de terres de c\u00edtrics amb aquest nivell de detall<\/strong>. Com ha explicat Morell, \u201cla metodologia proposada combina t\u00e8cniques de teledetecci\u00f3 i aprenentatge autom\u00e0tic que permeten classificar una parcel\u00b7la agr\u00edcola en tres categories<\/strong> (abandonada, productiva i no productiva) a partir de caracter\u00edstiques espectrals i de textura extretes d’una imatge d’alta resoluci\u00f3. La metodologia va obtenir una precisi\u00f3 de classificaci\u00f3 del 95% <\/strong>en l’\u00e0rea d’entrenament i d’un 93% fora d’aquesta \u00e0rea\u201d. Per a Morell, \u201cel treball proporciona un nou enfocament per a detectar parcel\u00b7les agr\u00edcoles abandonades de grand\u00e0ria redu\u00efda en cultius llenyosos de fulla perenne\u201d. <\/strong><\/p>\nhttps:\/\/cienciagandia.webs.upv.es\/wp-content\/uploads\/2021\/04\/entrevista.mp3<\/a><\/audio>\n

 <\/p>\n

A m\u00e9s, la identificaci\u00f3 precisa de l’aband\u00f3 de terres ofereix informaci\u00f3 \u00fatil \u201cper a avaluar l’efectivitat de les pol\u00edtiques agr\u00edcoles, realitzar inventaris de c\u00edtrics i estimacions de rendiment anual, per a la gesti\u00f3 del paisatge i dels recursos h\u00eddrics<\/strong>, entre altres\u201d.<\/p>\n

\"\"<\/p>\n

APLICACI\u00d3 A OLIVA<\/strong><\/p>\n

\"\"<\/p>\n

Per a l’estudi, el personal investigador s’ha centrat en el municipi d’Oliva. La localitat abasta una superf\u00edcie de 59.600 hect\u00e0rees, de les quals el 50% est\u00e0 disponible per a l’agricultura (95% c\u00edtrics). No obstant aix\u00f2, la situaci\u00f3 desfavorable de les campanyes de c\u00edtrics valencians en el mercat europeu, les febleses del mateix sector juntament amb l’expansi\u00f3 urbana i el turisme competeixen amb els usos agr\u00edcoles i estan promovent l’aband\u00f3 de terres en aquest municipi. Les primeres dades derivades d’aquesta metodologia suggereixen que, \u201ca Oliva, aproximadament el 30% de les parcel\u00b7les agr\u00edcoles estan abandonades<\/strong>. Aquests resultats posen de manifest la necessitat de la metodologia per a evitar subestimar la superf\u00edcie abandonada\u201d. Addicionalment, la metodologia va ser provada en altres municipis de la Comunitat Valenciana amb cultius de c\u00edtrics com Bellreguard-Almoines<\/strong> Benicull-Poliny\u00e0 del X\u00faquer i Nules.<\/strong><\/p>\n

 <\/p>\n

M\u00e9s informaci\u00f3:<\/p>\n

Morell-Monz\u00f3, S.; Sebasti\u00e1-Frasquet, M.-T.; Estornell, J. Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information.\u00a0Remote Sens.\u00a02021<\/strong>,\u00a013, 681.<\/a><\/p>\n

Morell-Monz\u00f3, S.; Estornell, J.; Sebasti\u00e1-Frasquet, M.-T. Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas.\u00a0Remote Sens.\u00a02020<\/strong>,\u00a012, 2062<\/a>.<\/p>\n

\n

Font: Laida Frasquet Pascual<\/strong><\/p>\n

\u00c0rea de Comunicaci\u00f3 del Campus de Gandia<\/p>\n","protected":false},"excerpt":{"rendered":"

L’aband\u00f3 de les terres agr\u00edcoles \u00e9s un problema cada vegada major i la Comunitat Valenciana, una de les regions productores de c\u00edtrics m\u00e9s importants, \u00e9s … Llegir m\u00e9s<\/a><\/p>\n","protected":false},"author":15,"featured_media":13996,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[246],"tags":[],"class_list":["post-14009","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ambientals","resize-featured-image"],"yoast_head":"\nTeledetecci\u00f3 de parcel\u00b7les de c\u00edtrics abandonades - Campus de Gandia Ciencia - UPV Universitat Polit\u00e8cnica de Val\u00e8ncia<\/title>\n<meta name=\"description\" content=\"Investigadors de la UPV han realitzat un estudi per a la teledetecci\u00f3 de parcel\u00b7les de c\u00edtrics abandonats.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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