Suche
Startseite – Unser Team

Talha Mahmood
Schwerpunkte
  • Optische und SAR-Fernerkundung
  • Kulturpflanzenkartierung
  • Bodenfeuchtigkeitskartierung
  • Machine Learning
Wissenschaftlicher Werdegang
  • seit 09/2017
    Doktorand  am Institut für Geowissenschaften und Geographie
  • 07/2016 – 07/2017
    Scientific Officer, National Agriculture Research Center, Islamabad, Pakistan
  • 08/2013 – 04/2016
    Research Assistant, Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
  • 09/2012 – 08/2014
    MSc. (Hons.) Agricultural Engineering, University of Agriculture, Faisalabad, Pakistan
  • 09/2008 -08/2012
    Agricultural Engineering at the University of Agriculture, Faisalabad, Pakistan

Publikationen

2355391 MDLREVTX PeerReview Talha Mahmood 1 american-journal-of-plant-sciences 50 date desc 1 Mahmood, T. 2248 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22H5FRWFY7%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mahmood%20et%20al.%22%2C%22parsedDate%22%3A%222025-01-09%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3B%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Usman%2C%20M.%20and%20Conrad%2C%20C.%20%282025%29%20Selecting%20Relevant%20Features%20for%20Random%20Forest-Based%20Crop%20Type%20Classifications%20by%20Spatial%20Assessments%20of%20Backward%20Feature%20Reduction.%20%26lt%3Bi%26gt%3BPFG%20%26%23×2013%3B%20Journal%20of%20Photogrammetry%2C%20Remote%20Sensing%20and%20Geoinformation%20Science%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs41064-024-00329-4%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs41064-024-00329-4%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Selecting%20Relevant%20Features%20for%20Random%20Forest-Based%20Crop%20Type%20Classifications%20by%20Spatial%20Assessments%20of%20Backward%20Feature%20Reduction%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%22%2C%22lastName%22%3A%22Usman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Random%20Forest%20%28RF%29%20is%20a%5Cu00a0widely%20used%20machine%20learning%20algorithm%20for%20crop%20type%20mapping.%20RF%5Cu2019s%20variable%20importance%20aids%20in%20dimension%20reduction%20and%20identifying%20relevant%20multisource%20hyperspectral%20data.%20In%20this%20study%2C%20we%20examined%20spatial%20effects%20in%20a%5Cu00a0sequential%20backward%20feature%20elimination%20setting%20using%20RF%20variable%20importance%20in%20the%20example%20of%20a%5Cu00a0large-scale%20irrigation%20system%20in%20Punjab%2C%20Pakistan.%20We%20generated%20a%5Cu00a0reference%20classification%20with%20RF%20applied%20to%20122%20SAR%20and%20optical%20features%20from%20time%20series%20data%20of%20Sentinel%5Cu20111%20and%20Sentinel%5Cu20112%2C%20respectively.%20We%20ranked%20features%20based%20on%20variable%20importance%20and%20iteratively%20repeated%20the%20classification%20by%20excluding%20the%20least%20important%20feature%2C%20assessing%20its%20agreement%20with%20the%20reference%20classification.%20McNemar%5Cu2019s%20test%20identified%20the%20critical%20point%20where%20feature%20reduction%20significantly%20affected%20the%20RF%20model%5Cu2019s%20predictions.%20Additionally%2C%20spatial%20assessment%20metrics%20were%20monitored%20at%20the%20pixel%20level%2C%20including%20spatial%20confidence%20%28number%20of%20classifications%20agreeing%20with%20the%20reference%20map%29%20and%20spatial%20instability%20%28number%20of%20classes%20occurring%20during%20feature%20reduction%29.%20This%20process%20was%20repeated%2010%5Cu00a0times%20with%20ten%20distinct%20stratified%20random%20sampling%20splits%2C%20which%20showed%20similar%20variable%20rankings%20and%20critical%20points.%20In%20particular%2C%20VH%20SAR%20data%20was%20selected%20when%20cloud-free%20optical%20observations%20were%20unavailable.%20Omitting%2080%25%20of%20the%20features%20resulted%20in%20an%20insignificant%20loss%20of%20only%202%25%20overall%20accuracy%2C%20while%20spatial%20confidence%20decreased%20by%205%25.%20Moreover%2C%20the%20crop%20map%20at%20the%20critical%20point%20exhibited%20an%20increase%20in%20spatial%20instability%20from%20a%5Cu00a0single%20crop%20to%201.28.%20McNemar%5Cu2019s%20test%20and%20the%20spatial%20assessment%20metrics%20are%20recommended%20for%20optimized%20feature%20reduction%20benchmarks%20and%20identifying%20areas%20requiring%20additional%20ground%20data%20to%20improve%20the%20results.%22%2C%22date%22%3A%222025-01-09%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1007%5C%2Fs41064-024-00329-4%22%2C%22ISSN%22%3A%222512-2789%2C%202512-2819%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flink.springer.com%5C%2F10.1007%5C%2Fs41064-024-00329-4%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222025-01-13T14%3A41%3A03Z%22%7D%7D%2C%7B%22key%22%3A%224B362AC5%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mahmood%20et%20al.%22%2C%22parsedDate%22%3A%222024-08-19%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3B%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20L%26%23xF6%3Bw%2C%20J.%2C%20P%26%23xF6%3Bhlitz%2C%20J.%2C%20Wenzel%2C%20J.L.%20and%20Conrad%2C%20C.%20%282024%29%20Estimation%20of%20100%20m%20Root%20Zone%20Soil%20Moisture%20by%20Downscaling%201%20Km%20Soil%20Water%20Index%20with%20Machine%20Learning%20and%20Multiple%20Geodata.%20%26lt%3Bi%26gt%3BEnvironmental%20Monitoring%20and%20Assessment%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bb%26gt%3B196%26lt%3B%5C%2Fb%26gt%3B%2C%20823.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10661-024-12969-5%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2Fhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10661-024-12969-5%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Estimation%20of%20100%20m%20root%20zone%20soil%20moisture%20by%20downscaling%201%20km%20soil%20water%20index%20with%20machine%20learning%20and%20multiple%20geodata%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Johannes%22%2C%22lastName%22%3A%22L%5Cu00f6w%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julia%22%2C%22lastName%22%3A%22P%5Cu00f6hlitz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jan%20Lukas%22%2C%22lastName%22%3A%22Wenzel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024-08-19%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs10661-024-12969-5%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222025-07-09T09%3A06%3A01Z%22%7D%7D%2C%7B%22key%22%3A%22DA688NT2%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Saddique%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BSaddique%2C%20%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%20and%20Bernhofer%2C%20C.%20%282020%29%20Quantifying%20the%20Impacts%20of%20Land%20Use%5C%2FLand%20Cover%20Change%20on%20the%20Water%20Balance%20in%20the%20Aforested%20River%20Basin%2C%20Pakistan.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Flink.springer.com%5C%2Fcontent%5C%2Fpdf%5C%2F10.1007%5C%2Fs12665-020-09206-w.pdf%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Flink.springer.com%5C%2Fcontent%5C%2Fpdf%5C%2F10.1007%5C%2Fs12665-020-09206-w.pdf%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Quantifying%20the%20impacts%20of%20land%20use%5C%2Fland%20cover%20change%20on%20the%20water%20balance%20in%20the%20aforested%20River%20Basin%2C%20Pakistan%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22name%22%3A%22Saddique%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%22%2C%22lastName%22%3A%22Bernhofer%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22English%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flink.springer.com%5C%2Fcontent%5C%2Fpdf%5C%2F10.1007%5C%2Fs12665-020-09206-w.pdf%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222022-01-22T13%3A26%3A21Z%22%7D%7D%2C%7B%22key%22%3A%22ICJAVZ9V%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Usman%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BUsman%2C%20M.%2C%20%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Conrad%2C%20C.%20and%20Bodla%2C%20H.U.%20%282020%29%20Remote%20Sensing%20and%20Modelling%20Based%20Framework%20for%20Valuing%20Irrigation%20System%20Efficiency%20and%20Steering%20Indicators%20of%20Consumptive%20Water%20Use%20in%20an%20Irrigated%20Region.%20%26lt%3Bi%26gt%3BSustainability%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bb%26gt%3B12%26lt%3B%5C%2Fb%26gt%3B%2C%209535.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu12229535%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu12229535%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Remote%20Sensing%20and%20Modelling%20Based%20Framework%20for%20Valuing%20Irrigation%20System%20Efficiency%20and%20Steering%20Indicators%20of%20Consumptive%20Water%20Use%20in%20an%20Irrigated%20Region%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%22%2C%22lastName%22%3A%22Usman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Habib%20Ullah%22%2C%22lastName%22%3A%22Bodla%22%7D%5D%2C%22abstractNote%22%3A%22Water%20crises%20are%20becoming%20severe%20in%20recent%20times%2C%20further%20fueled%20by%20population%20increase%20and%20climate%20change.%20They%20result%20in%20complex%20and%20unsustainable%20water%20management.%20Spatial%20estimation%20of%20consumptive%20water%20use%20is%20vital%20for%20performance%20assessment%20of%20the%20irrigation%20system%20using%20Remote%20Sensing%20%28RS%29.%20For%20this%20study%2C%20its%20estimation%20is%20done%20using%20the%20Soil%20Energy%20Balance%20Algorithm%20for%20Land%20%28SEBAL%29%20approach.%20Performance%20indicators%20including%20equity%2C%20adequacy%2C%20and%20reliability%20were%20worked%20out%20at%20various%20spatiotemporal%20scales.%20Moreover%2C%20optimization%20and%20sustainable%20use%20of%20water%20resources%20are%20not%20possible%20without%20knowing%20the%20factors%20mainly%20influencing%20consumptive%20water%20use%20of%20major%20crops.%20For%20that%20purpose%2C%20random%20forest%20regression%20modelling%20was%20employed%20using%20various%20sets%20of%20factors%20for%20site-specific%2C%20proximity%2C%20and%20cropping%20system.%20The%20results%20show%20that%20the%20system%20is%20underperforming%20both%20for%20Kharif%20%28i.e.%2C%20summer%29%20and%20Rabi%20%28i.e.%2C%20winter%29%20seasons.%20Performance%20indicators%20highlight%20poor%20water%20distribution%20in%20the%20system%2C%20a%20shortage%20of%20water%20supply%2C%20and%20unreliability.%20The%20results%20are%20relatively%20good%20for%20Rabi%20as%20compared%20to%20Kharif%2C%20with%20an%20overall%20poor%20situation%20for%20both%20seasons.%20Factors%20importance%20varies%20for%20different%20crops.%20Overall%2C%20distance%20from%20canal%2C%20road%20density%2C%20canal%20density%2C%20and%20farm%20approachability%20are%20the%20most%20important%20factors%20for%20explaining%20consumptive%20water%20use.%20Auditing%20of%20consumptive%20water%20use%20shows%20the%20potential%20for%20resource%20optimization%20through%20on-farm%20water%20management%20by%20the%20targeted%20approach.%20The%20results%20are%20based%20on%20the%20present%20situation%20without%20considering%20future%20changes%20in%20canal%20water%20supply%20and%20consumptive%20water%20use%20under%20climate%20change.%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fsu12229535%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2071-1050%5C%2F12%5C%2F22%5C%2F9535%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222021-12-02T09%3A39%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22NPKFZ39E%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Liaqat%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BLiaqat%2C%20M.U.%2C%20Cheema%2C%20M.%2C%20Huang%2C%20W.%2C%20%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%2C%20Zaman%2C%20M.%20and%20Khan%2C%20M.M.%20%282017%29%20Evaluation%20of%20MODIS%20and%20Landsat%20Multiband%20Vegetation%20Indices%20Used%20for%20Wheat%20Yield%20Estimation%20in%20Irrigated%20Indus%20Basin.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fabs%5C%2Fpii%5C%2FS0168169916310456%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fabs%5C%2Fpii%5C%2FS0168169916310456%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evaluation%20of%20MODIS%20and%20Landsat%20multiband%20vegetation%20indices%20used%20for%20wheat%20yield%20estimation%20in%20irrigated%20Indus%20Basin%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%20Usman%22%2C%22lastName%22%3A%22Liaqat%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22MJM%22%2C%22lastName%22%3A%22Cheema%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Wenjiang%22%2C%22lastName%22%3A%22Huang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%22%2C%22lastName%22%3A%22Zaman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%20Mohsin%22%2C%22lastName%22%3A%22Khan%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222017%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fabs%5C%2Fpii%5C%2FS0168169916310456%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222022-01-22T13%3A26%3A14Z%22%7D%7D%5D%7D
1
Mahmood, T., Usman, M. and Conrad, C. (2025) Selecting Relevant Features for Random Forest-Based Crop Type Classifications by Spatial Assessments of Backward Feature Reduction. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-024-00329-4.
1
Mahmood, T., Löw, J., Pöhlitz, J., Wenzel, J.L. and Conrad, C. (2024) Estimation of 100 m Root Zone Soil Moisture by Downscaling 1 Km Soil Water Index with Machine Learning and Multiple Geodata. Environmental Monitoring and Assessment, 196, 823. https://doi.org/https://doi.org/10.1007/s10661-024-12969-5.
1
Saddique, Mahmood, T. and Bernhofer, C. (2020) Quantifying the Impacts of Land Use/Land Cover Change on the Water Balance in the Aforested River Basin, Pakistan. https://link.springer.com/content/pdf/10.1007/s12665-020-09206-w.pdf.
1
Usman, M., Mahmood, T., Conrad, C. and Bodla, H.U. (2020) Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region. Sustainability, 12, 9535. https://doi.org/10.3390/su12229535.
1
Liaqat, M.U., Cheema, M., Huang, W., Mahmood, T., Zaman, M. and Khan, M.M. (2017) Evaluation of MODIS and Landsat Multiband Vegetation Indices Used for Wheat Yield Estimation in Irrigated Indus Basin. https://www.sciencedirect.com/science/article/abs/pii/S0168169916310456.
2355391 MDLREVTX BookContributions Talha Mahmood 1 american-journal-of-plant-sciences 50 date desc 1 Mahmood, T. 2248 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
2355391 MDLREVTX ConferencePaper Talha Mahmood 1 american-journal-of-plant-sciences 50 date desc 1 Mahmood, T. 2248 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22H254DZGG%22%2C%22library%22%3A%7B%22id%22%3A2355391%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Usman%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%201.35%3B%20%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%20style%3D%26quot%3Bclear%3A%20left%3B%20%26quot%3B%26gt%3B%5Cn%20%20%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-left-margin%26quot%3B%20style%3D%26quot%3Bfloat%3A%20left%3B%20padding-right%3A%200.5em%3B%20text-align%3A%20right%3B%20width%3A%201em%3B%26quot%3B%26gt%3B1%20%26lt%3B%5C%2Fdiv%26gt%3B%26lt%3Bdiv%20class%3D%26quot%3Bcsl-right-inline%26quot%3B%20style%3D%26quot%3Bmargin%3A%200%20.4em%200%201.5em%3B%26quot%3B%26gt%3BUsman%2C%20M.%2C%20%26lt%3Bstrong%26gt%3BMahmood%2C%20T.%26lt%3B%5C%2Fstrong%26gt%3B%20and%20Conrad%2C%20C.%20%282019%29%20Performance%20Assessment%20of%20Human%20Controlled%20Irrigation%20System%20in%20the%20Semi-Arid%20Punjab%20of%20Pakistan.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20target%3D%26%23039%3B_blank%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fui.adsabs.harvard.edu%5C%2Fabs%5C%2F2019AGUFM.H31L1895U%5C%2Fabstract%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fui.adsabs.harvard.edu%5C%2Fabs%5C%2F2019AGUFM.H31L1895U%5C%2Fabstract%26lt%3B%5C%2Fa%26gt%3B.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%20%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Performance%20Assessment%20of%20Human%20Controlled%20Irrigation%20System%20in%20the%20Semi-arid%20Punjab%20of%20Pakistan%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Muhammad%22%2C%22lastName%22%3A%22Usman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Talha%22%2C%22lastName%22%3A%22Mahmood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Conrad%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222019%22%2C%22proceedingsTitle%22%3A%22%22%2C%22conferenceName%22%3A%22American%20Geophysical%20Union%2C%20Fall%20Meeting%202019%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fui.adsabs.harvard.edu%5C%2Fabs%5C%2F2019AGUFM.H31L1895U%5C%2Fabstract%22%2C%22collections%22%3A%5B%22MDLREVTX%22%5D%2C%22dateModified%22%3A%222022-01-22T13%3A16%3A38Z%22%7D%7D%5D%7D
1
Usman, M., Mahmood, T. and Conrad, C. (2019) Performance Assessment of Human Controlled Irrigation System in the Semi-Arid Punjab of Pakistan. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H31L1895U/abstract.
2355391 MDLREVTX Presentation Talha Mahmood 1 american-journal-of-plant-sciences 50 date desc 1 Mahmood, T. 2248 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
2355391 MDLREVTX Others Talha Mahmood 1 american-journal-of-plant-sciences 50 date desc 1 Mahmood, T. 2248 https://geooeko.geo.uni-halle.de/wp-content/plugins/zotpress/
Talha Mahmood
  • Raum H4 1.37
  • Sprechzeiten nach Vereinbarung
  • 0345/55-26048
  • talha.mahmood@student.uni-halle.de