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การใช้เทคโนโลยีการสำรวจระยะไกลเพื่อใช้เป็นข้อมูลในการสำรวจพื้นที่ปลูกข้าว และการพยากรณ์ผลผลิตข้าวในประเทศไทย Thai Agricultural
Amornrat Intrman; Sommai Lertna; Andrew Nelson; Tri Deri Setiyono; Francesco Holecz; Pongmanee Thonbai; Preesan Rakwathin.
Remote Sensing - based Information and Insurance for Crops in Emerging Economics (RIICE) is a collaborative project between 3 organizations: the International Rice Research Institute (IRRI), SARMAP and the Rice Department of Thailand. The experiment was conducted during 2013 - 2015 in the areas under responsibility of Suphan Buri Rice Research Center and Nakhon Ratchasrima Rice Research Center. The satellite COSMO Skymed, stripmap type with 3-meter resolution and 40 x 40 kilometer-wide image, was used at Nakhon Ratchasrima, while the satellite COSMO Skymed, scansar type of 15-meter resolution and 100 x 100 kilometer-wide image, was used at Suphan Buri. The different fields survey was conducted to collect geographic coordinates, crop management by farmers,...
Tipo: Collection Palavras-chave: Remote sensing; Yield prediction; Rice การสำรวจระยะไกล คาดการณ์ผลผลิต ข้าว.
Ano: 2015 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5863
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การใช้เทคโนโลยีการสำรวจระยะไกลเพื่อใช้เป็นข้อมูลในการสำรวจพื้นที่ปลูกข้าว และการพยากรณ์ผลผลิตข้าวประเทศไทย Thai Agricultural
Amornrat Intrman; Sommai Lertna; Andrew Nelson; Tri Deri Setiyono; Francesco Holecz; Pongmanee Thonbai; Preesan Rakwathin.
RIICE is an activity in RIICE project which to find ways of helping Asian countries are faced with a natural disaster. Especially floods and droughts caused by the cooperation of the three organizations, namely International Rice Research Institute (IRRI), SARMAP and Rice Department. By the year 2013 - 2015 in the area of responsibility of Suphanburi Rice Research Center and Nakhon Ratchasrima Rice Research Center. In the year 2013 in Nakhon Ratchasima, using satellite COSMO Skymed, type stripmap, resolution 3-meter, width of the image 40 x 40 kilometers. In Suphanburi, using satellite COSMO Skymed, type scansar resolution of 15 meters, the width of the image 100 x 100 kilometers. In each field survey was conducted, collectting geographic coordinates,...
Tipo: Collection Palavras-chave: Rice; Remote sensing; Yield prediction; Natural disaster; ข้าว; การสำรวจระยะไกล; การพยากรณ์ผลผลิต; ภัยธรรมชาติ.
Ano: 2015 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5909
Registros recuperados: 2
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