04122nas|a2200493 i 4500 20260817161905.0 020208s2001 th uu m rtt 00| a1eng d .b11844516 AIT Thesis no.SR-01-10 Shofiyati, Rizatus Agricultural drought monitoring and assessment using remote sensing and GIS : an application for Upper Brantas Watershed, Indonesia Bangkok : Asian Institute of Technology, 2001 79 leaves Thesis ; no. SR-01-10 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies Thesis (M. Sc.) - Asian Institute of Technology, 2001 rt is obvious that the government has to maintain food security for the country, as the demand for food is significantly increasing. Rice, a staple food for Indonesia, should be well pr~pared at all times and, therefore, a justifiable planning of agricultural development should ;be appropriately provided. It is evidenced that drought hazard is influencing crop production and, so the drought monitoring is important to anticipate such situation. Current method used to monitor the threat of drought is apparently various in number and in different approaches to withdraw valuable information and to anticipate the drought hazards. This study aims at the analysis of such methods applied for drought monitoring useful in the agricultural planning process of the national-wide development. The study shows that multi temporal analysis to investigate the fluctuation of vegetation indices and brightness temperature is useful to monitor drought condition. The integration of high and low-resolution data to obtain an optimum technique using multi-resolution satellite data is quite promisingly to apply for Brantas Watershed in East Java, Indonesia. The NOAA A VHRR image was applied as the data with high temporal resolution and Landsat TM as the data with high spatial resolution. Combining remote sensing and GIS analysis using multi factor analysis a more accurate monitoring and assessment method has been developed. The a good relationship was found between Drought Status (DS) which is the indicator for assessing drought and Drought Risk (DR) level which was produced by weighted parameters that influence the drought. The increasing of DS is highly correlated with DR. Drought forecasting Indonesia Geographic information systems Drought forecasting Remote sensing Honda, Kiyoshi, Chairperson Borne, Frederic, Examination committee Wijesekera, Sohan N.T., Examination committee Surat Lertlum, Examination committee Government of the Republic of Indonesia, Scholarship donor Asian Institute of Technology. Thesis ; no. SR-01-10 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B09437 .b11844516 mnait u 251002 0 020208 m a u 0 000:001:PDF:b1184451:002016:0:0:0:0:0:0 Abstract--AIT Thesis no.SR-01-10 n mnait mnait mnait mnarc 22 20 40 Barcode : 30050120694434 CREATED : 2014-04-28 RECORD # : i12792603 LPATRON : 1026274 LCHKIN : 2015-09-19 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 2 TOT RENEW : 0 Barcode : 30050120694418 CREATED : 2015-12-02 RECORD # : i1283905x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050160023536 CREATED : 2016-01-04 RECORD # : i1291938x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050121017981 CREATED : 2020-10-07 RECORD # : i13281495 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 3034 3034 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.SR-01-10 30050120694434 2026-08-17 16:19:05 3 2026-08-17 22 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.SR-01-10 30050120694418 2026-08-17 16:19:05 4 2026-08-17 20 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.SR-01-10 30050160023536 2026-08-17 16:19:05 1 2026-08-17 40 0 0 0 0 MAIN MAIN mnait 2026-08-17 0 AIT Thesis no.SR-01-10 30050121017981 2026-08-17 16:19:05 1 2026-08-17 20